Articles | Volume 16, issue 12
https://doi.org/10.5194/nhess-16-2769-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-2769-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Assessing population exposure for landslide risk analysis using dasymetric cartography
Ricardo A. C. Garcia
CORRESPONDING AUTHOR
Centre for Geographical Studies, Institute of Geography and Spatial Planning, Universidade de Lisboa, Lisbon, 1600-276, Portugal
Sérgio C. Oliveira
Centre for Geographical Studies, Institute of Geography and Spatial Planning, Universidade de Lisboa, Lisbon, 1600-276, Portugal
José L. Zêzere
Centre for Geographical Studies, Institute of Geography and Spatial Planning, Universidade de Lisboa, Lisbon, 1600-276, Portugal
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Abdellah Khouz, Jorge Trindade, Sérgio C. Oliveira, Fatima El Bchari, Blaid Bougadir, Ricardo A. C. Garcia, and Mourad Jadoud
Nat. Hazards Earth Syst. Sci., 22, 3793–3814, https://doi.org/10.5194/nhess-22-3793-2022, https://doi.org/10.5194/nhess-22-3793-2022, 2022
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The aim of this study was to assess the landslide susceptibility of the rocky coast of Essaouira using the information value model. The resulting susceptibility maps could be used for both environmental protection and general planning of future development activities.
Teresa Vaz, José Luís Zêzere, Susana Pereira, Sérgio Cruz Oliveira, Ricardo A. C. Garcia, and Ivânia Quaresma
Nat. Hazards Earth Syst. Sci., 18, 1037–1054, https://doi.org/10.5194/nhess-18-1037-2018, https://doi.org/10.5194/nhess-18-1037-2018, 2018
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This work proposes a comprehensive method to assess rainfall thresholds for landslide initiation using centenary landslide and rainfall data. The method includes the identification of critical rainfall related to each landslide event, the calculation and calibration of rainfall thresholds and the evaluation of rain gauge spatial representativeness. Results show that thresholds based on a probabilistic approach are highly recommended and can be easily included in early warning systems.
C. Guillard-Gonçalves, J. L. Zêzere, S. Pereira, and R. A. C. Garcia
Nat. Hazards Earth Syst. Sci., 16, 311–331, https://doi.org/10.5194/nhess-16-311-2016, https://doi.org/10.5194/nhess-16-311-2016, 2016
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This paper presents a semi-quantitative assessment of the physical vulnerability of buildings to landslides, and quantitative landslide risk analysis computed as the product of the landslide hazard by the vulnerability and the economic value of the buildings. The work was developed for a Portuguese municipality (Loures). The highest risk was found for the landslides 3 m deep, because these landslides combine a relatively high frequency with a substantial potential damage.
Fabiola Banfi, Emanuele Bevacqua, Pauline Rivoire, Sérgio C. Oliveira, Joaquim G. Pinto, Alexandre M. Ramos, and Carlo De Michele
Nat. Hazards Earth Syst. Sci., 24, 2689–2704, https://doi.org/10.5194/nhess-24-2689-2024, https://doi.org/10.5194/nhess-24-2689-2024, 2024
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Landslides are complex phenomena causing important impacts in vulnerable areas, and they are often triggered by rainfall. Here, we develop a new approach that uses information on the temporal clustering of rainfall, i.e. multiple events close in time, to detect landslide events and compare it with the use of classical empirical rainfall thresholds, considering as a case study the region of Lisbon, Portugal. The results could help to improve the prediction of rainfall-triggered landslides.
Abdellah Khouz, Jorge Trindade, Sérgio C. Oliveira, Fatima El Bchari, Blaid Bougadir, Ricardo A. C. Garcia, and Mourad Jadoud
Nat. Hazards Earth Syst. Sci., 22, 3793–3814, https://doi.org/10.5194/nhess-22-3793-2022, https://doi.org/10.5194/nhess-22-3793-2022, 2022
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The aim of this study was to assess the landslide susceptibility of the rocky coast of Essaouira using the information value model. The resulting susceptibility maps could be used for both environmental protection and general planning of future development activities.
Rafaello Bergonse, Sandra Oliveira, José Luís Zêzere, Francisco Moreira, Paulo Flores Ribeiro, Miguel Leal, and José Manuel Lima e Santos
EGUsphere, https://doi.org/10.5194/egusphere-2022-342, https://doi.org/10.5194/egusphere-2022-342, 2022
Preprint archived
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We distinguish fire regimes in Central Portugal and investigate the degree to which they are influenced by a set of biophysical drivers. Results show four fire regimes and indicate these can be differentiated using biophysical drivers, among which land use/land cover type, slope and spring rainfall are the foremost. Our results highlight the relations between vegetation (type, availability, and rate of regeneration) and topography with fire regimes in the study area.
Olga Petrucci, Luigi Aceto, Cinzia Bianchi, Victoria Bigot, Rudolf Brázdil, Moshe Inbar, Abdullah Kahraman, Özgenur Kılıç, Vassiliki Kotroni, Maria Carmen Llasat, Montserrat Llasat-Botija, Michele Mercuri, Katerina Papagiannaki, Susana Pereira, Jan Řehoř, Joan Rossello Geli, Paola Salvati, Freddy Vinet, and José Luis Zêzere
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-154, https://doi.org/10.5194/essd-2020-154, 2020
Preprint withdrawn
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EUFF 2020 database (EUropean Flood Fatalities-FF) contains 2483 flood fatalities (1980–2018) occurred in 8 countries. Gender, age, activity of FF and dynamics of accidents were obtained from documentary sources. 64.8 % of FF were killed by floods killing less than 10 people. Males were more numerous than females due higher proportion of them driving and working outdoors. FF 30–64 years old died traveling to home/work, driving vehicles dragged by water. Elderly people were trapped indoor by flood.
Teresa Vaz, José Luís Zêzere, Susana Pereira, Sérgio Cruz Oliveira, Ricardo A. C. Garcia, and Ivânia Quaresma
Nat. Hazards Earth Syst. Sci., 18, 1037–1054, https://doi.org/10.5194/nhess-18-1037-2018, https://doi.org/10.5194/nhess-18-1037-2018, 2018
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This work proposes a comprehensive method to assess rainfall thresholds for landslide initiation using centenary landslide and rainfall data. The method includes the identification of critical rainfall related to each landslide event, the calculation and calibration of rainfall thresholds and the evaluation of rain gauge spatial representativeness. Results show that thresholds based on a probabilistic approach are highly recommended and can be easily included in early warning systems.
Raquel Melo, Theo van Asch, and José L. Zêzere
Nat. Hazards Earth Syst. Sci., 18, 555–570, https://doi.org/10.5194/nhess-18-555-2018, https://doi.org/10.5194/nhess-18-555-2018, 2018
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Only two months after a huge forest fire occurred in the upper part of a valley located in central Portugal, several debris flows were triggered by intense rainfall. This research aims to simulate the debris flow run-out for the entire basin, using a dynamic model. Three scenarios were developed and the results were confronted with the existing buildings exposed in the study area. The worst-case scenario showed a potential inundation that may affect 345 buildings.
Sérgio C. Oliveira, José L. Zêzere, Sara Lajas, and Raquel Melo
Nat. Hazards Earth Syst. Sci., 17, 1091–1109, https://doi.org/10.5194/nhess-17-1091-2017, https://doi.org/10.5194/nhess-17-1091-2017, 2017
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Approaches to assess shallow slide susceptibility at the basin scale are conceptually different depending on the use of statistical or physically based methods. Two hypotheses are tested: (i) both methods generate similar shallow slide susceptibility results and (ii) the combination of both susceptibility maps generates a more reliable susceptibility model. Model combinations registered a higher predictive capacity and the identification of areas where the results from both models are uncertain.
S. Pereira, A. M. Ramos, J. L. Zêzere, R. M. Trigo, and J. M. Vaquero
Nat. Hazards Earth Syst. Sci., 16, 371–390, https://doi.org/10.5194/nhess-16-371-2016, https://doi.org/10.5194/nhess-16-371-2016, 2016
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This work explores the meteorological conditions of the hydro-geomorphologic event of December 1909 that triggered the highest floods in more than 100 years at the Douro river's mouth and caused important social impacts over the Portuguese and Spanish territories.
The study of this extreme event contributes to a comprehensive and systematic synoptic evaluation of the second most deadly hydro-geomorphologic disaster event occurred in Portugal since 1865.
C. Guillard-Gonçalves, J. L. Zêzere, S. Pereira, and R. A. C. Garcia
Nat. Hazards Earth Syst. Sci., 16, 311–331, https://doi.org/10.5194/nhess-16-311-2016, https://doi.org/10.5194/nhess-16-311-2016, 2016
Short summary
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This paper presents a semi-quantitative assessment of the physical vulnerability of buildings to landslides, and quantitative landslide risk analysis computed as the product of the landslide hazard by the vulnerability and the economic value of the buildings. The work was developed for a Portuguese municipality (Loures). The highest risk was found for the landslides 3 m deep, because these landslides combine a relatively high frequency with a substantial potential damage.
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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
Aubrecht, C., Köstl, M., and Steinnocher, K.: Population exposure and impact assessment: Benefits of modeling urban land use in very high spatial and thematic detail, in: Computational Vision and Medical Image Processing: Recent Trends, Computational Methods in Applied Sciences, 19, Springer, Dordrecht, Heidelberg, New York, London, 75–89, https://doi.org/10.1007/978-94-007-0011-6_4, 2010.
Aubrecht, C., Dilek, Ö, Steinnocher, K., and Freire, S.: Multi-level geospatial modeling of human exposure, patterns and vulnerability indicators, Nat. Hazards, 68, 147–163, https://doi.org/10.1007/s11069-012-0389-9, 2013.
Bell, R. and Glade, T.: Quantitative risk analysis for landslides – Examples from Bíldudalur, NW Iceland, Nat. Hazards Earth Syst. Sci., 4, 117–131, https://doi.org/10.5194/nhess-4-117-2004, 2004.
Bhaduri, B., Bright, E., Coleman, P., and Dobson, J.: LandScan: Locating People is What Matters, Geoinformatics, 5, 34–37, 2002.
Brabb, E. E.: Innovative Approaches to Landslide Hazard and Risk Mapping, in: Proceedings 4th International Symposium on Landslides, Canadian Geotechnical Society, Toronto, 307–323, 1984.
Chen, K., McAneney, J., Blong, R., Leigh, R., Hunter, L., and Magill, C.: Defining area at risk and its effect in catastrophe loss estimation: a dasymetric mapping approach, Appl. Geogr., 24, 97–117, https://doi.org/10.1016/j.apgeog.2004.03.005, 2004.
Chung, C.-J. F. and Fabbri, A. G.: Validation of spatial prediction models for landslide hazard mapping, Nat. Hazards, 30, 451–472, https://doi.org/10.1023/B:NHAZ.0000007172.62651.2b, 2003.
Chung, C.-J. F. and Fabbri, A. G.: Predicting landslides for risk analysis – Spatial models tested by a cross-validation technique, Geomorphology, 94, 438–452, https://doi.org/10.1016/j.geomorph.2006.12.036, 2008.
Corominas, J., van Westen, C., Frattini, P., Cascini, L., Malet, J.-P., Fotopoulou, S., Catani, F., Van Den Eeckhaut, M., Mavrouli, O., Agliardi, F., Pitilakis, K., Winter, M. G., Pastor, M., Ferlisi, S., Tofani, V., Hervas, J., and Smith, J. T.: Recommendations for the quantitative analysis of landslide risk, Bull. Eng. Geol. Environ., 73, 209–263, 2014.
Cruden, D. and Fell, R. (Eds.): Landslide risk assessment, in: Proceedings of the International Workshop on Landslide Risk Assessment, 19–21 February 1997, Honolulu, Hawai, USA, A. A. Balkema, Rotterdam, Brookfield, 1997.
Cutter, S. L., Boruff, B. J., and Shirley, W. L.: Social vulnerability to environmental hazards, Soc. Sci. Quart., 84, 242-261, https://doi.org/10.1111/1540-6237.8402002, 2003.
Dai, F. C., Lee, C. F., and Ngai, Y. Y.: Landslide risk assessment and management: an overview, Eng. Geol., 64, 65–87, https://doi.org/10.1016/S0013-7952(01)00093-X, 2002.
Deichmann, U., Ehrlich, D., Small, C., and Zeug, G.: Using high resolution satellite data for identification of urban natural risk, European Union and World Bank, Washington, 2011.
dos Santos, P. P., Tavares, A. O., and Zêzere, J. L.: Risk analysis for local management from hydro-geomorphologic disaster databases, Environ. Sci. Policy, 40, 85–100, https://doi.org/10.1016/j.envsci.2013.12.007, 2014.
Eicher, C. L. and Brewer, C. A.: Dasymetric mapping and areal interpolation: implementation and evaluation, Cartogr. Geogr. Inform., 28, 125–138, https://doi.org/10.1559/152304001782173727, 2001.
Evans, S. G.: Landslide risk – systematic approaches to assessment and management, in Landslide Risk Assessment, in: Proceedings of the International Workshp on Landslide Risk Assessment, Honolulu, A. A. Balkema, Rotterdam, 25–50, 1997.
Fisher, P. and Langford, M.: Modeling sensitivity to accuracy in classified imagery: A study of areal interpolation by dasymetric mapping, Prof. Geogr., 48, 299–309, https://doi.org/10.1111/j.0033-0124.1996.00299.x, 1996.
Flowerdew, R. and Green, M.: Developments in areal interpolation methods and GIS, Ann. Reg. Sci., 26, 67–78, https://doi.org/10.1007/BF01581481, 1992.
Fraser, S. A., Wood, N. J., Johnston, D. M., Leonard, G. S., Greening, P. D., and Rossetto, T.: Variable population exposure and distributed travel speeds in least-cost tsunami evacuation modelling, Nat. Hazards Earth Syst. Sci., 14, 2975–2991, https://doi.org/10.5194/nhess-14-2975-2014, 2014.
Freire, S. and Aubrecht, C.: Integrating population dynamics into mapping human exposure to seismic hazard, Nat. Hazards Earth Syst. Sci., 12, 3533–3543, https://doi.org/10.5194/nhess-12-3533-2012, 2012.
Freire, S., Aubrecht, C., and Wegscheider, S.: When the tsunami comes to town – improving evacuation modeling by integrating high-resolution population exposure, in: Proceedings of the 9th International ISCRAM Conference, April 2012, Vancouver, Canada, 2012.
Fuchs, S.: Susceptibility versus resilience to mountain hazards in Austria – paradigms of vulnerability revisited, Nat. Hazards Earth Syst. Sci., 9, 337–352, https://doi.org/10.5194/nhess-9-337-2009, 2009.
Fuchs, S., Kuhlicke, C., and Meyer, V.: Editorial for the special issue: vulnerability to natural hazards – the challenge of integration, Nat. Hazards, 58, 609–619, https://doi.org/10.1007/s11069-011-9825-5, 2011.
Fuchs, S., Keiler, M., Sokratov, S., and Shnyparkov, A.: Spatiotemporal dynamics: the need for an innovative approach in mountain hazard risk management, Nat. Hazards, 68, 1217–1241, https://doi.org/10.1007/s11069-012-0508-7, 2013.
Fuchs, S., Keiler, M., and Zischg, A.: A spatiotemporal multi-hazard exposure assessment based on property data, Nat. Hazards Earth Syst. Sci., 15, 2127–2142, https://doi.org/10.5194/nhess-15-2127-2015, 2015.
Gallego, F. J.: A population density grid of the European Union, Popul. Environ., 31, 460–473, https://doi.org/10.1007/s11111-010-0108-y, 2010.
Galli, M. and Guzzetti, F.: Landslide vulnerability criteria: A case study from Umbria, central Italy, Environ. Manage., 40, 649–664, https://doi.org/10.1007/s00267-006-0325-4, 2007.
Garcia, R. A. C.: Metodologias de avaliação da perigosidade e risco associado a movimentos de vertente: aplicação na bacia do rio Alenquer, PhD thesis, Universidade Lisboa, Lisboa, 2012.
Guillard, C. and Zezere, J.: Landslide Susceptibility Assessment and Validation in the Framework of Municipal Planning in Portugal: The Case of Loures Municipality, Environ. Manage., 50, 721–735, https://doi.org/10.1007/s00267-012-9921-7, 2012.
Guillard-Gonçalves, C., Cutter, S. L., Emrich, C. T., and Zêzere, J. L.: Application of Social Vulnerability Index (SoVI) and delineation of natural risk zones in Greater Lisbon, Portugal, J. Risk Res., 18, 651–674, https://doi.org/10.1080/13669877.2014.910689, 2015.
Guillard-Gonçalves, C., Zêzere, J. L., Pereira, S., and Garcia, R. A. C.: Assessment of physical vulnerability of buildings and analysis of landslide risk at the municipal scale: application to the Loures municipality, Portugal, Nat. Hazards Earth Syst. Sci., 16, 311–331, https://doi.org/10.5194/nhess-16-311-2016, 2016.
Guzzetti, F.: Landslide fatalities and the evaluation of landslide risk in Italy, Eng. Geol., 58, 89–107, https://doi.org/10.1016/S0013-7952(00)00047-8, 2000.
Guzzetti, F., Carrara, A., Cardinali, M., and Reichenbach, P.: Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy, Geomorphology, 31, 181–216, https://doi.org/10.1016/S0169-555X(99)00078-1, 1999.
Guzzetti, F., Stark, C. P., and Salvati, P.: Evaluation of Flood and Landslide Risk to the Population of Italy, Environ. Manage., 36, 15–36, https://doi.org/10.1007/s00267-003-0257-1, 2005.
Holt, J. B., Lo, C. P., and Hodler, T. W.: Dasymetric Estimation of Population Density and Areal Interpolation of Census Data, Cartogr. Geogr. Inf. Sci., 31, 103–121, https://doi.org/10.1559/1523040041649407, 2004.
HSE – Health and Safety Executive: The tolerability of Risk from nuclear power stations, revised, HMSO, London, UK, 1992.
Kappes, M. S., Papathoma-Köhle, M., and Keiler, M.: Assessing physical vulnerability for multihazards using an indicator-based methodology, Appl. Geogr., 32, 577–590, https://doi.org/10.1016/j.apgeog.2011.07.002, 2012.
Karagiorgos, K., Thaler, T., Hübl, J., Maris, F., and Fuchs, S.: Multi-vulnerability analysis for flash flood risk management, Nat. Hazards, 82, 63–87, https://doi.org/10.1007/s11069-016-2296-y, 2016.
Kaynia, A. M., Papathoma-Köhle, M., Neuhäuser, B., Ratzinger, K., Wenzel, H., and Medina-Cetina, Z.: Probabilistic assessment of vulnerability to landslide: Application to the village of Lichtenstein, Baden-Württemberg, Germany, Eng. Geol., 101, 33–48, https://doi.org/10.1016/j.enggeo.2008.03.008, 2008.
Keiler, M.: Development of the damage potential resulting from avalanche risk in the period 1950–2000, case study Galtür, Nat. Hazards Earth Syst. Sci., 4, 249–256, https://doi.org/10.5194/nhess-4-249-2004, 2004.
Keiler, M., Zischg, A., Fuchs, S., Hama, M., and Stötter, J.: Avalanche related damage potential – changes of persons and mobile values since the mid-twentieth century, case study Galtür, Nat. Hazards Earth Syst. Sci., 5, 49–58, https://doi.org/10.5194/nhess-5-49-2005, 2005.
Kienberger, S., Lang, S., and Zeil, P.: Spatial vulnerability units – expert-based spatial modeling of socio-economic vulnerability in the Salzach catchment, Austria, Nat. Hazards Earth Syst. Sci., 9, 767–778, https://doi.org/10.5194/nhess-9-767-2009, 2009.
Langford, M.: Rapid facilitation of dasymetric-based population interpolation by means of raster pixel maps, Comput. Environ. Urban Syst., 31, 19–32, https://doi.org/10.1016/j.compenvurbsys.2005.07.005, 2007.
Langford, M. and Unwin, D. J.: Generating and mapping population density surfaces within a geographical information system, Cartogr. J., 31, 21–26, https://doi.org/10.1179/000870494787073718, 1994.
Langford, M., Higgs, G., Radcliffe, J., and White, S.: Urban population distribution models and service accessibility estimation, Comput. Environ. Urban Syst., 32, 66–80, https://doi.org/10.1016/j.compenvurbsys.2007.06.001, 2008.
Maantay, J. and Maroko, A.: Mapping urban risk: Flood hazards, race, & environmental justice in New York, Appl. Geogr., 29, 111–124, https://doi.org/10.1016/j.apgeog.2008.08.002, 2009.
Mendes, J. M.: Social vulnerability indexes as planning tools: beyond the preparedness paradigm, J. Risk Res., 12, 43–58, https://doi.org/10.1080/13669870802447962, 2009.
Mendes, J. M., Tavares, A. O., Freiria, S., and Cunha, L.: Social vulnerability to natural and technological hazards: The relevance of scale, in: Reliability, Risk and Safety: Theory and Applications, vol. 1, edited by: Briš, R., Guedes Soares, C., and Martorell, S., Taylor & Francis Group, London, 445–451, 2010.
Mennis, J.: Generating Surface Models of Population Using Dasymetric Mapping, Prof. Geogr., 55, 31–42, https://doi.org/10.1111/0033-0124.10042/abstract, 2003.
Mennis, J. and Hultgren, T.: Intelligent dasymetric mapping and its application to areal interpolation, Cartogr. Geogr. Inf. Sci., 33, 179–194, https://doi.org/10.1559/152304006779077309, 2006.
Michael-Leiba, M., Baynes, F., Scott, G., and Granger, K.: Regional landslide risk to the Cairns community, Nat. Hazards, 30, 233–249, https://doi.org/10.1023/A:1026122518661, 2003.
Nathan, J. W., Burton, C. G., and Cutter, S. L.: Community variatons in social vulnerability to Cascadia-related tsunamis in the U.S. Pacific Northywest, Nat. Hazards, 52, 369–389, https://doi.org/10.1007/s11069-009-9376-1, 2010.
Oliveira, S. C., Zêzere, J., L., Catalão, J., and Nico, G.: The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas, Landslides, 12, 703–719, https://doi.org/10.1007/s10346-014-0522-9, 2015.
Papathoma-Köhle, M., Neuhäuser, B., Ratzinger, K., Wenzel, H., and Dominey-Howes, D.: Elements at risk as a framework for assessing the vulnerability of communities to landslides, Nat. Hazards Earth Syst. Sci., 7, 765–779, https://doi.org/10.5194/nhess-7-765-2007, 2007.
Papathoma-Köhle, M.: Vulnerability curves vs. vulnerability indicators: application of an indicator-based methodology for debris-flow hazards, Nat. Hazards Earth Syst. Sci., 16, 1771–1790, https://doi.org/10.5194/nhess-16-1771-2016, 2016.
Papathoma-Köhle, M., Kappes, M., Keiler, M., and Glade, T.: Physical vulnerability assessment for alpine hazards: state of the art and future needs, Nat. Hazards, 58, 645–680, https://doi.org/10.1007/s11069-010-9632-4, 2011.
Papathoma-Köhle, M., Keiler, M., Totschnig, R., and Glade, T.: Improvement of vulnerability curves using data from extreme events: debris flow event in South Tyrol, Nat. Hazards, 64, 2083–2105, https://doi.org/10.1007/s11069-012-0105-9, 2012.
Pereira, S., Zêzere, J. L., and Bateira, C.: Technical Note: Assessing predictive capacity and conditional independence of landslide predisposing factors for shallow landslide susceptibility models, Nat. Hazards Earth Syst. Sci., 12, 979–988, https://doi.org/10.5194/nhess-12-979-2012, 2012.
Pereira, S., Zêzere, J. L., Quaresma, I., Santos, P. P., and Santos, M.: Mortality Patterns of Hydro-Geomorphologic Disasters, Risk Anal., 36, 1188–1210, https://doi.org/10.1111/risa.12516, 2016.
Petrucci, O. and Gullà, G.: A simplified method for assessing landslide damage indices, Nat. Hazards, 52, 539–560, https://doi.org/10.1007/s11069-009-9398-8, 2010.
Piedade, A., Zezere, J. L., Garcia, R. A. C., and Oliveira, S.: Modelos de suceptibilidade a deslizamentos superficiais translacionais na região a norte de Lisboa, Finisterra, 46, 9–26, 2011.
Promper, C. and Glade, T.: Multilayer-exposure maps as a basis for a regional vulnerability assessment for landslides: applied in Waidhofen/Ybbs, Austria, Nat. Hazards, 82, S111–S127, https://doi.org/10.1007/s11069-016-2311-3, 2016.
Promper, C., Gassner, C., and Glade, T.: Spatiotemporal patterns of landslide exposure - a step within future landslide risk analysis on a regional scale applied in Waidhofen/Ybbs Austria, Int. J. Disast. Risk Reduct., 12, 25–33, https://doi.org/10.1016/j.ijdrr.2014.11.003, 2015.
Ragozin, A. L. and Tikhvinsky, I. O.: Landslide hazard, vulnerability and risk assessment in Landslides in research, theory and practice, in: Proceedings of the 8th ISL, Cardiff, Vol. 3, Thomas Telford, London, 1257–1262, 2000.
Reibel, M. and Agrawal, A.: Areal Interpolation of Population Counts Using Pre-classified Land Cover Data, Popul. Res. Policy Ver., 26, 619–633, https://doi.org/10.1007/s11113-007-9050-9, 2007.
Reibel, M. and Bugalino, M. E.: Street-weighted interpolation techniques for demographic count estimation in incompatible zone systems, Environ. Plan. A, 37, 127–139, https://doi.org/10.1068/a36202, 2005.
Remondo, J., Bonachea, J., and Cendrero, A.: Quantitative landslide risk assessment and mapping on the basis of recent occurrences, Geomorphology, 94, 496–507, https://doi.org/10.1016/j.geomorph.2006.10.041, 2008.
Schwendtner, B., Papathoma-Köhle, M., and Glade, T.: Risk evolution: How can changes in the built environment influence the potential loss of natural hazards?, Nat. Hazards Earth Syst. Sci., 13, 2195–2207, https://doi.org/10.5194/nhess-13-2195-2013, 2013.
Silva, M. and Pereira, S.: Assessment of physical vulnerability and potential losses of buildings due to shallow slides, Nat. Hazards, 72, 1029–1050, https://doi.org/10.1007/s11069-014-1052-4, 2014.
Steinnocher, K., Köstl, M., and Weichselbaum, J.: Grid-based population and land take trend indicators – new approaches introduced by the geoland2 core information service for spatial planning, New Techniques and Technologies for Statistics, NTTS 2011, Brussels, 2011.
Su, M. D., Lin, M. C., Hsieh, H. I., Tsai, B. W., and Lin, C. H.: Multi-layer multi-class dasymetric mapping to estimate population distribution, Sci. Total Environ., 408, 4087–4816, https://doi.org/10.1016/j.scitotenv.2010.06.032, 2010.
Sutton, P., Elvidge, C., and Obremski, T.: Building and evaluating models to estimate ambient population density, Photogr. Eng. Remote Sens., 69, 545–553, https://doi.org/10.14358/PERS.69.5.545, 2003.
Swets, J. A.: Measuring the accuracy of diagnostic systems, Science, 240, 1285–1293, https://doi.org/10.1126/science.3287615, 1988.
Tapp, A. F.: Areal Interpolation and Dasymetric Mapping Methods Using Local Ancillary Data Sources, Cartogr. Geogr. Inf. Sci., 37, 215–228, https://doi.org/10.1559/152304010792194976, 2010.
Tavares, A. O. and dos Santos, P. P.: Re-scaling risk governance using local appraisal and community involvement, J. Risk Res., 17, 923–949, https://doi.org/10.1080/13669877.2013.822915, 2014.
Tavares, A. O., Santos, P. P., Freire, P., Fortunato, A. B., Rilo, A., and Sá, L.: Flooding hazard in the Tagus estuarine area: The challenge of scale in vulnerability assessments, Environ. Sci. Policy, 51, 238–255, https://doi.org/10.1016/j.envsci.2015.04.010, 2015.
UNISDR: 2009 UNISDR Terminology on Disaster Risk Reduction, Int. Strat. Disaster Reduct., Geneva, Switzerland, 1–30, 2009.
Uzielli, M., Catani, F., Tofani, V., and Casagli, N.: Risk analysis for the Ancona landslide – II: estimation of risk to buildings, Landslides, 12, 83–100, https://doi.org/10.1007/s10346-014-0477-x, 2014.
Varnes, D. J. and International Association of Engineering Geology – Commission on Landslides and Other Mass Movements on Slopes: Landslide hazard zonation: a review of principles and practice, UNESCO, Paris, 1984.
Winter, M. G.; Smith, J. T., Fotopoulou, S., Pitilakis, K., Mavrouli, O., Corominas, J., and Argyroudis, S.: An expert judgement approach to determining the physical vulnerability of roads to debris flow, Bull. Eng. Geol. Environ., 73, 291–305, https://doi.org/10.1007/s10064-014-0570-3, 2014.
Wright, J. K.: A Method of Mapping Densities of Population: With Cape Cod as an Example, Geogr. Rev., 26, 103–110, https://doi.org/10.2307/209467, 1936.
Wu, S.-S., Wang, L. and Qiu, X.: Incorporating GIS building data and Census housing statistics for sub-block-level population estimation, Prof. Geogr., 60, 121–135, https://doi.org/10.1080/00330120701724251, 2008.
Xanthopoulos, G.: Forest fire policy scenarios as a key element affecting the occurrence and characteristics of fire disasters, in: Proceedings of the 4th international wildland fire conference, Sevilla, 2007.
Yin, K. L. and Yan, T. Z.: Statistical prediction models for slope instability of metamorphosed rocks, in: Landslides, Proceedings of the 5th ISL, Lausanne, Balkema, Rotterdam, 1269–1272, 1988.
Zêzere, J. L. and Trigo, R. M.: Impacts of the North Atlantic Oscillation on landslides in Hydrological, Socioeconomic and Ecological Impacts of the North Atlantic Oscillation in the Mediterranean Region, in: Advances in Global Change Research 46, Springer Science + Business Media B.V., Springer, Dordrecht, Heidelberg, London, New York, 199–212, 2011.
Zêzere, J. L., Oliveira, S. C., Garcia, R. A. C., and Reis, E.: Landslide risk analysis in the area North of Lisbon (Portugal): evaluation of direct and indirect costs resulting from a motorway disruption by slope movements, Landslides, 4, 123–136, https://doi.org/10.1007/s10346-006-0070-z, 2007.
Zêzere, J. L., Garcia, R. A. C., Oliveira, S. C., and Reis, E.: Probabilistic landslide risk analysis considering direct costs in the area north of Lisbon (Portugal), Geomorphology, 94, 467–495, https://doi.org/10.1016/j.geomorph.2006.10.040, 2008.
Zêzere, J. L., Pereira, S., Tavares, A. O., Bateira, C., Trigo, R. M., Quaresma, I., Santos, P. P., Santos, M., and Verde, J.: DISASTER: a GIS database on hydro-geomorphologic disasters in Portugal, Nat. Hazards, 72, 503–532, https://doi.org/10.1007/s11069-013-1018-y, 2014.
Short summary
Assessing the numbers and locations of exposed people is crucial in landslide risk management and emergency planning. This study applies dasymetric cartography to assessing the potentially exposed population per building and comparing it with results from the basic census units. A dasymetric approach increases the spatial resolution of the population and enables the use of detailed landslide susceptibility maps, which is highly valuable for assessing the exposed population.
Assessing the numbers and locations of exposed people is crucial in landslide risk management...
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