Articles | Volume 21, issue 5
https://doi.org/10.5194/nhess-21-1383-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-1383-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
04 May 2021
Review article |
| 04 May 2021
| 04 May 2021
Review article: Towards resilient vital infrastructure systems – challenges, opportunities, and future research agenda
Seyedabdolhossein Mehvar
CORRESPONDING AUTHOR
Department of Civil Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, the Netherlands
Kathelijne Wijnberg
Department of Civil Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, the Netherlands
Bas Borsje
Department of Civil Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, the Netherlands
Norman Kerle
Faculty of Geo-Information Science and Earth Observation, University of Twente, 7500 AE Enschede, the Netherlands
Jan Maarten Schraagen
Faculty of Behavioral, Management and Social Sciences, University
of Twente, 7500 AE Enschede, the Netherlands
TNO Defence, Safety and Security, 3769 ZG Soesterberg, the
Netherlands
Joanne Vinke-de Kruijf
Department of Civil Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, the Netherlands
Karst Geurs
Department of Civil Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, the Netherlands
Andreas Hartmann
Department of Civil Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, the Netherlands
Rick Hogeboom
Department of Civil Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, the Netherlands
Faculty of Geo-Information Science and Earth Observation, University of Twente, 7500 AE Enschede, the Netherlands
Water Footprint Network, 7500 AE Enschede, the Netherlands
Suzanne Hulscher
Department of Civil Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, the Netherlands
Related authors
No articles found.
Aulia Imania Sukma, Mila N. Koeva, Diana Reckien, Marija Bockarjova, Andre da Silva Mano, Giulia Canili, Giovanni Vicentini, and Norman Kerle
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W11-2024, 129–136, https://doi.org/10.5194/isprs-archives-XLVIII-4-W11-2024-129-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-W11-2024-129-2024, 2024
Han Su, Bárbara Willaarts, Diana Luna-Gonzalez, Maarten S. Krol, and Rick J. Hogeboom
Earth Syst. Sci. Data, 14, 4397–4418, https://doi.org/10.5194/essd-14-4397-2022, https://doi.org/10.5194/essd-14-4397-2022, 2022
Short summary
Short summary
There are over 608 million farms around the world but they are not the same. We developed high spatial resolution maps showing where small and large farms were located and which crops were planted for 56 countries. We checked the reliability and have the confidence to use them for the country level and global studies. Our maps will help more studies to easily measure how agriculture policies, water availability, and climate change affect small and large farms.
This article is included in the Encyclopedia of Geosciences
N. Zhang, F. Nex, G. Vosselman, and N. Kerle
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1189–1196, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022, 2022
S. Karam, F. Nex, O. Karlsson, J. Rydell, E. Bilock, M. Tulldahl, M. Holmberg, and N. Kerle
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 203–210, https://doi.org/10.5194/isprs-annals-V-1-2022-203-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-203-2022, 2022
Oleksandr Mialyk, Joep F. Schyns, Martijn J. Booij, and Rick J. Hogeboom
Hydrol. Earth Syst. Sci., 26, 923–940, https://doi.org/10.5194/hess-26-923-2022, https://doi.org/10.5194/hess-26-923-2022, 2022
Short summary
Short summary
As the global demand for crops is increasing, it is vital to understand spatial and temporal patterns of crop water footprints (WFs). Previous studies looked into spatial patterns but not into temporal ones. Here, we present a new process-based gridded crop model to simulate WFs and apply it for maize in 1986–2016. We show that despite the average unit WF reduction (−35 %), the global WF of maize production has increased (+50 %), which might harm ecosystems and human livelihoods in some regions.
This article is included in the Encyclopedia of Geosciences
Chiu H. Cheng, Jaco C. de Smit, Greg S. Fivash, Suzanne J. M. H. Hulscher, Bas W. Borsje, and Karline Soetaert
Earth Surf. Dynam., 9, 1335–1346, https://doi.org/10.5194/esurf-9-1335-2021, https://doi.org/10.5194/esurf-9-1335-2021, 2021
Short summary
Short summary
Shells are biogenic particles that are widespread throughout natural sandy environments and can affect the bed roughness and seabed erodibility. As studies are presently lacking, we experimentally measured ripple formation and migration using natural sand with increasing volumes of shell material under unidirectional flow in a racetrack flume. We show that shells expedite the onset of sediment transport, reduce ripple dimensions and slow their migration rate.
This article is included in the Encyclopedia of Geosciences
N. Zhang, F. Nex, N. Kerle, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 427–432, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021, 2021
Ringo Ossewaarde, Tatiana Filatova, Yola Georgiadou, Andreas Hartmann, Gül Özerol, Karin Pfeffer, Peter Stegmaier, Rene Torenvlied, Mascha van der Voort, Jord Warmink, and Bas Borsje
Nat. Hazards Earth Syst. Sci., 21, 1119–1133, https://doi.org/10.5194/nhess-21-1119-2021, https://doi.org/10.5194/nhess-21-1119-2021, 2021
Short summary
Short summary
The aim of this paper is to review and structure current developments in resilience research in the field of climate change studies, in terms of the approaches, definitions, models, and commitments that are typical for naturalist and constructivist research and propose a research agenda of topics distilled from current developments in resilience research.
This article is included in the Encyclopedia of Geosciences
Zhan Hu, Pim W. J. M. Willemsen, Bas W. Borsje, Chen Wang, Heng Wang, Daphne van der Wal, Zhenchang Zhu, Bas Oteman, Vincent Vuik, Ben Evans, Iris Möller, Jean-Philippe Belliard, Alexander Van Braeckel, Stijn Temmerman, and Tjeerd J. Bouma
Earth Syst. Sci. Data, 13, 405–416, https://doi.org/10.5194/essd-13-405-2021, https://doi.org/10.5194/essd-13-405-2021, 2021
Short summary
Short summary
Erosion and accretion processes govern the ecogeomorphic evolution of intertidal (salt marsh and tidal flat) ecosystems and hence substantially affect their valuable ecosystem services. By applying a novel sensor, we obtained unique high-resolution daily bed-level change datasets from 10 marsh–mudflat sites in northwestern Europe. This dataset has revealed diverse spatial bed-level change patterns over daily to seasonal scales, which are valuable to theoretical and model development.
This article is included in the Encyclopedia of Geosciences
S. M. Tilon, F. Nex, D. Duarte, N. Kerle, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 573–582, https://doi.org/10.5194/isprs-annals-V-2-2020-573-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-573-2020, 2020
Filipe Galiforni-Silva, Kathelijne M. Wijnberg, and Suzanne J. M. H. Hulscher
Earth Surf. Dynam., 8, 335–350, https://doi.org/10.5194/esurf-8-335-2020, https://doi.org/10.5194/esurf-8-335-2020, 2020
Short summary
Short summary
Storm surges are often related to coastal dune erosion. We found that, for specific coastal settings, storm surges may enhance dune growth rather than only undermine it. Using a computer model and elevation data, we noticed that storm surges could deposit sand onto the sand flat from sand previously deposited closer to the sea. As they move to areas farther from the sea, it becomes easier for the wind to move this sand to the dunes. These findings may help coastal managers and policymakers.
This article is included in the Encyclopedia of Geosciences
Anouk Bomers, Ralph M. J. Schielen, and Suzanne J. M. H. Hulscher
Nat. Hazards Earth Syst. Sci., 19, 1895–1908, https://doi.org/10.5194/nhess-19-1895-2019, https://doi.org/10.5194/nhess-19-1895-2019, 2019
Short summary
Short summary
Flood frequency curves are usually highly uncertain since they are based on short data sets of measured discharges or weather conditions. To decrease the confidence intervals, an efficient bootstrap method is developed. With this method, the data set of measured discharges of the Rhine river is extended by approximately 600 years. The study shows that historic flood events decrease the confidence interval of the flood frequency curve significantly, specifically in the range of large floods.
This article is included in the Encyclopedia of Geosciences
N. Kerle, F. Nex, D. Duarte, and A. Vetrivel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W8, 187–194, https://doi.org/10.5194/isprs-archives-XLII-3-W8-187-2019, https://doi.org/10.5194/isprs-archives-XLII-3-W8-187-2019, 2019
Koen D. Berends, Menno W. Straatsma, Jord J. Warmink, and Suzanne J. M. H. Hulscher
Nat. Hazards Earth Syst. Sci., 19, 1737–1753, https://doi.org/10.5194/nhess-19-1737-2019, https://doi.org/10.5194/nhess-19-1737-2019, 2019
Short summary
Short summary
River flooding is a major safety concern. Sophisticated models are used to design ways to decrease flood risk, but until recently it was not feasible to calculate how uncertain these model predictions are. Using a new approach, we have now quantified the uncertainty of 12 interventions along the River Waal. Results show significant but not problematically high uncertainty. We demonstrate that the choice between interventions can be different when uncertainty is taken into account.
This article is included in the Encyclopedia of Geosciences
S. Ghaffarian and N. Kerle
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 297–302, https://doi.org/10.5194/isprs-archives-XLII-2-W13-297-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-297-2019, 2019
D. Duarte, F. Nex, N. Kerle, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 29–36, https://doi.org/10.5194/isprs-annals-IV-2-W5-29-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-29-2019, 2019
Filipe Galiforni Silva, Kathelijne M. Wijnberg, and Suzanne J. M. H. Hulscher
Earth Surf. Dynam. Discuss., https://doi.org/10.5194/esurf-2019-6, https://doi.org/10.5194/esurf-2019-6, 2019
Preprint withdrawn
Short summary
Short summary
Storms are often related to coastal dune erosion. We found that, for specific coastal settings, storms may enhance dune growth rather than only undermine it. Using a computer model and long-term monitoring data, we see that storms may bring sand from areas that are frequently inundated to areas that are often above the water. When above the water, this sand can be more easily transported by the wind and deposited on the dunes. These findings may help coastal managers and policymakers.
This article is included in the Encyclopedia of Geosciences
Johnny Cusicanqui, Norman Kerle, and Francesco Nex
Nat. Hazards Earth Syst. Sci., 18, 1583–1598, https://doi.org/10.5194/nhess-18-1583-2018, https://doi.org/10.5194/nhess-18-1583-2018, 2018
Short summary
Short summary
Aerial multi-perspective images can be used for the effective assessment of post-disaster structural damage. Alternatively, rapidly available video data can be processed for the same purpose. However, video quality characteristics are different than those of images taken with still cameras. The use of video data in post-disaster damage assessment has not been demonstrated. Based on a comparative assessment, our findings support the application of video data in post-disaster damage assessment.
This article is included in the Encyclopedia of Geosciences
D. Duarte, F. Nex, N. Kerle, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 89–96, https://doi.org/10.5194/isprs-annals-IV-2-89-2018, https://doi.org/10.5194/isprs-annals-IV-2-89-2018, 2018
D. Duarte, F. Nex, N. Kerle, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 93–100, https://doi.org/10.5194/isprs-archives-XLII-2-W6-93-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-93-2017, 2017
Tom Brouwer, Dirk Eilander, Arnejan van Loenen, Martijn J. Booij, Kathelijne M. Wijnberg, Jan S. Verkade, and Jurjen Wagemaker
Nat. Hazards Earth Syst. Sci., 17, 735–747, https://doi.org/10.5194/nhess-17-735-2017, https://doi.org/10.5194/nhess-17-735-2017, 2017
Short summary
Short summary
The increasing number and severity of floods, driven by e.g. urbanization, subsidence and climate change, create a growing need for accurate and timely flood maps. At the same time social media is a source of much real-time data that is still largely untapped in flood disaster management. This study illustrates that inherently uncertain data from social media can be used to derive information about flooding.
This article is included in the Encyclopedia of Geosciences
W. Kim, N. Kerle, and M. Gerke
Nat. Hazards Earth Syst. Sci., 16, 287–298, https://doi.org/10.5194/nhess-16-287-2016, https://doi.org/10.5194/nhess-16-287-2016, 2016
Short summary
Short summary
This study assesses the value of a novel technology, mobile augmented reality, for rapid damage and safety assessment of the state of buildings in the aftermath of a disaster event. In this study, we propose and demonstrate conceptual frameworks and approaches for in situ ground-based assessment based on augmented reality using mobile devices such as smartphones and tablet PCs.
This article is included in the Encyclopedia of Geosciences
J. Fernandez Galarreta, N. Kerle, and M. Gerke
Nat. Hazards Earth Syst. Sci., 15, 1087–1101, https://doi.org/10.5194/nhess-15-1087-2015, https://doi.org/10.5194/nhess-15-1087-2015, 2015
W. T. Yang, M. Wang, N. Kerle, C. J. Van Westen, L. Y. Liu, and P. J. Shi
Nat. Hazards Earth Syst. Sci., 15, 817–825, https://doi.org/10.5194/nhess-15-817-2015, https://doi.org/10.5194/nhess-15-817-2015, 2015
N. Kerle and R. R. Hoffman
Nat. Hazards Earth Syst. Sci., 13, 97–113, https://doi.org/10.5194/nhess-13-97-2013, https://doi.org/10.5194/nhess-13-97-2013, 2013
Related subject area
Atmospheric, Meteorological and Climatological Hazards
Global estimates of 100-year return values of daily precipitation from ensemble weather prediction data
Exploring the sensitivity of extreme event attribution of two recent extreme weather events in Sweden using long-running meteorological observations
Probabilistic short-range forecasts of high-precipitation events: optimal decision thresholds and predictability limits
Surprise floods: the role of our imagination in preparing for disasters
Modelling crop hail damage footprints with single-polarization radar: the roles of spatial resolution, hail intensity, and cropland density
Insights into ground strike point properties in Europe through the EUCLID lightning location system
The role of citizen science in assessing the spatiotemporal pattern of rainfall events in urban areas: a case study in the city of Genoa, Italy
Precipitation extremes in Ukraine from 1979 to 2019: climatology, large-scale flow conditions, and moisture sources
Characterizing hail-prone environments using convection-permitting reanalysis and overshooting top detections over south-central Europe
Aircraft engine dust ingestion at global airports
Catchment-scale assessment of drought impact on environmental flow in the Indus Basin, Pakistan
The risk of synoptic-scale Arctic cyclones to shipping
Estimation of future rainfall extreme values by temperature-dependent disaggregation of climate model data
Climatic characteristics of the Jianghuai cyclone and its linkage with precipitation during the Meiyu period from 1961 to 2020
Application of the teaching–learning-based optimization algorithm to an analytical model of thunderstorm outflows to analyze the variability of the downburst kinematic and geometric parameters
Projections and uncertainties of winter windstorm damage in Europe in a changing climate
Improving seasonal predictions of German Bight storm activity
A satellite view of the exceptionally warm summer of 2022 over Europe
Demographic yearbooks as a source of weather-related fatalities: the Czech Republic, 1919–2022
FOREWARNS: development and multifaceted verification of enhanced regional-scale surface water flood forecasts
Assessment of wind–damage relations for Norway using 36 years of daily insurance data
Interannual variations in the seasonal cycle of extreme precipitation in Germany and the response to climate change
Convection-permitting climate model representation of severe convective wind gusts and future changes in southeastern Australia
Climatology of large hail in Europe: characteristics of the European Severe Weather Database
Amplified potential for vegetation stress under climate-change-induced intensifying compound extreme events in the Greater Mediterranean Region
GTDI: a gaming integrated drought index implying hazard causing and bearing impacts changing
This article is included in the Encyclopedia of Geosciences
Assimilation of surface pressure observations from personal weather stations in AROME-France
An open-source radar-based hail damage model for buildings and cars
Linkages between atmospheric rivers and humid heat across the United States
Insurance loss model vs meteorological loss index – How comparable are their loss estimates for European windstorms?
Evaluating pySTEPS optical flow algorithms for convection nowcasting over the Maritime Continent using satellite data
Climate change impacts on regional fire weather in heterogeneous landscapes of central Europe
High-resolution projections of ambient heat for major European cities using different heat metrics
Heat wave characteristics: evaluation of regional climate model performances for Germany
Rain-on-snow responses to warmer Pyrenees: a sensitivity analysis using a physically based snow hydrological model
Spatial identification of regions at risk to multi-hazards at pan European level: an implemented methodological approach
Intense rains in Israel associated with the 'Train effect'
On the potential of using smartphone sensors for wildfire hazard estimation
Return levels of extreme European windstorms, their dependency on the North Atlantic Oscillation, and potential future risks
Wind as a natural hazard in Poland
Climatological occurrences of hail and tornadoes associated with mesoscale convective systems in the United States
Characteristics of cloud-to-ground lightning (CG) and differences between +CG and −CG strokes in China regarding the China National Lightning Detection Network
The climatology and nature of warm-season convective cells in cold-frontal environments over Germany
Forecasting large hail and lightning using additive logistic regression models and the ECMWF reforecasts
The impact of global navigation satellite system (GNSS) zenith total delay data assimilation on the short-term precipitable water vapor and precipitation forecast over Italy using the Weather Research and Forecasting (WRF) model
Shallow and deep learning of extreme rainfall events from convective atmospheres
Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya
Future heat extremes and impacts in a convection-permitting climate ensemble over Germany
Assessment of subseasonal-to-seasonal (S2S) ensemble extreme precipitation forecast skill over Europe
A long record of European windstorm losses and its comparison to standard climate indices
Florian Ruff and Stephan Pfahl
Nat. Hazards Earth Syst. Sci., 24, 2939–2952, https://doi.org/10.5194/nhess-24-2939-2024, https://doi.org/10.5194/nhess-24-2939-2024, 2024
Short summary
Short summary
High-impact river floods are often caused by extreme precipitation. Flood protection relies on reliable estimates of the return values. Observational time series are too short for a precise calculation. Here, 100-year return values of daily precipitation are estimated on a global grid based on a large set of model-generated precipitation events from ensemble weather prediction. The statistical uncertainties in the return values can be substantially reduced compared to observational estimates.
This article is included in the Encyclopedia of Geosciences
Erik Holmgren and Erik Kjellström
Nat. Hazards Earth Syst. Sci., 24, 2875–2893, https://doi.org/10.5194/nhess-24-2875-2024, https://doi.org/10.5194/nhess-24-2875-2024, 2024
Short summary
Short summary
Associating extreme weather events with changes in the climate remains difficult. We have explored two ways these relationships can be investigated: one using a more common method and one relying solely on long-running records of meteorological observations.
This article is included in the Encyclopedia of Geosciences
Our results show that while both methods lead to similar conclusions for two recent weather events in Sweden, the commonly used method risks underestimating the strength of the connection between the event and changes to the climate.
François Bouttier and Hugo Marchal
Nat. Hazards Earth Syst. Sci., 24, 2793–2816, https://doi.org/10.5194/nhess-24-2793-2024, https://doi.org/10.5194/nhess-24-2793-2024, 2024
Short summary
Short summary
Weather prediction uncertainties can be described as sets of possible scenarios – a technique called ensemble prediction. Our machine learning technique translates them into more easily interpretable scenarios for various users, balancing the detection of high precipitation with false alarms. Key parameters are precipitation intensity and space and time scales of interest. We show that the approach can be used to facilitate warnings of extreme precipitation.
This article is included in the Encyclopedia of Geosciences
Joy Ommer, Jessica Neumann, Milan Kalas, Sophie Blackburn, and Hannah L. Cloke
Nat. Hazards Earth Syst. Sci., 24, 2633–2646, https://doi.org/10.5194/nhess-24-2633-2024, https://doi.org/10.5194/nhess-24-2633-2024, 2024
Short summary
Short summary
What’s the worst that could happen? Recent floods are often claimed to be beyond our imagination. Imagination is the picturing of a situation in our mind and the emotions that we connect with this situation. But why is this important for disasters? This survey found that when we cannot imagine a devastating flood, we are not preparing in advance. Severe-weather forecasts and warnings need to advance in order to trigger our imagination of what might happen and enable us to start preparing.
This article is included in the Encyclopedia of Geosciences
Raphael Portmann, Timo Schmid, Leonie Villiger, David N. Bresch, and Pierluigi Calanca
Nat. Hazards Earth Syst. Sci., 24, 2541–2558, https://doi.org/10.5194/nhess-24-2541-2024, https://doi.org/10.5194/nhess-24-2541-2024, 2024
Short summary
Short summary
The study presents an open-source model to determine the occurrence of hail damage to field crops and grapevines after hailstorms in Switzerland based on radar, agricultural land use data, and insurance damage reports. The model performs best at 8 km resolution for field crops and 1 km for grapevine and in the main production areas. Highlighting performance trade-offs and the relevance of user needs, the study is a first step towards the assessment of risk and damage for crops in Switzerland.
This article is included in the Encyclopedia of Geosciences
Dieter Roel Poelman, Hannes Kohlmann, and Wolfgang Schulz
Nat. Hazards Earth Syst. Sci., 24, 2511–2522, https://doi.org/10.5194/nhess-24-2511-2024, https://doi.org/10.5194/nhess-24-2511-2024, 2024
Short summary
Short summary
EUCLID's lightning data unveil distinctive ground strike point (GSP) patterns in Europe. Over seas, GSPs per flash surpass inland, reaching a minimum in the Alps. Mountainous areas like the Alps and Pyrenees have the closest GSP separation, highlighting terrain elevation's impact. The daily peak current correlates with average GSPs per flash. These findings could significantly influence lightning protection measures, urging a focus on GSP density rather than flash density for risk assessment.
This article is included in the Encyclopedia of Geosciences
Nicola Loglisci, Giorgio Boni, Arianna Cauteruccio, Francesco Faccini, Massimo Milelli, Guido Paliaga, and Antonio Parodi
Nat. Hazards Earth Syst. Sci., 24, 2495–2510, https://doi.org/10.5194/nhess-24-2495-2024, https://doi.org/10.5194/nhess-24-2495-2024, 2024
Short summary
Short summary
We analyse the meteo-hydrological features of the 27 and 28 August 2023 event that occurred in Genoa. Rainfall observations were made using rain gauge networks based on either official networks or citizen science networks. The merged analysis stresses the spatial variability in the precipitation, which cannot be captured by the current spatial density of authoritative stations. Results show that at minimal distances the variations in cumulated rainfall over a sub-hourly duration are significant.
This article is included in the Encyclopedia of Geosciences
Ellina Agayar, Franziska Aemisegger, Moshe Armon, Alexander Scherrmann, and Heini Wernli
Nat. Hazards Earth Syst. Sci., 24, 2441–2459, https://doi.org/10.5194/nhess-24-2441-2024, https://doi.org/10.5194/nhess-24-2441-2024, 2024
Short summary
Short summary
This study presents the results of a climatological investigation of extreme precipitation events (EPEs) in Ukraine for the period 1979–2019. During all seasons EPEs are associated with pronounced upper-level potential vorticity (PV) anomalies. In addition, we find distinct seasonal and regional differences in moisture sources. Several extreme precipitation cases demonstrate the importance of these processes, complemented by a detailed synoptic analysis.
This article is included in the Encyclopedia of Geosciences
Antonio Giordani, Michael Kunz, Kristopher M. Bedka, Heinz Jürgen Punge, Tiziana Paccagnella, Valentina Pavan, Ines M. L. Cerenzia, and Silvana Di Sabatino
Nat. Hazards Earth Syst. Sci., 24, 2331–2357, https://doi.org/10.5194/nhess-24-2331-2024, https://doi.org/10.5194/nhess-24-2331-2024, 2024
Short summary
Short summary
To improve the challenging representation of hazardous hailstorms, a proxy for hail frequency based on satellite detections, convective parameters from high-resolution reanalysis, and crowd-sourced reports is tested and presented. Hail likelihood peaks in mid-summer at 15:00 UTC over northern Italy and shows improved agreement with observations compared to previous estimates. By separating ambient signatures based on hail severity, enhanced appropriateness for large-hail occurrence is found.
This article is included in the Encyclopedia of Geosciences
Claire L. Ryder, Clément Bézier, Helen F. Dacre, Rory Clarkson, Vassilis Amiridis, Eleni Marinou, Emmanouil Proestakis, Zak Kipling, Angela Benedetti, Mark Parrington, Samuel Rémy, and Mark Vaughan
Nat. Hazards Earth Syst. Sci., 24, 2263–2284, https://doi.org/10.5194/nhess-24-2263-2024, https://doi.org/10.5194/nhess-24-2263-2024, 2024
Short summary
Short summary
Desert dust poses a hazard to aircraft via degradation of engine components. This has financial implications for the aviation industry and results in increased fuel burn with climate impacts. Here we quantify dust ingestion by aircraft engines at airports worldwide. We find Dubai and Delhi in summer are among the dustiest airports, where substantial engine degradation would occur after 1000 flights. Dust ingestion can be reduced by changing take-off times and the altitude of holding patterns.
This article is included in the Encyclopedia of Geosciences
Khalil Ur Rahman, Songhao Shang, Khaled Saeed Balkhair, Hamza Farooq Gabriel, Khan Zaib Jadoon, and Kifayat Zaman
Nat. Hazards Earth Syst. Sci., 24, 2191–2214, https://doi.org/10.5194/nhess-24-2191-2024, https://doi.org/10.5194/nhess-24-2191-2024, 2024
Short summary
Short summary
This paper assesses the impact of drought (meteorological drought) on the hydrological alterations in major rivers of the Indus Basin. Threshold regression and range of variability analysis are used to determine the drought severity and times where drought has caused low flows and extreme low flows (identified using indicators of hydrological alterations). Moreover, this study also examines the degree of alterations in river flows due to drought using the hydrological alteration factor.
This article is included in the Encyclopedia of Geosciences
Alexander Frank Vessey, Kevin I. Hodges, Len C. Shaffrey, and Jonathan J. Day
Nat. Hazards Earth Syst. Sci., 24, 2115–2132, https://doi.org/10.5194/nhess-24-2115-2024, https://doi.org/10.5194/nhess-24-2115-2024, 2024
Short summary
Short summary
The risk posed to ships by Arctic cyclones has seldom been quantified due to the lack of publicly available historical Arctic ship track data. This study investigates historical Arctic ship tracks, cyclone tracks, and shipping incident reports to determine the number of shipping incidents caused by the passage of Arctic cyclones. Results suggest that Arctic cyclones have not been hazardous to ships and that ships are resilient to the rough sea conditions caused by Arctic cyclones.
This article is included in the Encyclopedia of Geosciences
Niklas Ebers, Kai Schröter, and Hannes Müller-Thomy
Nat. Hazards Earth Syst. Sci., 24, 2025–2043, https://doi.org/10.5194/nhess-24-2025-2024, https://doi.org/10.5194/nhess-24-2025-2024, 2024
Short summary
Short summary
Future changes in sub-daily rainfall extreme values are essential in various hydrological fields, but climate scenarios typically offer only daily resolution. One solution is rainfall generation. With a temperature-dependent rainfall generator climate scenario data were disaggregated to 5 min rainfall time series for 45 locations across Germany. The analysis of the future 5 min rainfall time series showed an increase in the rainfall extremes values for rainfall durations of 5 min and 1 h.
This article is included in the Encyclopedia of Geosciences
Ran Zhu and Lei Chen
Nat. Hazards Earth Syst. Sci., 24, 1937–1950, https://doi.org/10.5194/nhess-24-1937-2024, https://doi.org/10.5194/nhess-24-1937-2024, 2024
Short summary
Short summary
There is a positive correlation between the frequency of Jianghuai cyclone activity and precipitation during the Meiyu period. Its occurrence frequency has an obvious decadal variation, which corresponds well with the quasi-periodic and decadal variation in precipitation during the Meiyu period. This study provides a reference for the long-term and short-term forecasting of precipitation during the Meiyu period.
This article is included in the Encyclopedia of Geosciences
Andi Xhelaj and Massimiliano Burlando
Nat. Hazards Earth Syst. Sci., 24, 1657–1679, https://doi.org/10.5194/nhess-24-1657-2024, https://doi.org/10.5194/nhess-24-1657-2024, 2024
Short summary
Short summary
The study provides an in-depth analysis of a severe downburst event in Sânnicolau Mare, Romania, utilizing an analytical model and optimization algorithm. The goal is to explore a multitude of generating solutions and to identify potential alternatives to the optimal solution. Advanced data analysis techniques help to discern three main distinct storm scenarios. For this particular event, the best overall solution from the optimization algorithm shows promise in reconstructing the downburst.
This article is included in the Encyclopedia of Geosciences
Luca G. Severino, Chahan M. Kropf, Hilla Afargan-Gerstman, Christopher Fairless, Andries Jan de Vries, Daniela I. V. Domeisen, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 1555–1578, https://doi.org/10.5194/nhess-24-1555-2024, https://doi.org/10.5194/nhess-24-1555-2024, 2024
Short summary
Short summary
We combine climate projections from 30 climate models with a climate risk model to project winter windstorm damages in Europe under climate change. We study the uncertainty and sensitivity factors related to the modelling of hazard, exposure and vulnerability. We emphasize high uncertainties in the damage projections, with climate models primarily driving the uncertainty. We find climate change reshapes future European windstorm risk by altering damage locations and intensity.
This article is included in the Encyclopedia of Geosciences
Daniel Krieger, Sebastian Brune, Johanna Baehr, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 1539–1554, https://doi.org/10.5194/nhess-24-1539-2024, https://doi.org/10.5194/nhess-24-1539-2024, 2024
Short summary
Short summary
Previous studies found that climate models can predict storm activity in the German Bight well for averages of 5–10 years but struggle in predicting the next winter season. Here, we improve winter storm activity predictions by linking them to physical phenomena that occur before the winter. We guess the winter storm activity from these phenomena and discard model solutions that stray too far from the guess. The remaining solutions then show much higher prediction skill for storm activity.
This article is included in the Encyclopedia of Geosciences
João P. A. Martins, Sara Caetano, Carlos Pereira, Emanuel Dutra, and Rita M. Cardoso
Nat. Hazards Earth Syst. Sci., 24, 1501–1520, https://doi.org/10.5194/nhess-24-1501-2024, https://doi.org/10.5194/nhess-24-1501-2024, 2024
Short summary
Short summary
Over Europe, 2022 was truly exceptional in terms of extreme heat conditions, both in terms of temperature anomalies and their temporal and spatial extent. The satellite all-sky land surface temperature (LST) is used to provide a climatological context to extreme heat events. Where drought conditions prevail, LST anomalies are higher than 2 m air temperature anomalies. ERA5-Land does not represent this effect correctly due to a misrepresentation of vegetation anomalies.
This article is included in the Encyclopedia of Geosciences
Rudolf Brázdil, Kateřina Chromá, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 1437–1457, https://doi.org/10.5194/nhess-24-1437-2024, https://doi.org/10.5194/nhess-24-1437-2024, 2024
Short summary
Short summary
The official mortality data in the Czech Republic in 1919–2022 are used to show long-term fluctuations in the number of fatalities caused by excessive natural cold and heat, lightning, natural disasters, and falls on ice/snow, as well as the sex and age of the deceased, based on certain meteorological, historical, and socioeconomic factors that strongly influence changes in the number and structure of such fatalities. Knowledge obtained is usable in risk management for the preservation of lives.
This article is included in the Encyclopedia of Geosciences
Ben Maybee, Cathryn E. Birch, Steven J. Böing, Thomas Willis, Linda Speight, Aurore N. Porson, Charlie Pilling, Kay L. Shelton, and Mark A. Trigg
Nat. Hazards Earth Syst. Sci., 24, 1415–1436, https://doi.org/10.5194/nhess-24-1415-2024, https://doi.org/10.5194/nhess-24-1415-2024, 2024
Short summary
Short summary
This paper presents the development and verification of FOREWARNS, a novel method for regional-scale forecasting of surface water flooding. We detail outcomes from a workshop held with UK forecast users, who indicated they valued the forecasts and would use them to complement national guidance. We use results of objective forecast tests against flood observations over northern England to show that this confidence is justified and that FOREWARNS meets the needs of UK flood responders.
This article is included in the Encyclopedia of Geosciences
Ashbin Jaison, Asgeir Sorteberg, Clio Michel, and Øyvind Breivik
Nat. Hazards Earth Syst. Sci., 24, 1341–1355, https://doi.org/10.5194/nhess-24-1341-2024, https://doi.org/10.5194/nhess-24-1341-2024, 2024
Short summary
Short summary
The present study uses daily insurance losses and wind speeds to fit storm damage functions at the municipality level of Norway. The results show that the damage functions accurately estimate losses associated with extreme damaging events and can reconstruct their spatial patterns. However, there is no single damage function that performs better than another. A newly devised damage–no-damage classifier shows some skill in predicting extreme damaging events.
This article is included in the Encyclopedia of Geosciences
Madlen Peter, Henning W. Rust, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 24, 1261–1285, https://doi.org/10.5194/nhess-24-1261-2024, https://doi.org/10.5194/nhess-24-1261-2024, 2024
Short summary
Short summary
The paper introduces a statistical modeling approach describing daily extreme precipitation in Germany more accurately by including changes within the year and between the years simultaneously. The changing seasonality over years is regionally divergent and mainly weak. However, some regions stand out with a more pronounced linear rise of summer intensities, indicating a possible climate change signal. Improved modeling of extreme precipitation is beneficial for risk assessment and adaptation.
This article is included in the Encyclopedia of Geosciences
Andrew Brown, Andrew Dowdy, and Todd P. Lane
EGUsphere, https://doi.org/10.5194/egusphere-2024-322, https://doi.org/10.5194/egusphere-2024-322, 2024
Short summary
Short summary
A computer model that simulates the climate of south-eastern Australia is shown here to represent extreme wind events associated with convective storms. This is useful as it allows us to investigate possible future changes in the occurrences of these events, and we find in the year 2050 that our model simulates a decrease in the number of occurrences. However, the model also simulates too many events in the historical climate compared with observations, so these future changes are uncertain.
This article is included in the Encyclopedia of Geosciences
Faye Hulton and David M. Schultz
Nat. Hazards Earth Syst. Sci., 24, 1079–1098, https://doi.org/10.5194/nhess-24-1079-2024, https://doi.org/10.5194/nhess-24-1079-2024, 2024
Short summary
Short summary
Large hail devastates crops and property and can injure and kill people and livestock. Hail reports are collected by individual countries, so understanding where and when large hail occurs across Europe is an incomplete undertaking. We use the European Severe Weather Database to evaluate the quality of reports by year and by country since 2000. Despite its short record, the dataset appears to represent aspects of European large-hail climatology reliably.
This article is included in the Encyclopedia of Geosciences
Patrick Olschewski, Mame Diarra Bousso Dieng, Hassane Moutahir, Brian Böker, Edwin Haas, Harald Kunstmann, and Patrick Laux
Nat. Hazards Earth Syst. Sci., 24, 1099–1134, https://doi.org/10.5194/nhess-24-1099-2024, https://doi.org/10.5194/nhess-24-1099-2024, 2024
Short summary
Short summary
We applied a multivariate and dependency-preserving bias correction method to climate model output for the Greater Mediterranean Region and investigated potential changes in false-spring events (FSEs) and heat–drought compound events (HDCEs). Results project an increase in the frequency of FSEs in middle and late spring as well as increases in frequency, intensity, and duration for HDCEs. This will potentially aggravate the risk of crop loss and failure and negatively impact food security.
This article is included in the Encyclopedia of Geosciences
Xiaowei Zhao, Tianzeng Yang, Hongbo Zhang, Tian Lan, Chaowei Xue, Tongfang Li, Zhaoxia Ye, Zhifang Yang, and Yurou Zhang
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-45, https://doi.org/10.5194/nhess-2024-45, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
To effectively track and identify droughts, we developed a novel integrated drought index that combines the effects of precipitation, temperature, and soil moisture on drought. After comparison and verification, the integrated drought index shows superior performance to a single meteorological drought index or agricultural drought index in drought identification.
Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 24, 907–927, https://doi.org/10.5194/nhess-24-907-2024, https://doi.org/10.5194/nhess-24-907-2024, 2024
Short summary
Short summary
Improvements in numerical weather prediction models make it possible to warn of hazardous weather situations. The incorporation of new observations from personal weather stations into the French limited-area model is evaluated. It leads to a significant improvement in the modelling of the surface pressure field up to 9 h ahead. Their incorporation improves the location and intensity of the heavy precipitation event that occurred in the South of France in September 2021.
This article is included in the Encyclopedia of Geosciences
Timo Schmid, Raphael Portmann, Leonie Villiger, Katharina Schröer, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 847–872, https://doi.org/10.5194/nhess-24-847-2024, https://doi.org/10.5194/nhess-24-847-2024, 2024
Short summary
Short summary
Hailstorms cause severe damage to buildings and cars, which motivates a detailed risk assessment. Here, we present a new open-source hail damage model based on radar data in Switzerland. The model successfully estimates the correct order of magnitude of car and building damages for most large hail events over 20 years. However, large uncertainty remains in the geographical distribution of modelled damages, which can be improved for individual events by using crowdsourced hail reports.
This article is included in the Encyclopedia of Geosciences
Colin Raymond, Anamika Shreevastava, Emily Slinskey, and Duane Waliser
Nat. Hazards Earth Syst. Sci., 24, 791–801, https://doi.org/10.5194/nhess-24-791-2024, https://doi.org/10.5194/nhess-24-791-2024, 2024
Short summary
Short summary
How can we systematically understand what causes high levels of atmospheric humidity and thus heat stress? Here we argue that atmospheric rivers can be a useful tool, based on our finding that in several US regions, atmospheric rivers and humid heat occur close together in space and time. Most typically, an atmospheric river transports moisture which heightens heat stress, with precipitation following a day later. These effects tend to be larger for stronger and more extensive systems.
This article is included in the Encyclopedia of Geosciences
Julia Moemken, Inovasita Alifdini, Alexandre M. Ramos, Alexandros Georgiadis, Aidan Brocklehurst, Lukas Braun, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-16, https://doi.org/10.5194/nhess-2024-16, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
European windstorms regularly cause damage to natural and human-made environments, leading to high socio-economic losses. For the first time, we compare estimates of these losses using a meteorological Loss Index (LI) and the insurance loss (catastrophe) model of Aon Impact Forecasting. We find that LI underestimates high impact windstorms compared to the insurance model. Nonetheless, due to its simplicity, LI is an effective index, suitable for estimating impacts and ranking storm events.
This article is included in the Encyclopedia of Geosciences
Joseph Smith, Cathryn Birch, John Marsham, Simon Peatman, Massimo Bollasina, and George Pankiewicz
Nat. Hazards Earth Syst. Sci., 24, 567–582, https://doi.org/10.5194/nhess-24-567-2024, https://doi.org/10.5194/nhess-24-567-2024, 2024
Short summary
Short summary
Nowcasting uses observations to make predictions of the atmosphere on short timescales and is particularly applicable to the Maritime Continent, where storms rapidly develop and cause natural disasters. This paper evaluates probabilistic and deterministic satellite nowcasting algorithms over the Maritime Continent. We show that the probabilistic approach is most skilful at small scales (~ 60 km), whereas the deterministic approach is most skilful at larger scales (~ 200 km).
This article is included in the Encyclopedia of Geosciences
Julia Miller, Andrea Böhnisch, Ralf Ludwig, and Manuela I. Brunner
Nat. Hazards Earth Syst. Sci., 24, 411–428, https://doi.org/10.5194/nhess-24-411-2024, https://doi.org/10.5194/nhess-24-411-2024, 2024
Short summary
Short summary
We assess the impacts of climate change on fire danger for 1980–2099 in different landscapes of central Europe, using the Canadian Forest Fire Weather Index (FWI) as a fire danger indicator. We find that today's 100-year FWI event will occur every 30 years by 2050 and every 10 years by 2099. High fire danger (FWI > 21.3) becomes the mean condition by 2099 under an RCP8.5 scenario. This study highlights the potential for severe fire events in central Europe from a meteorological perspective.
This article is included in the Encyclopedia of Geosciences
Clemens Schwingshackl, Anne Sophie Daloz, Carley Iles, Kristin Aunan, and Jana Sillmann
Nat. Hazards Earth Syst. Sci., 24, 331–354, https://doi.org/10.5194/nhess-24-331-2024, https://doi.org/10.5194/nhess-24-331-2024, 2024
Short summary
Short summary
Ambient heat in European cities will substantially increase under global warming, as projected by three heat metrics calculated from high-resolution climate model simulations. While the heat metrics consistently project high levels of ambient heat for several cities, in other cities the projected heat levels vary considerably across the three heat metrics. Using complementary heat metrics for projections of ambient heat is thus important for assessments of future risks from heat stress.
This article is included in the Encyclopedia of Geosciences
Dragan Petrovic, Benjamin Fersch, and Harald Kunstmann
Nat. Hazards Earth Syst. Sci., 24, 265–289, https://doi.org/10.5194/nhess-24-265-2024, https://doi.org/10.5194/nhess-24-265-2024, 2024
Short summary
Short summary
The influence of model resolution and settings on the reproduction of heat waves in Germany between 1980–2009 is analyzed. Outputs from a high-resolution model with settings tailored to the target region are compared to those from coarser-resolution models with more general settings. Neither the increased resolution nor the tailored model settings are found to add significant value to the heat wave simulation. The models exhibit a large spread, indicating that the choice of model can be crucial.
This article is included in the Encyclopedia of Geosciences
Josep Bonsoms, Juan I. López-Moreno, Esteban Alonso-González, César Deschamps-Berger, and Marc Oliva
Nat. Hazards Earth Syst. Sci., 24, 245–264, https://doi.org/10.5194/nhess-24-245-2024, https://doi.org/10.5194/nhess-24-245-2024, 2024
Short summary
Short summary
Climate warming is changing mountain snowpack patterns, leading in some cases to rain-on-snow (ROS) events. Here we analyzed near-present ROS and its sensitivity to climate warming across the Pyrenees. ROS increases during the coldest months of the year but decreases in the warmest months and areas under severe warming due to snow cover depletion. Faster snow ablation is anticipated in the coldest and northern slopes of the range. Relevant implications in mountain ecosystem are anticipated.
This article is included in the Encyclopedia of Geosciences
Tiberiu-Eugen Antofie, Stefano Luoni, Alois Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-220, https://doi.org/10.5194/nhess-2023-220, 2024
Revised manuscript under review for NHESS
Short summary
Short summary
This is the first study that uses spatial patterns (clusters/hot-spots) and meta-analysis in order to identify the regions at European level at risk to multi-hazards. The findings point out the socio-economic dimension as determinant factor for the risk potential to multi-hazard. The outcome provides valuable input for the Disaster Risk Management policy support and will assist national authorities on the implementation of a multi-hazard approach in the National Risk Assessments preparation.
This article is included in the Encyclopedia of Geosciences
Baruch Ziv, Uri Dayan, Lidiya Shendrik, and Elyakom Vadislavsky
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-215, https://doi.org/10.5194/nhess-2023-215, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
'Train effect' is related to convective cells that pass over the same place. Trains produce heavy rainfall, sometimes floods, and reported in N. America during spring and summer. In Israel, 17 trains were identified by radar images, associated with Cyprus Lows, sharing the following features: Found at the cold sector south of the low center, at the left flank of a maximum wind belt; they cross the Israeli coast, with a mean length of 45 km, last 1–3 hours and yield 35 mm rainfall, up to 60 mm.
This article is included in the Encyclopedia of Geosciences
Hofit Shachaf, Colin Price, Dorita Rostkier-Edelstein, and Cliff Mass
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-211, https://doi.org/10.5194/nhess-2023-211, 2024
Revised manuscript accepted for NHESS
Short summary
Short summary
We have used the temperature and relative humidity sensors in smartphones to estimate the Vapor Pressure Deficit (VPD), and important atmospheric parameter closely linked to fuel moisture and wildfire risk. Our analysis for two severe wildfire case studies in Israel and Portugal show the potential for using smartphone data to both compliment the regular weather station network, while also providing high spatial resolution of the VPD index.
This article is included in the Encyclopedia of Geosciences
Matthew D. K. Priestley, David B. Stephenson, Adam A. Scaife, Daniel Bannister, Christopher J. T. Allen, and David Wilkie
Nat. Hazards Earth Syst. Sci., 23, 3845–3861, https://doi.org/10.5194/nhess-23-3845-2023, https://doi.org/10.5194/nhess-23-3845-2023, 2023
Short summary
Short summary
This research presents a model for estimating extreme gusts associated with European windstorms. Using observed storm footprints we are able to calculate the return level of events at the 200-year return period. The largest gusts are found across NW Europe, and these are larger when the North Atlantic Oscillation is positive. Using theoretical future climate states we find that return levels are likely to increase across NW Europe to levels that are unprecedented compared to historical storms.
This article is included in the Encyclopedia of Geosciences
Tadeusz Chmielewski and Piotr A. Bońkowski
Nat. Hazards Earth Syst. Sci., 23, 3839–3844, https://doi.org/10.5194/nhess-23-3839-2023, https://doi.org/10.5194/nhess-23-3839-2023, 2023
Short summary
Short summary
The paper deals with wind speeds of extreme wind events in Poland and the descriptions of their effects. Two recent estimations developed by the Institute of Meteorology and Water Management in Warsaw and by Halina Lorenc are presented and briefly described. The 37 annual maximum gusts of wind speeds measured between 1971 and 2007 are analysed. Based on the measured and estimated wind speeds, the authors suggest new estimations for extreme winds that may occur in Poland.
This article is included in the Encyclopedia of Geosciences
Jingyu Wang, Jiwen Fan, and Zhe Feng
Nat. Hazards Earth Syst. Sci., 23, 3823–3838, https://doi.org/10.5194/nhess-23-3823-2023, https://doi.org/10.5194/nhess-23-3823-2023, 2023
Short summary
Short summary
Hail and tornadoes are devastating hazards responsible for significant property damage and economic losses in the United States. Quantifying the connection between hazard events and mesoscale convective systems (MCSs) is of great significance for improving predictability, as well as for better understanding the influence of the climate-scale perturbations. A 14-year statistical dataset of MCS-related hazard production is presented.
This article is included in the Encyclopedia of Geosciences
Ruijiao Jiang, Guoping Zhang, Shudong Wang, Bing Xue, Zhengshuai Xie, Tingzhao Yu, Kuoyin Wang, Jin Ding, and Xiaoxiang Zhu
Nat. Hazards Earth Syst. Sci., 23, 3747–3759, https://doi.org/10.5194/nhess-23-3747-2023, https://doi.org/10.5194/nhess-23-3747-2023, 2023
Short summary
Short summary
Lightning activity in China is analyzed. Low latitudes, undulating terrain, seaside, and humid surfaces are beneficial for lightning occurrence. Summer of the year or afternoon of the day is the high period. Large cloud-to-ground lightning frequency always corresponds to a small ratio and weak intensity of positive cloud-to-ground lightning on either a temporal or spatial scale. Interestingly, the discharge intensity difference between the two types of lightning shrinks on the Tibetan Plateau.
This article is included in the Encyclopedia of Geosciences
George Pacey, Stephan Pfahl, Lisa Schielicke, and Kathrin Wapler
Nat. Hazards Earth Syst. Sci., 23, 3703–3721, https://doi.org/10.5194/nhess-23-3703-2023, https://doi.org/10.5194/nhess-23-3703-2023, 2023
Short summary
Short summary
Cold fronts are often associated with areas of intense precipitation (cells) and sometimes with hazards such as flooding, hail and lightning. We find that cold-frontal cell days are associated with higher cell frequency and cells are typically more intense. We also show both spatially and temporally where cells are most frequent depending on their cell-front distance. These results are an important step towards a deeper understanding of cold-frontal storm climatology and improved forecasting.
This article is included in the Encyclopedia of Geosciences
Francesco Battaglioli, Pieter Groenemeijer, Ivan Tsonevsky, and Tomàš Púčik
Nat. Hazards Earth Syst. Sci., 23, 3651–3669, https://doi.org/10.5194/nhess-23-3651-2023, https://doi.org/10.5194/nhess-23-3651-2023, 2023
Short summary
Short summary
Probabilistic models for lightning and large hail were developed across Europe using lightning observations and hail reports. These models accurately predict the occurrence of lightning and large hail several days in advance. In addition, the hail model was shown to perform significantly better than the state-of-the-art forecasting methods. These results suggest that the models developed in this study may help improve forecasting of convective hazards and eventually limit the associated risks.
This article is included in the Encyclopedia of Geosciences
Rosa Claudia Torcasio, Alessandra Mascitelli, Eugenio Realini, Stefano Barindelli, Giulio Tagliaferro, Silvia Puca, Stefano Dietrich, and Stefano Federico
Nat. Hazards Earth Syst. Sci., 23, 3319–3336, https://doi.org/10.5194/nhess-23-3319-2023, https://doi.org/10.5194/nhess-23-3319-2023, 2023
Short summary
Short summary
This work shows how local observations can improve precipitation forecasting for severe weather events. The improvement lasts for at least 6 h of forecast.
This article is included in the Encyclopedia of Geosciences
Gerd Bürger and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 3065–3077, https://doi.org/10.5194/nhess-23-3065-2023, https://doi.org/10.5194/nhess-23-3065-2023, 2023
Short summary
Short summary
Our subject is a new catalogue of radar-based heavy rainfall events (CatRaRE) over Germany and how it relates to the concurrent atmospheric circulation. We classify reanalyzed daily atmospheric fields of convective indices according to CatRaRE, using conventional statistical and more recent machine learning algorithms, and apply them to present and future atmospheres. Increasing trends are projected for CatRaRE-type probabilities, from reanalyzed as well as from simulated atmospheric fields.
This article is included in the Encyclopedia of Geosciences
Marleen R. Lam, Alessia Matanó, Anne F. Van Loon, Rhoda A. Odongo, Aklilu D. Teklesadik, Charles N. Wamucii, Marc J. C. van den Homberg, Shamton Waruru, and Adriaan J. Teuling
Nat. Hazards Earth Syst. Sci., 23, 2915–2936, https://doi.org/10.5194/nhess-23-2915-2023, https://doi.org/10.5194/nhess-23-2915-2023, 2023
Short summary
Short summary
There is still no full understanding of the relation between drought impacts and drought indices in the Horn of Africa where water scarcity and arid regions are also present. This study assesses their relation in Kenya. A random forest model reveals that each region, aggregated by aridity, has its own set of predictors for every impact category. Water scarcity was not found to be related to aridity. Understanding these relations contributes to the development of drought early warning systems.
This article is included in the Encyclopedia of Geosciences
Marie Hundhausen, Hendrik Feldmann, Natalie Laube, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci., 23, 2873–2893, https://doi.org/10.5194/nhess-23-2873-2023, https://doi.org/10.5194/nhess-23-2873-2023, 2023
Short summary
Short summary
Using a convection-permitting regional climate ensemble, the magnitude of heat waves (HWs) over Germany is projected to increase by 26 % (100 %) in a 2 °C (3 °C) warmer world. The increase is strongest in late summer, relatively homogeneous in space, and accompanied by increasing variance in HW length. Tailored parameters to climate adaptation to heat revealed dependency on major landscapes, and a nonlinear, exponential increase for parameters characterizing strong heat stress is expected.
This article is included in the Encyclopedia of Geosciences
Pauline Rivoire, Olivia Martius, Philippe Naveau, and Alexandre Tuel
Nat. Hazards Earth Syst. Sci., 23, 2857–2871, https://doi.org/10.5194/nhess-23-2857-2023, https://doi.org/10.5194/nhess-23-2857-2023, 2023
Short summary
Short summary
Heavy precipitation can lead to floods and landslides, resulting in widespread damage and significant casualties. Some of its impacts can be mitigated if reliable forecasts and warnings are available. In this article, we assess the capacity of the precipitation forecast provided by ECMWF to predict heavy precipitation events on a subseasonal-to-seasonal (S2S) timescale over Europe. We find that the forecast skill of such events is generally higher in winter than in summer.
This article is included in the Encyclopedia of Geosciences
Stephen Cusack
Nat. Hazards Earth Syst. Sci., 23, 2841–2856, https://doi.org/10.5194/nhess-23-2841-2023, https://doi.org/10.5194/nhess-23-2841-2023, 2023
Short summary
Short summary
The link from European windstorm research findings to insurance applications is strengthened by a new storm loss history spanning 1950 to 2022. It is based on ERA5 winds, together with long-term trends from observed gusts for improved validation. Correlations between losses and climate indices are around 0.4 for interannual variations, rising to 0.7 for decadal variations. A significant divergence between standard climate indices and storm losses over the past 20 years needs further research.
This article is included in the Encyclopedia of Geosciences
Cited articles
Adger, W. N.: Social and ecological resilience: are they related?, Prog.
Human Geogr., 24, 347–364, https://doi.org/10.1191/030913200701540465, 2000.
Ahlborg, H., Ruiz-Mercado, I., Molander, S., and Masera, O.: Bringing
Technology into Social-Ecological Systems Research-Motivations for a
Socio-Technical-Ecological Systems Approach, Sustainability, 11, 2009,
https://doi.org/10.3390/su11072009, 2019.
Aitsi-Selmi, A., Egawa, S., Sasaki, H., Wannous, C., and Murray, V.: The
Sendai framework for disaster risk reduction: Renewing the global commitment
to people's resilience, health, and well-being, Int. J. Disast. Risk Sci., 6, 164–176, https://doi.org/10.1007/s13753-015-0050-9, 2015.
Anderies, J. M., Rodriguez, A. A., Janssen, M. A., and Cifdaloz, O.:
Panaceas, uncertainty, and the robust control framework in sustainability
science, P. Natl. Acad. Sci. USA, 104, 15194–15199, https://doi.org/10.1073/pnas.0702655104, 2007.
Anderies, J., Folke, C., Walker, B., and Ostrom, E.: Aligning key concepts
for global change policy: robustness, resilience, and sustainability, Ecol. Soc., 18, 2, 2013.
Argyroudis, S., Hofer, L., Zanini, M. A., and Mitoulis, S. A.: Resilience of
critical infrastructure for multiple hazards: Case study on a highway
bridge, in: ICONHIC 2019 2nd International Conference on Natural Hazards and
Infrastructure, 23–26 June 2019, Chania, 23–26, 2019.
Augustijn, D. C. M., Schielen, R., and Hulscher, S. J. M. H.: RiverCare:
towards self-sustaining multifunctional rivers, in: EGU General Assembly
Conference Abstracts, Delft, the Netherlands, 13–14, 2014.
Augustijn, D. C. M., Hulscher, S. J. M. H., and Schielen, R. M. J.:
RiverCare: Researching measures to prepare multi-functional rivers for the
next century, in: 5th IAHR Europe Congress: New Challenges in Hydraulic
Research and Engineering Research Publishing, 12–14 June 2018, Trento, Italy, 473–474, 2018.
Bakhshipour, A. E., Dittmer, U., Haghighi, A., and Nowak, W.: Hybrid green-blue-gray decentralized urban drainage systems design, a simulation-optimization framework, J. Environ. Manage., 249, 109364, https://doi.org/10.1016/j.jenvman.2019.109364, 2019.
Batty, M.: The size, scale, and shape of cities, Science, 319, 769–771, https://doi.org/10.1126/science.1151419, 2008.
Beery, T.: Engaging the Private Homeowner: Linking Climate Change and Green
Storm Water Infrastructure, Sustainability, 10, 4791,
https://doi.org/10.3390/su10124791, 2018.
Bene, C. and Doyen, L.: From resistance to transformation: a generic metric of resilience through viability, Earth's Future, 6, 979–996,
https://doi.org/10.1002/2017EF000660, 2018.
Berkes, F., Colding, J., and Folke, C.: Navigating Social-Ecological
Systems: Building Resilience for Complexity and Change, Cambridge University Press, Cambridge, UK, 393 pp., 2003.
Biggs, R., Schlüter, M., Biggs, D., Bohensky, E. L., BurnSilver, S.,
Cundill, G., Dakos, V., Daw, T. M., Evans, L. S., Kotschy, K., and Leitch,
A. M.: Toward principles for enhancing the resilience of ecosystem services,
Annu. Rev. Environ. Resour., 37, 421–448, https://doi.org/10.1146/annurev-environ-051211-123836, 2012.
Birkmann, J., Wenzel, F., Greiving, S., Garschagen, M., Vallee, D., Nowak,
W., Welle, T., Fina, S., Goris, A., Rilling, B., and Fiedrich, F.: Extreme
Events, Critical Infrastructures, Human Vulnerability and Strategic Planning: Emerging Research Issues, J. Ext. Event., 3, 1–25, https://doi.org/10.1142/S2345737616500172, 2017.
Blake, D. M., Stevenson, J., Wotherspoon, L., Ivory, V., and Trotter, M.:
The role of data and information exchanges in transport system disaster
recovery: A New Zealand case study, Int. J. Disast. Risk Reduct., 39, 101124, https://doi.org/10.1016/j.ijdrr.2019.101124, 2019.
Bollinger, L. A., Bogmans, C. W. J., Chappin, E. J. L., Dijkema, G. P. J.,
Huibregtse, J. N., Maas, N., Schenk, T., Snelder, M., van Thienen, P., de Wit, S., and Wols, B.: Climate adaptation of interconnected infrastructures: a framework for supporting governance, Reg. Environ. Change, 14, 919–931, https://doi.org/10.1007/s10113-013-0428-4, 2013.
Bolton, R. and Foxon, T. J.: Infrastructure transformation as a socio-technical process-Implications for the governance of energy
distribution networks in the UK, Technol. Forecast. Social Change, 90, 538–550, https://doi.org/10.1016/j.techfore.2014.02.017, 2015.
Borsje, B. W., van Wesenbeeck, B. K., Dekker, F., Paalvast, P., Bouma, T.
J., van Katwijk, M. M., and de Vries, M. B.: How ecological engineering can
serve in coastal protection, Ecol. Eng., 37, 113–122,
https://doi.org/10.1016/j.ecoleng.2010.11.027, 2011.
Borsje, B. W., de Vries, S., Janssen, S. K., Luijendijk, A. P., and Vuik,
V.: Building with nature as coastal protection strategy in The Netherlands,
in: Living Shorelines, CRC Press, Florida, USA, 137–156, 2017.
Borsje, B. W., Willemsen, P., and Hulscher, S. J. M. H.: Vegetated
foreshores as coastal protection strategy: coping with uncertainties and
implementation, Coast. Eng. Proceed., 1, 36, https://doi.org/10.9753/icce.v36.risk.7, 2018.
Bouchon, S.: The vulnerability of interdependent critical infrastructures
systems: Epistemological and conceptual state of the art, Institute for the
Protection and Security of the Citizen, Joint Research Centre, European
Commission, Italy, 99 pp., 2006.
Browder, G., Ozment, S., Rehberger Bescos, I., Gartner, T., and Lange, G. M.: Integrating Green and Gray: Creating Next Generation Infrastructure, World Bank and World Resources Institute, Washington, D.C., available at:
https://openknowledge.worldbank.org/handle/10986/31430 (last access: 27 June 2020), 2019.
Brown, A., Dayal, A., and Rumbaitis Del Rio, C.: From practice to theory:
emerging lessons from Asia for building urban climate change resilience,
Environ. Urbaniz., 24, 531–556, https://doi.org/10.1177/0956247812456490, 2012.
Brown, J. M., Morrissey, K., Knight, P., Prime, T. D., Almeida, L. P.,
Masselink, G., Bird, C. O., Dodds, D., and Plater, A. J.: A coastal vulnerability assessment for planning climate resilient infrastructure, Ocean Coast. Manage., 163, 101–112, https://doi.org/10.1016/j.ocecoaman.2018.06.007, 2018.
Bujones, A. K., Jaskiewicz, K., Linakis, L., and McGirr, M.: A framework for
analyzing resilience in fragile and conflict-affected situations, Columbia
University SIPA, New York, USA, 2013.
Carreras, B. A., Newman, D. E., and Dobson, I.: Determining the vulnerabilities of the power transmission system, in: IEEE 45th Hawaii International Conference on System Sciences, 4–7 January 2012, Maui, HI, USA, 2044–2053, https://doi.org/10.1109/HICSS.2012.208, 2012.
Chaffin, B. C., Garmestani, A. S., Gunderson, L. H., Benson, M. H., Angeler,
D. G., Arnold, C. A., Cosens, B., Craig, R. K., Ruhl, J. B., and Allen, C.
R.: Transformative environmental governance, Annu. Rev. Environ. Resour., 41, 399–423, https://doi.org/10.1146/annurev-environ-110615-085817, 2016.
Chelleri, L.: From the Resilient City to Urban Resilience, a review essay on
understanding and integrating the resilience perspective for urban systems,
Documents d'anàlisi geogràfica, 58, 287–306, https://doi.org/10.5565/rev/dag.175, 2012.
Cimellaro, G. P., Renschler, C., Reinhorn, A. M., and Arendt, L.: PEOPLES: a
framework for evaluating resilience, J. Struct. Eng., 142, 04016063, https://doi.org/10.1061/(ASCE)ST.1943-541X.0001514, 2016.
Clark, S. S., Seager, T. P., and Chester, M. V.: A capabilities approach to
the prioritization of critical infrastructure, Environ. Syst. Decis., 38, 339–352, https://doi.org/10.1007/s10669-018-9691-8, 2018.
Coaffee, J.: Towards next-generation urban resilience in planning practice:
From securitization to integrated place making, Plan. Pract. Res., 28, 323–339, https://doi.org/10.1080/02697459.2013.787693, 2013.
Connelly, E. B., Allen, C. R., Hatfield, K., Palma-Oliveira, J. M., Woods,
D. D., and Linkov, I.: Features of resilience, Environ. Syst. Decis., 37, 46–50, https://doi.org/10.1007/s10669-017-9634-9, 2017.
Cote, M. and Nightingale, A. J.: Resilience thinking meets social theory:
Situating social change in socio-ecological systems (SES) research, Prog.
Human Geogr., 1, 475–489, https://doi.org/10.1177/0309132511425708, 2011.
Covello, V. T. and Merkhoher, M. W.: Risk Assessment Methods, Approaches
for Assessing Health and Environmental Risks, Springer Science and Business
Media, New York, USA, 2013.
Dai, L., Worner, R., and van Rijswick, H. F.: Rainproof cities in the
Netherlands: approaches in Dutch water governance to climate-adaptive urban
planning, Int. J. Water Resour. Dev., 34, 652–674, https://doi.org/10.1080/07900627.2017.1372273, 2018a.
Dai, L., van Rijswick, H. F., Driessen, P. P., and Keessen, A. M.: Governance of the Sponge City Programme in China with Wuhan as a case study, Int. J. Water Resour. Dev., 34, 578–596, https://doi.org/10.1080/07900627.2017.1373637, 2018b.
Darwin: Expect the unexpected and know how to respond, available at:
https://h2020 darwin.eu/, last access: 17 September 2019.
Davoudi, S., Shaw, K., Haider, L. J., Quinlan, A. E., Peterson, G. D.,
Wilkinson, C., Funfgeld, H., McEvoy, D., Porter, L., and Davoudi, S.:
Resilience: a bridging concept or a dead end? “Reframing” resilience:
challenges for planning theory and practice interacting traps: resilience
assessment of a pasture management system in Northern Afghanistan urban
resilience: what does it mean in planning practice? Resilience as a useful
concept for climate change adaptation? The politics of resilience for
planning: a cautionary note: edited by: Davoudi, S. and Porter, L.,
Plan. Theory Pract., 13, 299–333, https://doi.org/10.1080/14649357.2012.677124, 2012.
Dekker, S., Hollnagel, E., Woods, D., and Cook, R.: Resilience Engineering:
New directions for measuring and maintaining safety in complex systems, Lund
University School of Aviation, Lund, 1–6, 2008.
De Koning, K., Filatova, T., Need, A., and Bin, O.: Avoiding or mitigating
flooding: Bottom-up drivers of urban resilience to climate change in the
USA, Global Environ. Change, 59, 101981, https://doi.org/10.1016/j.gloenvcha.2019.101981, 2019.
Demuzere, M., Orru, K., Heidrich, O., Olazabal, E., Geneletti, D., Orru, H.,
Bhave, A. G., Mittal, N., Feliu, E., and Faehnle, M.: Mitigating and
adapting to climate change: Multi-functional and multi-scale assessment of
green urban infrastructure, J. Environ. Manage., 146, 107–115, https://doi.org/10.1016/j.jenvman.2014.07.025, 2014.
De Regt, A., Siegel, A. W., and Schraagen, J. M.: Toward quantifying metrics
for rail-system resilience: identification and analysis of performance weak
resilience signals, Cognit. Technol. Work, 18, 319–331,
https://doi.org/10.1007/s10111-015-0356-9, 2016.
De Schipper, M. A., de Vries, S., Ruessink, G., de Zeeuw, R. C., Rutten, J.,
van Gelder-Maas, C., and Stive, M. J.: Initial spreading of a mega feeder
nourishment: Observations of the Sand Engine pilot project, Coast. Eng., 111, 23–38, https://doi.org/10.1016/j.coastaleng.2015.10.011, 2016.
De Vriend, H. J. and Van Koningsveld, M.: Building with Nature: Thinking,
Acting and Interacting Differently, Ecoshape, Dordrecht, the Netherlands, 2012.
Do, M. and Jung, H.: Enhancing Road Network Resilience by Considering the
Performance Loss and Asset Value, Sustainability, 10, 4188, https://doi.org/10.3390/su10114188, 2018.
Donovan, B. and Work, D. B.: Empirically quantifying city-scale transportation system resilience to extreme events, Transport. Res. Pt. C, 79, 333–346, https://doi.org/10.1016/j.trc.2017.03.002, 2017.
EC: European Commission: Communication from the Commission on Critical
Infrastructure Protection in the fight against terrorism, 702 Final, COM,
Brussels, Belgium, 2004.
EC: European Commission: Towards an EU Research and Innovation policy
agenda for nature-based solutions and re-naturing cities, final report of
the Horizon 2020, 16 June 2020, Brussels, Belgium, 2015.
EC: Biodiversity Information System for Europe, Green infrastructure, available at:
https://biodiversity.europa.eu/topics/green-infrastructure/, last access: 12 September 2019.
Eidsvig, U. and Tagg, A.: SOTA of Modelling and Simulation Approaches, used
currently to assess CI vulnerability, INTACT Deliverable D 4.1, project
co-funded by the European Commission under the 7th Frame-work Programme, Wallingford, 2015.
Eisenberg, D. A., Park, J., and Seager, T. P.: Sociotechnical network
analysis for power grid resilience in South Korea, Complexity, 2017, 3597010,
https://doi.org/10.1155/2017/3597010, 2017.
Field, C. and Look, R.: A value-based approach to infrastructure resilience, Environ. Syst. Decis., 38, 292–305, https://doi.org/10.1007/s10669-018-9701-x, 2018.
Field, C. B., Barros, V., Stocker, T. F., Dahe, Q., Dokken, D. J., Ebi, K.
L., Mastrandrea, M. D., Mach, K. J., Plattner, G. K., Allen, S. K., and
Tignor, M.: Managing the Risks of Extreme Events and Disasters to Advance
Climate Change Adaptation: A Special Report of Working Groups I and II of
the Intergovernmental Panel on Climate Change, IPCC, Cambridge University
Press, Cambridge, UK, 2012.
Filatova, T., Mulder, J. P., and van der Veen, A.: Coastal risk management:
how to motivate individual economic decisions to lower flood risk, Ocean Coast. Manage., 54, 164–172, https://doi.org/10.1016/j.ocecoaman.2010.10.028, 2011.
Filiatrault, A., and Sullivan, T.: Performance-based seismic design of
nonstructural building components: The next frontier of earthquake engineering, Earthq. Eng. Eng. Vibrat., 13, 17–46, https://doi.org/10.1007/s11803-014-0238-9, 2014.
Fischer, J., Gardner, T. A., Bennett, E. M., Balvanera, P., Biggs, R.,
Carpenter, S., Daw, T., Folke, C., Hill, R., Hughes, T. P., and Luthe, T.:
Advancing sustainability through mainstreaming a social–ecological systems
perspective, Curr. Opin. Environ. Sustainabil., 14, 144–149,
https://doi.org/10.1016/j.cosust.2015.06.002, 2015.
Folke, C.: Resilience: The emergence of a perspective for social–ecological
systems analyses, Global Environ. Change, 16, 253–267,
https://doi.org/10.1016/j.gloenvcha.2006.04.002, 2006.
Frangopol, D. M. and Bocchini, P.: Bridge network performance, maintenance
and optimisation under uncertainty: accomplishments and challenges, Struct. Infrastruct. Eng., 8, 341–356, https://doi.org/10.1080/15732479.2011.563089, 2012.
Galderisi, A.: The resilient city metaphor to enhance cities' capabilities
to tackle complexities and uncertainties arising from current and future
climate scenarios, in: Smart, resilient and transition cities, Emerging approaches and tools for a climate-sensitive urban development, edited by: Galderisi, A. and Colucci, A., Elsevier, Amsterdam, 11–18, 2018.
Galiforni Silva, F., Wijnberg, K. M., de Groot, A. V., and Hulscher, S. J. M. H.: The effects of beach width variability on coastal dune development at
decadal scales, Geomorphology, 329, 58–69, https://doi.org/10.1016/j.geomorph.2018.12.012, 2019.
Ganjurjav, H., Zhang, Y., Gornish, E. S., Hu, G., Li, Y., Wan, Y., and Gao,
Q.: Differential resistance and resilience of functional groups to livestock
grazing maintain ecosystem stability in an alpine steppe on the Qinghai-Tibetan Plateau, J. Environ. Manage., 251, 109579,
https://doi.org/10.1016/j.jenvman.2019.109579, 2019.
Gardoni, P.: Routledge Handbook of Sustainable and Resilient Infrastructure,
Routledge, New York, 2018.
Gardoni, P. and Murphy, C.: Society-based design: promoting societal well-being by designing sustainable and resilient infrastructure,
Sustain. Resil. Infrastruct., 5, 4–19, https://doi.org/10.1080/23789689.2018.1448667, 2018.
Ghaffarian, S. and Kerle, N.: Towards post-disaster debris identification
for precise damage and recovery assessments from UAV and satellite images,
Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., XLII-2/W13, 297–302,
https://doi.org/10.5194/isprs-archives-XLII-2-W13-297-2019, 2019.
Ghaffarian, S., Kerle, N., Pasolli, E., and Jokar Arsanjani, J.: Post-disaster building database updating using automated deep learning: An
integration of pre-disaster OpenStreetMap and multi-temporal satellite data,
Remote Sens., 11, 2427, https://doi.org/10.3390/rs11202427, 2019.
Giovinazzi, S., Austin, A., Ruiter, R., Foster, C., Nayyerloo, M., Nair, N.
K., and Wotherspoon, L.: Resilience and fragility of the telecommunication
network to seismic events: Evidence after the kaikōura (New Zealand)
earthquake, Bull. New Zeal. Soc. Earthq. Eng., 50, 318–328, https://doi.org/10.5459/bnzsee.50.2.318-328, 2017.
Guidotti, R., Chmielewski, H., Unnikrishnan, V., Gardoni, P., McAllister,
T., and van de Lindt, J.: Modeling the resilience of critical infrastructure: The role of network dependencies, Sustain. Resil. Infrastruct., 1, 153–168,
https://doi.org/10.1080/23789689.2016.1254999, 2016.
Guidotti, R., Gardoni, P., and Chen, Y.: Network reliability analysis with
link and nodal weights and auxiliary nodes, Struct. Safe., 65, 12–26,
https://doi.org/10.1016/j.strusafe.2016.12.001, 2017.
Gunderson, L. H. and Holling, C. S.: Understanding Transformations in Human
and Natural Systems, Island Press, Washington, D.C., 2002.
Gunkel, M., Wissel, F., Blendin, J., Herrmann, D., Wichtlhuber, M., and
Hausheer, D.: Efficient partial recovery of flexible-rate transceivers with
sdn-based asymmetric multipath routing of ip traffic, in: Photonic Networks,
17th ITG-Symposium, Proceedings of VDE, 12–13 May 2016, Leipzig, Germany, 1–6, 2016.
Hale, A., and Heijer, T.: Defining resilience, in: Resilience engineering: concepts and precepts, edited by: Woods, D. D. and Hollnagel, E. Ashgate, Farnham, 35–40, 2006.
Hall, J. W., Tran, M., Hickford, A. J., and Nicholls, R. J.: The future of
national infrastructure: A system-of-systems approach, Cambridge University
Press, Cambridge, 2016.
Hallegatte, S., Rentschler, J., and Rozenberg, J.: Resilient Infrastructure:
A Lifeline for Sustainable Development, The World Bank, Washington, DC, https://doi.org/10.1596/978-1-4648-1430-3_ch1, 2019.
Henry, D. and Ramirez-Marquez, J. E.: Generic metrics and quantitative approaches for system resilience as a function of time, Reliabil. Eng. Syst. Safe., 99, 114–122, https://doi.org/10.1016/j.ress.2011.09.002, 2012.
Herslund, L., Backhaus, A., Fryd, O., Jorgensen, G., Jensen, M. B., Limbumba, T. M., Liu, L., Mguni, P., Mkupasi, M., Workalemahu, L., and Yeshitela, K.: Conditions and opportunities for green infrastructure–Aiming for green, water-resilient cities in Addis Ababa and Dar es Salaam, Landsc. Urban Plan., 180, 319–327, https://doi.org/10.1016/j.landurbplan.2016.10.008, 2018.
Hickford, A. J., Blainey, S. P., Hortelano, A. O., and Pant, R.: Resilience
engineering: theory and practice in interdependent infrastructure systems,
Environ. Syst. Decis., 38, 278–291, https://doi.org/10.1007/s10669-018-9707-4, 2018.
Hoekstra, A. Y., Bredenhoff-Bijlsma, R., and Krol, M. S.: The control versus
resilience rationale for managing systems under uncertainty, Environ. Res. Lett., 13, 103002, https://doi.org/10.1088/1748-9326/aadf95, 2018.
Holling, C. S.: Engineering resilience versus ecological resilience, in: Engineering within Ecological Constraints, edited by: Schulze, P., National Academy Press, Washington, D.C., 31–44, 1996.
Holling, C. S.: Understanding the complexity of economic, ecological, and
social systems, Ecosystems, 4, 390–405, https://doi.org/10.1007/s10021-001-0101-5, 2001.
Hollnagel, E., Woods, D. D., and Leveson, N.: Resilience engineering:
Concepts and precepts, Ashgate Publishing, Ltd, Hampshire, UK, 2006.
Hollnagel, E.: RAG-The resilience analysis grid, Resilience engineering in
practice: a guidebook, Ashgate Publishing Limited, Farnham, Surrey, 275–296,
2011.
Hollnagel, E.: Resilience engineering, available at:
http://erikhollnagel.com/ideas/resilience engineering.html/, last access: 7 September 2019.
Hosseini, S., Barker, K., and Ramirez-Marquez, J. E.: A review of definitions and measures of system resilience, Reliabil. Eng. Syst. Safe., 145, 47–61, https://doi.org/10.1016/j.ress.2015.08.006, 2016.
Hulscher, S. J. M. H., Schielen, R. M. J., Augustijn, D. C. M., Warmink, J.
J., Van der Voort, M. C., Middelkoop, H., Kleinhans, M. G., Leuven, R. S. E.
W., Lenders, H. J. R., Smits, A. J. M., and Fliervoet, J. M.: Rivercare:
Towards self-sustaining multifunctional rivers, in: Netherlands Centre for
River Studies Conference, Delft, 13–14, 2014.
Ibanez, E., Lavrenz, S., Gkritza, K., Mejía, D., Krishnan, V., McCalley, J., and Somani, A. K.: Resilience and robustness in long-term planning of the national energy and transportation system, Int. J. Crit. Infrastruct., 12, 82–103, https://doi.org/10.1504/IJCIS.2016.075869, 2016.
Kameshwar, S., Cox, D. T., Barbosa, A. R., Farokhnia, K., Park, H., Alam, M.
S., and van de Lindt, J. W.: Probabilistic decision-support framework for
community resilience: Incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network, Reliabil. Eng. Syst. Safe., 191, 106568, https://doi.org/10.1016/j.ress.2019.106568, 2019.
Karamouz, M., Rasoulnia, E., Olyaei, M. A., and Zahmatkesh, Z.: Prioritizing
investments in improving flood resilience and reliability of wastewater
treatment infrastructure, J. Infrastruct. Syst., 24, 04018021, https://doi.org/10.1061/(ASCE)IS.1943-555X.0000434, 2018.
Keijsers, J. G., Giardino, A., Poortinga, A., Mulder, J. P., Riksen, M. J.,
and Santinelli, G.: Adaptation strategies to maintain dunes as flexible
coastal flood defense in The Netherlands, Mitig. Adapt. Strat. Global Change, 20, 913–928, https://doi.org/10.1007/s11027-014-9579-y, 2015.
Kerle, N.: Satellite-based damage mapping following the 2006 Indonesia
earthquake – How accurate was it, Int. J. Appl. Earth Obs. Geoinf., 12, 466–476, https://doi.org/10.1016/j.jag.2010.07.004, 2010.
Kerle, N.: Disasters: risk assessment, management, and post – disaster
studies using remote sensing, in: Remote sensing of water resources,
disasters, and urban studies (Remote sensing handbook, 3), edited by: Thenkabail, P. S., CRC Press, Boca Raton, 455–481, 2015.
Kerle, N., Ghaffarian, S., Nawrotzki, R., Leppert, G., and Lech, M.: Evaluating resilience-centered development interventions with remote
sensing, Remote Sensing, 11, 2511, https://doi.org/10.3390/rs11212511, 2019a.
Kerle, N., Nex, F., Duarte, D., and Vetrivel, A.: UAV-based structural
damage mapping – Results from 6 years of research in two European projects,
Int. Arch. Photogram Remote Sens. Spatial Inf. Sci., XLII-3/W8, 187–194,
https://doi.org/10.5194/isprs-archives-XLII-3-W8-187-2019, 2019b.
Kiel, J., Petiet, P., Nieuwenhuis, A., Peters, T., and van Ruiten, K.: A
decision support system for the resilience of critical transport infrastructure to extreme weather events, Transport. Res. Proced., 14, 68–77, https://doi.org/10.1016/j.trpro.2016.05.042, 2016.
Kim, D. and Lim, U.: Urban resilience in climate change adaptation: A
conceptual framework, Sustainability, 8, 405, https://doi.org/10.3390/su8040405, 2016.
Klijn, F., Asselman, N., and Wagenaar, D.: Room for Rivers: Risk Reduction
by Enhancing the Flood Conveyance Capacity of the Netherlands' Large Rivers,
Geosciences, 8, 224, https://doi.org/10.3390/geosciences8060224, 2018.
Koks, E. E., Rozenberg, J., Zorn, C., Tariverdi, M., Vousdoukas, M., Fraser,
S. A., Hall, J. W., and Hallegatte, S.: A global multi-hazard risk analysis
of road and railway infrastructure assets, Nature communications, 10, 2677, https://doi.org/10.1038/s41467-019-10442-3, 2019.
Kothuis, B. and Kok, M.: Integral Design of Multifunctional Flood Defenses:
Multidisciplinary Approaches and Examples, Delft University Publishers, Delft, ISBN 978-94-6186-808-4, 2017.
Kumar, R. and Stoelinga, M.: Quantitative security and safety analysis with
attack-fault trees, in: 2017 IEEE 18th International Symposium on High
Assurance Systems Engineering (HASE), 12–14 January 2017, Singapore, 25–32, https://doi.org/10.1109/HASE.2017.12, 2017.
Kurth, M. H., Keenan, J. M., Sasani, M., and Linkov, I.: Defining resilience
for the US building industry, Build. Res. Inform., 47, 480–492, https://doi.org/10.1080/09613218.2018.1452489, 2019.
Leigh, N. G. and Lee, H.: Sustainable and resilient urban water systems:
The role of decentralization and planning, Sustainability, 11, 918,
https://doi.org/10.3390/su11030918, 2019.
Leveson, N., Dulac, N., Zipkin, D., Cutcher-Gershenfeld, J., Carroll, J.,
and Barrett, B.: Engineering resilience into safety-critical systems,
Resil. Eng.: Concept. Precept., Ashgate Publishing Ltd., Hampshire, UK, 95-123, 2006.
LRF: Lloyd's Register Foundation: strategy 2014–2020, London, UK, 2014.
LRF: Foresight review of resilience engineering: designing for the expected
and unexpected, Lloyd's Register Foundation Report Series: No. 2015.2,
London, UK, 2015.
Madni, A. M. and Jackson, S.: Towards a conceptual framework for resilience
engineering, IEEE Syst. J., 3, 181–191, https://doi.org/10.1109/JSYST.2009.2017397, 2009.
Majithia, S.: Improving resilience challenges and linkages of the energy
industry in changing climate, In Weather Matters for Energy, Springer, New
York, NY, 113–131, https://doi.org/10.1007/978-1-4614-9221-4_5, 2014.
Mao, Z., Yan, Y., Wu, J., Hajjar, J. F., and Padlr, T.: Towards Automated
Post-Disaster Damage Assessment of Critical Infrastructure with Small Unmanned Aircraft Systems, in: 2018 IEEE International Symposium on Technologies for Homeland Security (HST), 23–24 October 2018, Woburn, MA, USA, 1–6, https://doi.org/10.1109/THS.2018.8574186, 2018.
Markolf, S. A., Chester, M. V., Eisenberg, D. A., Iwaniec, D. M., Davidson,
C. I., Zimmerman, R., Miller, T. R., Ruddell, B. L., and Chang, H.:
Interdependent Infrastructure as Linked Social, Ecological, and
Technological Systems (SETSs) to Address Lock-in and Enhance Resilience,
Earth's Future, 6, 1638–1659, https://doi.org/10.1029/2018EF000926, 2018.
Martinez, M. L., Taramelli, A., and Silva, R.: Resistance and resilience:
facing the multidimensional challenges in coastal areas, J. Coast. Res., 77, 1–6, https://doi.org/10.2112/SI77-001.1, 2017.
McEvoy, D., Funfgeld, H., and Bosomworth, K.: Resilience and climate change
adaptation: the importance of framing, Plan. Pract. Res., 28, 280–293, https://doi.org/10.1080/02697459.2013.787710, 2013.
McPhearson, T., Andersson, E., Elmqvist, T., and Frantzeskaki, N.: Resilience of and through urban ecosystem services, Ecosyst. Serv., 12, 152–156, https://doi.org/10.1016/j.ecoser.2014.07.012, 2015.
Meadows, D. H.: Thinking in systems: A primer, Chelsea green publishing,
Chelsea, 2008.
Meerow, S. and Newell, J. P.: Resilience and complexity: A bibliometric
review and prospects for industrial ecology, J. Indust. Ecol., 19, 236–251, https://doi.org/10.1111/jiec.12252, 2015.
Meerow, S., Newell, J. P., and Stults, M.: Defining urban resilience: A review, Landsc. Urban Plan., 147, 38–49, 2016.
Mehvar, S., Dastgheib, A., Bamunawala, J., Wickramanayake, M., and
Ranasinghe, R.: Quantitative assessment of the environmental risk due to
climate change-driven coastline recession: A case study in Trincomalee
coastal area, Sri Lanka, Climate Risk Management, Elsevier, the Netherlands, 100192, https://doi.org/10.1016/j.crm.2019.100192, 2019a.
Mehvar, S., Dastgheib, A., Filatova, T., and Ranasinghe, R.: A practical
framework of quantifying climate change-driven environmental losses (QuantiCEL) in coastal areas in developing countries, Environ. Sci.
Policy, 101, 302–310, https://doi.org/10.1016/j.envsci.2019.09.007, 2019b.
Meltzer, J. P.: Financing low carbon, climate resilient infrastructure: the
role of climate finance and green financial systems, in: Climate Resilient
Infrastructure: The Role of Climate Finance and Green Financial Systems,
Brookings, Washington, DC, https://doi.org/10.2139/ssrn.2841918, 2016.
Mens, M. J., Klijn, F., de Bruijn, K. M., and van Beek, E.: The meaning of
system robustness for flood risk management, Environ. Sci. Policy, 14, 1121–1131, https://doi.org/10.1016/j.envsci.2011.08.003, 2011.
Meyer, P. B. and Schwarze, R.: Financing climate-resilient infrastructure:
Determining risk, reward, and return on investment, Front. Eng. Manage., 6, 117–127, https://doi.org/10.1007/s42524-019-0009-4, 2019.
Mosalam, K. M., Alibrandi, U., Lee, H., and Armengou, J.: Performance-based
engineering and multi-criteria decision analysis for sustainable and resilient building design, Struct. Safe., 74, 1–13,
https://doi.org/10.1016/j.strusafe.2018.03.005, 2018.
Mostafavi, A.: A system-of-systems framework for exploratory analysis of
climate change impacts on civil infrastructure resilience, Sustain. Resil. Infrastruct., 3, 175–192, https://doi.org/10.1080/23789689.2017.1416845, 2018.
Mostert, E., Gaertner, M., Holmes, P. M., O'Farrell, P. J., and Richardson,
D. M.: A multi-criterion approach for prioritizing areas in urban ecosystems
for active restoration following invasive plant control, Environ. Manage., 62, 1150–1167, https://doi.org/10.1007/s00267-018-1103-9, 2018.
Muneepeerakul, R. and Anderies, J. M.: Strategic behaviors and governance
challenges in social-ecological systems, Earth's Future, 5, 865–876,
https://doi.org/10.1002/2017EF000562, 2017.
Nagenborg, M.: Urban resilience and distributive justice, Sustain. Resil. Infrastruct., 4, 103–111, https://doi.org/10.1080/23789689.2019.1607658, 2019.
Nan, C. and Sansavini, G.: A quantitative method for assessing resilience of interdependent infrastructures, Reliabil. Eng. Syst. Safe., 157, 35–53, https://doi.org/10.1016/j.ress.2016.08.013, 2017.
Ness, B., Urbel-Piirsalu, E., Anderberg, S., Olsson, L.: Categorising tools
for sustainability assessment, Ecol. Econ., 60, 498–508,
https://doi.org/10.1016/j.ecolecon.2006.07.023, 2007.
Nex, F., Duarte, D., Steenbeek, A., and Kerle, N.: Towards real-time
building damage mapping with low-cost UAV solutions, Remote Sens., 11, 287, https://doi.org/10.3390/rs11030287, 2019.
Nicolas, C., Koks, E., Potter van Loon, A., Arderne, C., Zorn, C., and
Hallegatte, S.: Global Power Sector Exposure and Risk Assessment to Natural
Disasters, Background paper for this report, World Bank, Washington, D.C.,
2019.
O'Brien, K.: Global environmental change II: from adaptation to deliberate
transformation, Prog. Human Geogr., 36, 667–676, https://doi.org/10.1177/0309132511425767, 2012.
OECD: Towards a Framework for the Governance of Infrastructure, Public Governance and Territorial Development Directorate, Paris, 2015.
Oppenheimer, M., Campos, M., Warren, R., Birkmann, J., Luber, G., O'Neill, B., and Takahashi, K.: Emergent risks and key vulnerabilities, in: Climate Change 2014: Impacts, Adaptation, and Vulnerability, Part A: Global and Sectoral Aspects, Cambridge Univ. Press, Cambridge, UK, 1039–1099, 2014.
Ouyang, M.: A mathematical framework to optimize resilience of interdependent critical infrastructure systems under spatially localized attacks, Eur. J. Operat. Res., 262, 1072–1084, https://doi.org/10.1016/j.ejor.2017.04.022, 2017.
Oxman, R.: Performance-based design: current practices and research issues,
Int. J. Architect. Comput., 6, 1–17, https://doi.org/10.1260/147807708784640090, 2008.
Panteli, M., Mancarella, P., Trakas, D. N., Kyriakides, E., and Hatziargyriou, N. D.: Metrics and quantification of operational and infrastructure resilience in power systems, IEEE Trans. Power Syst., 32, 4732–4742, https://doi.org/10.1109/TPWRS.2017.2664141, 2017.
Patriarca, R., Bergström, J., Di Gravio, G., and Costantino, F.:
Resilience engineering: Current status of the research and future challenges, Safe. Sci., 102, 79–100, https://doi.org/10.1016/j.ssci.2017.10.005, 2018.
Paul, S. and Rather, Z. H.: Quantification of Wind Farm Operational and
Infrastructure Resilience, in: 2018 IEEE PES Innovative Smart Grid
Technologies Conference Europe (ISGT-Europe), 21–25 October 2018, Sarajevo, Bosnia and Herzegovina, 1–5, https://doi.org/10.1109/ISGTEurope.2018.8571597, 2018.
Pearson, J., Punzo, G., Mayfield, M., Brighty, G., Parsons, A., Collins, P.,
Jeavons, S., and Tagg, A.: Flood resilience: consolidating knowledge between
and within critical infrastructure sectors, Environ. Syst. Decis., 38, 318–329, https://doi.org/10.1007/s10669-018-9709-2, 2018.
Peters, D. P., Pielke, R. A., Bestelmeyer, B. T., Allen, C. D., Munson-McGee, S., and Havstad, K. M.: Cross-scale interactions, nonlinearities, and forecasting catastrophic events, P. Natl. Acad. Sci. USA, 101, 15130–15135,
https://doi.org/10.1073/pnas.0403822101, 2004.
Rak, J., Hutchison, D., Calle, E., Gomes, T., Gunkel, M., Smith, P., Tapolcai, J., Verbrugge, S., and Wosinska, L.: RECODIS: Resilient communication services protecting end-user applications from disaster-based
failures, in: 18th International Conference on Transparent Optical Networks (ICTON), 10–14 July 2016, Trento, Italy, 1–4, https://doi.org/10.1109/ICTON.2016.7550596, 2016.
Ramsey, M. M., Muñoz-Erickson, T. A., Mélendez-Ackerman, E., Nytch,
C. J., Branoff, B. L., and Carrasquillo-Medrano, D.: Overcoming barriers to
knowledge integration for urban resilience: A knowledge systems analysis of
two-flood prone communities in San Juan, Puerto Rico, Environ. Sci. Policy, 99, 48–57, https://doi.org/10.1016/j.envsci.2019.04.013, 2019.
Reed, D., Wang, S., Kapur, K., and Zheng, C.: Systems-based approach to
interdependent electric power delivery and telecommunications infrastructure
resilience subject to weather-related hazards, J. Struct. Eng., 142, C4015011, https://doi.org/10.1061/(ASCE)ST.1943-541X.0001395, 2015.
Restemeyer, B., van den Brink, M., and Woltjer, J.: Between adaptability and
the urge to control: making long-term water policies in the Netherlands, J. Environ. Plan. Manage., 60, 920–940, https://doi.org/10.1080/09640568.2016.1189403, 2017.
Rinaldi, S. M., Peerenboom, J. P., and Kelly, T. K.: Identifying, understanding, and analyzing critical infrastructure interdependencies, IEEE
Control Syst. Mag., 21, 11–25, https://doi.org/10.1109/37.969131, 2001.
Rodriguez, A. A., Cifdaloz, O., Anderies, J. M., Janssen, M. A., and Dickeson, J.: Confronting management challenges in highly uncertain natural
resource systems: a robustness–vulnerability trade-off approach, Environ. Model. Assess., 16, 15–36, https://doi.org/10.1007/s10666-010-9229-z, 2011.
Román-De La Sancha, A., Mayoral, J. M., Hutchinson, T. C., Candia, G.,
Montgomery, J., and Tepalcapa, S.: Assessment of fragility models based on
the Sept 19th, 2017 earthquake observed damage, Soil Dynam. Earthq. Eng., 125, 105707, https://doi.org/10.1016/j.soildyn.2019.105707, 2019.
Roy, K. C., Cebrian, M., and Hasan, S.: Quantifying human mobility resilience to extreme events using geo-located social media data, EPJ Data Sci., 8, 18, https://doi.org/10.1140/epjds/s13688-019-0196-6, 2019.
Rozenberg, J. and Fay, M.: Beyond the gap: How countries can afford the
infrastructure they need while protecting the planet, The World Bank, Washington, DC, https://doi.org/10.1596/978-1-4648-1363-4, 2019.
Ruijters, E. and Stoelinga, M.: Fault tree analysis: A survey of the
state-of-the-art in modeling, analysis and tools, Comput. Sci. Rev., 15, 29–62, https://doi.org/10.1016/j.cosrev.2015.03.001, 2015.
Ruijters, E. and Stoelinga, M.: Better railway engineering through statistical model checking, in: International Symposium on Leveraging
Applications of Formal Methods, Springer, Cham, 151–165,
https://doi.org/10.1007/978-3-319-47166-2_10, 2016.
Salinas Rodriguez, C. N., Ashley, R., Gersonius, B., Rijke, J., Pathirana,
A., and Zevenbergen, C.: Incorporation and application of resilience in the
context of water-sensitive urban design: linking European and Australian
perspectives, Wiley Interdisciplin. Rev.: Water, 1, 173–186,
https://doi.org/10.1002/wat2.1017, 2014.
Sapkota, R. P., Stahl, P. D., and Rijal, K.: Restoration governance: An
integrated approach towards sustainably restoring degraded ecosystems, Environ. Dev., 27, 83–94, https://doi.org/10.1016/j.envdev.2018.07.001, 2018.
Scheffer, M., Carpenter, S., Foley, J. A., Folke, C., and Walker, B.:
Catastrophic shifts in ecosystems, Nature, 413, 6856, https://doi.org/10.1038/35098000, 2001.
Schippers, M. C., Edmondson, A. C., and West, M. A.: Team reflexivity as an
antidote to team information-processing failures, Small Group Res., 45,
731–769, https://doi.org/10.1177/1046496414553473, 2014.
Sharma, N., Tabandeh, A., and Gardoni, P.: Resilience analysis: a mathematical formulation to model resilience of engineering systems,
Taylor & Francis, UK, https://doi.org/10.1080/23789689.2017.1345257, 2017.
Sheykhmousa, M., Kerle, N., Kuffer, M., and Ghaffarian, S.: Post-disaster
recovery assessment with machine learning-derived land cover and land use
information, Remote Sens., 11, 1174, https://doi.org/10.3390/rs11101174, 2019.
Shittu, E., Parker, G., and Mock, N.: Improving communication resilience for
effective disaster relief operations, Environ. Syst. Decis., 38, 379–397, https://doi.org/10.1007/s10669-018-9694-5, 2018.
Shrier, D., Wu, W., and Pentland, A.: Blockchain and infrastructure (identity, data security), Massachusetts Institute of Technology – Connection Science, Massachusetts, 1, 1–19, 2016.
Siegel, A. W. and Schraagen, J. M. C.: Measuring workload weak resilience
signals at a rail control post, IIE T. Occupat. Ergonom. Human Fact., 2, 179–193, https://doi.org/10.1080/21577323.2014.958632, 2014.
Siegel, A. W. and Schraagen, J. M. C.: Beyond procedures: Team reflection in a rail control centre to enhance resilience, Safe. Sci., 91, 181–191,
https://doi.org/10.1016/j.ssci.2016.08.013, 2017a.
Siegel, A. W. and Schraagen, J. M. C.: Team reflection makes resilience-related knowledge explicit through collaborative sensemaking:
observation study at a rail post, Cognit. Technol. Work, 19, 127–142, https://doi.org/10.1007/s10111-016-0400-4, 2017b.
Spence, S. M. and Kareem, A.: Performance-based design and optimization of
uncertain wind-excited dynamic building systems, Eng. Struct., 78, 133–144, https://doi.org/10.1016/j.engstruct.2014.07.026, 2014.
Sridharan, V., Broad, O., Shivakumar, A., Howells, M., Boehlert, B., Groves,
D. G., Rogner, H. H., Taliotis, C., Neumann, J. E., Strzepek, K. M., and
Lempert, R.: Resilience of the Eastern African electricity sector to climate
driven changes in hydropower generation, Nat. Commun., 10, 302,
https://doi.org/10.1038/s41467-018-08275-7, 2019.
Staddon, C., Ward, S., De Vito, L., Zuniga-Teran, A., Gerlak, A. K., Schoeman, Y., Hart, A., and Booth, G.: Contributions of green infrastructure
to enhancing urban resilience, Environ. Syst. Decis., 38, 330–338, https://doi.org/10.1007/s10669-018-9702-9, 2018.
Steen, R. and Aven, T.: A risk perspective suitable for resilience engineering, Safe. Sci., 49, 292–297, https://doi.org/10.1016/j.ssci.2010.09.003, 2011.
Stern, M. J. and Baird, T. D.: Trust ecology and the resilience of natural
resource management institutions, Ecol. Soc., 20, 14, https://doi.org/10.5751/ES-07248-200214, 2015.
Stive, M. J., de Schipper, M. A., Luijendijk, A. P., Aarninkhof, S. G., van Gelder-Maas, C., van Thiel de Vries, J. S., de Vries, S., Henriquez, M.,
Marx, S., and Ranasinghe, R.: A new alternative to saving our beaches from
sea-level rise: The sand engine, J. Coast. Res., 29, 1001–1008, https://doi.org/10.2112/JCOASTRES-D-13-00070.1, 2013.
Thacker, S., Pant, R., and Hall, J. W.: System-of-systems formulation and
disruption analysis for multi-scale critical national infrastructures,
Reliabil. Eng. Syst. Safe., 167, 30–41, https://doi.org/10.1016/j.ress.2017.04.023, 2017.
Troccoli, A., Dubus, L., and Haupt, S. E.: Weather matters for energy, Springer, Berlin, https://doi.org/10.1007/978-1-4614-9221-4, 2014.
Tsavdaroglou, M., Al-Jibouri, S. H., Bles, T., and Halman, J. I.: Proposed
methodology for risk analysis of interdependent critical infrastructures to
extreme weather events, Int. J. Crit. Infrastruct. Protect., 21, 57–71, https://doi.org/10.1016/j.ijcip.2018.04.002, 2018.
Underwood, P. and Waterson, P.: Systemic accident analysis: examining the gap between research and practice, Accident Anal. Prevent., 55, 154–164, https://doi.org/10.1016/j.aap.2013.02.041, 2013.
Van der Bijl-Brouwer, M. and Dorst, K.: Advancing the strategic impact of
human-centred design, Design Stud., 53, 1–23, https://doi.org/10.1016/j.destud.2017.06.003, 2017.
Van den Beukel, A. P. and van der Voort, M. C.: How to assess driver's
interaction with partially automated driving systems – A framework for early
concept assessment, Appl. Ergonom., 59, 302–312, https://doi.org/10.1016/j.apergo.2016.09.005, 2017.
Venkataramanan, V., Packman, A. I., Peters, D. R., Lopez, D., McCuskey, D.
J., McDonald, R. I., Miller, W. M., and Young, S. L.: A systematic review of
the human health and social well-being outcomes of green infrastructure for
stormwater and flood management, J. Environ. Manage., 246, 868–880, https://doi.org/10.1016/j.jenvman.2019.05.028, 2019.
Vuik, V., Jonkman, S. N., Borsje, B. W., and Suzuki, T.: Nature-based flood
protection: The efficiency of vegetated foreshores for reducing wave loads on coastal dikes, Coast. Eng., 116, 42–56, https://doi.org/10.1016/j.coastaleng.2016.06.001, 2016.
Vuik, V., Borsje, B. W., Willemsen, P. W., and Jonkman, S. N.: Salt marshes
for flood risk reduction: Quantifying long-term effectiveness and life-cycle
costs, Ocean. Coast. Manage., 171, 96–110, https://doi.org/10.1016/j.ocecoaman.2019.01.010, 2019.
Walker, B., Holling, C. S., Carpenter, S., and Kinzig, A.: Resilience,
adaptability and transformability in social-ecological systems, Ecol. Soc.,
9, 5, 2004.
Walker, B., Carpenter, S., Anderies, J., Abel, N., Cumming, G., Janssen, M.,
Lebel, L., Norberg, J., Peterson, G., and Pritchard, R.: Resilience management in social-ecological systems: A working hypothesis for a
participatory approach, Ecol. Soc., 6, 14, 2018.
Wamsler, C.: Cities, Disaster Risk and Adaptation, in: Routledge Critical
Introductions to Urbanism and the City, Routledge, London, 2014.
Wang, W., Yang, S., Stanley, H. E., and Gao, J.: Local floods induce large-scale abrupt failures of road networks, Nat. Commun., 10, 2114, https://doi.org/10.1038/s41467-019-10063-w, 2019.
Wardekker, J. A., de Jong, A., Knoop, J. M., and van er Sluijs, J. P.:
Operationalising a resilience approach to adapting an urban delta to uncertain climate changes, Technol. Forecast. Social Change, 77, 987–998, https://doi.org/10.1016/j.techfore.2009.11.005, 2010.
Wei, H. H., Sim, T., and Han, Z.: Confidence in authorities, neighbourhood
cohesion and natural hazards preparedness in Taiwan, Int. J. Disast. Risk Reduct., 40, 101265, https://doi.org/10.1016/j.ijdrr.2019.101265, 2019.
Wolch, J. R., Byrne, J., and Newell, J. P.: Urban green space, public health, and environmental justice: The challenge of making cities `just green enough', Landsc. Urban Plan., 125, 234–244, https://doi.org/10.1016/j.landurbplan.2014.01.017, 2014.
Woods, D. D.: Four concepts for resilience and the implications for the future of resilience engineering, Reliabil. Eng. Syst. Safe., 141, 5–9, https://doi.org/10.1016/j.ress.2015.03.018, 2015.
Wu, J. and Wu, T.: Ecological resilience as a foundation for urban design and sustainability, In Resilience in Ecology and Urban Design, Springer, Dordrecht, 211–229, https://doi.org/10.1007/978-94-007-5341-9_10, 2013.
Wu, Y., Tornatore, M., Martel, C. U., and Mukherjee, B.: Content
Fragmentation: A Redundancy Scheme to Save Energy in Cloud Networks, IEEE T. Green Commun. Netw., 2, 1186–1196, https://doi.org/10.1109/TGCN.2018.2870616, 2018.
WWAP – United Nations World Water Assessment Programme: The United Nations
World Water Development Report 2018: Nature-Based Solutions for Water,
UNESCO, Paris, 2018.
Xue, X., Wang, L., and Yang, R. J.: Exploring the science of resilience:
critical review and bibliometric analysis, Nat. Hazards, 90, 477–510,
https://doi.org/10.1007/s11069-017-3040-y, 2018.
Zhang, X., Mahadevan, S., Sankararaman, S., and Goebel, K.: Resilience-based
network design under uncertainty, Reliabil. Eng. Syst. Safe., 169, 364–379, https://doi.org/10.1016/j.ress.2017.09.009, 2018.
Zimmerman, R., Zhu, Q., and Dimitri, C.: Promoting resilience for food,
energy, and water interdependencies, J. Environ. Stud. Sci., 6, 50–61, https://doi.org/10.1007/s13412-016-0362-0, 2016.
Zou, Q. and Chen, S.: Enhancing resilience of interdependent traffic-electric power system, Reliabil. Eng. Syst. Safe., 191, 106557, https://doi.org/10.1016/j.ress.2019.106557, 2019.
Short summary
This review synthesizes and complements existing knowledge in designing resilient vital infrastructure systems (VIS). Results from a systematic literature review indicate that (i) VIS are still being built without taking resilience explicitly into account and (ii) measures to enhance the resilience of VIS have not been widely applied in practice. The main pressing topic to address is the integration of the combined social, ecological, and technical resilience of these systems.
This review synthesizes and complements existing knowledge in designing resilient vital...
Altmetrics
Final-revised paper
Preprint