Articles | Volume 19, issue 9
https://doi.org/10.5194/nhess-19-1955-2019
© Author(s) 2019. 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-19-1955-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Sep 2019
Research article |
| 05 Sep 2019
| 05 Sep 2019
SMC-Flood database: a high-resolution press database on flood cases for the Spanish Mediterranean coast (1960–2015)
Salvador Gil-Guirado
CORRESPONDING AUTHOR
Interuniversity Institute of Geography, University of Alicante, P.O. Box 99, 03080 Alicante, Spain
Alfredo Pérez-Morales
Department of Geography, University of Murcia, Campus de la Merced,
30001 Murcia, Spain
Francisco Lopez-Martinez
Department of Geography, University of Murcia, Campus de la Merced,
30001 Murcia, Spain
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This preprint is open for discussion and under review for Climate of the Past (CP).
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Current uncertainty caused by climate change justifies the analysis of the most severe and less frequent droughts. In the Northeast of the Iberian Peninsula these events have direct repercussions on water resources and management. The study of these episodes using historical documentary sources and early instrumental records allows to identify episodes resembling the current ones. This knowledge allows better management of water resources in similar situations that may occur in future scenarios.
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An analysis of severe droughts in the Mediterranean region is justified by the uncertainty produced by climate change in this type of natural hazard, which clearly has implications on water resources. The study of severe episodes from historical documentary sources and old instrumental records makes it possible to identify very severe episodes such as the megadrought of 1812–1825. This knowledge allows better management of water resources in similar situations that may occur in future scenarios.
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The historical climatology has remarkable research potentialities. However, historical climatology has some methodological limitations. This study presents a new methodology (COST) that allows us to perform climate reconstructions with monthly resolution. The variability of the climatic series obtained are coherent with previous studies. The new proposed method is objective and is not affected by social changes, which allows us to perform studies in regions with different languages and cultures.
Josep Barriendos, María Hernández, Salvador Gil-Guirado, Jorge Olcina Cantos, and Mariano Barriendos
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Current uncertainty caused by climate change justifies the analysis of the most severe and less frequent droughts. In the Northeast of the Iberian Peninsula these events have direct repercussions on water resources and management. The study of these episodes using historical documentary sources and early instrumental records allows to identify episodes resembling the current ones. This knowledge allows better management of water resources in similar situations that may occur in future scenarios.
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An analysis of severe droughts in the Mediterranean region is justified by the uncertainty produced by climate change in this type of natural hazard, which clearly has implications on water resources. The study of severe episodes from historical documentary sources and old instrumental records makes it possible to identify very severe episodes such as the megadrought of 1812–1825. This knowledge allows better management of water resources in similar situations that may occur in future scenarios.
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The historical climatology has remarkable research potentialities. However, historical climatology has some methodological limitations. This study presents a new methodology (COST) that allows us to perform climate reconstructions with monthly resolution. The variability of the climatic series obtained are coherent with previous studies. The new proposed method is objective and is not affected by social changes, which allows us to perform studies in regions with different languages and cultures.
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Tadas Nikonovas, Allan Spessa, Stefan H. Doerr, Gareth D. Clay, and Symon Mezbahuddin
Nat. Hazards Earth Syst. Sci., 22, 303–322, https://doi.org/10.5194/nhess-22-303-2022, https://doi.org/10.5194/nhess-22-303-2022, 2022
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Yahong Liu and Jin Zhang
Nat. Hazards Earth Syst. Sci., 22, 227–244, https://doi.org/10.5194/nhess-22-227-2022, https://doi.org/10.5194/nhess-22-227-2022, 2022
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Diego Guenzi, Danilo Godone, Paolo Allasia, Nunzio Luciano Fazio, Michele Perrotti, and Piernicola Lollino
Nat. Hazards Earth Syst. Sci., 22, 207–212, https://doi.org/10.5194/nhess-22-207-2022, https://doi.org/10.5194/nhess-22-207-2022, 2022
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Natalie Brožová, Tommaso Baggio, Vincenzo D'Agostino, Yves Bühler, and Peter Bebi
Nat. Hazards Earth Syst. Sci., 21, 3539–3562, https://doi.org/10.5194/nhess-21-3539-2021, https://doi.org/10.5194/nhess-21-3539-2021, 2021
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Surface roughness plays a great role in natural hazard processes but is not always well implemented in natural hazard modelling. The results of our study show how surface roughness can be useful in representing vegetation and ground structures, which are currently underrated. By including surface roughness in natural hazard modelling, we could better illustrate the processes and thus improve hazard mapping, which is crucial for infrastructure and settlement planning in mountainous areas.
Hugues Brenot, Nicolas Theys, Lieven Clarisse, Jeroen van Gent, Daniel R. Hurtmans, Sophie Vandenbussche, Nikolaos Papagiannopoulos, Lucia Mona, Timo Virtanen, Andreas Uppstu, Mikhail Sofiev, Luca Bugliaro, Margarita Vázquez-Navarro, Pascal Hedelt, Michelle Maree Parks, Sara Barsotti, Mauro Coltelli, William Moreland, Simona Scollo, Giuseppe Salerno, Delia Arnold-Arias, Marcus Hirtl, Tuomas Peltonen, Juhani Lahtinen, Klaus Sievers, Florian Lipok, Rolf Rüfenacht, Alexander Haefele, Maxime Hervo, Saskia Wagenaar, Wim Som de Cerff, Jos de Laat, Arnoud Apituley, Piet Stammes, Quentin Laffineur, Andy Delcloo, Robertson Lennart, Carl-Herbert Rokitansky, Arturo Vargas, Markus Kerschbaum, Christian Resch, Raimund Zopp, Matthieu Plu, Vincent-Henri Peuch, Michel Van Roozendael, and Gerhard Wotawa
Nat. Hazards Earth Syst. Sci., 21, 3367–3405, https://doi.org/10.5194/nhess-21-3367-2021, https://doi.org/10.5194/nhess-21-3367-2021, 2021
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The purpose of the EUNADICS-AV (European Natural Airborne Disaster Information and Coordination System for Aviation) prototype early warning system (EWS) is to develop the combined use of harmonised data products from satellite, ground-based and in situ instruments to produce alerts of airborne hazards (volcanic, dust, smoke and radionuclide clouds), satisfying the requirement of aviation air traffic management (ATM) stakeholders (https://cordis.europa.eu/project/id/723986).
Johnny Douvinet, Anna Serra-Llobet, Esteban Bopp, and G. Mathias Kondolf
Nat. Hazards Earth Syst. Sci., 21, 2899–2920, https://doi.org/10.5194/nhess-21-2899-2021, https://doi.org/10.5194/nhess-21-2899-2021, 2021
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This study proposes to combine results of research regarding the spatial inequalities due to the siren coverage, the political dilemma of siren activation, and the social problem of siren awareness and trust for people in France. Surveys were conducted using a range of complementary methods (GIS analysis, statistical analysis, questionnaires, interviews) through different scales. Results show that siren coverage in France is often determined by population density but not risks or disasters.
Fabio Brighenti, Francesco Carnemolla, Danilo Messina, and Giorgio De Guidi
Nat. Hazards Earth Syst. Sci., 21, 2881–2898, https://doi.org/10.5194/nhess-21-2881-2021, https://doi.org/10.5194/nhess-21-2881-2021, 2021
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In this paper we propose a methodology to mitigate hazard in a natural environment in an urbanized context. The deformation of the ground is a precursor of paroxysms in mud volcanoes. Therefore, through the analysis of the deformation supported by a statistical approach, this methodology was tested to reduce the hazard around the mud volcano. In the future, the goal is that this dangerous area will become both a naturalistic heritage and a source of development for the community of the area.
Doris Hermle, Markus Keuschnig, Ingo Hartmeyer, Robert Delleske, and Michael Krautblatter
Nat. Hazards Earth Syst. Sci., 21, 2753–2772, https://doi.org/10.5194/nhess-21-2753-2021, https://doi.org/10.5194/nhess-21-2753-2021, 2021
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Multispectral remote sensing imagery enables landslide detection and monitoring, but its applicability to time-critical early warning is rarely studied. We present a concept to operationalise its use for landslide early warning, aiming to extend lead time. We tested PlanetScope and unmanned aerial system images on a complex mass movement and compared processing times to historic benchmarks. Acquired data are within the forecasting window, indicating the feasibility for landslide early warning.
Michal Bíl, Pavel Raška, Lukáš Dolák, and Jan Kubeček
Nat. Hazards Earth Syst. Sci., 21, 2581–2596, https://doi.org/10.5194/nhess-21-2581-2021, https://doi.org/10.5194/nhess-21-2581-2021, 2021
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The online landslide database CHILDA (Czech Historical Landslide Database) summarises information about landslides which occurred in the area of Czechia (the Czech Republic). The database is freely accessible via the https://childa.cz/ website. It includes 699 records (spanning the period of 1132–1989). Overall, 55 % of all recorded landslide events occurred only within 15 years of the extreme landslide incidence.
Anna Kruspe, Jens Kersten, and Friederike Klan
Nat. Hazards Earth Syst. Sci., 21, 1825–1845, https://doi.org/10.5194/nhess-21-1825-2021, https://doi.org/10.5194/nhess-21-1825-2021, 2021
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Messages on social media can be an important source of information during crisis situations. This article reviews approaches for the reliable detection of informative messages in a flood of data. We demonstrate the varying goals of these approaches and present existing data sets. We then compare approaches based (1) on keyword and location filtering, (2) on crowdsourcing, and (3) on machine learning. We also point out challenges and suggest future research.
Enrique Guillermo Cordaro, Patricio Venegas-Aravena, and David Laroze
Nat. Hazards Earth Syst. Sci., 21, 1785–1806, https://doi.org/10.5194/nhess-21-1785-2021, https://doi.org/10.5194/nhess-21-1785-2021, 2021
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We developed a methodology that generates free externally disturbed magnetic variations in ground magnetometers close to the Chilean convergent margin. Spectral analysis (~ mHz) and magnetic anomalies increased prior to large Chilean earthquakes (Maule 2010, Mw 8.8; Iquique 2014, Mw 8.2; Illapel 2015, Mw 8.3). These findings relate to microcracks within the lithosphere due to stress state changes. This physical evidence should be thought of as a last stage of the earthquake preparation process.
Corey M. Scheip and Karl W. Wegmann
Nat. Hazards Earth Syst. Sci., 21, 1495–1511, https://doi.org/10.5194/nhess-21-1495-2021, https://doi.org/10.5194/nhess-21-1495-2021, 2021
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For many decades, natural disasters have been monitored by trained analysts using multiple satellite images to observe landscape change. This approach is incredibly useful, but our new tool, HazMapper, offers researchers and the scientifically curious public a web-accessible
cloud-based tool to perform similar analysis. We intend for the tool to both be used in scientific research and provide rapid response to global natural disasters like landslides, wildfires, and volcanic eruptions.
Matti Wiegmann, Jens Kersten, Hansi Senaratne, Martin Potthast, Friederike Klan, and Benno Stein
Nat. Hazards Earth Syst. Sci., 21, 1431–1444, https://doi.org/10.5194/nhess-21-1431-2021, https://doi.org/10.5194/nhess-21-1431-2021, 2021
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In this paper, we study when social media is an adequate source to find metadata about incidents that cannot be acquired by traditional means. We identify six major use cases: impact assessment and verification of model predictions, narrative generation, recruiting citizen volunteers, supporting weakly institutionalized areas, narrowing surveillance areas, and reporting triggers for periodical surveillance.
Hui Liu, Ya Hao, Wenhao Zhang, Hanyue Zhang, Fei Gao, and Jinping Tong
Nat. Hazards Earth Syst. Sci., 21, 1179–1194, https://doi.org/10.5194/nhess-21-1179-2021, https://doi.org/10.5194/nhess-21-1179-2021, 2021
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We trained a recurrent neural network model to classify microblogging posts related to urban waterlogging and establish an online monitoring system of urban waterlogging caused by flood disasters. We manually curated more than 4400 waterlogging posts to train the RNN model so that it can precisely identify waterlogging-related posts of Sina Weibo to timely determine urban waterlogging.
Roope Tervo, Ilona Láng, Alexander Jung, and Antti Mäkelä
Nat. Hazards Earth Syst. Sci., 21, 607–627, https://doi.org/10.5194/nhess-21-607-2021, https://doi.org/10.5194/nhess-21-607-2021, 2021
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Predicting the number of power outages caused by extratropical storms is a key challenge for power grid operators. We introduce a novel method to predict the storm severity for the power grid employing ERA5 reanalysis data combined with a forest inventory. The storms are first identified from the data and then classified using several machine-learning methods. While there is plenty of room to improve, the results are already usable, with support vector classifier providing the best performance.
Michaela Wenner, Clément Hibert, Alec van Herwijnen, Lorenz Meier, and Fabian Walter
Nat. Hazards Earth Syst. Sci., 21, 339–361, https://doi.org/10.5194/nhess-21-339-2021, https://doi.org/10.5194/nhess-21-339-2021, 2021
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Mass movements constitute a risk to property and human life. In this study we use machine learning to automatically detect and classify slope failure events using ground vibrations. We explore the influence of non-ideal though commonly encountered conditions: poor network coverage, small number of events, and low signal-to-noise ratios. Our approach enables us to detect the occurrence of rare events of high interest in a large data set of more than a million windowed seismic signals.
Luiz Felipe Galizia, Thomas Curt, Renaud Barbero, and Marcos Rodrigues
Nat. Hazards Earth Syst. Sci., 21, 73–86, https://doi.org/10.5194/nhess-21-73-2021, https://doi.org/10.5194/nhess-21-73-2021, 2021
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This paper aims to provide a quantitative evaluation of three remotely sensed fire datasets which have recently emerged as an important resource to improve our understanding of fire regimes. Our findings suggest that remotely sensed fire datasets can be used to proxy variations in fire activity on monthly and annual timescales; however, caution is advised when drawing information from smaller fires (< 100 ha) across the Mediterranean region.
Philippe Weyrich, Anna Scolobig, Florian Walther, and Anthony Patt
Nat. Hazards Earth Syst. Sci., 20, 2811–2821, https://doi.org/10.5194/nhess-20-2811-2020, https://doi.org/10.5194/nhess-20-2811-2020, 2020
Patric Kellermann, Kai Schröter, Annegret H. Thieken, Sören-Nils Haubrock, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 20, 2503–2519, https://doi.org/10.5194/nhess-20-2503-2020, https://doi.org/10.5194/nhess-20-2503-2020, 2020
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The flood damage database HOWAS 21 contains object-specific flood damage data resulting from fluvial, pluvial and groundwater flooding. The datasets incorporate various variables of flood hazard, exposure, vulnerability and direct tangible damage at properties from several economic sectors. This paper presents HOWAS 21 and highlights exemplary analyses to demonstrate the use of HOWAS 21 flood damage data.
Giuseppe Esposito, Ivan Marchesini, Alessandro Cesare Mondini, Paola Reichenbach, Mauro Rossi, and Simone Sterlacchini
Nat. Hazards Earth Syst. Sci., 20, 2379–2395, https://doi.org/10.5194/nhess-20-2379-2020, https://doi.org/10.5194/nhess-20-2379-2020, 2020
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In this article, we present an automatic processing chain aimed to support the detection of landslides that induce sharp land cover changes. The chain exploits free software and spaceborne SAR data, allowing the systematic monitoring of wide mountainous regions exposed to mass movements. In the test site, we verified a general accordance between the spatial distribution of seismically induced landslides and the detected land cover changes, demonstrating its potential use in emergency management.
Mohammad Malakootian and Majid Nozari
Nat. Hazards Earth Syst. Sci., 20, 2351–2363, https://doi.org/10.5194/nhess-20-2351-2020, https://doi.org/10.5194/nhess-20-2351-2020, 2020
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The present study estimated the Kerman–Baghin aquifer vulnerability using DRASTIC and composite DRASTIC (CDRASTIC) indices with the aid of geographic information system (GIS) techniques. The aquifer vulnerability maps indicated very similar results, identifying the north-west parts of the aquifer as areas with high to very high vulnerability. According to the results, parts of the studied aquifer have a high vulnerability and require protective measures.
Diana Contreras, Alondra Chamorro, and Sean Wilkinson
Nat. Hazards Earth Syst. Sci., 20, 1663–1687, https://doi.org/10.5194/nhess-20-1663-2020, https://doi.org/10.5194/nhess-20-1663-2020, 2020
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The socio-economic condition of the population determines their vulnerability to earthquakes, tsunamis, volcanic eruptions, landslides, soil erosion and land degradation. This condition is estimated mainly from population censuses. The lack to access to basic services, proximity to hazard zones, poverty and population density highly influence the vulnerability of communities. Mapping the location of this vulnerable population makes it possible to prevent and mitigate their risk.
Simona Colombelli, Francesco Carotenuto, Luca Elia, and Aldo Zollo
Nat. Hazards Earth Syst. Sci., 20, 921–931, https://doi.org/10.5194/nhess-20-921-2020, https://doi.org/10.5194/nhess-20-921-2020, 2020
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We developed a mobile app for Android devices which receives the alerts generated by a network-based early warning system, predicts the expected ground-shaking intensity and the available lead time at the user position, and provides customized messages to inform the user about the proper reaction to the alert. The app represents a powerful tool for informing in real time a wide audience of end users and stakeholders about the potential damaging shaking in the occurrence of an earthquake.
Richard Styron, Julio García-Pelaez, and Marco Pagani
Nat. Hazards Earth Syst. Sci., 20, 831–857, https://doi.org/10.5194/nhess-20-831-2020, https://doi.org/10.5194/nhess-20-831-2020, 2020
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The Caribbean and Central American region is both tectonically active and densely populated, leading to a large population that is exposed to earthquake hazards. Until now, no comprehensive fault data covering the region have been available. We present a new public fault database for Central America and the Caribbean that synthesizes published studies with new mapping from remote sensing to provide fault sources for the CCARA seismic hazard and risk analysis project and to aid future research.
María del Pilar Jiménez-Donaire, Ana Tarquis, and Juan Vicente Giráldez
Nat. Hazards Earth Syst. Sci., 20, 21–33, https://doi.org/10.5194/nhess-20-21-2020, https://doi.org/10.5194/nhess-20-21-2020, 2020
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A new combined drought indicator (CDI) is proposed that integrates rainfall, soil moisture and vegetation dynamics. The performance of this indicator was evaluated against crop damage data from agricultural insurance schemes in five different areas in SW Spain. Results show that this indicator was able to predict important droughts in 2004–2005 and 2011–2012, marked by crop damage of between 70 % and 95 % of the total insured area. This opens important applications for improving insurance schemes.
Quancai Xie, Qiang Ma, Jingfa Zhang, and Haiying Yu
Nat. Hazards Earth Syst. Sci., 19, 2827–2839, https://doi.org/10.5194/nhess-19-2827-2019, https://doi.org/10.5194/nhess-19-2827-2019, 2019
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This paper evaluates a new method for modeling the site amplification factor. Through implementing this method and making simulations for different cases, we find that this method shows better performance than the previous method and JMA report. We better understand the advantages and disadvantages of this method, although there are some problems that need to be considered carefully and solved; it shows good potential to be used in future earthquake early warning systems.
David A. Bonneau, D. Jean Hutchinson, Paul-Mark DiFrancesco, Melanie Coombs, and Zac Sala
Nat. Hazards Earth Syst. Sci., 19, 2745–2765, https://doi.org/10.5194/nhess-19-2745-2019, https://doi.org/10.5194/nhess-19-2745-2019, 2019
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In mountainous regions around the world rockfalls pose a hazard to infrastructure and society. To aid in our understanding and management of these complex hazards, an inventory can be compiled. Three-dimensional remote sensing data can be used to locate the source zones of these events and generate models of areas which detached. We address the way in which the shape of a rockfall object can be measured. The shape of a rockfall has implications for forward modelling of potential runout zones.
Kwonmin Lee, Hye-Sil Kim, and Yong-Sang Choi
Nat. Hazards Earth Syst. Sci., 19, 2241–2248, https://doi.org/10.5194/nhess-19-2241-2019, https://doi.org/10.5194/nhess-19-2241-2019, 2019
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This study examined the advances in the predictability of thunderstorms using geostationary satellite imageries. Our present results show that by using the latest geostationary satellite data (with a resolution of 2 km and 10 min), thunderstorms can be predicted 90–180 min ahead of their mature state. These data can capture the rapidly growing cloud tops before the cloud moisture falls as precipitation and enable prompt preparation and the mitigation of hazards.
Qingyun Zhang, Yongsheng Li, Jingfa Zhang, and Yi Luo
Nat. Hazards Earth Syst. Sci., 19, 2229–2240, https://doi.org/10.5194/nhess-19-2229-2019, https://doi.org/10.5194/nhess-19-2229-2019, 2019
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Before the opening of the railway, the deformation of the Qinghai–Tibet Railway was very small and considered stable. After opening, the overall stability of the railway section was good. The main deformation areas are concentrated in the areas where railway lines turn and geological disasters are concentrated. In order to ensure the safety of railway operation, it is necessary to carry out long-term time series observation along the Qinghai–Tibet Railway.
Xiao Huang, Cuizhen Wang, and Junyu Lu
Nat. Hazards Earth Syst. Sci., 19, 2141–2155, https://doi.org/10.5194/nhess-19-2141-2019, https://doi.org/10.5194/nhess-19-2141-2019, 2019
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This study examined the spatiotemporal dynamics of nighttime satellite-derived human settlement in response to different levels of hurricane proneness in a period from 1992 to 2013. It confirms the
Snow Belt-to-Sun BeltUS population shift trend. The results also suggest that hurricane-exposed human settlement has grown in extent and area, as more hurricane exposure has experienced a larger increase rate in settlement intensity.
Maja Kucharczyk and Chris H. Hugenholtz
Nat. Hazards Earth Syst. Sci., 19, 2039–2051, https://doi.org/10.5194/nhess-19-2039-2019, https://doi.org/10.5194/nhess-19-2039-2019, 2019
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We performed pre-disaster 3-D mapping with a drone in downtown Victoria, BC, Canada. This was the first drone mapping mission over a Canadian city approved by Canada’s aviation authority. We were legally constrained to using a specific drone. The goal was to assess the quality of the 3-D map. Results indicate that the spatial accuracies achieved with this drone would allow for sub-meter building collapse detection, but the non-tilting camera was insufficient for mapping buildings in 3-D.
Reza Hassanzadeh, Mehdi Honarmand, Mahdieh Hossienjani Zadeh, and Farzin Naseri
Nat. Hazards Earth Syst. Sci., 19, 1989–2009, https://doi.org/10.5194/nhess-19-1989-2019, https://doi.org/10.5194/nhess-19-1989-2019, 2019
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This paper proposes a new model for evaluating local seismic amplification susceptibility by considering direct characteristics of influencing criteria and dealing with uncertainty of modelling through production of fuzzy membership functions and GIS. This model helps planners and decision makers easily produce local seismic amplification susceptibility to be incorporated in designing development plans of urban areas and to evaluate safety measures of existing infrastructure.
Cited articles
Addinsoft, S. A.: XLSTAT software, available at: http://www.xlstat.com/es/, last access: 23 February 2019.
Adhikari, P., Hong, Y., Douglas, K. R., Kirschbaum, D. B., Gourley, J.,
Adler, R., and Brakenridge, G. R.: A digitized global flood inventory
(1998–2008): compilation and preliminary results, Nat. Hazards, 55,
405–422, 2010.
Ashley, S. T. and Ashley, W. S.: Flood fatalities in the United States,
J. Appl. Meteorol. Clim., 47, 805–818, 2008.
Barnolas, M. and Llasat, M. C.: A flood geodatabase and its climatological applications: the case of Catalonia for the last century, Nat. Hazards Earth Syst. Sci., 7, 271–281, https://doi.org/10.5194/nhess-7-271-2007, 2007.
Barredo, J. I.: Major flood disasters in Europe: 1950–2005, Nat.
Hazards, 42, 125–148, 2007.
Barredo, J. I., Saurí, D., and Llasat, M. C.: Assessing trends in insured losses from floods in Spain 1971–2008, Nat. Hazards Earth Syst. Sci., 12, 1723–1729, https://doi.org/10.5194/nhess-12-1723-2012, 2012.
Barrera-Escoda, A. and Llasat, M. C.: Evolving flood patterns in a Mediterranean region (1301–2012) and climatic factors – the case of Catalonia, Hydrol. Earth Syst. Sci., 19, 465–483, https://doi.org/10.5194/hess-19-465-2015, 2015.
Barriendos, M., Coeur, D., Lang, M., Llasat, M. C., Naulet, R., Lemaitre, F., and Barrera, A.: Stationarity analysis of historical flood series in France and Spain (14th–20th centuries), Nat. Hazards Earth Syst. Sci., 3, 583–592, https://doi.org/10.5194/nhess-3-583-2003, 2003.
Barriendos, M., Ruiz-Bellet, J. L., Tuset, J., Mazón, J., Balasch, J. C., Pino, D., and Ayala, J. L.: The “Prediflood” database of historical floods in Catalonia (NE Iberian Peninsula) AD 1035–2013, and its potential applications in flood analysis, Hydrol. Earth Syst. Sci., 18, 4807–4823, https://doi.org/10.5194/hess-18-4807-2014, 2014.
Bates, F. L. and Peacock, W. G.: Disasters and Social Change, in: The Sociology of Disasters, edited by: Dynes, R. R.,
Demarchi, B., and Pelanda, C., Franco Angeli
Press, Milan, 1987.
Bouwer, L. M.: Have disaster losses increased due to anthropogenic climate
change?, B. Am. Meteorol. Soc., 92, 39–46,
2011.
Brakenridge, G. R.: Global Active Archive of Large Flood Events, Dartmouth
Flood Observatory, University of Colorado, available at: http://floodobservatory.colorado.edu/Archives/index.html (last access:
12 May 2018), 2010.
Brázdil, R., Chromá, K., Řezníčková, L., Valášek, H., Dolák, L., Stachoň, Z., Soukalová, E., and Dobrovolný, P.: The use of taxation records in assessing historical floods in South Moravia, Czech Republic, Hydrol. Earth Syst. Sci., 18, 3873–3889, https://doi.org/10.5194/hess-18-3873-2014, 2014.
Burriel, E.: Empty Urbanism: The Bursting of the Spanish Housing Bubble, Urb. Res. Pract., 9, 158–180, 2015.
Camuffo, D. and Enzi, S.: The analysis of two bi-millennial series: Tiber
and Po river floods, in: Climatic Variations and Forcing Mechanisms of the
last 2000 years, Springer, Berlin, Heidelberg, 433–450, 1996.
Clavero, B. S.: Estadística de la cobertura de los riesgos
extraordinarios en España por parte del Consorcio de Compensación de
Seguros, Revista de Estadística y Sociedad, 67, 19–25, 2016.
Consorcio de Compensación de Seguros: Estadística de Riesgos
Extraordinarios, Serie 1971–2018, Ministerio de Economía y Empresa,
Madrid, 2019.
Diakakis, M., Mavroulis, S., and Deligiannakis, G.: Floods in Greece, a
statistical and spatial approach, Nat. Hazards, 62, 485–500, 2012.
Eisensee, T. and Strömberg, D.: News droughts, news floods, and US
disaster relief, Q. J. Econ., 122, 693–728, 2007.
EM-DAT: The OFDA/CRED International Disaster Database, Brussels, Belgium:
Université Catholique de Louvain, available at: http://www.emdat.be, last access: 5 September 2018.
ESSL – European Severe Storms Laboratory: ESWD (European Severe Weather
Database), available at: http://www.eswd.eu/, last access: 17 October 2018.
European Enviroment Agency: European past floods, available at: https://www.eea.europa.eu/data-and-maps/data/european-past-floods#tab-figures-produced,
last access: 6 July 2018.
FitzGerald, G., Du, W., Jamal, A., Clark, M., and Hou, X. Y.: Flood
fatalities in contemporary Australia (1997–2008), Emerg. Med.
Australas., 22, 180–186, 2010.
Gilabert, J. and Llasat, M. C.: Circulation weather types associated with
extreme flood events in Northwestern Mediterranean, Int. J. Climatol., 38, 1864–1876, 2018.
Gil-Guirado, S.: Reconstrucción climática histórica y
análisis evolutivo de la vulnerabilidad y adaptación a las
sequías e inundaciones en la Cuenca del Segura (España) y en la
Cuenca del Río Mendoza (Argentina), Cuadernos Geográficos, 52,
132–151, 2013.
Gil-Guirado, S., Espín-Sánchez, J. A., and Prieto, M. D. R.: Can we
learn from the past? Four hundred years of changes in adaptation to floods
and droughts. Measuring the vulnerability in two Hispanic cities, Climatic
Change, 139, 183–200, 2016.
Glaser, R. and Stangl, H.: Climate and floods in Central Europe since AD
1000: data, methods, results and consequences, Surv. Geophys.,
25, 485–510, 2004.
Guzzetti, F., Stark, C. P., and Salvati, P.: Evaluation of flood and
landslide risk to the population of Italy, Environ. Manage., 36,
15–36, 2005.
Hilker, N., Badoux, A., and Hegg, C.: The Swiss flood and landslide damage database 1972–2007, Nat. Hazards Earth Syst. Sci., 9, 913–925, https://doi.org/10.5194/nhess-9-913-2009, 2009.
Hirsch, R. M. and Slack, J. R.: A nonparametric trend test for seasonal data
with serial dependence, Water Resour. Res., 20, 727–732, 1984.
Instituto Nacional de Estadística (INE): Demografía y
Población, available at: https://www.ine.es/dyngs/INEbase/es/categoria.htm?c=Estadistica_P&cid=1254734710984, last access: 6 October 2018.
Jongman, B., Koks, E. E., Husby, T. G., and Ward, P. J.: Increasing flood exposure in the Netherlands: implications for risk financing, Nat. Hazards Earth Syst. Sci., 14, 1245–1255, https://doi.org/10.5194/nhess-14-1245-2014, 2014.
Jongman, B., Winsemius, H. C., Aerts, J. C., de Perez, E. C., van Aalst, M.
K., Kron, W., and Ward, P. J.: Declining vulnerability to river floods and
the global benefits of adaptation, P. Natl. Acad.
Sci. USA, 112, E2271–E2280, 2015.
Kundzewicz, Z. W., Pińskwar, I., and Brakenridge, G. R.: Large floods in
Europe, 1985–2009, Hydrolog. Sci. J., 58, 1–7, 2013.
Llasat, M. C., Barriendos, M., Barrera, A., and Rigo, T.: Floods in
Catalonia (NE Spain) since the 14th century. Climatological and
meteorological aspects from historical documentary sources and old
instrumental records, J. Hydrol., 313, 32–47, 2005.
Llasat, M. C., Llasat-Botija, M., and López, L.: A press database on natural risks and its application in the study of floods in Northeastern Spain, Nat. Hazards Earth Syst. Sci., 9, 2049–2061, https://doi.org/10.5194/nhess-9-2049-2009, 2009.
Llasat, M. C., Llasat-Botija, M., Petrucci, O., Pasqua, A. A., Rosselló, J., Vinet, F., and Boissier, L.: Towards a database on societal impact of Mediterranean floods within the framework of the HYMEX project, Nat. Hazards Earth Syst. Sci., 13, 1337–1350, https://doi.org/10.5194/nhess-13-1337-2013, 2013a.
Llasat, M. C., Llasat-Botija, M., Petrucci, O., Pasqua, A. A., Rossello, J.,
Vinet, F., and Boissier, L.: Floods in the north-western Mediterranean
region: presentation of the HYMEX database and comparison with pre-existing
global databases, Houille Blanche, 1, 5–9, 2013b.
Llasat, M. C., Llasat-Botija, M., Rodriguez, A., and Lindbergh, S.: Flash floods in Catalonia: a recurrent situation, Adv. Geosci., 26, 105–111, https://doi.org/10.5194/adgeo-26-105-2010, 2010.
Llasat, M. C., Marcos, R., Turco, M., Gilabert, J., and Llasat-Botija, M.:
Trends in flash flood events versus convective precipitation in the
Mediterranean region: The case of Catalonia, J. Hydrol., 541, 24–37, 2016.
López-Martínez, F., Gil-Guirado, S., and Pérez-Morales, A.: Who
can you trust? Implications of institutional vulnerability in flood exposure
along the Spanish Mediterranean coast, Environ. Sci. Policy,
76, 29–39, 2017.
Martín-Vide, J.: Spatial distribution of a daily precipitation
concentration index in peninsular Spain, Int. J.
Climatol., 24, 959–971, 2004.
McEwen, L. J.: Flood seasonality and generating conditions in the Tay
catchment, Scotland from 1200 to present, Area, 38, 47–64, 2006.
Munich Re: NatCat SERVICE Loss Database for Natural Catastrophes Worldwide,
available at: https://www.munichre.com/en/reinsurance/business/non-life/natcatservice/index.html,
last access: 30 July 2018.
Muñoz-Díaz, D. and Rodrigo, F. S.: Spatio-temporal patterns of seasonal rainfall in Spain (1912–2000) using cluster and principal component analysis: comparison, Ann. Geophys., 22, 1435–1448, https://doi.org/10.5194/angeo-22-1435-2004, 2004.
Nadal, N. C., Zapata, R. E., Pagán, I., López, R., and Agudelo, J.:
Building damage due to riverine and coastal floods, J. Water
Resour. Plan. Man., 136, 327–336, 2009.
Napolitano, E., Marchesini, I., Salvati, P., Donnini, M., Bianchi, C., and
Guzzetti, F.: LAND-deFeND – An innovative database structure for landslides
and floods and their consequences, J. Environ. Manage., 207,
203–218, 2018.
NOOA: Storm Events Database, available at: https://www.ncdc.noaa.gov/stormevents/ftp.jsp, last access: 24 July 2018.
Olcina Cantos, J., Hernández Hernández, M., Rico Amorós, A. M., and Martínez Ibarra, E.: Increased risk of flooding on the coast of Alicante (Region of Valencia, Spain), Nat. Hazards Earth Syst. Sci., 10, 2229–2234, https://doi.org/10.5194/nhess-10-2229-2010, 2010.
Pagán, J. I., Aragonés, L., Tenza-Abril, A. J., and Pallarés,
P.: The influence of anthropic actions on the evolution of an urban beach:
Case study of Marineta Cassiana beach, Spain, Sci. Total
Environ., 559, 242–255, 2016.
Papagiannaki, K., Lagouvardos, K., and Kotroni, V.: A database of high-impact weather events in Greece: a descriptive impact analysis for the period 2001–2011, Nat. Hazards Earth Syst. Sci., 13, 727–736, https://doi.org/10.5194/nhess-13-727-2013, 2013.
Pascual, G. and Bustamante, A.: Catálogo Nacional de Inundaciones
Históricas. Actualización, Ministerio del Interior, Madrid, Spain,
2011.
Pérez-Morales, A., Gil-Guirado, S., and Olcina-Cantos, J.: Housing
bubbles and the increase of flood exposure. Failures in flood risk
management on the Spanish south-eastern coast (1975–2013), J. Flood
Risk Manag., 11, S302–S313, 2018.
Petrucci, O., Aceto, L., and Aurora Pasqua, A.: Long-term analysis of
Damaging Hydrogeological Events in Calabria (Southern Italy), in: EGU General Assembly Conference Abstracts, Vol. 20,
p. 7899, 2018.
Polemio, M. and Petrucci, O.: The occurrence of floods and the role of climate variations from 1880 in Calabria (Southern Italy), Nat. Hazards Earth Syst. Sci., 12, 129–142, https://doi.org/10.5194/nhess-12-129-2012, 2012.
Quan, R.: Risk assessment of flood disaster in Shanghai based on
spatial–temporal characteristics analysis from 251 to 2000, Environ.
Earth Sci., 72, 4627–4638, 2014.
Romero, R., Doswell III, C. A., and Ramis, C.: Mesoscale numerical study of
two cases of long-lived quasi-stationary convective systems over eastern
Spain, Mon. Weather Rev., 128, 3731–3751, 2000.
Salvati, P., Marchesini, I., Balducci, V., Bianchi, C., and Guzzetti, F.: A
new digital catalogue of harmful landslides and floods in Italy. In
Landslide science and practice, Springer, Berlin, Heidelberg,
409–414, 2013.
Sumner, G. N., Romero, R., Homar, V., Ramis, C., Alonso, S., and Zorita, E.:
An estimate of the effects of climate change on the rainfall of
Mediterranean Spain by the late twenty first century, Clim. Dynam.,
20, 789–805, 2003.
Swiss Re: Sigma Natural Catastrophes and Man-made Disasters, available at:
http://institute.swissre.com/research/overview/sigma/, last
access: 27 September 2018.
Tapsell, S. M., Penning-Rowsell, E. C., Tunstall, S. M., and Wilson, T. L.:
Vulnerability to flooding: health and social dimensions, Philos.
T. R. Soc. A, 360, 1511–1525, 2002.
Terti, G., Ruin, I., Anquetin, S., and Gourley, J. J.: A situation-based
analysis of flash flood fatalities in the United States, B.
Am. Meteorol. Soc., 98, 333–345, 2017.
Turco, M. and Llasat, M. C.: Trends in indices of daily precipitation extremes in Catalonia (NE Spain), 1951–2003, Nat. Hazards Earth Syst. Sci., 11, 3213–3226, https://doi.org/10.5194/nhess-11-3213-2011, 2011.
Vennari, C., Parise, M., Santangelo, N., and Santo, A.: A database on flash flood events in Campania, southern Italy, with an evaluation of their spatial and temporal distribution, Nat. Hazards Earth Syst. Sci., 16, 2485–2500, https://doi.org/10.5194/nhess-16-2485-2016, 2016.
Walmsley, D. J.: Spatial bias in Australian news reporting, Aust.
Geogr., 14, 342–349, 1980.
WMO, UCL: Atlas of mortality and economic losses from weather, climate and
water extremes 1970–2012, Geneva, Switzerland, World Meteorological
Organization (WMO), 2014.
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, 2014.
Short summary
In this study the SMC-Flood database for the municipalities of the Mediterranean coast of mainland Spain is presented. This database has enabled the reconstruction of 3008 cases of flooding on a municipal scale between 1960 and 2015. The data analysis reveals a growing trend in the frequency and area affected by flood cases. The main novelty lies in the fact that we have detected a clear latitudinal gradient of growing intensity and severity of flood cases with a north–south direction.
In this study the SMC-Flood database for the municipalities of the Mediterranean coast of...
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