Articles | Volume 22, issue 8
https://doi.org/10.5194/nhess-22-2751-2022
© Author(s) 2022. 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-22-2751-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Aug 2022
Research article |
| 23 Aug 2022
| 23 Aug 2022
Estimating return intervals for extreme climate conditions related to winter disasters and livestock mortality in Mongolia
Research Institute for Humanity and Nature, Kyoto, 6038047, Japan
Columbia Water Center, Columbia University, New York, NY 10027, USA
Department of Global Health and Population, Harvard University, Boston, MA 02115, USA
Nicole Davi
Department of Environmental Science, William Paterson University,
Wayne, NJ 07470, USA
Tree-Ring Laboratory, Lamont-Doherty Earth Observatory, Columbia
University, Palisades, NY 10964, USA
Mukund Palat Rao
Tree-Ring Laboratory, Lamont-Doherty Earth Observatory, Columbia
University, Palisades, NY 10964, USA
Cooperative Programs for the Advancement of Earth System Science,
University Corporation for Atmospheric Research, Boulder, CO 80301, USA
Department of Plant Sciences, University of California, Davis, Davis, CA 95616, USA
Caroline Leland
Department of Environmental Science, William Paterson University,
Wayne, NJ 07470, USA
Tree-Ring Laboratory, Lamont-Doherty Earth Observatory, Columbia
University, Palisades, NY 10964, USA
Masataka Watanabe
Research and Development Initiative, Chuo University, Tokyo, 1128551, Japan
Upmanu Lall
Columbia Water Center, Columbia University, New York, NY 10027, USA
Department of Earth and Environmental Engineering, Columbia
University, New York, NY 10027, USA
Related authors
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Bianca Rahill-Marier, Naresh Devineni, and Upmanu Lall
Hydrol. Earth Syst. Sci., 26, 5685–5695, https://doi.org/10.5194/hess-26-5685-2022, https://doi.org/10.5194/hess-26-5685-2022, 2022
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We present a new approach to modeling extreme regional rainfall by considering the spatial structure of extreme events. The developed models allow a probabilistic exploration of how the regional drainage network may respond to extreme rainfall events and provide a foundation for how future risks may be better estimated.
Carlos Alberti, Frank Hase, Matthias Frey, Darko Dubravica, Thomas Blumenstock, Angelika Dehn, Paolo Castracane, Gregor Surawicz, Roland Harig, Bianca C. Baier, Caroline Bès, Jianrong Bi, Hartmut Boesch, André Butz, Zhaonan Cai, Jia Chen, Sean M. Crowell, Nicholas M. Deutscher, Dragos Ene, Jonathan E. Franklin, Omaira García, David Griffith, Bruno Grouiez, Michel Grutter, Abdelhamid Hamdouni, Sander Houweling, Neil Humpage, Nicole Jacobs, Sujong Jeong, Lilian Joly, Nicholas B. Jones, Denis Jouglet, Rigel Kivi, Ralph Kleinschek, Morgan Lopez, Diogo J. Medeiros, Isamu Morino, Nasrin Mostafavipak, Astrid Müller, Hirofumi Ohyama, Paul I. Palmer, Mahesh Pathakoti, David F. Pollard, Uwe Raffalski, Michel Ramonet, Robbie Ramsay, Mahesh Kumar Sha, Kei Shiomi, William Simpson, Wolfgang Stremme, Youwen Sun, Hiroshi Tanimoto, Yao Té, Gizaw Mengistu Tsidu, Voltaire A. Velazco, Felix Vogel, Masataka Watanabe, Chong Wei, Debra Wunch, Marcia Yamasoe, Lu Zhang, and Johannes Orphal
Atmos. Meas. Tech., 15, 2433–2463, https://doi.org/10.5194/amt-15-2433-2022, https://doi.org/10.5194/amt-15-2433-2022, 2022
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Space-borne greenhouse gas missions require ground-based validation networks capable of providing fiducial reference measurements. Here, considerable refinements of the calibration procedures for the COllaborative Carbon Column Observing Network (COCCON) are presented. Laboratory and solar side-by-side procedures for the characterization of the spectrometers have been refined and extended. Revised calibration factors for XCO2, XCO and XCH4 are provided, incorporating 47 new spectrometers.
Luc Bonnafous and Upmanu Lall
Nat. Hazards Earth Syst. Sci., 21, 2277–2284, https://doi.org/10.5194/nhess-21-2277-2021, https://doi.org/10.5194/nhess-21-2277-2021, 2021
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Extreme climate events can cause human and economic catastrophe at the global scale. For specific sectors, such as humanitarian aid or insurance, being able to understand how (i.e., with which frequency and intensity) these events can occur simultaneously at different locations or several times in a given amount of time and hit critical assets is all-important to design contingency plans. Here we develop an indicator to study co-occurence in space and time of wet and dry extremes.
Nevil Quinn, Günter Blöschl, András Bárdossy, Attilio Castellarin, Martyn Clark, Christophe Cudennec, Demetris Koutsoyiannis, Upmanu Lall, Lubomir Lichner, Juraj Parajka, Christa D. Peters-Lidard, Graham Sander, Hubert Savenije, Keith Smettem, Harry Vereecken, Alberto Viglione, Patrick Willems, Andy Wood, Ross Woods, Chong-Yu Xu, and Erwin Zehe
Proc. IAHS, 380, 3–8, https://doi.org/10.5194/piahs-380-3-2018, https://doi.org/10.5194/piahs-380-3-2018, 2018
Nevil Quinn, Günter Blöschl, András Bárdossy, Attilio Castellarin, Martyn Clark, Christophe Cudennec, Demetris Koutsoyiannis, Upmanu Lall, Lubomir Lichner, Juraj Parajka, Christa D. Peters-Lidard, Graham Sander, Hubert Savenije, Keith Smettem, Harry Vereecken, Alberto Viglione, Patrick Willems, Andy Wood, Ross Woods, Chong-Yu Xu, and Erwin Zehe
Hydrol. Earth Syst. Sci., 22, 5735–5739, https://doi.org/10.5194/hess-22-5735-2018, https://doi.org/10.5194/hess-22-5735-2018, 2018
Arun Ravindranath, Naresh Devineni, Upmanu Lall, and Paulina Concha Larrauri
Hydrol. Earth Syst. Sci., 22, 5125–5141, https://doi.org/10.5194/hess-22-5125-2018, https://doi.org/10.5194/hess-22-5125-2018, 2018
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We present a framework for forecasting water storage requirements in the agricultural sector and an application of this framework to water risk assessment in India. Our framework involves defining a crop-specific water stress index and applying a particular statistical forecasting model to predict seasonal water stress for the crop of interest. The application focused on forecasting crop water stress for potatoes grown during the monsoon season in the Satara district of Maharashtra.
Yenan Wu, Upmanu Lall, Carlos H.R. Lima, and Ping-an Zhong
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-22, https://doi.org/10.5194/hess-2018-22, 2018
Revised manuscript has not been submitted
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We develop a hierarchical Bayesian (HB) model to reduce uncertainties in flood frequency analysis and explore suitable mapping function linking GEV parameters with drainage area. The results of HB model are compared with ordinary GEV model and index flood method.The application shows HB model provides more adequate confidence intervals than other used methods. This model also provides a better way for using fragmented data with varying lengths for analyzing spatial distribution of flood frequency.
PAGES Hydro2k Consortium
Clim. Past, 13, 1851–1900, https://doi.org/10.5194/cp-13-1851-2017, https://doi.org/10.5194/cp-13-1851-2017, 2017
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Water availability is fundamental to societies and ecosystems, but our understanding of variations in hydroclimate (including extreme events, flooding, and decadal periods of drought) is limited due to a paucity of modern instrumental observations. We review how proxy records of past climate and climate model simulations can be used in tandem to understand hydroclimate variability over the last 2000 years and how these tools can also inform risk assessments of future hydroclimatic extremes.
Carlos H. R. Lima, Amir AghaKouchak, and Upmanu Lall
Earth Syst. Dynam., 8, 1071–1091, https://doi.org/10.5194/esd-8-1071-2017, https://doi.org/10.5194/esd-8-1071-2017, 2017
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Floods are the main natural disaster in Brazil, causing substantial economic damage and loss of life. Here we seek to better understand the flood-generating mechanisms in the flood-prone Paraná River basin, including large-scale patterns of the ocean and atmospheric circulation. This study provides new insights for understanding causes of floods in the region and around the world and is a step forward to improve flood risk management, statistical assessments, and short-term flood forecasts.
Rob Wilson, Rosanne D'Arrigo, Laia Andreu-Hayles, Rose Oelkers, Greg Wiles, Kevin Anchukaitis, and Nicole Davi
Clim. Past, 13, 1007–1022, https://doi.org/10.5194/cp-13-1007-2017, https://doi.org/10.5194/cp-13-1007-2017, 2017
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Blue intensity shows great potential for reconstructing past summer temperatures from conifer trees growing at high latitude or the treeline. However, conifer species that express a strong colour difference between the heartwood and sapwood can impart a long-term trend bias in the resultant reconstructions. Herein, we highlight this issue using eight mountain hemlock sites across the Gulf of Alaska and explore how a non-biased reconstruction of past temperature could be derived using such data.
Luc Bonnafous, Upmanu Lall, and Jason Siegel
Hydrol. Earth Syst. Sci., 21, 2075–2106, https://doi.org/10.5194/hess-21-2075-2017, https://doi.org/10.5194/hess-21-2075-2017, 2017
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While water-risk management plans for economic assets are the norm on a local basis, it is possible that there is correlation in the climate induced portfolio water risk across operational sites. Therefore, from an investor's perspective, a need exists for a water risk index that allows for an exploration of the possible space and/or time clustering in exposure across many sites. This paper represents an attempt to develop such an index using long daily global modelled rainfall data sets.
Zhenkuan Su, Zhenchun Hao, Michelle Ho, Upmanu Lall, Xun Sun, Xi Chen, and Longzeng Yan
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-159, https://doi.org/10.5194/hess-2017-159, 2017
Manuscript not accepted for further review
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We examined the potential to use the basin-scale rainfall to directly model the streamflow and evaluate the effect of dam operations on summer flow risk over Yangtze River Basin. The result show that floods and droughts experienced in the post dam period were amplified, driven, or alleviated. The approach demonstrated here enabled one to develop and test both the rainfall induced variations and changes due to human activities on a river.
Mengqian Lu and Upmanu Lall
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-403, https://doi.org/10.5194/hess-2016-403, 2016
Revised manuscript not accepted
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This paper studies the nexus of air moisture, heavy rain and floods in the Northeast USA, with key research questions of how the moisture from the tropics move to the region, how they are related to heavy rain and floods in the area for different seasons, and what are the roles of atmosphere and climate. The study demonstrates the utility of statistics to understand physical system. It provides a statistically and physically based framework that similar studies can be conducted for other areas.
B. Merz, J. Aerts, K. Arnbjerg-Nielsen, M. Baldi, A. Becker, A. Bichet, G. Blöschl, L. M. Bouwer, A. Brauer, F. Cioffi, J. M. Delgado, M. Gocht, F. Guzzetti, S. Harrigan, K. Hirschboeck, C. Kilsby, W. Kron, H.-H. Kwon, U. Lall, R. Merz, K. Nissen, P. Salvatti, T. Swierczynski, U. Ulbrich, A. Viglione, P. J. Ward, M. Weiler, B. Wilhelm, and M. Nied
Nat. Hazards Earth Syst. Sci., 14, 1921–1942, https://doi.org/10.5194/nhess-14-1921-2014, https://doi.org/10.5194/nhess-14-1921-2014, 2014
X. Chen, D. Naresh, L. Upmanu, Z. Hao, L. Dong, Q. Ju, J. Wang, and S. Wang
Hydrol. Earth Syst. Sci., 18, 1653–1662, https://doi.org/10.5194/hess-18-1653-2014, https://doi.org/10.5194/hess-18-1653-2014, 2014
X. Chen, Z. Hao, N. Devineni, and U. Lall
Hydrol. Earth Syst. Sci., 18, 1539–1548, https://doi.org/10.5194/hess-18-1539-2014, https://doi.org/10.5194/hess-18-1539-2014, 2014
B. Merz, H. Kreibich, and U. Lall
Nat. Hazards Earth Syst. Sci., 13, 53–64, https://doi.org/10.5194/nhess-13-53-2013, https://doi.org/10.5194/nhess-13-53-2013, 2013
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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
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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.
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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
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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.
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
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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).
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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
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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
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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
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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
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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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
Preprint under review for NHESS
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
Cited articles
Akaike, H.: A Bayesian extension of the minimum AIC procedure of
autoregressive model fitting, Biometrika, 66, 237–242, 1979.
Barnett, B. J. and Mahul, O.: Weather index insurance for agriculture and
rural areas in lower-income countries, Am. J. Agricult. Econ., 89, 1241–1247, 2007.
Batima, P., Natsagdorj, L., Gombluudev, P., and Erdenetsetseg, B.: Observed
climate change in Mongolia, Assess Imp Adapt Clim Change Work Pap. 12, 1–26,
Assessments of Impacts and Adaptations of Climate Change Project,
http://www.start.org/Projects/AIACC_Project/working_papers/Working Papers/AIACC_WP_No013.pdf (last access: 12 August 2022), 2005.
Bat-Oyun, T., Shinoda, M., Cheng, Y., and Purevdorj, Y.: Effects of grazing
and precipitation variability on vegetation dynamics in a Mongolian dry
steppe, J. Plant Ecol., 9, 508–519, 2016.
Bayasgalan, B., Mijiddorj, R., Gombluudev, P., Oyunbaatar, D., Bayasgalan, M., Tas, A., Narantuya, T., and Molomjamts, L.: Climate change and sustainable livelihood of rural people in Mongolia, The adaptation continuum: groundwork for the future, ETC Foundation, Leusden, 193–213, https://www.researchgate.net/publication/265533172_Climate_change_and_sustainable_livelihood_of_rural_people_in_Mongolia_Prepared_by
(last access: 24 June 2022), 2009.
Begzsuren, S., Ellis, J. E., Ojima, D. S., Coughenour, M. B., and Chuluun,
T.: Livestock responses to droughts and severe winter weather in the Gobi
Three Beauty National Park, Mongolia, J. Arid Environ., 59, 785–796, 2004.
Bell, A. R., Osgood, D. E., Cook, B. I., Anchukaitis, K. J., McCarney, G.
R., Greene, A. M., Buckley, B. M., and Cook, E. R.: Paleoclimate histories
improve access and sustainability in index insurance programs, Global Environ. Change, 23, 774–781, 2013.
Berger, J., Buuveibaatar, B., and Mishra, C.: Globalization of the cashmere
market and the decline of large mammals in Central Asia, Conserv. Biol., 27, 679–689, 2013.
Burnham, K. P. and Anderson, D. R.: Multimodel inference: understanding AIC
and BIC in model selection, Sociolog. Meth. Res., 33, 261–304, 2004.
Cheng, L., AghaKouchak, A., Gilleland, E., and Katz, R. W.: Non-stationary
extreme value analysis in a changing climate, Climatic Change, 127, 353–369,
2014.
Cohen, J., Foster, J., Barlow, M., Saito, K., and Jones, J.: Winter 2009–2010: A case study of an extreme Arctic Oscillation event, Geophys. Res. Lett., 37, L17707, https://doi.org/10.1029/2010GL044256, 2010.
Coles, S., Bawa, J., Trenner, L., and Dorazio, P.: An introduction to
statistical modeling of extreme values, Springer, https://doi.org/10.1007/978-1-4471-3675-0, 2001.
Cook, E. R., Anchukaitis, K. J., Buckley, B. M., D'Arrigo, R. D., Jacoby, G.
C., and Wright, W. E.: Asian monsoon failure and megadrought during the last
millennium, Science, 328, 486–489, 2010.
Dagvadorj, D., Natsagdorj, L., Dorjpurev, J., and Namkhainyam, B.: Mongolia
assessment report on climate change 2009, Ministry of Nature, Environment
and Tourism, Ulaanbaatar, 2, 34–46, https://www.unep.org/resources/report/assessment-report-climate-change-mongolia (last access: 24 June 2022), 2009.
Dai, A., Trenberth, K. E., and Qian, T.: A global dataset of Palmer Drought
Severity Index for 1870–2002: Relationship with soil moisture and effects
of surface warming, J. Hydrometeorol., 5, 1117–1130, 2004.
D'Arrigo, R., Jacoby, G., Frank, D., Pederson, N., Cook, E., Buckley, B.,
Nachin, B., Mijiddorj, R., and Dugarjav, C.: 1738 years of Mongolian
temperature variability inferred from a tree-ring width chronology of
Siberian pine, Geophys. Res. Lett., 28, 543–546, 2001.
Davi, N., Jacoby, G., Fang, K., Li, J., D'Arrigo, R., Baatarbileg, N., and
Robinson, D.: Reconstructing drought variability for Mongolia based on a
large-scale tree ring network: 1520–1993, J. Geophys. Res.-Atmos., 115, D22103, https://doi.org/10.1029/2010JD013907, 2010.
Davi, N. K., D'Arrigo, R., Jacoby, G., Cook, E. R., Anchukaitis, K., Nachin,
B., Rao, M. P., and Leland, C.: A long-term context (931–2005 CE) for rapid
warming over Central Asia, Quaternary Sci. Rev., 121, 89–97, 2015.
Davi, N. K., Rao, M., Wilson, R., Andreu-Hayles, L., Oelkers, R., D'Arrigo,
R., Nachin, B., Buckley, B., Pederson, N., and Leland, C.: Accelerated
Recent Warming and Temperature Variability over the Past Eight Centuries in
the Central Asian Altai from Blue Intensity in Tree Rings, Geophys. Res. Lett., 48, e2021GL092933, https://doi.org/10.1029/2021GL092933, 2021.
Johnson, D. A., Miller, D., and Damiran, D.: Mongolian rangelands in transition, Sécheresse, 17, 133–141, 2006.
Fernandez-Gimenez, M. E., Batkhishig, B., and Batbuyan, B.: Cross-boundary
and cross-level dynamics increase vulnerability to severe winter disasters
(dzud) in Mongolia, Global Environ. Change, 22, 836–851, 2012.
Field, C. B.: Special Report on Managing the Risks of Extreme Events and
Disasters to Advance Climate Change Adaptation: Summary for Policymakers: a
Report of Working Groups I and II of the IPCC, Published for the
Intergovernmental Panel on Climate Change, Cambridge University Press,
https://www.ipcc.ch/site/assets/uploads/2018/03/SREX_Full_Report-1.pdf
(last access: 24 June 2022), 2012.
Gao, J., Kirkby, M., and Holden, J.: The effect of interactions between
rainfall patterns and land-cover change on flood peaks in upland peatlands,
J. Hydrol., 567, 546–559, 2018.
Gilleland, E. and Katz, R. W.: extRemes 2.0: An extreme value analysis
package in R, Journal of Statistical Software, 72, 1-39, 2016.
Haraguchi, M.: A strategy for parametric flood insurance using proxies, in:
Innovations towards Climate-Induced Disaster Risk Assessment and Response,
Columbia University, https://doi.org/10.7916/D8QN7K6G, 2018.
Haraguchi, M. and Lall, U.: Concepts, frameworks, and policy tools for
disaster risk management: linking with climate change and sustainable
development, in: Sustainable Development in Africa: Concepts and Methodological Approaches, Spears Media Press, Denver, 57–84, ISBN 978-1-942876-45-8, 2019.
Haraguchi, M., Lall, U., and Watanabe, K.: Building Private Sector Resilience: Directions After the 2015 Sendai Framework, J. Disast. Res., 11, 535, https://doi.org/10.20965/jdr.2016.p0535, 2016.
Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated
high-resolution grids of monthly climatic observations – the CRU TS3.10
Dataset, Int. J. Climatol., 34, 623–642, 2014.
He, S., Gao, Y., Li, F., Wang, H., and He, Y.: Impact of Arctic Oscillation
on the East Asian climate: A review, Earth-Sci. Rev., 164, 48–62, 2017.
Hessl, A. E., Anchukaitis, K. J., Jelsema, C., Cook, B., Byambasuren, O.,
Leland, C., Nachin, B., Pederson, N., Tian, H., and Hayles, L. A.: Past and
future drought in Mongolia, Sci. Adv., 4, e1701832, https://doi.org/10.1126/sciadv.1701832, 2018.
Hilker, T., Natsagdorj, E., Waring, R. H., Lyapustin, A., and Wang, Y.:
Satellite observed widespread decline in Mongolian grasslands largely due to
overgrazing, Global Change Biol., 20, 418–428, 2014.
Iijima, Y. and Hori, M. E.: Cold air formation and advection over Eurasia
during “dzud” cold disaster winters in Mongolia, Nat. Hazards, 92,
45–56, 2018.
Jacoby, G. C., D'Arrigo, R. D., and Davaajamts, T.: Mongolian tree rings and
20th-century warming, Science, 273, 771–773, 1996.
Johnson, S. C.: Hierarchical clustering schemes, Psychometrika, 32, 241–254,
1967.
Kakinuma, K., Yanagawa, A., Sasaki, T., Rao, M. P., and Kanae, S.:
Socio-ecological interactions in a changing climate: a review of the Mongolian pastoral system, Sustainability, 11, 5883, https://doi.org/10.3390/su11215883, 2019.
Katz, R. W.: Statistics of extremes in climate change, Climatic Change, 100,
71–76, 2010.
Katz, R. W.: Statistical methods for nonstationary extremes, in: Extremes in
a changing climate, Springer, 15–37, https://doi.org/10.1007/978-94-007-4479-0_2, 2013.
Katz, R. W., Parlange, M. B., and Naveau, P.: Statistics of extremes in
hydrology, Adv. Water Resour., 25, 1287–1304, 2002.
Kendall, M. G.: Rank correlation methods, https://psycnet.apa.org/record/1948-15040-000 (last access:
24 June 2022), 1948.
Lall, U., Devineni, N., and Kaheil, Y.: An empirical, nonparametric simulator for multivariate random variables with differing marginal densities and nonlinear dependence with hydroclimatic applications, Risk Anal., 36, 57–73, 2016.
Lawrimore, H., Menne, M. J., Gleason, B. E., Williams, C. N., Wuertz, D. B., Vose, R. S., and Rennie, J.: An overview of the Global Historical Climatology Network monthly mean temperature data set, version 3, J. Geophys. Res., 116, D19121, https://doi.org/10.1029/2011JD016187, 2011.
Leonard, M., Westra, S., Phatak, A., Lambert, M., van den Hurk, B., McInnes,
K., Risbey, J., Schuster, S., Jakob, D., and Stafford-Smith, M.: A compound
event framework for understanding extreme impacts, Wiley Interdisciplin. Rev.: Clim. Change, 5, 113–128, 2014.
Li, Y., Tong, S., Bao, Y., Guo, E., and Bao, Y.: Prediction of Droughts in the Mongolian Plateau Based on the CMIP5 Model, Water, 12, 2774, https://doi.org/10.3390/w12102774, 2020.
Liu, J., Hull, V., Batistella, M., DeFries, R., Dietz, T., Fu, F., Hertel,
T. W., Izaurralde, R. C., Lambin, E. F., and Li, S.: Framing sustainability
in a telecoupled world, Ecol. Soc., 18,26, https://doi.org/10.5751/ES-05873-180226, 2013.
Loader, C.: Local regression and likelihood, Springer Science & Business
Media, ISBN 0387227326, 2006.
Mahul, O. and Skees, J. R.: Managing agricultural risk at the country level:
The case of index-based livestock insurance in Mongolia, World Bank Policy
Research Working Paper, http://hdl.handle.net/10986/7273 (last access:
24 June 2022), 2007.
Mahul, O. and Stutley, C. J.: Government support to agricultural insurance:
challenges and options for developing countries, World Bank Publications, http://hdl.handle.net/10986/7273 (last access: 24 June 2022), 2010.
Mahul, O., Belete, N., and Goodland, A.: Innovations in insuring the poor:
Index-based livestock insurance in Mongolia, http://www.ifpri.org/publication/index-based-livestock-insurance-mongolia
(last access: 24 June 2022), 2015.
Mann, H. B.: Nonparametric tests against trend, Econometrica, 13, 245–259, 1945.
McSharry, P.: The role of scientific modelling and insurance in providing
innovative solutions for managing the risk of natural disasters, in: Reducing Disaster: Early Warning Systems For Climate Change, Springer, 325–338, https://doi.org/10.1007/978-94-017-8598-3_17, 2014.
Middleton, N., Rueff, H., Sternberg, T., Batbuyan, B., and Thomas, D.:
Explaining spatial variations in climate hazard impacts in western Mongolia,
Landscape Ecol., 30, 91–107, 2015.
Minářová, J., Müller, M., Clappier, A., Hänsel, S., Hoy,
A., Matschullat, J., and Kašpar, M.: Duration, rarity, affected area,
and weather types associated with extreme precipitation in the Ore Mountains
(Erzgebirge) region, Central Europe, Int. J. Climatol., 37, 4463–4477, 2017.
Morinaga, Y., Tian, S. F., and Shinoda, M.: Winter snow anomaly and atmospheric circulation in Mongolia, Int. J. Climatol., 23, 1627–1636, 2003.
Munkhjargal, E., Shinoda, M., Iijima, Y., and Nandintseteseg, B.: Recently
increased cold air outbreaks over Mongolia and their specific synoptic pattern, Int. J. Climatol., 40, 5502–5514, 2020.
Natsagdorj, L.: Some aspects of assessment of the dzud phenomena, Pap. Meteorol. Hydrol., 23, 3–18, 2001.
Palmer, W. C.: Meteorological drought, Vol. 30), US Department of Commerce, Weather Bureau, Washington, DC, USA, https://www.droughtmanagement.info/literature/USWB_Meteorological_Drought_1965.pdf (last access: 24 June 2022), 1965.
Prosdocimi, I., Kjeldsen, T., and Miller, J.: Detection and attribution of
urbanization effect on flood extremes using nonstationary flood-frequency
models, Water Resour. Res., 51, 4244–4262, 2015.
Rao, M. P., Davi, N. K., D D'Arrigo, R., Skees, J., Nachin, B., Leland, C.,
Lyon, B., Wang, S.-Y., and Byambasuren, O.: Dzuds, droughts, and livestock
mortality in Mongolia, Environ. Res. Lett., 10, 074012, https://doi.org/0.1088/1748-9326/10/7/074012, 2015.
Read, L. K. and Vogel, R. M.: Reliability, return periods, and risk under
nonstationarity, Water Resour. Res., 51, 6381–6398, 2015.
Reading, R. P., Bedunah, D. J., and Amgalanbaatar, S.: Conserving biodiversity on Mongolian rangelands: implications for protected area
development and pastoral uses, in: comps. 2006, Rangelands of Central Asia:
Proceedings of the Conference on Transformations, Issues, and Future
Challenges, 27 January 2004, Salt Lake City, UT, Proceeding RMRS-P-39, US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO, 1–17, https://www.researchgate.net/publication/265758791_Conserving_Biodiversity_on_Mongolian_Rangelands_Implications_for_Protected_Area_Development_and_Pastoral_Uses
(last access: 24 June 2022), 2006.
Reynolds, J. F., Smith, D. M. S., Lambin, E. F., Turner, B., Mortimore, M.,
Batterbury, S. P., Downing, T. E., Dowlatabadi, H., Fernández, R. J.,
and Herrick, J. E.: Global desertification: building a science for dryland
development, Science, 316, 847–851, 2007.
Rootzén, H. and Katz, R. W.: Design life level: quantifying risk in a
changing climate, Water Resour. Res., 49, 5964–5972, 2013.
Salas, J. D. and Obeysekera, J.: Revisiting the concepts of return period and risk for nonstationary hydrologic extreme events, J. Hydrol. Eng., 19, 554–568, 2014.
Skees, J. R. and Enkh-Amgalan, A.: Examining the feasibility of livestock
insurance in Mongolia, World Bank Publications, http://hdl.handle.net/10986/19291 (last access: 24 June 2022), 2002.
Slater, L. J., Anderson, B., Buechel, M., Dadson, S., Han, S., Harrigan, S., Kelder, T., Kowal, K., Lees, T., Matthews, T., Murphy, C., and Wilby, R. L.: Nonstationary weather and water extremes: a review of methods for their detection, attribution, and management, Hydrol. Earth Syst. Sci., 25, 3897–3935, https://doi.org/10.5194/hess-25-3897-2021, 2021.
Tachiiri, K., Shinoda, M., Klinkenberg, B., and Morinaga, Y.: Assessing
Mongolian snow disaster risk using livestock and satellite data, J. Arid Environ., 72, 2251–2263, 2008.
The World Data Service for Paleoclimatology: the International Tree-Ring Data Bank, NOAA, https://www.ncei.noaa.gov/products/paleoclimatology/tree-ring, last access: 16 August 2022.
Thompson, D. W. and Wallace, J. M.: The Arctic Oscillation signature in the
wintertime geopotential height and temperature fields, Geophys. Res. Lett., 25, 1297–1300, 1998.
Van Buuren, S. and Groothuis-Oudshoorn, K.: mice: Multivariate imputation by
chained equations in R, J. Stat. Softw., 45, 1–67, 2011.
Willner, S. N., Levermann, A., Zhao, F., and Frieler, K.: Adaptation required to preserve future high-end river flood risk at present levels, Sci. Adv., 4, eaao1914, https://doi.org/10.1126/sciadv.aao1914, 2018.
World Meteorological Organization: Climate Explorer, World Meteorological Organization, http://climexp.knmi.nl/start.cgi, last access: 24 June 2022.
Yu, Y., Ren, R., and Cai, M.: Comparison of the mass circulation and AO
indices as indicators of cold air outbreaks in northern winter, Geophys. Res. Lett., 42, 2442–2448, 2015.
Zscheischler, J., Martius, O., Westra, S., Bevacqua, E., Raymond, C.,
Horton, R. M., van den Hurk, B., AghaKouchak, A., Jézéquel, A., and
Mahecha, M. D.: A typology of compound weather and climate events, Nat. Rev. Earth Environ., 1, 333–347, 2020.
Short summary
Mass livestock mortality during severe winters (dzud in Mongolian) is a compound event. Summer droughts are a precondition for dzud. We estimate the return levels of relevant variables: summer drought conditions and minimum winter temperature. The result shows that the return levels of drought conditions vary over time. Winter severity, however, is constant. We link climatic factors to socioeconomic impacts and draw attention to the need for index insurance.
Mass livestock mortality during severe winters (dzud in Mongolian) is a compound event. Summer...
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