Articles | Volume 20, issue 1
https://doi.org/10.5194/nhess-20-243-2020
© Author(s) 2020. 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-20-243-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nature-based solutions for hydro-meteorological risk reduction: a state-of-the-art review of the research area
IHE Delft Institute for Water Education, Delft, the Netherlands
Department of Water Management, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Delft, the Netherlands
Zoran Vojinovic
IHE Delft Institute for Water Education, Delft, the Netherlands
College for Engineering, Mathematics and Physical Sciences,
University of Exeter, Exeter, UK
Silvana Di Sabatino
Department of Physics and Astronomy, University of Bologna, Bologna, Italy
Laura Sandra Leo
Department of Physics and Astronomy, University of Bologna, Bologna, Italy
Vittoria Capobianco
Norwegian Geotechnical Institute, Oslo, Norway
Amy M. P. Oen
Norwegian Geotechnical Institute, Oslo, Norway
Michael E. McClain
IHE Delft Institute for Water Education, Delft, the Netherlands
Department of Water Management, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Delft, the Netherlands
Elena Lopez-Gunn
Icatalist S.L., Madrid, Spain
Related authors
Dennis Wagenaar, Alex Curran, Mariano Balbi, Alok Bhardwaj, Robert Soden, Emir Hartato, Gizem Mestav Sarica, Laddaporn Ruangpan, Giuseppe Molinario, and David Lallemant
Nat. Hazards Earth Syst. Sci., 20, 1149–1161, https://doi.org/10.5194/nhess-20-1149-2020, https://doi.org/10.5194/nhess-20-1149-2020, 2020
Short summary
Short summary
This invited perspective paper addresses how machine learning may change flood risk and impact assessments. It goes through different modelling components and provides an analysis of how current assessments are done without machine learning, current applications of machine learning and potential future improvements. It is based on a 2-week-long intensive collaboration among experts from around the world during the Understanding Risk Field lab on urban flooding in June 2019.
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
Francesco Barbano, Erika Brattich, Carlo Cintolesi, Abdul Ghafoor Nizamani, Silvana Di Sabatino, Massimo Milelli, Esther E. M. Peerlings, Sjoerd Polder, Gert-Jan Steeneveld, and Antonio Parodi
Atmos. Meas. Tech., 17, 3255–3278, https://doi.org/10.5194/amt-17-3255-2024, https://doi.org/10.5194/amt-17-3255-2024, 2024
Short summary
Short summary
The characterization of the urban microclimate starts with atmospheric monitoring using a dense array of sensors to capture the spatial variations induced by the different morphology, land cover, and presence of vegetation. To provide a new sensor for this scope, this paper evaluates the outdoor performance of a commercial mobile sensor. The results mark the sensor's ability to capture the same atmospheric variability as the reference, making it a valid solution for atmospheric monitoring.
This article is included in the Encyclopedia of Geosciences
Ditsuhi Iskandaryan, Silvana Di Sabatino, Francisco Ramos, and Sergio Trilles
AGILE GIScience Ser., 3, 6, https://doi.org/10.5194/agile-giss-3-6-2022, https://doi.org/10.5194/agile-giss-3-6-2022, 2022
Laura Tositti, Erika Brattich, Claudio Cassardo, Pietro Morozzi, Alessandro Bracci, Angela Marinoni, Silvana Di Sabatino, Federico Porcù, and Alessandro Zappi
Atmos. Chem. Phys., 22, 4047–4073, https://doi.org/10.5194/acp-22-4047-2022, https://doi.org/10.5194/acp-22-4047-2022, 2022
Short summary
Short summary
We present a thorough investigation of an anomalous transport of mineral dust over a region renowned for excess airborne particulate matter, the Italian Po Valley, which occurred in late March 2021. Both the origin of this dust outbreak, which was localized in central Asia (i.e., the so-called Aralkum Desert), and the upstream synoptic conditions, investigated here in extreme detail using multiple integrated observations including in situ measurements and remote sensing, were atypical.
This article is included in the Encyclopedia of Geosciences
Yared Abayneh Abebe, Amineh Ghorbani, Igor Nikolic, Natasa Manojlovic, Angelika Gruhn, and Zoran Vojinovic
Hydrol. Earth Syst. Sci., 24, 5329–5354, https://doi.org/10.5194/hess-24-5329-2020, https://doi.org/10.5194/hess-24-5329-2020, 2020
Short summary
Short summary
The paper presents a coupled agent-based and flood model for Hamburg, Germany. It explores residents’ adaptation behaviour in relation to flood event scenarios, economic incentives and shared and individual strategies. We found that unique trajectories of adaptation behaviour emerge from different flood event series. Providing subsidies improves adaptation behaviour in the long run. The coupled modelling technique allows the role of individual measures in flood risk management to be examined.
This article is included in the Encyclopedia of Geosciences
Arianna Valmassoi, Jimy Dudhia, Silvana Di Sabatino, and Francesco Pilla
Geosci. Model Dev., 13, 3179–3201, https://doi.org/10.5194/gmd-13-3179-2020, https://doi.org/10.5194/gmd-13-3179-2020, 2020
Short summary
Short summary
Irrigation affects the atmosphere and models are required to understand its full impact. However, there is no agreed procedure to describe irrigation within regional models. The present study introduces three new methods to integrate this process into the models and validates it for the Po Valley in northern Italy. All the tests done show that the results are improved with the new irrigation techniques when compared against some measures (e.g., temperature, potential evapotranspiration).
This article is included in the Encyclopedia of Geosciences
Dennis Wagenaar, Alex Curran, Mariano Balbi, Alok Bhardwaj, Robert Soden, Emir Hartato, Gizem Mestav Sarica, Laddaporn Ruangpan, Giuseppe Molinario, and David Lallemant
Nat. Hazards Earth Syst. Sci., 20, 1149–1161, https://doi.org/10.5194/nhess-20-1149-2020, https://doi.org/10.5194/nhess-20-1149-2020, 2020
Short summary
Short summary
This invited perspective paper addresses how machine learning may change flood risk and impact assessments. It goes through different modelling components and provides an analysis of how current assessments are done without machine learning, current applications of machine learning and potential future improvements. It is based on a 2-week-long intensive collaboration among experts from around the world during the Understanding Risk Field lab on urban flooding in June 2019.
This article is included in the Encyclopedia of Geosciences
Related subject area
Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
An impact-chain-based exploration of multi-hazard vulnerability dynamics: the multi-hazard of floods and the COVID-19 pandemic in Romania
Always on my mind: indications of post-traumatic stress disorder among those affected by the 2021 flood event in the Ahr valley, Germany
Earthquake insurance in Iran: solvency of local insurers in light of current market practices
Micro-business participation in collective flood adaptation: lessons from scenario-based analysis in Ho Chi Minh City, Vietnam
Brief communication: Storm Daniel flood impact in Greece in 2023: mapping crop and livestock exposure from synthetic-aperture radar (SAR)
Risk reduction through managed retreat? Investigating enabling conditions and assessing resettlement effects on community resilience in Metro Manila
Brief communication: Lessons learned and experiences gained from building up a global survey on societal resilience to changing droughts
Regional seismic risk assessment based on ground conditions in Uzbekistan
Unveiling transboundary challenges in river flood risk management: learning from the Ciliwung River basin
Quantitative study of storm surge risk assessment in an undeveloped coastal area of China based on deep learning and geographic information system techniques: a case study of Double Moon Bay
Multisectoral analysis of drought impacts and management responses to the 2008–2015 record drought in the Colorado Basin, Texas
Simulating multi-hazard event sets for life cycle consequence analysis
Analysis of the effects of urban micro-scale vulnerabilities on tsunami evacuation using an agent-based model – case study in the city of Iquique, Chile
Urban growth and spatial segregation increase disaster risk: Lessons learned from the 2023 disaster on the North Coast of São Paulo, Brazil
Factors of influence on flood risk perceptions related to Hurricane Dorian: an assessment of heuristics, time dynamics, and accuracy of risk perceptions
Where to start with climate-smart forest management? Climatic risk for forest-based mitigation
Current status of water-related planning for climate change adaptation in the Spree River basin, Germany
Anticipating a risky future: long short-term memory (LSTM) models for spatiotemporal extrapolation of population data in areas prone to earthquakes and tsunamis in Lima, Peru
A new regionally consistent exposure database for Central Asia: population and residential buildings
Study on seismic risk assessment model of water supply systems in mainland China
Mapping current and future flood exposure using a 5 m flood model and climate change projections
Brief communication: On the environmental impacts of the 2023 floods in Emilia-Romagna (Italy)
A regional-scale approach to assessing non-residential building, transportation and cropland exposure in Central Asia
Towards a global impact-based forecasting model for tropical cyclones
A Guide of Indicators Creation for Critical Infrastructures Resilience. Based on a Multi-criteria Framework Focusing on Optimisation Actions for Road Transport System
Identifying vulnerable populations in urban society: a case study in a flood-prone district of Wuhan, China
An assessment of potential improvements in social capital, risk awareness, and preparedness from digital technologies
Spatial accessibility of emergency medical services under inclement weather: a case study in Beijing, China
Review article: Current approaches and critical issues in multi-risk recovery planning of urban areas exposed to natural hazards
Simulating the effects of sea level rise and soil salinization on adaptation and migration decisions in Mozambique
Estimating emergency costs for earthquakes and floods in Central Asia based on modelled losses
Compound flood impacts from Hurricane Sandy on New York City in climate-driven storylines
Regional-scale landslide risk assessment in Central Asia
Cost estimation for the monitoring instrumentation of landslide early warning systems
The role of response efficacy and self-efficacy in disaster preparedness actions for vulnerable households
Scientists as storytellers: the explanatory power of stories told about environmental crises
Dynamic Response of Pile-Slab Retaining Wall Structure under Rockfall Impact
Back analysis of a building collapse under snow and rain loads in a Mediterranean area
Between global risk reduction goals, scientific-technical capabilities and local realities: a novel modular approach for multi-risk assessment
Assessment of building damage and risk under extreme flood scenarios in Shanghai
Mangrove ecosystem properties regulate high water levels in a river delta
Analysis of flood warning and evacuation efficiency by comparing damage and life-loss estimates with real consequences related to the São Francisco tailings dam failure in Brazil
Development of a regionally consistent and fully probabilistic earthquake risk model for Central Asia
Criteria-based visualization design for hazard maps
Low-regret climate change adaptation in coastal megacities – evaluating large-scale flood protection and small-scale rainwater detention measures for Ho Chi Minh City, Vietnam
Modeling compound flood risk and risk reduction using a globally applicable framework: a pilot in the Sofala province of Mozambique
Scenario-based multi-risk assessment from existing single-hazard vulnerability models. An application to consecutive earthquakes and tsunamis in Lima, Peru
Using machine learning algorithms to identify predictors of social vulnerability in the event of a hazard: Istanbul case study
Large-scale risk assessment on snow avalanche hazard in alpine regions
Probabilistic and machine learning methods for uncertainty quantification in power outage prediction due to extreme events
Andra-Cosmina Albulescu and Iuliana Armaș
Nat. Hazards Earth Syst. Sci., 24, 2895–2922, https://doi.org/10.5194/nhess-24-2895-2024, https://doi.org/10.5194/nhess-24-2895-2024, 2024
Short summary
Short summary
This study delves into the dynamics of vulnerability within a multi-hazard context, proposing an enhanced impact-chain-based framework that analyses the augmentation of vulnerability. The case study refers to the flood events and the COVID-19 pandemic that affected Romania (2020–2021). The impact chain shows that (1) the unforeseen implications of impacts, (2) the wrongful action of adaptation options, and (3) inaction can form the basis for increased vulnerability.
This article is included in the Encyclopedia of Geosciences
Marie-Luise Zenker, Philip Bubeck, and Annegret H. Thieken
Nat. Hazards Earth Syst. Sci., 24, 2837–2856, https://doi.org/10.5194/nhess-24-2837-2024, https://doi.org/10.5194/nhess-24-2837-2024, 2024
Short summary
Short summary
Despite the visible flood damage, mental health is a growing concern. Yet, there is limited data in Germany on mental health impacts after floods. A survey in a heavily affected region revealed that 28 % of respondents showed signs of post-traumatic stress disorder 1 year later. Risk factors include gender, serious injury or illness due to flooding, and feeling left alone to cope with impacts. The study highlights the need for tailored mental health support for flood-affected populations.
This article is included in the Encyclopedia of Geosciences
Mohsen Ghafory-Ashtiany and Hooman Motamed
Nat. Hazards Earth Syst. Sci., 24, 2707–2726, https://doi.org/10.5194/nhess-24-2707-2024, https://doi.org/10.5194/nhess-24-2707-2024, 2024
Short summary
Short summary
Iranian insurers have been offering earthquake coverage since the 1990s. However, despite international best practices, they still do not use modern methods for risk pricing and management. As such, they seem to be accumulating seismic risk over time. This paper examines the viability of this market in Iran by comparing the local market practices with international best practices in earthquake risk pricing (catastrophe modeling) and insurance risk management (European Solvency II regime).
This article is included in the Encyclopedia of Geosciences
Javier Revilla Diez, Roxana Leitold, Van Tran, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 24, 2425–2440, https://doi.org/10.5194/nhess-24-2425-2024, https://doi.org/10.5194/nhess-24-2425-2024, 2024
Short summary
Short summary
Micro-businesses, often overlooked in adaptation research, show surprising willingness to contribute to collective adaptation despite limited finances and local support. Based on a study in Ho Chi Minh City in Vietnam, approximately 70 % are ready for awareness campaigns, and 39 % would provide financial support if costs were shared. These findings underscore the need for increased involvement of micro-businesses in local adaptation plans to enhance collective adaptive capacity.
This article is included in the Encyclopedia of Geosciences
Kang He, Qing Yang, Xinyi Shen, Elias Dimitriou, Angeliki Mentzafou, Christina Papadaki, Maria Stoumboudi, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 24, 2375–2382, https://doi.org/10.5194/nhess-24-2375-2024, https://doi.org/10.5194/nhess-24-2375-2024, 2024
Short summary
Short summary
About 820 km2 of agricultural land was inundated in central Greece due to Storm Daniel. A detailed analysis revealed that the crop most affected by the flooding was cotton; the inundated area of more than 282 km2 comprised ~ 30 % of the total area planted with cotton in central Greece. In terms of livestock, we estimate that more than 14 000 ornithoids and 21 500 sheep and goats were affected. Consequences for agriculture and animal husbandry in Greece are expected to be severe.
This article is included in the Encyclopedia of Geosciences
Hannes Lauer, Carmeli Marie C. Chaves, Evelyn Lorenzo, Sonia Islam, and Jörn Birkmann
Nat. Hazards Earth Syst. Sci., 24, 2243–2261, https://doi.org/10.5194/nhess-24-2243-2024, https://doi.org/10.5194/nhess-24-2243-2024, 2024
Short summary
Short summary
In many urban areas, people face high exposure to hazards. Resettling them to safer locations becomes a major strategy, not least because of climate change. This paper dives into the success factors of government-led resettlement in Manila and finds surprising results which challenge the usual narrative and fuel the conversation on resettlement as an adaptation strategy. Contrary to expectations, the location – whether urban or rural – of the new home is less important than safety from floods.
This article is included in the Encyclopedia of Geosciences
Marina Batalini de Macedo, Marcos Roberto Benso, Karina Simone Sass, Eduardo Mario Mendiondo, Greicelene Jesus da Silva, Pedro Gustavo Câmara da Silva, Elisabeth Shrimpton, Tanaya Sarmah, Da Huo, Michael Jacobson, Abdullah Konak, Nazmiye Balta-Ozkan, and Adelaide Cassia Nardocci
Nat. Hazards Earth Syst. Sci., 24, 2165–2173, https://doi.org/10.5194/nhess-24-2165-2024, https://doi.org/10.5194/nhess-24-2165-2024, 2024
Short summary
Short summary
With climate change, societies increasingly need to adapt to deal with more severe droughts and the impacts they can have on food production. To make better adaptation decisions, drought resilience indicators can be used. To build these indicators, surveys with experts can be done. However, designing surveys is a costly process that can influence how experts respond. In this communication, we aim to deal with the challenges encountered in the development of surveys to help further research.
This article is included in the Encyclopedia of Geosciences
Vakhitkhan Alikhanovich Ismailov, Sharofiddin Ismatullayevich Yodgorov, Akhror Sabriddinovich Khusomiddinov, Eldor Makhmadiyorovich Yadigarov, Bekzod Uktamovich Aktamov, and Shuhrat Bakhtiyorovich Avazov
Nat. Hazards Earth Syst. Sci., 24, 2133–2146, https://doi.org/10.5194/nhess-24-2133-2024, https://doi.org/10.5194/nhess-24-2133-2024, 2024
Short summary
Short summary
For the basis of seismic risk assessment, maps of seismic intensity increment and an improved map of seismic hazard have been developed, taking into account the engineering-geological conditions of the territory of Uzbekistan and the seismic characteristics of soils. For seismic risk map development, databases were created based on geographic information system platforms, allowing us to systematize and evaluate the regional distribution of information.
This article is included in the Encyclopedia of Geosciences
Harkunti Pertiwi Rahayu, Khonsa Indana Zulfa, Dewi Nurhasanah, Richard Haigh, Dilanthi Amaratunga, and In In Wahdiny
Nat. Hazards Earth Syst. Sci., 24, 2045–2064, https://doi.org/10.5194/nhess-24-2045-2024, https://doi.org/10.5194/nhess-24-2045-2024, 2024
Short summary
Short summary
Transboundary flood risk management in the Ciliwung River basin is placed in a broader context of disaster management, environmental science, and governance. This is particularly relevant for areas of research involving the management of shared water resources, the impact of regional development on flood risk, and strategies to reduce economic losses from flooding.
This article is included in the Encyclopedia of Geosciences
Lichen Yu, Hao Qin, Shining Huang, Wei Wei, Haoyu Jiang, and Lin Mu
Nat. Hazards Earth Syst. Sci., 24, 2003–2024, https://doi.org/10.5194/nhess-24-2003-2024, https://doi.org/10.5194/nhess-24-2003-2024, 2024
Short summary
Short summary
This paper proposes a quantitative storm surge risk assessment method for data-deficient regions. A coupled model is used to simulate five storm surge scenarios. Deep learning is used to extract building footprints. Economic losses are calculated by combining adjusted depth–damage functions with inundation simulation results. Zoning maps illustrate risk levels based on economic losses, aiding in disaster prevention measures to reduce losses in coastal areas.
This article is included in the Encyclopedia of Geosciences
Stephen B. Ferencz, Ning Sun, Sean W. D. Turner, Brian A. Smith, and Jennie S. Rice
Nat. Hazards Earth Syst. Sci., 24, 1871–1896, https://doi.org/10.5194/nhess-24-1871-2024, https://doi.org/10.5194/nhess-24-1871-2024, 2024
Short summary
Short summary
Drought has long posed an existential threat to society. Population growth, economic development, and the potential for more extreme and prolonged droughts due to climate change pose significant water security challenges. Better understanding the impacts and adaptive responses resulting from extreme drought can aid adaptive planning. The 2008–2015 record drought in the Colorado Basin, Texas, United States, is used as a case study to assess impacts and responses to severe drought.
This article is included in the Encyclopedia of Geosciences
Leandro Iannacone, Kenneth Otárola, Roberto Gentile, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 24, 1721–1740, https://doi.org/10.5194/nhess-24-1721-2024, https://doi.org/10.5194/nhess-24-1721-2024, 2024
Short summary
Short summary
The paper presents a review of the available classifications for hazard interactions in a multi-hazard context, and it incorporates such classifications from a modeling perspective. The outcome is a sequential Monte Carlo approach enabling efficient simulation of multi-hazard event sets (i.e., sequences of events throughout the life cycle). These event sets can then be integrated into frameworks for the quantification of consequences for the purposes of life cycle consequence (LCCon) analysis.
This article is included in the Encyclopedia of Geosciences
Rodrigo Cienfuegos, Gonzalo Álvarez, Jorge León, Alejandro Urrutia, and Sebastián Castro
Nat. Hazards Earth Syst. Sci., 24, 1485–1500, https://doi.org/10.5194/nhess-24-1485-2024, https://doi.org/10.5194/nhess-24-1485-2024, 2024
Short summary
Short summary
This study carries out a detailed analysis of possible tsunami evacuation scenarios in the city of Iquique in Chile. Evacuation modeling and tsunami modeling are integrated, allowing for an estimation of the potential number of people that the inundation may reach under different scenarios by emulating the dynamics and behavior of the population and their decision-making regarding the starting time of the evacuation.
This article is included in the Encyclopedia of Geosciences
Cassiano Bastos Moroz and Annegret H. Thieken
EGUsphere, https://doi.org/10.5194/egusphere-2024-1188, https://doi.org/10.5194/egusphere-2024-1188, 2024
Short summary
Short summary
This paper evaluates the influence of urban processes on the impacts of the 2023 disaster that hit the North Coast of São Paulo, Brazil. The disaster impacts were largely associated with a fast urban expansion over the last three decades, with a recent occupation of risky areas. Also, lower-income neighborhoods were considerably more severely impacted, which evidences their increased exposure to such events. These results highlight the strong association between disaster risk and urban poverty.
This article is included in the Encyclopedia of Geosciences
Laurine A. de Wolf, Peter J. Robinson, W. J. Wouter Botzen, Toon Haer, Jantsje M. Mol, and Jeffrey Czajkowski
Nat. Hazards Earth Syst. Sci., 24, 1303–1318, https://doi.org/10.5194/nhess-24-1303-2024, https://doi.org/10.5194/nhess-24-1303-2024, 2024
Short summary
Short summary
An understanding of flood risk perceptions may aid in improving flood risk communication. We conducted a survey among 871 coastal residents in Florida who were threatened to be flooded by Hurricane Dorian. Part of the original sample was resurveyed after Dorian failed to make landfall to investigate changes in risk perception. We find a strong influence of previous flood experience and social norms on flood risk perceptions. Furthermore, flood risk perceptions declined after the near-miss event.
This article is included in the Encyclopedia of Geosciences
Natalie Piazza, Luca Malanchini, Edoardo Nevola, and Giorgio Vacchiano
EGUsphere, https://doi.org/10.5194/egusphere-2024-758, https://doi.org/10.5194/egusphere-2024-758, 2024
Short summary
Short summary
Natural disturbances will increase in the future endangering our forests and their provision of wood, protection against natural hazards and carbon sequestration. Considering the hazard to forests by wind or fire damage together with vulnerability of carbon, it is possible to prioritize high-risk forest stands. In this study we propose a new methodological approach helping with decision-making process for climate-smart forest management.
This article is included in the Encyclopedia of Geosciences
Saskia Arndt and Stefan Heiland
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-59, https://doi.org/10.5194/nhess-2024-59, 2024
Revised manuscript under review for NHESS
Short summary
Short summary
This study provides an overview of the current status of climate change adaptation in water management, spatial and landscape planning in the Spree River basin. Only 39 % of 28 plans analysed specify objectives and measures for adaptation to climate change. To fill this planning gap, more frequent updates of plans, a stronger focus on multifunctional measures and the adaptation of best practice examples for systematic integration of climate change impacts and adaptation are needed.
This article is included in the Encyclopedia of Geosciences
Christian Geiß, Jana Maier, Emily So, Elisabeth Schoepfer, Sven Harig, Juan Camilo Gómez Zapata, and Yue Zhu
Nat. Hazards Earth Syst. Sci., 24, 1051–1064, https://doi.org/10.5194/nhess-24-1051-2024, https://doi.org/10.5194/nhess-24-1051-2024, 2024
Short summary
Short summary
We establish a model of future geospatial population distributions to quantify the number of people living in earthquake-prone and tsunami-prone areas of Lima and Callao, Peru, for the year 2035. Areas of high earthquake intensity will experience a population growth of almost 30 %. The population in the tsunami inundation area is estimated to grow by more than 60 %. Uncovering those relations can help urban planners and policymakers to develop effective risk mitigation strategies.
This article is included in the Encyclopedia of Geosciences
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Vakhitkhan Ismailov, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Faga
Nat. Hazards Earth Syst. Sci., 24, 929–945, https://doi.org/10.5194/nhess-24-929-2024, https://doi.org/10.5194/nhess-24-929-2024, 2024
Short summary
Short summary
Central Asia is highly exposed to multiple hazards, including earthquakes, floods and landslides, for which risk reduction strategies are currently under development. We provide a regional-scale database of assets at risk, including population and residential buildings, based on existing information and recent data collected for each Central Asian country. The population and number of buildings are also estimated for the year 2080 to support the definition of disaster risk reduction strategies.
This article is included in the Encyclopedia of Geosciences
Tianyang Yu, Banghua Lu, Hui Jiang, and Zhi Liu
Nat. Hazards Earth Syst. Sci., 24, 803–822, https://doi.org/10.5194/nhess-24-803-2024, https://doi.org/10.5194/nhess-24-803-2024, 2024
Short summary
Short summary
A basic database for seismic risk assessment of 720 urban water supply systems in mainland China is established. The parameters of the seismic risk curves of 720 cities are calculated. The seismic fragility curves of various facilities in the water supply system are given based on the logarithmic normal distribution model. The expected seismic loss and the expected loss rate index of 720 urban water supply systems in mainland China in the medium and long term are given.
This article is included in the Encyclopedia of Geosciences
Connor Darlington, Jonathan Raikes, Daniel Henstra, Jason Thistlethwaite, and Emma K. Raven
Nat. Hazards Earth Syst. Sci., 24, 699–714, https://doi.org/10.5194/nhess-24-699-2024, https://doi.org/10.5194/nhess-24-699-2024, 2024
Short summary
Short summary
The impacts of climate change on local floods require precise maps that clearly demarcate changes to flood exposure; however, most maps lack important considerations that reduce their utility in policy and decision-making. This article presents a new approach to identifying current and projected flood exposure using a 5 m model. The results highlight advancements in the mapping of flood exposure with implications for flood risk management.
This article is included in the Encyclopedia of Geosciences
Chiara Arrighi and Alessio Domeneghetti
Nat. Hazards Earth Syst. Sci., 24, 673–679, https://doi.org/10.5194/nhess-24-673-2024, https://doi.org/10.5194/nhess-24-673-2024, 2024
Short summary
Short summary
In this communication, we reflect on environmental flood impacts by analysing the reported environmental consequences of the 2023 Emilia-Romagna floods. The most frequently reported damage involves water resources and water-related ecosystems. Indirect effects in time and space, intrinsic recovery capacity, cascade impacts on socio-economic systems, and the lack of established monitoring activities appear to be the most challenging aspects for future research.
This article is included in the Encyclopedia of Geosciences
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Zukhritdin Ergashev, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Fagà
Nat. Hazards Earth Syst. Sci., 24, 355–373, https://doi.org/10.5194/nhess-24-355-2024, https://doi.org/10.5194/nhess-24-355-2024, 2024
Short summary
Short summary
Central Asia is prone to multiple hazards such as floods, landslides and earthquakes, which can affect a wide range of assets at risk. We develop the first regionally consistent database of assets at risk for non-residential buildings, transportation and croplands in Central Asia. The database combines global and regional data sources and country-based information and supports the development of regional-scale disaster risk reduction strategies for the Central Asia region.
This article is included in the Encyclopedia of Geosciences
Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, and Monica L. Turner
Nat. Hazards Earth Syst. Sci., 24, 309–329, https://doi.org/10.5194/nhess-24-309-2024, https://doi.org/10.5194/nhess-24-309-2024, 2024
Short summary
Short summary
We improve an existing impact forecasting model for the Philippines by transforming the target variable (percentage of damaged houses) to a fine grid, using only features which are globally available. We show that our two-stage model conserves the performance of the original and even has the potential to introduce savings in anticipatory action resources. Such model generalizability is important in increasing the applicability of such tools around the world.
This article is included in the Encyclopedia of Geosciences
Zhuyu Yang, Bruno Barroca, Ahmed Mebarki, Katia Laffréchine, Hélène Dolidon, and Lionel Lilas
EGUsphere, https://doi.org/10.5194/egusphere-2024-204, https://doi.org/10.5194/egusphere-2024-204, 2024
Short summary
Short summary
Operationalision of “resilience” will be a major milestone contributing to hazard management for Critical infrastructures (CIs). To integrate resilience assessment into operational management, this study designs a step-by-step guide that enables users to create specific indicators to suit their particular situation. The assessment results can assist CIs managers in their decision-making as it is based on a multi-criteria framework that considers the various interests of stakeholders.
This article is included in the Encyclopedia of Geosciences
Jia Xu, Makoto Takahashi, and Weifu Li
Nat. Hazards Earth Syst. Sci., 24, 179–197, https://doi.org/10.5194/nhess-24-179-2024, https://doi.org/10.5194/nhess-24-179-2024, 2024
Short summary
Short summary
Through the development of micro-individual social vulnerability indicators and cluster analysis, this study assessed the level of social vulnerability of 599 residents from 11 communities in the Hongshan District of Wuhan. The findings reveal three levels of social vulnerability: high, medium, and low. Quantitative assessments offer specific comparisons between distinct units, and the results indicate that different types of communities have significant differences in social vulnerability.
This article is included in the Encyclopedia of Geosciences
Tommaso Piseddu, Mathilda Englund, and Karina Barquet
Nat. Hazards Earth Syst. Sci., 24, 145–161, https://doi.org/10.5194/nhess-24-145-2024, https://doi.org/10.5194/nhess-24-145-2024, 2024
Short summary
Short summary
Contributions to social capital, risk awareness, and preparedness constitute the parameters to test applications in disaster risk management. We propose an evaluation of four of these: mobile positioning data, social media crowdsourcing, drones, and satellite imaging. The analysis grants the opportunity to investigate how different methods to evaluate surveys' results may influence final preferences. We find that the different assumptions on which these methods rely deliver diverging results.
This article is included in the Encyclopedia of Geosciences
Yuting Zhang, Kai Liu, Xiaoyong Ni, Ming Wang, Jianchun Zheng, Mengting Liu, and Dapeng Yu
Nat. Hazards Earth Syst. Sci., 24, 63–77, https://doi.org/10.5194/nhess-24-63-2024, https://doi.org/10.5194/nhess-24-63-2024, 2024
Short summary
Short summary
This article is aimed at developing a method to quantify the influence of inclement weather on the accessibility of emergency medical services (EMSs) in Beijing, China, and identifying the vulnerable areas that could not get timely EMSs under inclement weather. We found that inclement weather could reduce the accessibility of EMSs by up to 40%. Furthermore, towns with lower baseline EMSs accessibility are more vulnerable when inclement weather occurs.
This article is included in the Encyclopedia of Geosciences
Soheil Mohammadi, Silvia De Angeli, Giorgio Boni, Francesca Pirlone, and Serena Cattari
Nat. Hazards Earth Syst. Sci., 24, 79–107, https://doi.org/10.5194/nhess-24-79-2024, https://doi.org/10.5194/nhess-24-79-2024, 2024
Short summary
Short summary
This paper critically reviews disaster recovery literature from a multi-risk perspective. Identified key challenges encompass the lack of approaches integrating physical reconstruction and socio-economic recovery, the neglect of multi-risk interactions, the limited exploration of recovery from a pre-disaster planning perspective, and the low consideration of disaster recovery as a non-linear process in which communities need change over time.
This article is included in the Encyclopedia of Geosciences
Kushagra Pandey, Jens A. de Bruijn, Hans de Moel, Wouter Botzen, and Jeroen C. J. H. Aerts
EGUsphere, https://doi.org/10.5194/egusphere-2024-17, https://doi.org/10.5194/egusphere-2024-17, 2024
Short summary
Short summary
SLR will lead to more frequent flooding, and salt intrusion in coastal areas will be a major concern for farming households that are highly dependent on the soil quality for their livelihoods. In this study, we simulated the risk of SLR and flooding to coastal farmers by assessing salt intrusion risk and flood damage to buildings.
This article is included in the Encyclopedia of Geosciences
Emilio Berny, Carlos Avelar, Mario A. Salgado-Gálvez, and Mario Ordaz
Nat. Hazards Earth Syst. Sci., 24, 53–62, https://doi.org/10.5194/nhess-24-53-2024, https://doi.org/10.5194/nhess-24-53-2024, 2024
Short summary
Short summary
This paper presents a methodology to estimate the total emergency costs based on modelled damages for earthquakes and floods, together with the demographic and building characteristics of the study area. The methodology has been applied in five countries in central Asia, the first time that these estimates are made available for the study area and are intended to be useful for regional and local stakeholders and decision makers.
This article is included in the Encyclopedia of Geosciences
Henrique M. D. Goulart, Irene Benito Lazaro, Linda van Garderen, Karin van der Wiel, Dewi Le Bars, Elco Koks, and Bart van den Hurk
Nat. Hazards Earth Syst. Sci., 24, 29–45, https://doi.org/10.5194/nhess-24-29-2024, https://doi.org/10.5194/nhess-24-29-2024, 2024
Short summary
Short summary
We explore how Hurricane Sandy (2012) could flood New York City under different scenarios, including climate change and internal variability. We find that sea level rise can quadruple coastal flood volumes, while changes in Sandy's landfall location can double flood volumes. Our results show the need for diverse scenarios that include climate change and internal variability and for integrating climate information into a modelling framework, offering insights for high-impact event assessments.
This article is included in the Encyclopedia of Geosciences
Francesco Caleca, Chiara Scaini, William Frodella, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 24, 13–27, https://doi.org/10.5194/nhess-24-13-2024, https://doi.org/10.5194/nhess-24-13-2024, 2024
Short summary
Short summary
Landslide risk analysis is a powerful tool because it allows us to identify where physical and economic losses could occur due to a landslide event. The purpose of our work was to provide the first regional-scale analysis of landslide risk for central Asia, and it represents an advanced step in the field of risk analysis for very large areas. Our findings show, per square kilometer, a total risk of about USD 3.9 billion and a mean risk of USD 0.6 million.
This article is included in the Encyclopedia of Geosciences
Marta Sapena, Moritz Gamperl, Marlene Kühnl, Carolina Garcia-Londoño, John Singer, and Hannes Taubenböck
Nat. Hazards Earth Syst. Sci., 23, 3913–3930, https://doi.org/10.5194/nhess-23-3913-2023, https://doi.org/10.5194/nhess-23-3913-2023, 2023
Short summary
Short summary
A new approach for the deployment of landslide early warning systems (LEWSs) is proposed. We combine data-driven landslide susceptibility mapping and population maps to identify exposed locations. We estimate the cost of monitoring sensors and demonstrate that LEWSs could be installed with a budget ranging from EUR 5 to EUR 41 per person in Medellín, Colombia. We provide recommendations for stakeholders and outline the challenges and opportunities for successful LEWS implementation.
This article is included in the Encyclopedia of Geosciences
Dong Qiu, Binglin Lv, Yuepeng Cui, and Zexiong Zhan
Nat. Hazards Earth Syst. Sci., 23, 3789–3803, https://doi.org/10.5194/nhess-23-3789-2023, https://doi.org/10.5194/nhess-23-3789-2023, 2023
Short summary
Short summary
This paper divides preparedness behavior into minimal and adequate preparedness. In addition to studying the main factors that promote families' disaster preparedness, we also study the moderating effects of response efficacy and self-efficacy on preparedness actions by vulnerable families. Based on the findings of this study, policymakers can target interventions and programs that can be designed to remedy the current lack of disaster preparedness education for vulnerable families.
This article is included in the Encyclopedia of Geosciences
Jenni Barclay, Richie Robertson, and M. Teresa Armijos
Nat. Hazards Earth Syst. Sci., 23, 3603–3615, https://doi.org/10.5194/nhess-23-3603-2023, https://doi.org/10.5194/nhess-23-3603-2023, 2023
Short summary
Short summary
Stories create avenues for sharing the meanings and social implications of scientific knowledge. We explore their value when told between scientists during a volcanic eruption. They are important vehicles for understanding how risk is generated during volcanic eruptions and create new knowledge about these interactions. Stories explore how risk is negotiated when scientific information is ambiguous or uncertain, identify cause and effect, and rationalize the emotional intensity of a crisis.
This article is included in the Encyclopedia of Geosciences
Peng Zou, Gang Luo, Yuzhang Bi, and Hanhua Xu
EGUsphere, https://doi.org/10.5194/egusphere-2023-2715, https://doi.org/10.5194/egusphere-2023-2715, 2023
Short summary
Short summary
This manuscript addresses to numerically analyze the dynamic responses and damage mechanism of the pile-slab retaining wall under the rockfall impacts by employing the refined finite element model. The results provide insights into structure dynamic response analysis of the PSRW and serve as a benchmark for further research.
This article is included in the Encyclopedia of Geosciences
Isabelle Ousset, Guillaume Evin, Damien Raynaud, and Thierry Faug
Nat. Hazards Earth Syst. Sci., 23, 3509–3523, https://doi.org/10.5194/nhess-23-3509-2023, https://doi.org/10.5194/nhess-23-3509-2023, 2023
Short summary
Short summary
This paper deals with an exceptional snow and rain event in a Mediterranean region of France which is usually not prone to heavy snowfall and its consequences on a particular building that collapsed completely. Independent analyses of the meteorological episode are carried out, and the response of the building to different snow and rain loads is confronted to identify the main critical factors that led to the collapse.
This article is included in the Encyclopedia of Geosciences
Elisabeth Schoepfer, Jörn Lauterjung, Torsten Riedlinger, Harald Spahn, Juan Camilo Gómez Zapata, Christian D. León, Hugo Rosero-Velásquez, Sven Harig, Michael Langbein, Nils Brinckmann, Günter Strunz, Christian Geiß, and Hannes Taubenböck
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-142, https://doi.org/10.5194/nhess-2023-142, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
In this paper, we provide a brief introduction on the paradigm shift from managing disasters to managing risks, followed by single-hazard to multi-hazard risk assessment. We highlight four global strategies that address disaster risk reduction and call for action. Subsequently, we present a conceptual approach for multi-risk assessment which was designed to serve potential users like disaster risk managers, urban planners or operators of critical infrastructures to increase their capabilities.
This article is included in the Encyclopedia of Geosciences
Jiachang Tu, Jiahong Wen, Liang Emlyn Yang, Andrea Reimuth, Stephen S. Young, Min Zhang, Luyang Wang, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 23, 3247–3260, https://doi.org/10.5194/nhess-23-3247-2023, https://doi.org/10.5194/nhess-23-3247-2023, 2023
Short summary
Short summary
This paper evaluates the flood risk and the resulting patterns in buildings following low-probability, high-impact flood scenarios by a risk analysis chain in Shanghai. The results provide a benchmark and also a clear future for buildings with respect to flood risks in Shanghai. This study links directly to disaster risk management, e.g., the Shanghai Master Plan. We also discussed different potential adaptation options for flood risk management.
This article is included in the Encyclopedia of Geosciences
Ignace Pelckmans, Jean-Philippe Belliard, Luis E. Dominguez-Granda, Cornelis Slobbe, Stijn Temmerman, and Olivier Gourgue
Nat. Hazards Earth Syst. Sci., 23, 3169–3183, https://doi.org/10.5194/nhess-23-3169-2023, https://doi.org/10.5194/nhess-23-3169-2023, 2023
Short summary
Short summary
Mangroves are increasingly recognized as a coastal protection against extreme sea levels. Their effectiveness in doing so, however, is still poorly understood, as mangroves are typically located in tropical countries where data on mangrove vegetation and topography properties are often scarce. Through a modelling study, we identified the degree of channelization and the mangrove forest floor topography as the key properties for regulating high water levels in a tropical delta.
This article is included in the Encyclopedia of Geosciences
André Felipe Rocha Silva and Julian Cardoso Eleutério
Nat. Hazards Earth Syst. Sci., 23, 3095–3110, https://doi.org/10.5194/nhess-23-3095-2023, https://doi.org/10.5194/nhess-23-3095-2023, 2023
Short summary
Short summary
This work evaluates the application of flood consequence models through their application in a real case related to a tailings dam failure. Furthermore, we simulated the implementation of less efficient alert systems on life-loss alleviation. The results revealed that the models represented the event well and were able to estimate the relevance of implementing efficient alert systems. They highlight that their use may be an important tool for new regulations for dam safety legislation.
This article is included in the Encyclopedia of Geosciences
Mario A. Salgado-Gálvez, Mario Ordaz, Benjamin Huerta, Osvaldo Garay, Carlos Avelar, Ettore Fagà, Mohsen Kohrangi, Paola Ceresa, and Zacharias Fasoulakis
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-137, https://doi.org/10.5194/nhess-2023-137, 2023
Revised manuscript under review for NHESS
Short summary
Short summary
Central Asia is prone to earthquake losses which can impact population and assets of different types. This paper presents the details of a probabilistic earthquake model which made use of a regionally consistent approach to assess the feasible earthquake losses in five countries. Results are presented in terms of commonly used risk metrics, which are aimed to facilitate a policy dialogue regarding different disaster risk management strategies, from risk mitigation to disaster risk financing.
This article is included in the Encyclopedia of Geosciences
Max Schneider, Fabrice Cotton, and Pia-Johanna Schweizer
Nat. Hazards Earth Syst. Sci., 23, 2505–2521, https://doi.org/10.5194/nhess-23-2505-2023, https://doi.org/10.5194/nhess-23-2505-2023, 2023
Short summary
Short summary
Hazard maps are fundamental to earthquake risk reduction, but research is missing on how to design them. We review the visualization literature to identify evidence-based criteria for color and classification schemes for hazard maps. We implement these for the German seismic hazard map, focusing on communicating four properties of seismic hazard. Our evaluation finds that the redesigned map successfully communicates seismic hazard in Germany, improving on the baseline map for two key properties.
This article is included in the Encyclopedia of Geosciences
Leon Scheiber, Christoph Gabriel David, Mazen Hoballah Jalloul, Jan Visscher, Hong Quan Nguyen, Roxana Leitold, Javier Revilla Diez, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2333–2347, https://doi.org/10.5194/nhess-23-2333-2023, https://doi.org/10.5194/nhess-23-2333-2023, 2023
Short summary
Short summary
Like many other megacities in low-elevation coastal zones, Ho Chi Minh City in southern Vietnam suffers from the convoluting impact of changing environmental stressors and rapid urbanization. This study assesses quantitative hydro-numerical results against the background of the low-regret paradigm for (1) a large-scale flood protection scheme as currently constructed and (2) the widespread implementation of small-scale rainwater detention as envisioned in the Chinese Sponge City Program.
This article is included in the Encyclopedia of Geosciences
Dirk Eilander, Anaïs Couasnon, Frederiek C. Sperna Weiland, Willem Ligtvoet, Arno Bouwman, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 2251–2272, https://doi.org/10.5194/nhess-23-2251-2023, https://doi.org/10.5194/nhess-23-2251-2023, 2023
Short summary
Short summary
This study presents a framework for assessing compound flood risk using hydrodynamic, impact, and statistical modeling. A pilot in Mozambique shows the importance of accounting for compound events in risk assessments. We also show how the framework can be used to assess the effectiveness of different risk reduction measures. As the framework is based on global datasets and is largely automated, it can easily be applied in other areas for first-order assessments of compound flood risk.
This article is included in the Encyclopedia of Geosciences
Juan Camilo Gómez Zapata, Massimiliano Pittore, Nils Brinckmann, Juan Lizarazo-Marriaga, Sergio Medina, Nicola Tarque, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 23, 2203–2228, https://doi.org/10.5194/nhess-23-2203-2023, https://doi.org/10.5194/nhess-23-2203-2023, 2023
Short summary
Short summary
To investigate cumulative damage on extended building portfolios, we propose an alternative and modular method to probabilistically integrate sets of single-hazard vulnerability models that are being constantly developed by experts from various research fields to be used within a multi-risk context. We demonstrate its application by assessing the economic losses expected for the residential building stock of Lima, Peru, a megacity commonly exposed to consecutive earthquake and tsunami scenarios.
This article is included in the Encyclopedia of Geosciences
Oya Kalaycıoğlu, Serhat Emre Akhanlı, Emin Yahya Menteşe, Mehmet Kalaycıoğlu, and Sibel Kalaycıoğlu
Nat. Hazards Earth Syst. Sci., 23, 2133–2156, https://doi.org/10.5194/nhess-23-2133-2023, https://doi.org/10.5194/nhess-23-2133-2023, 2023
Short summary
Short summary
The associations between household characteristics and hazard-related social vulnerability in Istanbul, Türkiye, were assessed using machine learning techniques. The results indicated that less educated households with no social security and job insecurity that live in squatter houses are at a higher risk of social vulnerability. We present the findings in an open-access R Shiny web application, which can serve as a guidance for identifying the target groups in the interest of risk mitigation.
This article is included in the Encyclopedia of Geosciences
Gregor Ortner, Michael Bründl, Chahan M. Kropf, Thomas Röösli, Yves Bühler, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 23, 2089–2110, https://doi.org/10.5194/nhess-23-2089-2023, https://doi.org/10.5194/nhess-23-2089-2023, 2023
Short summary
Short summary
This paper presents a new approach to assess avalanche risk on a large scale in mountainous regions. It combines a large-scale avalanche modeling method with a state-of-the-art probabilistic risk tool. Over 40 000 individual avalanches were simulated, and a building dataset with over 13 000 single buildings was investigated. With this new method, risk hotspots can be identified and surveyed. This enables current and future risk analysis to assist decision makers in risk reduction and adaptation.
This article is included in the Encyclopedia of Geosciences
Prateek Arora and Luis Ceferino
Nat. Hazards Earth Syst. Sci., 23, 1665–1683, https://doi.org/10.5194/nhess-23-1665-2023, https://doi.org/10.5194/nhess-23-1665-2023, 2023
Short summary
Short summary
Power outage models can help utilities manage risks for outages from hurricanes. Our article reviews the existing outage models during hurricanes and highlights their strengths and limitations. Existing models can give erroneous estimates with outage predictions larger than the number of customers, can struggle with predictions for catastrophic hurricanes, and do not adequately represent infrastructure failure's uncertainties. We suggest models for the future that can overcome these challenges.
This article is included in the Encyclopedia of Geosciences
Cited articles
Ahiablame, L. M., Engel, B., and Chaubey, I.: Representation and Evaluation of Low Impact Development Practices with L-THIA-LID: An Example for Site Planning, Environ. Pollut., 1, 1–13, https://doi.org/10.5539/ep.v1n2p1, 2012.
Albert, C., Schröter, B., Haase, D., Brillinger, M., Henze, J., Herrmann, S., Gottwald, S., Guerrero, P., Nicolas, C., and Matzdorf, B.: Addressing societal challenges through nature-based solutions: How can landscape planning and governance research contribute?, Landsc. Urban Plan., 182, 12–21, https://doi.org/10.1016/j.landurbplan.2018.10.003, 2019.
Alves, A., Sanchez, A., Vojinovic, Z., Seyoum, S., Babel, M., and Brdjanovic,
D.: Evolutionary and holistic assessment of green-grey infrastructure for
CSO reduction, Water, 8, 402, https://doi.org/10.3390/w8090402, 2016.
Alves, A., Gómez, J. P., Vojinovic, Z., Sánchez, A., and Weesakul, S.: Combining Co-Benefits and Stakeholders Perceptions into Green
Infrastructure Selection for Flood Risk Reduction, Environments, 5, 29,
https://doi.org/10.3390/environments5020029, 2018a.
Alves, A., Gersonius, B., Sanchez, A., Vojinovic, Z., and Kapelan, Z.:
Multi-criteria Approach for Selection of Green and Grey Infrastructure to
Reduce Flood Risk and Increase CO-benefits, Water Resour. Manage., 32, 2505–2522, https://doi.org/10.1007/s11269-018-1943-3, 2018b.
Alves, A., Gersonius, B., Kapelan, Z., Vojinovic, Z., and Sanchez, A.: Assessing the Co-Benefits of green-blue-grey infrastructure for sustainable
urban flood risk management, J. Environ. Manage., 239, 244–254,
https://doi.org/10.1016/j.jenvman.2019.03.036, 2019.
atelier GROENBLAUW: Green-blue design tool, available at:
https://www.urbangreenbluegrids.com/design-tool/, last access: 1 February 2019.
Behroozi, A., Niksokhan, M. H., and Nazariha, M.: Developing a
simulation-optimisation model for quantitative and qualitative control of
urban run-off using best management practices, J. Flood Risk Manage., 11,
S340–S351, https://doi.org/10.1111/jfr3.12210, 2018.
Bhattacharjee, K. and Behera, B.: Does forest cover help prevent flood damage? Empirical evidence from India, Global Environ. Change, 53, 78–89, https://doi.org/10.1016/j.gloenvcha.2018.09.004, 2018.
Biodivera: BiodivERsA, available at: https://www.biodiversa.org/,
last access: 5 March 2019.
BISE: BISE - Biodiversity Information System for Europe — Biodiversity
Information system for Europe, available at:
https://biodiversity.europa.eu/, last access: 5 March 2019.
Bosch Slabbers, Deltares, Swexo, Witteveen+Bos, and KNMI: Climate Adaptive
Solutions, available at: http://www.climateapp.nl/, last access:
1 February 2019.
Brown, C., Ghile, Y., Laverty, M., and Li, K.: Decision scaling: Linking
bottom-up vulnerability analysis with climate projections in the water sector, Water Resour. Res., 48, 1–12, https://doi.org/10.1029/2011WR011212, 2012.
Burszta-Adamiak, E. and Mrowiec, M.: Modelling of Green roofs' hydrologic
performance using EPA's SWMM, Water Sci. Technol., 68, 36–42,
https://doi.org/10.2166/wst.2013.219, 2013.
Carpenter, D. D. and Kaluvakolanu, P.: Effect of Roof Surface Type on
Storm-Water Runoff from Full-Scale Roofs in a Temperate Climate, J. Irrig.
Drain. Eng., 137, 161–169, https://doi.org/10.1061/(ASCE)IR.1943-4774.0000185, 2011.
Casteller, A., Häfelfinger, T., Cortés Donoso, E., Podvin, K.,
Kulakowski, D., and Bebi, P.: Assessing the interaction between mountain
forests and snow avalanches at Nevados de Chillán, Chile and its
implications for ecosystem-based disaster risk reduction, Nat. Hazards Earth
Syst. Sci., 18, 1173–1186, https://doi.org/10.5194/nhess-18-1173-2018, 2018.
CBD: Connecting Biodiversity And Climate Change Mitigation And Adaption,
Report of the Second Ad Hoc Technical Expert Group on Biodiversity and
Climate Change, Secretariat of the Convention on Biological Diversity, Montreal, Canada, 2009.
Chan, F. K. S., Griffiths, J. A., Higgitt, D., Xu, S., Zhu, F., Tang, Y. T.,
Xu, Y., and Thorne, C. R.: “Sponge City” in China – A breakthrough of
planning and flood risk management in the urban context, Land Use Policy, 76, 772–778, https://doi.org/10.1016/j.landusepol.2018.03.005, 2018.
Chen, P. Y., Tung, C. P., and Li, Y. H.: Low impact development planning and
adaptation decision-making under climate change for a community against pluvial flooding, Water, 9, 756, https://doi.org/10.3390/w9100756, 2017.
Cheng, C., Yang, Y. C. E., Ryan, R., Yu, Q., and Brabec, E.: Assessing climate change-induced flooding mitigation for adaptation in Boston's Charles River watershed, USA, Landsc. Urban Plan., 167, 25–36, https://doi.org/10.1016/j.landurbplan.2017.05.019, 2017.
Chou, R.-J.: Achieving Successful River Restoration in Dense Urban Areas: Lessons from Taiwan, Sustainability, 8, 1159, https://doi.org/10.3390/su8111159, 2016.
Chow, J. F., Savić, D., Fortune, D., Kapelan, Z., and Mebrate, N.: Using
a systematic, multi-criteria decision support framework to evaluate sustainable drainage designs, Procedia Eng., 70, 343–352,
https://doi.org/10.1016/j.proeng.2014.02.039, 2014.
Cipolla, S. S., Maglionico, M., and Stojkov, I.: A long-term hydrological
modelling of an extensive green roof by means of SWMM, Ecol. Eng., 95, 876–887, https://doi.org/10.1016/j.ecoleng.2016.07.009, 2016.
Climate ADAPT: Climate ADAPT: Sharing Adaption Information Across Europe,
available at: https://climate-adapt.eea.europa.eu/, last access: 5 March 2019.
ClimateScan: ClimateScan, available at: https://climatescan.nl/, last access: 25 March 2019.
CNT: National Green Values™ Calculator Methodology, Center for Neighborhood Technology, Chicago, 2009.
Cohen-Shacham, E., Walters, G., Janzen, C., and Maginnis, C.: Nature-based
solutions to address global societal challenges, IUCN Commission on Ecosystem Management (CEM) and IUCN World Commission on Protected Areas (WCPA), Switzerland, 2016.
Dalimunthe, S.: Who Manages Space? Eco-DRR and the Local Community,
Sustainability, 10, 1705, https://doi.org/10.3390/su10061705, 2018.
Damodaram, C., Giacomoni, M. H., Prakash Khedun, C., Holmes, H., Ryan, A.,
Saour, W., and Zechman, E. M.: Simulation of combined best management practices and low impact development for sustainable stormwater management,
J. Am. Water Resour. Assoc., 46, 907–918, https://doi.org/10.1111/j.1752-1688.2010.00462.x, 2010.
de Jesús Arce-Mojica, T., Nehren, U., Sudmeier-Rieux, K., Miranda, P. J.,
and Anhuf, D.: Nature-based solutions (NbS) for reducing the risk of shallow
landslides: Where do we stand?, Int. J. Disast. Risk Reduct., 41, 101293, https://doi.org/10.1016/j.ijdrr.2019.101293, 2019.
Denjean, B., Denjean, B., Altamirano, M. A., Graveline, N., Giordano, R.,
Van der Keur, P., Moncoulon, D., Weinberg, J., Máñez Costa, M., Kozinc, Z., Mulligan, M., Pengal, P., Matthews, J., van Cauwenbergh, N.,
López Gunn, E., Bresch, D. N., and Denjean, B.: Natural Assurance Scheme:
A level playing field framework for Green-Grey infrastructure development,
Environ. Res., 159, 24–38, https://doi.org/10.1016/j.envres.2017.07.006, 2017.
De Risi, R., De Paola, F., Turpie, J., and Kroeger, T.: Life Cycle Cost and
Return on Investment as complementary decision variables for urban flood
risk management in developing countries, Int. J. Disast. Risk Reduct., 28, 88–106, https://doi.org/10.1016/j.ijdrr.2018.02.026, 2018.
Digman, C. J., Horton, B., Ashley, R. M., and Gill, E.: BeST (Benefits of
SuDS Tool) W045d BeST – User Manual, 3rd Edn., ciria, London, UK, 2017.
Dong, X., Guo, H., and Zeng, S.: Enhancing future resilience in urban drainage system: Green versus grey infrastructure, Water Res., 124, 280–289, https://doi.org/10.1016/j.watres.2017.07.038, 2017.
Donnell, E. C. O., Woodhouse, R., and Thorne, C. R.: Evaluating the multiple
benefits of a sustainable drainage scheme in Newcastle, UK, Proc. Inst. Civ. Eng. – Water Manage., 171, 191–208, https://doi.org/10.1680/jwama.16.00103, 2018.
DRMKC: European Commission-Disaster Risk Management Knowledge Centre, available at: https://drmkc.jrc.ec.europa.eu/, last access: 25 March 2019.
Duan, H. F., Li, F., and Yan, H.: Multi-Objective Optimal Design of Detention
Tanks in the Urban Stormwater Drainage System: LID Implementation and Analysis, Water Resour. Manage., 30, 4635–4648, https://doi.org/10.1007/s11269-016-1444-1, 2016.
Eaton, T. T.: Approach and case-study of green infrastructure screening analysis for urban stormwater control, J. Environ. Manage., 209, 495–504,
https://doi.org/10.1016/j.jenvman.2017.12.068, 2018.
EC – European Commission: Nature-Based Solutions and Re-Naturing Cities,
Final Report of the Horizon 2020 Expert Group on Nature-Based Solutions and
Re-Naturing Cities, European Union, Brussels, 2015.
Eckart, K., McPhee, Z., and Bolisetti, T.: Performance and implementation of
low impact development – A review, Sci. Total Environ., 607–608, 413–432,
https://doi.org/10.1016/j.scitotenv.2017.06.254, 2017.
Eggermont, H., Balian, E., Azevedo, J. M. N., Beumer, V., Brodin, T., Claudet, J., Fady, B., Grube, M., Keune, H., Lamarque, P., Reuter, K., Smith, M., Van Ham, C., Weisser, W. W., and Le Roux, X.: Nature-based solutions: New influence for environmental management and research in Europe, Gaia, 24, 243–248, https://doi.org/10.14512/gaia.24.4.9, 2015.
EEA: Exploring nature-based solutions-The role of green infrastructure in
mitigating the impacts of weather- and climate change-related natural
hazards, EEA Technical report No. 12/2015, Copenhagen, Denmark, 2015.
EEA: Climate change, impacts and vulnerability in Europe 2016— An
indicator-based report, Report 15/, Climate change adaptation and disaster
risk reduction in Europe – Enhancing coherence of the coherence of the
knowledge base, Copenhagen, Denmark, 2017.
EKLIPSE: An impact evaluation framework to support planning and evaluation
of nature-based solutions projects, Centre for Ecology & Hydrology, Wallingford, UK, 2017.
Ercolani, G., Antonio, E., Gandolfi, C., Castelli, F., and Masseroni, D.:
Evaluating performances of green roofs for stormwater runoff mitigation in a
high flood risk urban catchment, J. Hydrol., 566, 830–845,
https://doi.org/10.1016/j.jhydrol.2018.09.050, 2018.
Estrella, M. and Saalismaa, N.: Ecosystem-based disaster risk reduction (Eco-DRR): An overview, in: The Role of Ecosystems in Disaster Risk
Reduction, edited by: Renaud, F. G., Sudmeier-Rieux, K., and Estrella, M., United Nations University Press, Tokyo, Newyork, Paris, 26–54, 2013.
Estrella, M., Renaud, F. G., and Sudmeier-Rieux, K.: Opportunities, challenges and future perspectives for ecosystem-based disaster risk
reduction, in: The Role of Ecosystems in Disaster Risk Reduction, edited by:
Renaud, F. G., Sudmeier-Rieux, K., and Estrella, M., United Nations University Press, Tokyo, Newyork, Paris, 437–456, 2013.
Faivre, N., Fritz, M., Freitas, T., de Boissezon, B., and Vandewoestijne, S.:
Nature-Based Solutions in the EU: Innovating with nature to address social,
economic and environmental challenges, Environ. Res., 159, 509–518, https://doi.org/10.1016/j.envres.2017.08.032, 2017.
Faivre, N., Sgobbi, A., Happaerts, S., Raynal, J., and Schmidt, L.: Translating the Sendai Framework into action: The EU approach to
ecosystem-based disaster risk reduction, Int. J. Disast. Risk Reduct., 32, 4–10, https://doi.org/10.1016/j.ijdrr.2017.12.015, 2018.
Fenner, R.: Spatial evaluation of multiple benefits to encourage multi-functional design of sustainable drainage in Blue-Green cities, Water, 9, 953, https://doi.org/10.3390/w9120953, 2017.
Fletcher, T. D., Shuster, W., Hunt, W. F., Ashley, R., Butler, D., Arthur, S., Trowsdale, S., Barraud, S., Semadeni-Davies, A., Bertrand-Krajewski, J.
L., Mikkelsen, P. S., Rivard, G., Uhl, M., Dagenais, D., and Viklander, M.:
SUDS, LID, BMPs, WSUD and more – The evolution and application of terminology surrounding urban drainage, Urban Water J., 12, 525–542,
https://doi.org/10.1080/1573062X.2014.916314, 2015.
Fu, J. C., Jang, J. H., Huang, C. M., Lin, W. Y., and Yeh, C. C.:
Cross-analysis of land and runoff variations in response to urbanization on
basin, watershed, and city scales with/without green infrastructures, Water, 10, 106, https://doi.org/10.3390/w10020106, 2018.
Gao, J., Wang, R., Huang, J., and Liu, M.: Application of BMP to urban runoff
control using SUSTAIN model: Case study in an industrial area, Ecol. Model., 318, 177–183, https://doi.org/10.1016/j.ecolmodel.2015.06.018, 2015.
Gedan, K. B., Kirwan, M. L., Wolanski, E., Barbier, E. B., and Silliman, B. R.: The present and future role of coastal wetland vegetation in protecting
shorelines: Answering recent challenges to the paradigm, Climatic Change, 106, 7–29, https://doi.org/10.1007/s10584-010-0003-7, 2011.
Giacomoni, M. H. and Joseph, J.: Multi-objective evolutionary optimization
and Monte Carlo simulation for placement of low impact development in the
catchment scale, J. Water Resour. Plan. Manage., 143, 04017053,
https://doi.org/10.1061/(ASCE)WR.1943-5452.0000812, 2017.
Giacomoni, M. H., Zechman, E. M., and Brumbelow, K.: Hydrologic footprint
residence: Environmentally friendly criteria for best management practices, J. Hydrol. Eng., 17, 99–108, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000407, 2012.
Goncalves, M. L. R., Zischg, J., Rau, S., Sitzmann, M., and Rauch, W.: Modeling the Effects of Introducing Low Impact Development in a Tropical City: A Case Study from Joinville, Brazil, Sustainability, 10, 728, https://doi.org/10.3390/su10030728, 2018.
Herrera, J., Bonilla, C. A., Castro, L., Vera, S., Reyes, R., and Gironás, J.: A model for simulating the performance and irrigation of
green stormwater facilities at residential scales in semiarid and
Mediterranean regions, Environ. Model. Softw., 95, 246–257,
https://doi.org/10.1016/j.envsoft.2017.06.020, 2017.
Hoang, L., Fenner, R. A., and Skenderian, M.: A conceptual approach for
evaluating the multiple benefits of urban flood management practices, J.
Flood Risk Manage., 11, S943–S959, https://doi.org/10.1111/jfr3.12267, 2018.
Hu, M., Sayama, T., Zhang, X., Tanaka, K., Takara, K., and Yang, H.: Evaluation of low impact development approach for mitigating flood inundation at a watershed scale in China, J. Environ. Manage., 193, 430–438, https://doi.org/10.1016/j.jenvman.2017.02.020, 2017.
Huang, C., Hsu, N., Liu, H., and Huang, Y.: Optimization of low impact
development layout designs for megacity fl ood mitigation, J. Hydrol., 564, 542–558, https://doi.org/10.1016/j.jhydrol.2018.07.044, 2018.
Huang, J. J., Li, Y., Niu, S., and Zhou, S. H.: Assessing the performances of
low impact development alternatives by long-term simulation for a semi-arid
area in Tianjin, Northern China, Water Sci. Technol., 70, 1740–1745,
https://doi.org/10.2166/wst.2014.228, 2014.
Ishimatsu, K., Ito, K., Mitani, Y., Tanaka, Y., Sugahara, T., and Naka, Y.:
Use of rain gardens for stormwater management in urban design and planning,
Landsc. Ecol. Eng., 13, 205–212, https://doi.org/10.1007/s11355-016-0309-3, 2017.
Jayasooriya, V. M. and Ng, A. W. M.: Tools for modeling of stormwater management and economics of green infrastructure practices: A review, Water
Air. Soil Pollut., 225, 2055, https://doi.org/10.1007/s11270-014-2055-1, 2014.
Jia, H., Yao, H., Tang, Y., Yu, S. L., Field, R., and Tafuri, A. N.: LID-BMPs
planning for urban runoff control and the case study in China, J. Environ.
Manage., 149, 65–76, https://doi.org/10.1016/j.jenvman.2014.10.003, 2015.
Joyce, J., Chang, N., Harji, R., Ruppert, T., and Imen, S.: Developing a
multi-scale modeling system for resilience assessment of green-grey drainage
infrastructures under climate change and sea level rise impact, Environ.
Model. Softw., 90, 1–26, https://doi.org/10.1016/j.envsoft.2016.11.026, 2017.
Kabisch, N., Frantzeskaki, N., Pauleit, S., Naumann, S., Davis, M., Artmann,
M., Haase, D., Knapp, S., Korn, H., Stadler, J., Zaunberger, K., and Bonn, A.: Nature-based solutions to climate change mitigation and adaptation in
urban areas: perspectives on indicators, knowledge gaps, barriers, and
opportunities for action, Ecol. Soc., 21, 39, https://doi.org/10.5751/ES-08373-210239, 2016.
Karamouz, M. and Nazif, S.: Reliability-Based Flood Management in Urban
Watersheds Considering Climate Change Impacts, J. Water Resour. Plan. Manage., 139, 520–533, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000345, 2013.
Keesstra, S., Nunes, J., Novara, A., Finger, D., Avelar, D., Kalantari, Z.,
and Cerdà, A.: The superior effect of nature based solutions in land
management for enhancing ecosystem services, Sci. Total Environ., 610–611,
997–1009, https://doi.org/10.1016/j.scitotenv.2017.08.077, 2018.
Khan, U. T., Valeo, C., Chu, A., and He, J.: A data driven approach to
bioretention cell performance: Prediction and design, Water, 5, 13–28, https://doi.org/10.3390/w5010013, 2013.
Khastagir, A. and Jayasuriya, L. N. N.: Impacts of using rainwater tanks on stormwater harvesting and runoff quality, Water Sci. Technol., 62, 324–329, https://doi.org/10.2166/wst.2010.283, 2010.
Klijn, F., de Bruin, D., de Hoog, M. C., Jansen, S., and Sijmons, D. F.: Design quality of room-for-the-river measures in the Netherlands: role and assessment of the quality team (Q-team), Int. J. River Basin Manage., 11, 287–299, https://doi.org/10.1080/15715124.2013.811418, 2013.
Kuller, M., Farrelly, M., Deletic, A., and Bach, P. M.: Building effective
Planning Support Systems for green urban water infrastructure – Practitioners' perceptions, Environ. Sci. Policy, 89, 153–162, https://doi.org/10.1016/j.envsci.2018.06.011, 2018.
Lafortezza, R., Chen, J., van den Bosch, C. K., and Randrup, T. B.: Nature-based solutions for resilient landscapes and cities, Environ. Res.,
165, 431–441, https://doi.org/10.1016/j.envres.2017.11.038, 2018.
Lawson, E., Thorne, C., Ahilan, S., Allen, D., Arthur, S., Everett, G.,
Fenner, R., Glenis, V., Guan, D., Hoang, L., Kilsby, C., Lamond, J., Mant, J., Maskrey, S., Mount, N., Sleigh, A., Smith, L., and Wright, N.: Delivering
and evaluating the multiple flood risk benefits in Blue-Green cities: An
interdisciplinary approach, WIT Trans. Ecol. Environ., 184, 113–124,
https://doi.org/10.2495/FRIAR140101, 2014.
Lee, J. Y., Moon, H. J., Kim, T. I., Kim, H. W., and Han, M. Y.: Quantitative
analysis on the urban flood mitigation effect by the extensive green roof
system, Environ. Pollut., 181, 257–261, https://doi.org/10.1016/j.envpol.2013.06.039,
2013.
Lennon, M., Scott, M., and O'Neill, E.: Urban Design and Adapting to Flood
Risk: The Role of Green Infrastructure, J. Urban Des., 19, 745–758,
https://doi.org/10.1080/13574809.2014.944113, 2014.
Leslie, S., John, R. J., Khalid, A., Jenny, X. Z., Sabu, P., and Teresa, R.:
SUSTAIN – A Framework for Placement of Best Management Practices in Urban
Watersheds to Protect Water Quality, Environmental Protection Agency,
Washington, D.C., 2009.
Li, C., Liu, M., Hu, Y., Han, R., Shi, T., Qu, X., and Wu, Y.: Evaluating the
hydrologic performance of low impact development scenarios in a micro Urban
catchment, Int. J. Environ. Res. Publ. Health, 15, 273, https://doi.org/10.3390/ijerph15020273, 2018.
Li, J., Deng, C., Li, H., Ma, M., and Li, Y.: Hydrological Environmental
Responses of LID and Approach for Rainfall Pattern Selection in Precipitation Data-Lacked Region, Water Resour. Manage., 32, 3271–3284,
https://doi.org/10.1007/s11269-018-1990-9, 2018.
Li, N., Qin, C., and Du, P.: Optimization of China Sponge City Design: The Case of Lincang Technology Innovation Park, Water, 10, 1189, https://doi.org/10.3390/w10091189, 2018.
Liao, Z. L., Zhang, G. Q., Wu, Z. H., He, Y., and Chen, H.: Combined sewer
overflow control with LID based on SWMM: An example in Shanghai, China, Water Sci. Technol., 71, 1136–1142, https://doi.org/10.2166/wst.2015.076, 2015.
Liew, Y. S., Selamat, Z., Ghani, A. A., and Zakaria, N. A.: Performance of a
dry detention pond: Case study of Kota Damansara, Selangor, Malaysia, Urban
Water J., 9, 129–136, https://doi.org/10.1080/1573062X.2011.644567, 2012.
Liu, L. and Jensen, M. B.: Green infrastructure for sustainable urban water
management: Practices of five forerunner cities, Cities, 74, 126–133, https://doi.org/10.1016/j.cities.2017.11.013, 2018.
Liu, Y., Bralts, V. F., and Engel, B. A.: Evaluating the effectiveness of
management practices on hydrology and water quality at watershed scale with
a rainfall-runoff model, Sci. Total Environ., 511, 298–308,
https://doi.org/10.1016/j.scitotenv.2014.12.077, 2015.
Liu, Y., Theller, L. O., Pijanowski, B. C., and Engel, B. A.: Optimal selection and placement of green infrastructure to reduce impacts of land
use change and climate change on hydrology and water quality: An application
to the Trail Creek Watershed, Indiana, Sci. Total Environ., 553, 149–163,
https://doi.org/10.1016/j.scitotenv.2016.02.116, 2016.
Liu, Y., Engel, B. A., Flanagan, D. C., Gitau, M. W., McMillan, S. K., and
Chaubey, I.: A review on effectiveness of best management practices in
improving hydrology and water quality: Needs and opportunities, Sci. Total
Environ., 601–602, 580–593, https://doi.org/10.1016/j.scitotenv.2017.05.212, 2017.
Loc, H. H., Duyen, P. M., Ballatore, T. J., Lan, N. H. M., and Das Gupta, A.:
Applicability of sustainable urban drainage systems: an evaluation by
multi-criteria analysis, Environ. Syst. Decis., 37, 332–343,
https://doi.org/10.1007/s10669-017-9639-4, 2017.
Loos, J. R. and Rogers, S. H.: Understanding stakeholder preferences for
flood adaptation alternatives with natural capital implications, Ecol. Soc.,
21, 32, https://doi.org/10.5751/ES-08680-210332, 2016.
Loperfido, J. V., Noe, G. B., Jarnagin, S. T., and Hogan, D. M.: Effects of
distributed and centralized stormwater best management practices and land
cover on urban stream hydrology at the catchment scale, J. Hydrol., 519,
2584–2595, https://doi.org/10.1016/j.jhydrol.2014.07.007, 2014.
Lottering, N., du Plessis, D., and Donaldson, R.: Coping with drought: The
experience of water sensitive urban design (WSUD) in the George Municipality, Water SA, 41, 1–8, https://doi.org/10.4314/wsa.v41i1.1, 2015.
Luan, Q., Fu, X., Song, C., Wang, H., Liu, J., and Wang, Y.: Runoff effect
evaluation of LID through SWMM in typical mountainous, low-lying urban
areas: A case study in China, Water, 9, 439, https://doi.org/10.3390/w9060439, 2017.
MacKinnon, K., Sobrevila, C., and Hickey, V.: Biodiversity, Climate Change and Adaptation : Nature-Based Solutions from the World Bank Portfolio, Washington, D.C., 2008.
Majidi, A. N., Vojinovic, Z., Alves, A., Weesakul, S., Sanchez, A., Boogaard, F., and Kluck, J.: Planning Nature-Based Solutions for Urban Flood Reduction and Thermal Comfort Enhancement, Sustainability, 11, 6361, https://doi.org/10.3390/su11226361, 2019.
Maragno, D., Gaglio, M., Robbi, M., Appiotti, F., Fano, E. A., and Gissi, E.:
Fine-scale analysis of urban flooding reduction from green infrastructure:
An ecosystem services approach for the management of water flows, Ecol. Model., 386, 1–10, https://doi.org/10.1016/j.ecolmodel.2018.08.002, 2018.
Matthews, T., Lo, A. Y., and Byrne, J. A.: Reconceptualizing green infrastructure for climate change adaptation: Barriers to adoption and
drivers for uptake by spatial planners, Landsc. Urban Plan., 138, 155–163,
https://doi.org/10.1016/j.landurbplan.2015.02.010, 2015.
McVittie, A., Cole, L., Wreford, A., Sgobbi, A., and Yordi, B.: Ecosystem-based solutions for disaster risk reduction: Lessons from European
applications of ecosystem-based adaptation measures, Int. J. Disast. Risk
Reduct., 32, 42–54, https://doi.org/10.1016/j.ijdrr.2017.12.014, 2018.
Mei, C., Liu, J., Wang, H., Yang, Z., Ding, X., and Shao, W.: Integrated
assessments of green infrastructure for fl ood mitigation to support robust
decision-making for sponge city construction in an urbanized watershed, Sci.
Total Environ., 639, 1394–1407, https://doi.org/10.1016/j.scitotenv.2018.05.199, 2018.
Merz, B., Kreibich, H., Schwarze, R., and Thieken, A.: Review article
“Assessment of economic flood damage”, Nat. Hazards Earth Syst. Sci., 10, 1697–1724, https://doi.org/10.5194/nhess-10-1697-2010, 2010.
Mills, G., Anjos, M., Brennan, M., Williams, J., McAleavey, C., and Ningal,
T.: The green `signature' of Irish cities: An examination of the ecosystem
services provided by trees using i-Tree Canopy software, Irish Geogr., 48, 62–77, 2016.
Naturally Resilient Communities: Naturally Resilient Communities solutions,
available at: http://nrcsolutions.org/strategies/#solutions, last access: 1 February 2019.
Nature-based Solutions Initiative: Nature-Based Solutions Policy Platform,
available at: http://nbspolicyplatform.org/, last access: 5 March 2019.
nature4cities: European Horizon 2020 NBS project, available at:
https://www.nature4cities.eu/h2020-nbs-projects, last access: 11 February 2019.
Nature of Cities: The Nature of Cities, available at:
https://www.thenatureofcities.com/, last access: 5 March 2019.
NATURVATION: Urban Nature Atlas | NATURVATION, available at:
https://naturvation.eu/atlas, last access: 5 March 2019.
Naumann, S., McKenna, D., Kaphengst, T., Pieterse, M., Rayment, M., and
Davis, M.: Design, implementation and cost elements of Green Infrastructure
projects, Final report to the European Commission, DG Environment, 2011.
Nesshöver, C., Assmuth, T., Irvine, K. N., Rusch, G. M., Waylen, K. A.,
Delbaere, B., Haase, D., Jones-Walters, L., Keune, H., Kovacs, E., Krauze, K., Külvik, M., Rey, F., van Dijk, J., Vistad, O. I., Wilkinson, M. E.,
and Wittmer, H.: The science, policy and practice of nature-based solutions:
An interdisciplinary perspective, Sci. Total Environ., 579, 1215–1227, https://doi.org/10.1016/j.scitotenv.2016.11.106, 2017.
Nordman, E. E., Isely, E., Isely, P., and Denning, R.: Benefit-cost analysis
of stormwater green infrastructure practices for Grand Rapids, Michigan, USA, J. Clean. Prod., 200, 501–510, https://doi.org/10.1016/j.jclepro.2018.07.152, 2018.
NWRM: Natural Water Retention Measures, available at: http://nwrm.eu/, last access: 1 March 2019.
Olszewski, J. M. and Allen, P. D.: Comparing the Hydrologic Performance of a
Bioretention Cell with Predevelopment Values, J. Irrig. Drain. Eng., 1, 124–130, https://doi.org/10.1061/(ASCE)IR.1943-4774.0000504, 2013.
Onuma, A. and Tsuge, T.: Comparing green infrastructure as ecosystem-based
disaster risk reduction with gray infrastructure in terms of costs and
benefits under uncertainty: A theoretical approach, Int. J. Disast. Risk
Reduct., 32, 22–28, https://doi.org/10.1016/j.ijdrr.2018.01.025, 2018.
Oppla: Natural capital Ecosystem services Nature-based solutions | Oppla, available at: https://oppla.eu/, last access: 25 March 2019.
Oraei Zare, S., Saghafian, B., and Shamsai, A.: Multi-objective optimization
for combined quality-quantity urban runoff control, Hydrol. Earth Syst.
Sci., 16, 4531–4542, https://doi.org/10.5194/hess-16-4531-2012, 2012.
Ossa-Moreno, J., Smith, K. M., and Mijic, A.: Economic analysis of wider
benefits to facilitate SuDS uptake in London, UK, Sustain. Cities Soc., 28,
411–419, https://doi.org/10.1016/j.scs.2016.10.002, 2017.
Pagano, A., Pluchinotta, I., Pengal, P., Cokan, B., and Giordano, R.: Engaging stakeholders in the assessment of NBS effectiveness in flood risk
reduction: A participatory System Dynamics Model for benefits and co-benefits evaluation, Sci. Total Environ., 690, 543–555, https://doi.org/10.1016/j.scitotenv.2019.07.059, 2019.
PANORAMA: PANORAMA slutions for a healthy planet, available at:
https://panorama.solutions, last access: 9 July 2019.
Pappalardo, V., La Rosa, D., Campisano, A., and La Greca, P.: The potential
of green infrastructure application in urban runoff control for land use
planning: A preliminary evaluation from a southern Italy case study, Ecosyst. Serv., 26, 345–354, https://doi.org/10.1016/j.ecoser.2017.04.015, 2017.
PEARL: PEARL | Preparing for Extreme And Rare events in coastaL regions, available at: http://www.pearl-fp7.eu/ (last access: 25 November 2018), 2019.
PEDRR: Partnership for Environment and Disaster Risk Reduction, available at: http://pedrr.org/, last access: 5 July 2019.
Petit-Boix, A., Sevigné-Itoiz, E., Rojas-Gutierrez, L. A., Barbassa, A. P., Josa, A., Rieradevall, J., and Gabarrell, X.: Floods and consequential
life cycle assessment: Integrating flood damage into the environmental
assessment of stormwater Best Management Practices, J. Clean. Prod., 162, 601–608, https://doi.org/10.1016/j.jclepro.2017.06.047, 2017.
Qin, H., Li, Z., and Fu, G.: The effects of low impact development on urban
flooding under different rainfall characteristics, J. Environ. Manage., 129,
577–585, https://doi.org/10.1016/j.jenvman.2013.08.026, 2013.
Radonic, L.: Re-conceptualising Water Conservation: Rainwater Harvesting in
the Desert of the Southwestern United States, Water Altern., 12, 699–714, 2019.
Rangarajan, S., Marton, D., Montalto, F., Cheng, Z. J., and Smith, G.: Measuring the flow: Green infrastructure grows in Brooklyn, Curr. Opin.
Environ. Sustain., 17, 36–41, https://doi.org/10.1016/j.cosust.2015.09.001, 2015.
Raymond, C. M., Frantzeskaki, N., Kabisch, N., Berry, P., Breil, M., Nita, M. R., Geneletti, D., and Calfapietra, C.: A framework for assessing and
implementing the co-benefits of nature-based solutions in urban areas, Environ. Sci. Policy, 77, 15–24, https://doi.org/10.1016/j.envsci.2017.07.008, 2017.
Reguero, B. G., Beck, M. W., Bresch, D. N., Calil, J., and Meliane, I.: Comparing the cost effectiveness of nature-based and coastal adaptation: A
case study from the Gulf Coast of the United States, PLoS One, 13, 1–24,
https://doi.org/10.1371/journal.pone.0192132, 2018.
Reynaud, A., Lanzanova, D., Liquete, C., and Grizzetti, B.: Going green?
Ex-post valuation of a multipurpose water infrastructure in Northern Italy,
Ecosyst. Serv., 27, 70–81, https://doi.org/10.1016/j.ecoser.2017.07.015, 2017.
Romnée, A. and De Herde, A.: Hydrological efficiency evaluation tool of
urban Stormwater best management practices, Int. J. Sustain. Dev. Plan., 10, 435–452, https://doi.org/10.2495/SDP-V10-N4-435-452, 2015.
Rozos, E., Makropoulos, C., and Maksimovic, C.: Rethinking urban areas: an
example of an integrated blue-green approach, Water Sci. Technol. Water Supply, 13, 1534–1542, https://doi.org/10.2166/ws.2013.140, 2013.
Ruckelshaus, M. H., Guannel, G., Arkema, K., Verutes, G., Griffin, R., Guerry, A., Silver, J., Faries, J., Brenner, J., and Rosenthal, A.: Evaluating the Benefits of Green Infrastructure for Coastal Areas: Location,
Location, Location, Coast. Manage., 44, 504–516, https://doi.org/10.1080/08920753.2016.1208882, 2016.
Sahani, J., Kumar, P., Debele, S., Spyrou, C., Loupis, M., Aragão, L.,
Porcù, F., Shah, M. A. R., and Di Sabatino, S.: Hydro-meteorological risk
assessment methods and management by nature-based solutions, Sci. Total Environ., 696, 133936, https://doi.org/10.1016/j.scitotenv.2019.133936, 2019.
Santoro, S., Pluchinotta, I., Pagano, A., Pengal, P., Cokan, B., and Giordano, R.: Assessing stakeholders' risk perception to promote Nature Based Solutions as flood protection strategies: The case of the Glinščica river (Slovenia), Sci. Total Environ., 655, 188–201,
https://doi.org/10.1016/j.scitotenv.2018.11.116, 2019.
Scarano, F. R.: Ecosystem-based adaptation to climate change: concept, scalability and a role for conservation science, Perspect. Ecol. Conserv., 15, 65–73, https://doi.org/10.1016/j.pecon.2017.05.003, 2017.
Schifman, L. A., Herrmann, D. L., Shuster, W. D., Ossola, A., Garmestani, A.,
and Hopton, M. E.: Situating Green Infrastructure in Context: A Framework
for Adaptive Socio-Hydrology in Cities, Water Resour. Res., 53, 10139–10154, https://doi.org/10.1002/2017WR020926, 2017.
Schoonees, T., Gijón Mancheño, A., Scheres, B., Bouma, T. J., Silva,
R., Schlurmann, T., and Schüttrumpf, H.: Hard Structures for Coastal
Protection, Towards Greener Designs, Estuar. Coast., 42, 1709–1729, https://doi.org/10.1007/s12237-019-00551-z, 2019.
Schubert, J. E., Burns, M. J., Fletcher, T. D., and Sanders, B. F.: A framework for the case-specific assessment of Green Infrastructure in mitigating urban flood hazards, Adv. Water Resour., 108, 55–68,
https://doi.org/10.1016/j.advwatres.2017.07.009, 2017.
SEI: Stockholm Environment Institute: weADAPT | Climate adaptation planning, research and practice, available at: https://www.weadapt.org/, last access: 5 March 2019.
Seifollahi-Aghmiuni, S., Nockrach, M., and Kalantari, Z.: The potential of
wetlands in achieving the sustainable development goals of the 2030 Agenda,
Water, 11, 1–14, https://doi.org/10.3390/w11030609, 2019.
Semadeni-Davies, A., Hernebring, C., Svensson, G., and Gustafsson, L. G.: The
impacts of climate change and urbanisation on drainage in Helsingborg, Sweden: Suburban stormwater, J. Hydrol., 350, 114–125,
https://doi.org/10.1016/j.jhydrol.2007.11.006, 2008.
Shafique, M. and Kim, R.: Recent progress in low-impact development in South
Korea: Water-management policies, challenges and opportunities, Water, 10, 435, https://doi.org/10.3390/w10040435, 2018.
Shafique, M., Kim, R., and Kyung-Ho, K.: Rainfall runoff mitigation by
retrofitted permeable pavement in an urban area, Sustainability, 10, 1–10, https://doi.org/10.3390/su10041231, 2018.
Soares, A. L., Rego, F. C., McPherson, E. G., Simpson, J. R., Peper, P. J.,
and Xiao, Q.: Benefits and costs of street trees in Lisbon, Portugal, Urban
For. Urban Green., 10, 69–78, https://doi.org/10.1016/j.ufug.2010.12.001, 2011.
Song, K., You, S., and Chon, J.: Simulation modeling for a resilience
improvement plan for natural disasters in a coastal area, Environ. Pollut.,
242, 1970–1980, https://doi.org/10.1016/j.envpol.2018.07.057, 2018.
Strecker, E. W., Quigley, M. M., Urbonas, B. R., Jones, J. E., and Clary, J.
K.: Determining Urban Storm Water BMP Effectiveness, J. Water Resour. Plan.
Manage., 127, 144–149, https://doi.org/10.1061/(ASCE)0733-9496(2001)127:3(144), 2001.
Sutton-Grier, A. E., Gittman, R. K., Arkema, K. K., Bennett, R. O., Benoit, J., Blitch, S., Burks-Copes, K. A., Colden, A., Dausman, A., DeAngelis, B.
M., Hughes, A. R., Scyphers, S. B., and Grabowski, J. H.: Investing in natural and nature-based infrastructure: Building better along our coasts,
Sustainability, 10, 1–11, https://doi.org/10.3390/su10020523, 2018.
Tao, J., Li, Z., Peng, X., and Ying, G.: Quantitative analysis of impact of
green stormwater infrastructures on combined sewer overflow control and urban flooding control, Front. Environ. Sci. Eng., 11, 1–12,
https://doi.org/10.1007/s11783-017-0952-4, 2017.
ThinkNature: ThinkNature | Platform for Nature-Based Solutions, available at: https://www.think-nature.eu/, last access: 5 March 2019.
Thorne, C. R., Lawson, E. C., Ozawa, C., Hamlin, S. L., and Smith, L. A.:
Overcoming uncertainty and barriers to adoption of Blue-Green Infrastructure
for urban flood risk management, J. Flood Risk Manage., 11, S960–S972,
https://doi.org/10.1111/jfr3.12218, 2018.
Thorslund, J., Jarsjo, J., Jaramillo, F., Jawitz, J. W., Manzoni, S., Basu, N. B., Chalov, S. R., Cohen, M. J., Creed, I. F., Goldenberg, R., Hylin, A.,
Kalantari, Z., Koussis, A. D., Lyon, S. W., Mazi, K., Mard, J., Persson, K.,
Pietro, J., Prieto, C., Quin, A., Van Meter, K., and Destouni, G.: Wetlands
as large-scale nature-based solutions: Status and challenges for research,
engineering and management, Ecol. Eng., 108, 489–497,
https://doi.org/10.1016/j.ecoleng.2017.07.012, 2017.
Triyanti, A. and Chu, E.: A survey of governance approaches to ecosystem-based disaster risk reduction: Current gaps and future directions,
Int. J. Disast. Risk Reduct., 32, 11–21, https://doi.org/10.1016/j.ijdrr.2017.11.005, 2018.
Van Coppenolle, R., Schwarz, C., and Temmerman, S.: Contribution of Mangroves and Salt Marshes to Nature-Based Mitigation of Coastal Flood Risks in Major Deltas of the World, Estuar. Coasts, 41, 1699–1711, https://doi.org/10.1007/s12237-018-0394-7, 2018.
Vogel, J. R., Moore, T. L., Coffman, R. R., Rodie, S. N., Hutchinson, S. L.,
McDonough, K. R., McLemore, A. J., and McMaine, J. T.: Critical Review of
Technical Questions Facing Low Impact Development and Green Infrastructure:
A Perspective from the Great Plains, Water Environ. Res., 87, 849–862,
https://doi.org/10.2175/106143015X14362865226392, 2015.
Vojinovic, Z., Keerakamolchai, W., Weesakul, S., Pudar, R., Medina, N., and
Alves, A.: Combining Ecosystem Services with Cost-Benefit Analysis for
Selection of Green and Grey Infrastructure for Flood Protection in a Cultural Setting, Environments, 4, 3, https://doi.org/10.3390/environments4010003, 2017.
Voskamp, I. M. and Van de Ven, F. H. M.: Planning support system for climate
adaptation: Composing effective sets of blue-green measures to reduce urban
vulnerability to extreme weather events, Build. Environ., 83, 159–167,
https://doi.org/10.1016/j.buildenv.2014.07.018, 2015.
Wang, Q., Guidolin, M., Savic, D., and Kapelan, Z.: Two-Objective Design of
Benchmark Problems of a Water Distribution System via MOEAs: Towards the
Best-Known Approximation of the True Pareto Front, J. Water Resour. Plan.
Manage., 141, 04014060, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000460, 2015.
Wang, Y., Huang, J., and Chen, X.: Do forests relieve crop thirst in the face
of drought? Empirical evidence from South China, Global Environ. Change, 55, 105–114, https://doi.org/10.1016/j.gloenvcha.2019.01.008, 2019.
Watson, K. B., Ricketts, T., Galford, G., Polasky, S., and O'Niel-Dunne, J.:
Quantifying flood mitigation services: The economic value of Otter Creek
wetlands and floodplains to Middlebury, VT, Ecol. Econ., 130, 16–24,
https://doi.org/10.1016/j.ecolecon.2016.05.015, 2016.
Webber, J. L., Fu, G., and Butler, D.: Rapid surface water intervention
performance comparison for urban planning, Water Sci. Technol., 77, 2084–2092, https://doi.org/10.2166/wst.2018.122, 2018.
Wheeler, B. W., Cooper, A. R., Page, A. S., and Jago, R.: Greenspace and
children's physical activity: A GPS/GIS analysis of the PEACH project, Prev.
Med. (Baltim.), 51, 148–152, https://doi.org/10.1016/j.ypmed.2010.06.001, 2010.
Whelans consultants, Hawthorn, M., and Thompson, P.: Planning & management
guidelines for water sensitive urban (residential) design: consultants report prepared for the Department of Planning and Urban Development, State Planning Commission, Perth, Australia, 1994.
World Bank, GFDRR, and Deltares: Natural Hazards – Nature-based Solutions,
available at: https://naturebasedsolutions.org/, last access: 5 March 2019.
Woznicki, S. A., Hondula, K. L., and Jarnagin, S. T.: Effectiveness of
landscape-based green infrastructure for stormwater management in suburban
catchments, Hydrol. Process., 32, 2346–2361, https://doi.org/10.1002/hyp.13144, 2018.
Wu, J., Yang, R., and Song, J.: Effectiveness of low-impact development for
urban inundation risk mitigation under different scenarios: A case study in
Shenzhen, China, Nat. Hazards Earth Syst. Sci., 18, 2525–2536,
https://doi.org/10.5194/nhess-18-2525-2018, 2018.
Yang, Y., Fong, T., and Chui, M.: Integrated hydro-environmental impact
assessment and alternative selection of low impact development practices in
small urban catchments, J. Environ. Manage., 223, 324–337,
https://doi.org/10.1016/j.jenvman.2018.06.021, 2018.
Yazdi, J. and Salehi Neyshabouri, S. A. A.: Identifying low impact development strategies for flood mitigation using a fuzzy-probabilistic approach, Environ. Model. Softw., 60, 31–44, https://doi.org/10.1016/j.envsoft.2014.06.004, 2014.
Zhang, K. and Chui, T. F. M.: A comprehensive review of spatial allocation of LID-BMP-GI practices: Strategies and optimization tools, Sci. Total Environ., 621, 915–929, https://doi.org/10.1016/j.scitotenv.2017.11.281, 2018.
Zhang, K. and Chui, T. F. M.: Linking hydrological and bioecological benefits of green infrastructures across spatial scales – A literature review, Sci. Total Environ., 646, 1219–1231, https://doi.org/10.1016/j.scitotenv.2018.07.355, 2019.
Zhu, Z. and Chen, X.: Evaluating the effects of low impact development practices on urban flooding under different rainfall intensities, Water, 9, 548, https://doi.org/10.3390/w9070548, 2017.
Zölch, T., Henze, L., Keilholz, P., and Pauleit, S.: Regulating urban surface runoff through nature-based solutions – An assessment at the micro-scale, Environ. Res., 157, 135–144, https://doi.org/10.1016/j.envres.2017.05.023, 2017
Short summary
This article aims to provide a critical review of the literature and indicate some directions for future research based on the current knowledge gaps in the area of nature-based solutions (NBSs) for hydro-meteorological risk reduction. The final full analysis was performed on 146 closely related articles. A review showed that many advancements related to NBSs have been made to date, but there are still many challenges that will play an important role in extending knowledge in the coming years.
This article aims to provide a critical review of the literature and indicate some directions...
Altmetrics
Final-revised paper
Preprint