Articles | Volume 18, issue 3
Nat. Hazards Earth Syst. Sci., 18, 889–906, 2018
https://doi.org/10.5194/nhess-18-889-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: Damage of natural hazards: assessment and mitigation
Nat. Hazards Earth Syst. Sci., 18, 889–906, 2018
https://doi.org/10.5194/nhess-18-889-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 20 Mar 2018
Research article | 20 Mar 2018
The effect of soil moisture anomalies on maize yield in Germany
Michael Peichl et al.
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Michael Peichl, Stephan Thober, Luis Samaniego, Bernd Hansjürgens, and Andreas Marx
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-9, https://doi.org/10.5194/hess-2021-9, 2021
Revised manuscript accepted for HESS
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A statistical model that can account for complex systems is used to identify the main factors affecting wheat yield in Germany. In many parts of Germany, the main adverse effect is caused by too much soil water in spring. Yield losses in northeastern Germany are related to soil moisture drought. Meteorological effects such as heat do not seem to play a prominent role. Furthermore, the model is able to explain both exceptionally high yields (2014) and yields in very high loss years (2003, 2018).
Friedrich Boeing, Oldrich Rakovech, Rohini Kumar, Luis Samaniego, Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, and Andreas Marx
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-402, https://doi.org/10.5194/hess-2021-402, 2021
Preprint under review for HESS
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In this paper, we deliver an evaluation of the second generation operational German Drought Monitor (www.ufz.de/duerremonitor) with a state-of-the-art compilation of observed soil moisture data from 40 locations and four different measurement methods in Germany. We show that the expressed stakeholder needs for higher resolution drought information at the one-kilometer scale can be met and that SM dynamics could be moderately improved compared to observations.
Camelia-Eliza Telteu, Hannes Müller Schmied, Wim Thiery, Guoyong Leng, Peter Burek, Xingcai Liu, Julien Eric Stanislas Boulange, Lauren Seaby Andersen, Manolis Grillakis, Simon Newland Gosling, Yusuke Satoh, Oldrich Rakovec, Tobias Stacke, Jinfeng Chang, Niko Wanders, Harsh Lovekumar Shah, Tim Trautmann, Ganquan Mao, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Luis Samaniego, Yoshihide Wada, Vimal Mishra, Junguo Liu, Petra Döll, Fang Zhao, Anne Gädeke, Sam S. Rabin, and Florian Herz
Geosci. Model Dev., 14, 3843–3878, https://doi.org/10.5194/gmd-14-3843-2021, https://doi.org/10.5194/gmd-14-3843-2021, 2021
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We analyse water storage compartments, water flows, and human water use sectors included in 16 global water models that provide simulations for the Inter-Sectoral Impact Model Intercomparison Project phase 2b. We develop a standard writing style for the model equations. We conclude that even though hydrologic processes are often based on similar equations, in the end these equations have been adjusted, or the models have used different values for specific parameters or specific variables.
Robert Schweppe, Stephan Thober, Matthias Kelbling, Rohini Kumar, Sabine Attinger, and Luis Samaniego
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-103, https://doi.org/10.5194/gmd-2021-103, 2021
Revised manuscript accepted for GMD
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The stand-alone Multiscale Parameter Regionalization (MPR) tool enables environmental modellers to efficiently estimate model parameters with high-resolution datasets. It flexibly ingests these datasets by user-defined data-parameter relationships and rescales them to given model resolutions. Especially land-surface models benefit from MPR through increased transparency and flexibility in modelling decisions. Thus, MPR empowers more sound and robust simulations of the Earth system.
Michael Peichl, Stephan Thober, Luis Samaniego, Bernd Hansjürgens, and Andreas Marx
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-9, https://doi.org/10.5194/hess-2021-9, 2021
Revised manuscript accepted for HESS
Short summary
Short summary
A statistical model that can account for complex systems is used to identify the main factors affecting wheat yield in Germany. In many parts of Germany, the main adverse effect is caused by too much soil water in spring. Yield losses in northeastern Germany are related to soil moisture drought. Meteorological effects such as heat do not seem to play a prominent role. Furthermore, the model is able to explain both exceptionally high yields (2014) and yields in very high loss years (2003, 2018).
Miao Jing, Rohini Kumar, Falk Heße, Stephan Thober, Oldrich Rakovec, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 24, 1511–1526, https://doi.org/10.5194/hess-24-1511-2020, https://doi.org/10.5194/hess-24-1511-2020, 2020
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This study investigates the response of regional groundwater system to the climate change under three global warming levels (1.5, 2, and 3 °C) in a central German basin. A comprehensive uncertainty analysis is also presented. This study indicates that the variability of responses increases with the amount of global warming, which might affect the cost of managing the groundwater system.
Stephan Thober, Matthias Cuntz, Matthias Kelbling, Rohini Kumar, Juliane Mai, and Luis Samaniego
Geosci. Model Dev., 12, 2501–2521, https://doi.org/10.5194/gmd-12-2501-2019, https://doi.org/10.5194/gmd-12-2501-2019, 2019
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We present a model that aggregates simulated runoff along a river
(i.e. a routing model). The unique feature of the model is that it
can be run at multiple resolutions without any modifications to the
input data. The model internally (dis-)aggregates all input data to
the resolution given by the user. The model performance does not
depend on the chosen resolution. This allows efficient model
calibration at coarse resolution and subsequent model application at
fine resolution.
Miao Jing, Falk Heße, Rohini Kumar, Wenqing Wang, Thomas Fischer, Marc Walther, Matthias Zink, Alraune Zech, Luis Samaniego, Olaf Kolditz, and Sabine Attinger
Geosci. Model Dev., 11, 1989–2007, https://doi.org/10.5194/gmd-11-1989-2018, https://doi.org/10.5194/gmd-11-1989-2018, 2018
Mehmet C. Demirel, Juliane Mai, Gorka Mendiguren, Julian Koch, Luis Samaniego, and Simon Stisen
Hydrol. Earth Syst. Sci., 22, 1299–1315, https://doi.org/10.5194/hess-22-1299-2018, https://doi.org/10.5194/hess-22-1299-2018, 2018
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Satellite data offer great opportunities to improve spatial model predictions by means of spatially oriented model evaluations. In this study, satellite images are used to observe spatial patterns of evapotranspiration at the land surface. These spatial patterns are utilized in combination with streamflow observations in a model calibration framework including a novel spatial performance metric tailored to target the spatial pattern performance of a catchment-scale hydrological model.
Andreas Marx, Rohini Kumar, Stephan Thober, Oldrich Rakovec, Niko Wanders, Matthias Zink, Eric F. Wood, Ming Pan, Justin Sheffield, and Luis Samaniego
Hydrol. Earth Syst. Sci., 22, 1017–1032, https://doi.org/10.5194/hess-22-1017-2018, https://doi.org/10.5194/hess-22-1017-2018, 2018
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Hydrological low flows are affected under different levels of future global warming (i.e. 1.5, 2, and 3 K). The multi-model ensemble results show that the change signal amplifies with increasing warming levels. Low flows decrease in the Mediterranean, while they increase in the Alpine and Northern regions. The changes in low flows are significant for regions with relatively large change signals and under higher levels of warming. Adaptation should make use of change and uncertainty information.
Simon Höllering, Jan Wienhöfer, Jürgen Ihringer, Luis Samaniego, and Erwin Zehe
Hydrol. Earth Syst. Sci., 22, 203–220, https://doi.org/10.5194/hess-22-203-2018, https://doi.org/10.5194/hess-22-203-2018, 2018
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Hydrological fingerprints are introduced as response targets for sensitivity analysis and combined with a conventional approach using streamflow data for a temporally resolved sensitivity analysis. The joint benefit of both approaches is presented for several headwater catchments. The approach allows discerning a clarified pattern for parameter influences pinpointed to diverse response characteristics and detecting even slight regional differences.
Luis Samaniego, Rohini Kumar, Stephan Thober, Oldrich Rakovec, Matthias Zink, Niko Wanders, Stephanie Eisner, Hannes Müller Schmied, Edwin H. Sutanudjaja, Kirsten Warrach-Sagi, and Sabine Attinger
Hydrol. Earth Syst. Sci., 21, 4323–4346, https://doi.org/10.5194/hess-21-4323-2017, https://doi.org/10.5194/hess-21-4323-2017, 2017
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We inspect the state-of-the-art of several land surface (LSMs) and hydrologic models (HMs) and show that most do not have consistent and realistic parameter fields for land surface geophysical properties. We propose to use the multiscale parameter regionalization (MPR) technique to solve, at least partly, the scaling problem in LSMs/HMs. A general model protocol is presented to describe how MPR can be applied to a specific model.
Christa D. Peters-Lidard, Martyn Clark, Luis Samaniego, Niko E. C. Verhoest, Tim van Emmerik, Remko Uijlenhoet, Kevin Achieng, Trenton E. Franz, and Ross Woods
Hydrol. Earth Syst. Sci., 21, 3701–3713, https://doi.org/10.5194/hess-21-3701-2017, https://doi.org/10.5194/hess-21-3701-2017, 2017
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In this synthesis of hydrologic scaling and similarity, we assert that it is time for hydrology to embrace a fourth paradigm of data-intensive science. Advances in information-based hydrologic science, coupled with an explosion of hydrologic data and advances in parameter estimation and modeling, have laid the foundation for a data-driven framework for scrutinizing hydrological hypotheses. We call upon the community to develop a focused effort towards a fourth paradigm for hydrology.
Martyn P. Clark, Marc F. P. Bierkens, Luis Samaniego, Ross A. Woods, Remko Uijlenhoet, Katrina E. Bennett, Valentijn R. N. Pauwels, Xitian Cai, Andrew W. Wood, and Christa D. Peters-Lidard
Hydrol. Earth Syst. Sci., 21, 3427–3440, https://doi.org/10.5194/hess-21-3427-2017, https://doi.org/10.5194/hess-21-3427-2017, 2017
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The diversity in hydrologic models has led to controversy surrounding the “correct” approach to hydrologic modeling. In this paper we revisit key modeling challenges on requirements to (1) define suitable model equations, (2) define adequate model parameters, and (3) cope with limitations in computing power. We outline the historical modeling challenges, summarize modeling advances that address these challenges, and define outstanding research needs.
Gabriele Baroni, Matthias Zink, Rohini Kumar, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 21, 2301–2320, https://doi.org/10.5194/hess-21-2301-2017, https://doi.org/10.5194/hess-21-2301-2017, 2017
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Three methods are used to characterize the uncertainty in soil properties. The effect on simulated states and fluxes is quantified using a distributed hydrological model. Different impacts are identified as function of the perturbation method, of the model outputs and of the spatio-temporal resolution. The study underlines the importance of a proper characterization of the uncertainty in soil properties for a correct assessment of their role and further improvements in the model application.
Matthias Zink, Rohini Kumar, Matthias Cuntz, and Luis Samaniego
Hydrol. Earth Syst. Sci., 21, 1769–1790, https://doi.org/10.5194/hess-21-1769-2017, https://doi.org/10.5194/hess-21-1769-2017, 2017
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We discuss the estimation of a long-term, high-resolution, continuous and consistent dataset of hydro-meteorological variables for Germany. Here we describe the derivation of national-scale parameter sets and analyze the uncertainty of the estimated hydrologic variables (focusing on the parametric uncertainty). Our study highlights the role of accounting for the parametric uncertainty in model-derived hydrological datasets.
Falk Heße, Matthias Zink, Rohini Kumar, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 21, 549–570, https://doi.org/10.5194/hess-21-549-2017, https://doi.org/10.5194/hess-21-549-2017, 2017
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Travel-time distributions are a comprehensive tool for the characterization of hydrological systems. In our study, we used data that were simulated by virtue of a well-established hydrological model. This gave us a very large yet realistic dataset, both in time and space, from which we could infer the relative impact of different factors on travel-time behavior. These were, in particular, meteorological (precipitation), land surface (land cover, leaf-area index) and subsurface (soil) properties.
Simon Höllering, Jürgen Ihringer, Luis Samaniego, and Erwin Zehe
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-249, https://doi.org/10.5194/hess-2016-249, 2016
Preprint withdrawn
Remko C. Nijzink, Luis Samaniego, Juliane Mai, Rohini Kumar, Stephan Thober, Matthias Zink, David Schäfer, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 20, 1151–1176, https://doi.org/10.5194/hess-20-1151-2016, https://doi.org/10.5194/hess-20-1151-2016, 2016
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The heterogeneity of landscapes in river basins strongly affects the hydrological response. In this study, the distributed mesoscale Hydrologic Model (mHM) was equipped with additional processes identified by landscapes within one modelling cell. Seven study catchments across Europe were selected to test the value of this additional sub-grid heterogeneity. In addition, the models were constrained based on expert knowledge. Generally, the modifications improved the representation of low flows.
Rohini Kumar, Jude L. Musuuza, Anne F. Van Loon, Adriaan J. Teuling, Roland Barthel, Jurriaan Ten Broek, Juliane Mai, Luis Samaniego, and Sabine Attinger
Hydrol. Earth Syst. Sci., 20, 1117–1131, https://doi.org/10.5194/hess-20-1117-2016, https://doi.org/10.5194/hess-20-1117-2016, 2016
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In a maiden attempt, we performed a multiscale evaluation of the widely used SPI to characterize local- and regional-scale groundwater (GW) droughts using observations at 2040 groundwater wells in Germany and the Netherlands. From this data-based exploratory analysis, we provide sufficient evidence regarding the inability of the SPI to characterize GW drought events, and stress the need for more GW observations and accounting for regional hydrogeological characteristics in GW drought monitoring.
V. Meyer, N. Becker, V. Markantonis, R. Schwarze, J. C. J. M. van den Bergh, L. M. Bouwer, P. Bubeck, P. Ciavola, E. Genovese, C. Green, S. Hallegatte, H. Kreibich, Q. Lequeux, I. Logar, E. Papyrakis, C. Pfurtscheller, J. Poussin, V. Przyluski, A. H. Thieken, and C. Viavattene
Nat. Hazards Earth Syst. Sci., 13, 1351–1373, https://doi.org/10.5194/nhess-13-1351-2013, https://doi.org/10.5194/nhess-13-1351-2013, 2013
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Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-153, https://doi.org/10.5194/nhess-2021-153, 2021
Revised manuscript accepted for NHESS
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Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-200, https://doi.org/10.5194/nhess-2021-200, 2021
Revised manuscript under review for NHESS
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Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision-makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
Chiara Arrighi, Maria Pregnolato, and Fabio Castelli
Nat. Hazards Earth Syst. Sci., 21, 1955–1969, https://doi.org/10.5194/nhess-21-1955-2021, https://doi.org/10.5194/nhess-21-1955-2021, 2021
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Floods may affect critical infrastructure which provides essential services to people. We analyse the impact of floods on road networks and water supply systems, and we investigate how cascade effects propagate if interdependencies among networks are not considered. The analysis shows that if preparedness plans include information on accessibility to key sections of water supply plants, less people suffer from water shortage in case of flood. The method is tested in the city of Florence (Italy).
Donghoon Lee, Hassan Ahmadul, Jonathan Patz, and Paul Block
Nat. Hazards Earth Syst. Sci., 21, 1807–1823, https://doi.org/10.5194/nhess-21-1807-2021, https://doi.org/10.5194/nhess-21-1807-2021, 2021
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This article assesses the thematic and composite social and health vulnerability of Bangladesh to floods. Tailored vulnerability, weighted by flood forecast and satellite inundation, can be used to predict the massive impacts of the August 2017 flood event. This approach has several advantages and practical implications, including the potential to promote targeted and coordinated disaster management and health practices.
Ante Ivčević, Hubert Mazurek, Lionel Siame, Raquel Bertoldo, Vania Statzu, Kamal Agharroud, Isabel Estrela Rego, Nibedita Mukherjee, Matthieu Kervyn, and Olivier Bellier
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-159, https://doi.org/10.5194/nhess-2021-159, 2021
Revised manuscript accepted for NHESS
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The results from two Mediterranean case studies, North Morocco and West Sardinia, confirm the importance of interdisciplinarity and risk awareness sessions in risk management. The policy literature and interviews held with the administration, associations and scientists indicate that although recognised, the importance of risk awareness sessions is not necessarily put into practice. As a consequence, this could lead to a failure of risk management policy.
Guilherme S. Mohor, Annegret H. Thieken, and Oliver Korup
Nat. Hazards Earth Syst. Sci., 21, 1599–1614, https://doi.org/10.5194/nhess-21-1599-2021, https://doi.org/10.5194/nhess-21-1599-2021, 2021
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We explored differences in the damaging process across different flood types, regions within Germany, and six flood events through a numerical model in which the groups can learn from each other. Differences were found mostly across flood types, indicating the importance of identifying them, but there is great overlap across regions and flood events, indicating either that socioeconomic or temporal information was not well represented or that they are in fact less different within our cases.
Luana Lavagnoli Moreira, Mariana Madruga de Brito, and Masato Kobiyama
Nat. Hazards Earth Syst. Sci., 21, 1513–1530, https://doi.org/10.5194/nhess-21-1513-2021, https://doi.org/10.5194/nhess-21-1513-2021, 2021
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The review of flood vulnerability indices revealed that (1) temporal dynamic aspects were often disregarded, (2) coping and adaptive capacity indicators were frequently ignored, as obtaining these data demand time and effort, and (3) most studies neither applied sensitivity (90.5 %) or uncertainty analyses (96.8 %) nor validated the results (86.3 %). The study highlights the importance of addressing these gaps to produce scientifically rigorous and comparable research.
Kai Wan Yuen, Tang Thi Hanh, Vu Duong Quynh, Adam D. Switzer, Paul Teng, and Janice Ser Huay Lee
Nat. Hazards Earth Syst. Sci., 21, 1473–1493, https://doi.org/10.5194/nhess-21-1473-2021, https://doi.org/10.5194/nhess-21-1473-2021, 2021
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We used flow diagrams to represent the ways in which anthropogenic land use and natural hazards have affected rice production in the two
mega-deltas of Vietnam. Anthropogenic developments meant to improve productivity may create negative feedbacks on rice production and quality. Natural hazards further amplify problems created by human activities. A systems-thinking approach can yield nuanced perspectives for tackling environmental challenges.
Yanshen Wu, Hao Guo, Anyu Zhang, and Jing'ai Wang
Nat. Hazards Earth Syst. Sci., 21, 1209–1228, https://doi.org/10.5194/nhess-21-1209-2021, https://doi.org/10.5194/nhess-21-1209-2021, 2021
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To improve the quantitative degree of spatial analysis of vulnerability, we construct grid-scale drought vulnerability curves of European winter wheat based on model simulation, and we discuss their spatial differences through feature points and clustering features. These vulnerability curves show zonal differences, which can be divided into five loss types, and the vulnerability increases from south to north. The results can provide guidance for regionalized risk management.
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
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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.
Narjiss Satour, Otmane Raji, Nabil El Moçayd, Ilias Kacimi, and Nadia Kassou
Nat. Hazards Earth Syst. Sci., 21, 1101–1118, https://doi.org/10.5194/nhess-21-1101-2021, https://doi.org/10.5194/nhess-21-1101-2021, 2021
Nathalie Long, Pierre Cornut, and Virginia Kolb
Nat. Hazards Earth Syst. Sci., 21, 1087–1100, https://doi.org/10.5194/nhess-21-1087-2021, https://doi.org/10.5194/nhess-21-1087-2021, 2021
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Climate change is leading to an increase in extreme events and enforces the development of adaptation strategies to face coastal risk. These strategies modify the inequalities barely considered during the decision-making process and question the resilience of these territories. On the French Atlantic coast, the study reveals that the
managed retreatstrategy seems the most sustainable over time, while the
holding the coastlinestrategy reinforces inequalities and costs for the whole society.
Marco Cerri, Max Steinhausen, Heidi Kreibich, and Kai Schröter
Nat. Hazards Earth Syst. Sci., 21, 643–662, https://doi.org/10.5194/nhess-21-643-2021, https://doi.org/10.5194/nhess-21-643-2021, 2021
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Effective flood management requires information about the potential consequences of flooding. We show how openly accessible data from OpenStreetMap can support the estimation of flood damage for residential buildings. Working with methods of machine learning, the building geometry is used to predict flood damage in combination with information about inundation depth. Our approach makes it easier to transfer models to regions where no detailed data of flood impacts have been observed yet.
Stephen Cunningham, Steven Schuldt, Christopher Chini, and Justin Delorit
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-402, https://doi.org/10.5194/nhess-2020-402, 2021
Revised manuscript accepted for NHESS
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The severity of disaster-induced mental health illness outcomes varies based on factors such as socioeconomic standing, age, and degree of exposure. This research proposes a resource allocation framework allowing decision-makers the capability to assess the capacity and scalability of early, intermediate, and long-term mental health treatment and recovery. Ultimately, this framework can inform policy and operational decisions based on community needs and constrained resources post-disaster.
Si Wang, Lin Mu, Zhenfeng Yao, Jia Gao, Enjin Zhao, and Lizhe Wang
Nat. Hazards Earth Syst. Sci., 21, 439–462, https://doi.org/10.5194/nhess-21-439-2021, https://doi.org/10.5194/nhess-21-439-2021, 2021
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The study provides a comprehensive assessment and zonation of hazard, vulnerability, and risk of storm surge caused by the designed typhoon scenarios in the coastal area of Huizhou. The risk maps can help decision-makers to develop evacuation strategies to minimize civilian casualties. The risk analysis can be utilized to identify risk regions to reduce economic losses. The proposed methodology and procedure can be applied to any coastal city in China for making risk assessments.
Samuel Eberenz, Samuel Lüthi, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 21, 393–415, https://doi.org/10.5194/nhess-21-393-2021, https://doi.org/10.5194/nhess-21-393-2021, 2021
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Asset damage caused by tropical cyclones is often computed based on impact functions mapping wind speed to damage. However, a lack of regional impact functions can lead to a substantial bias in tropical cyclone risk estimates. Here, we present regionally calibrated impact functions, as well as global risk estimates. Our results are relevant for researchers, model developers, and practitioners in the context of global risk assessments, climate change adaptation, and physical risk disclosure.
Christoph Welker, Thomas Röösli, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 21, 279–299, https://doi.org/10.5194/nhess-21-279-2021, https://doi.org/10.5194/nhess-21-279-2021, 2021
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How representative are local building insurers' claims to assess winter windstorm risk? In our case study of Zurich, we use a risk model for windstorm building damages and compare three different inputs: insurance claims and historical and probabilistic windstorm datasets. We find that long-term risk is more robustly assessed based on windstorm datasets than on claims data only. Our open-access method allows European building insurers to complement their risk assessment with modelling results.
Marc Sanuy and Jose A. Jiménez
Nat. Hazards Earth Syst. Sci., 21, 219–238, https://doi.org/10.5194/nhess-21-219-2021, https://doi.org/10.5194/nhess-21-219-2021, 2021
Sebastian Scheuer, Dagmar Haase, Annegret Haase, Manuel Wolff, and Thilo Wellmann
Nat. Hazards Earth Syst. Sci., 21, 203–217, https://doi.org/10.5194/nhess-21-203-2021, https://doi.org/10.5194/nhess-21-203-2021, 2021
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The choice of residential location is one of the drivers shaping risks in cities. We model likely outcomes of this decision-making process for distinct socioeconomic groups in the city of Leipzig, Germany, using random forests and geostatistical methods. In so doing, we uncover hot spots and cold spots that may indicate spatial patterns and trends in exposure and vulnerabilities of urban population, to shed light on how residential location choice affects these risk components as a process.
Joel C. Gill, Faith E. Taylor, Melanie J. Duncan, Solmaz Mohadjer, Mirianna Budimir, Hassan Mdala, and Vera Bukachi
Nat. Hazards Earth Syst. Sci., 21, 187–202, https://doi.org/10.5194/nhess-21-187-2021, https://doi.org/10.5194/nhess-21-187-2021, 2021
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This paper draws on the experiences of seven early career scientists, in different sectors and contexts, to explore the improved integration of natural hazard science into broader efforts to reduce the likelihood and impacts of disasters. We include recommendations for natural hazard scientists, to improve education, training, and research design and to strengthen institutional, financial, and policy actions. We hope to provoke discussion and catalyse changes that will help reduce disaster risk.
Delioma Oramas-Dorta, Giulio Tirabassi, Guillermo Franco, and Christina Magill
Nat. Hazards Earth Syst. Sci., 21, 99–113, https://doi.org/10.5194/nhess-21-99-2021, https://doi.org/10.5194/nhess-21-99-2021, 2021
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Large volcanic eruptions are rare events; however, they may cause significant economic losses. This work explores a specific type of insurance (parametric insurance) applied to such events. Unlike traditional insurance where payouts occur after often lengthy loss assessments, this type of insurance makes automatic and prompt payments on the basis of the eruption attaining threshold values for objective and easily measurable characteristics (height and direction of the eruption column).
Mattia Amadio, Arthur H. Essenfelder, Stefano Bagli, Sepehr Marzi, Paolo Mazzoli, Jaroslav Mysiak, and Stephen Roberts
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-414, https://doi.org/10.5194/nhess-2020-414, 2021
Preprint under review for NHESS
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In this study we estimate the impacts of sea level rise on extreme sea level events over the North Adriatic Italian coast up to 2100, and perform a cost-benefit analysis of planned or proposed coastal renovation projects. Our findings represent a useful indication for urban planners and risk researchers all around the world, helping to understand the importance of investing in adaptation and estimating the economic return of that investments.
Stefan Oberndorfer, Philip Sander, and Sven Fuchs
Nat. Hazards Earth Syst. Sci., 20, 3135–3160, https://doi.org/10.5194/nhess-20-3135-2020, https://doi.org/10.5194/nhess-20-3135-2020, 2020
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The article provides a comparison of a standard (deterministic) risk assessment approach for roads exposed to a multi-hazard environment with a probabilistic risk analysis method to show the potential bias in the results. A probabilistic approach enables the quantification of epistemic uncertainty and uses probability distributions to characterize data uncertainty of the input variables, while a deterministic computation uses single values with discrete values without uncertainty representation.
Alexandra Nauditt, Kerstin Stahl, Erasmo Rodríguez, Christian Birkel, Rosa Maria Formiga-Johnsson, Kallio Marko, Hamish Hann, Lars Ribbe, Oscar M. Baez-Villanueva, and Joschka Thurner
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-360, https://doi.org/10.5194/nhess-2020-360, 2020
Manuscript not accepted for further review
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Recurrent droughts are causing severe damages to tropical countries. We used gridded drought hazard and vulnerability data sets to map drought risk in four mesoscale rural tropical study regions in Latin America and Vietnam/Cambodia. Our risk maps clearly identified drought risk hotspots and displayed spatial and sector-wise distribution of hazard and vulnerability. As results were confirmed by local stakeholders our approach provides relevant information for drought managers in the Tropics.
Daniela Molinari, Anna Rita Scorzini, Chiara Arrighi, Francesca Carisi, Fabio Castelli, Alessio Domeneghetti, Alice Gallazzi, Marta Galliani, Frédéric Grelot, Patric Kellermann, Heidi Kreibich, Guilherme S. Mohor, Markus Mosimann, Stephanie Natho, Claire Richert, Kai Schroeter, Annegret H. Thieken, Andreas Paul Zischg, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 20, 2997–3017, https://doi.org/10.5194/nhess-20-2997-2020, https://doi.org/10.5194/nhess-20-2997-2020, 2020
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Flood risk management requires a realistic estimation of flood losses. However, the capacity of available flood damage models to depict real damages is questionable. With a joint effort of eight research groups, the objective of this study was to compare the performances of nine models for the estimation of flood damage to buildings. The comparison provided more objective insights on the transferability of the models and on the reliability of their estimations.
Marta Galliani, Daniela Molinari, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 20, 2937–2941, https://doi.org/10.5194/nhess-20-2937-2020, https://doi.org/10.5194/nhess-20-2937-2020, 2020
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INSYDE is a multivariable synthetic model for flood damage assessment of dwellings. The analysis and use of this model highlighted some weaknesses, linked to its complexity, that can undermine its usability and correct implementation. This study proposes a simplified version of INSYDE which maintains its multivariable and synthetic nature but has simpler mathematical formulations permitting an easier use and a direct analysis of the relation between damage and its explanatory variables.
Gemma Cremen and Maximilian J. Werner
Nat. Hazards Earth Syst. Sci., 20, 2701–2719, https://doi.org/10.5194/nhess-20-2701-2020, https://doi.org/10.5194/nhess-20-2701-2020, 2020
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We develop a framework that links the volume of hydraulic fracturing fluid injected during shale gas exploration with the likelihood that resulting seismicity causes a nuisance to nearby populations. We apply the framework to a shale gas site in England and find that the potential of a given injected volume to produce nuisance ground motions is especially sensitive to assumptions about the amount of seismic energy released during operations. The work can inform policy on shale gas exploration.
Erik C. van Berchum, Mathijs van Ledden, Jos S. Timmermans, Jan H. Kwakkel, and Sebastiaan N. Jonkman
Nat. Hazards Earth Syst. Sci., 20, 2633–2646, https://doi.org/10.5194/nhess-20-2633-2020, https://doi.org/10.5194/nhess-20-2633-2020, 2020
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Flood risk management is especially complicated in coastal cities. The complexity of multiple flood hazards in a rapidly changing urban environment leads to a situation with many different potential measures and future scenarios. This research demonstrates a new model capable of quickly simulating flood impact and comparing many different strategies. This is applied to the city of Beira, where it was able to provide new insights into the local flood risk and potential strategies.
Huaming Yu, Yuhang Shen, Ryan M. Kelly, Xin Qi, Kejian Wu, Songlin Li, Haiqing Yu, and Xianwen Bao
Nat. Hazards Earth Syst. Sci., 20, 2447–2462, https://doi.org/10.5194/nhess-20-2447-2020, https://doi.org/10.5194/nhess-20-2447-2020, 2020
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This study establishes an indicator system for social vulnerability evaluation of storm surges for coastal cities. The indicator system is applied to Shenzhen, China, and socioeconomic impacts are discovered in the results. Exposure, sensitivity, and resilience all show an increasing trend from 1986 to 2016, as resilience accounts for the largest increase and is connected to a decreasing social vulnerability trend.
Tzu-Ling Chen, Tzu-Yuan Chao, and Hao-Teng Cheng
Nat. Hazards Earth Syst. Sci., 20, 2433–2446, https://doi.org/10.5194/nhess-20-2433-2020, https://doi.org/10.5194/nhess-20-2433-2020, 2020
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Although disaster experience does indeed play an important role in helping people become aware of earthquake risk, disaster experience does not necessarily increase people’s willingness to retrofit their houses. People with higher education and certain occupations represent those who might have more available resources, and therefore they might become more willing to prepare for and respond to disasters.
Christian Huggel, Mark Carey, Adam Emmer, Holger Frey, Noah Walker-Crawford, and Ivo Wallimann-Helmer
Nat. Hazards Earth Syst. Sci., 20, 2175–2193, https://doi.org/10.5194/nhess-20-2175-2020, https://doi.org/10.5194/nhess-20-2175-2020, 2020
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There is increasing interest and need to analyze the contribution of anthropogenic climate change to negative impacts of climate change. We study the case of glacial lake Palcacocha in Peru, which poses a significant flood risk to the city of Huaraz. We found that greenhouse gas emissions; strong urbanization processes without appropriate land use planning; and social, cultural, political, and institutional factors all contribute to the existing flood risk.
Dina D'Ayala, Kai Wang, Yuan Yan, Helen Smith, Ashleigh Massam, Valeriya Filipova, and Joy Jacqueline Pereira
Nat. Hazards Earth Syst. Sci., 20, 2221–2241, https://doi.org/10.5194/nhess-20-2221-2020, https://doi.org/10.5194/nhess-20-2221-2020, 2020
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A localized empirical model consisting of multilevel parameters has been built to evaluate the flood vulnerability of residential buildings in a heritage community of Kuala Lumpur, Malaysia. A new economic loss model is developed to quantify the flood risk in terms of replacement cost, taking into account both specific vulnerability and a normalized depth–damage ratio function. The findings provide multiscale flood-resistant strategies for the protection of individual residential buildings.
Mark Bawa Malgwi, Sven Fuchs, and Margreth Keiler
Nat. Hazards Earth Syst. Sci., 20, 2067–2090, https://doi.org/10.5194/nhess-20-2067-2020, https://doi.org/10.5194/nhess-20-2067-2020, 2020
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Mitigation planning and economic loss assessment generally rely on flood damage prediction models. However, unavailability of empirical data has limited the use of such models in data-scarce areas. This paper combines the vulnerability indicator and damage grade approach to develop a conceptual framework for predicting building damage in data-scarce regions. The framework can be implemented using only expert knowledge and facilitates transferability of flood damage models in data-scarce areas.
Elena Petrova
Nat. Hazards Earth Syst. Sci., 20, 1969–1983, https://doi.org/10.5194/nhess-20-1969-2020, https://doi.org/10.5194/nhess-20-1969-2020, 2020
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Using the information of the author's database, contributions of natural hazards and adverse weather to occurrences of different types of transport accidents and traffic disruptions including road, railway, air, and water transport were revealed. Regional differences in the risk of transport accidents and traffic disruptions caused by adverse natural impacts between Russian federal regions were found. The resulting maps were created and analyzed. Regions most at risk were identified.
Christoph Scheingraber and Martin Käser
Nat. Hazards Earth Syst. Sci., 20, 1903–1918, https://doi.org/10.5194/nhess-20-1903-2020, https://doi.org/10.5194/nhess-20-1903-2020, 2020
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Probabilistic seismic risk analysis is widely used in the insurance industry to model losses to insured portfolios by earthquake events. Risk items are often only known to be located within an administrative geographical zone, but precise coordinates remain unknown to the modeler. We analyze spatial seismic hazard and loss rate variation inside administrative zones in western Indonesia. Building upon this, we present a novel framework for efficient treatment of portfolio location uncertainty.
Marco Broccardo, Arnaud Mignan, Francesco Grigoli, Dimitrios Karvounis, Antonio Pio Rinaldi, Laurentiu Danciu, Hannes Hofmann, Claus Milkereit, Torsten Dahm, Günter Zimmermann, Vala Hjörleifsdóttir, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 20, 1573–1593, https://doi.org/10.5194/nhess-20-1573-2020, https://doi.org/10.5194/nhess-20-1573-2020, 2020
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This study presents a first-of-its-kind pre-drilling probabilistic induced seismic risk analysis for the Geldinganes (Iceland) deep-hydraulic stimulation. The results of the assessment indicate that the individual risk within a radius of 2 km around the injection point is below the safety limits. However, the analysis is affected by a large variability due to the presence of pre-drilling deep uncertainties. This suggests the need for online risk updating during the stimulation.
Simon Horton, Stan Nowak, and Pascal Haegeli
Nat. Hazards Earth Syst. Sci., 20, 1557–1572, https://doi.org/10.5194/nhess-20-1557-2020, https://doi.org/10.5194/nhess-20-1557-2020, 2020
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Numeric snowpack models currently offer limited value to operational avalanche forecasters. To improve the relevance and interpretability of model data, we introduce and discuss visualization principles that map model data into visual representations that can inform avalanche hazard assessments.
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Short summary
Crop yields are routinely derived from meteorological variables, especially temperature. However, the primary water source for plant growth (soil moisture) is neglected. In this study, the predictability of maize yield is investigated using soil moisture or meteorological variables in Germany. The effects of soil moisture dominate those of temperature and are time-dependent. For example, comparatively moist soil conditions in June reduce crop yields, while in August they increase yields.
Crop yields are routinely derived from meteorological variables, especially temperature....
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