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Journal articles on the topic 'Flood database'

Author: Grafiati

Published: 20 February 2023

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1

Li, Zhi, Mengye Chen, Shang Gao, et al. "A multi-source 120-year US flood database with a unified common format and public access." Earth System Science Data 13, no. 8 (2021): 3755–66. http://dx.doi.org/10.5194/essd-13-3755-2021.

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Abstract. Despite several flood databases available in the United States, there is a benefit to combine and reconcile these diverse data sources into a comprehensive flood database with a unified common format and easy public access in order to facilitate flood-related research and applications. Typically, floods are reported by specialists or media according to their socioeconomic impacts. Recently, data-driven analysis can reconstruct flood events based on in situ and/or remote-sensing data. Lately, with the increasing engagement of citizen scientists, there is the potential to enhance flood

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Gil-Guirado, Salvador, Alfredo Pérez-Morales, and Francisco Lopez-Martinez. "SMC-Flood database: a high-resolution press database on flood cases for the Spanish Mediterranean coast (1960–2015)." Natural Hazards and Earth System Sciences 19, no. 9 (2019): 1955–71. http://dx.doi.org/10.5194/nhess-19-1955-2019.

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Abstract. Flood databases of high spatio-temporal resolution are a necessary tool for proper spatial planning, especially in areas with high levels of exposure and danger to floods. This study presents the preliminary results of the Spanish Mediterranean Coastal Flood (SMC-Flood) database covering the municipalities in this region. This database collects information on flood cases that occurred between 1960 and 2015 by systematically consulting the digital archives of the main newspapers in the study area. The search for flood information was conducted by means of using links between municipal

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Llasat, M. C., M. Llasat-Botija, O. Petrucci, et al. "Towards a database on societal impact of Mediterranean floods within the framework of the HYMEX project." Natural Hazards and Earth System Sciences 13, no. 5 (2013): 1337–50. http://dx.doi.org/10.5194/nhess-13-1337-2013.

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Abstract. The NW Mediterranean region experiences every year heavy rainfall and flash floods that occasionally produce catastrophic damages. Less frequent are floods that affect large regions. Although a large number of databases devoted exclusively to floods or considering all kind of natural hazards do exist, usually they only record catastrophic flood events. This paper deals with the new flood database that is being developed within the framework of HYMEX project. Results are focused on four regions representative of the NW sector of Mediterranean Europe: Catalonia, Spain; the Balearic Isl

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Boisson, Eva, Bruno Wilhelm, Emmanuel Garnier, Alain Mélo, Sandrine Anquetin, and Isabelle Ruin. "Geo-historical database of flood impacts in Alpine catchments (HIFAVa database, Arve River, France, 1850–2015)." Natural Hazards and Earth System Sciences 22, no. 3 (2022): 831–47. http://dx.doi.org/10.5194/nhess-22-831-2022.

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Abstract. In France, flooding is the most common and damaging natural hazard (CCR, 2021). Global warming is expected to exacerbate flood risk and could be more pronounced in the European Alps which are experiencing a high warming rate, likely to lead to heavier rainfall events. Alpine valleys are densely populated, potentially increasing exposure and vulnerability to flood hazard. The study of historical records is highly relevant to understand long-term flood occurrence and related socio-economic impacts in relation to changes in the flood risk components (i.e. hazard, exposure and vulnerabil

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Rilo, Ana, Alexandre Oliveira Tavares, Paula Freire, José Luís Zêzere, and Ivan D. Haigh. "Improving Estuarine Flood Risk Knowledge through Documentary Data Using Multiple Correspondence Analysis." Water 14, no. 19 (2022): 3161. http://dx.doi.org/10.3390/w14193161.

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Estuarine margins are usually heavily occupied areas that are commonly affected by compound flooding triggers originating from different sources (e.g., coastal, fluvial, and pluvial). Therefore, estuarine flood management remains a challenge due to the need to combine the distinct dimensions of flood triggers and damages. Past flood data are critical for improve our understanding of flood risks in these areas, while providing the basis for a preliminary flood risk assessment, as required by European Floods Directive. This paper presents a spin-off database of estuarine flood events built upon

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Barriendos, M., J. L. Ruiz-Bellet, J. Tuset, et al. "The "Prediflood" database of historical floods in Catalonia (NE Iberian Peninsula) AD 1035–2013, and its potential applications in flood analysis." Hydrology and Earth System Sciences 18, no. 12 (2014): 4807–23. http://dx.doi.org/10.5194/hess-18-4807-2014.

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Abstract. "Prediflood" is a database of historical floods that occurred in Catalonia (NE Iberian Peninsula), between the 11th century and the 21st century. More than 2700 flood cases are catalogued, and more than 1100 flood events. This database contains information acquired under modern historiographical criteria and it is, therefore, suitable for use in multidisciplinary flood analysis techniques, such as meteorological or hydraulic reconstructions.

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Barriendos, M., J. L. Ruiz-Bellet, J. Tuset, et al. "The "Prediflood" database of historical floods in Catalonia (NE Iberian Peninsula) AD 1035–2013, and its potential applications in flood analysis." Hydrology and Earth System Sciences Discussions 11, no. 7 (2014): 7935–75. http://dx.doi.org/10.5194/hessd-11-7935-2014.

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Abstract. "Prediflood" is a database of historical floods occurred in Catalonia (NE Iberian Peninsula), between 10th Century and 21th Century. More than 2700 flood cases are catalogued, and more than 1100 flood events. This database contains information acquired under modern historiographical criteria and it is, therefore, apt to be used in multidisciplinary flood analysis techniques, as meteorological or hydraullic reconstructions.

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Saint-Martin, Clotilde, Pierre Javelle, and Freddy Vinet. "DamaGIS: a multisource geodatabase for collection of flood-related damage data." Earth System Science Data 10, no. 2 (2018): 1019–29. http://dx.doi.org/10.5194/essd-10-1019-2018.

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Abstract. Every year in France, recurring flood events result in several million euros of damage, and reducing the heavy consequences of floods has become a high priority. However, actions to reduce the impact of floods are often hindered by the lack of damage data on past flood events. The present paper introduces a new database for collection and assessment of flood-related damage. The DamaGIS database offers an innovative bottom-up approach to gather and identify damage data from multiple sources, including new media. The study area has been defined as the south of France considering the hi

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Sivamoorthy, Thegeshwar, Asif Mohammed Ansari, Dr B. Sivakumar, and V. Nallarasan. "Flood Prediction Using ML Classification Methods on Rainfall Data." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 499–502. http://dx.doi.org/10.22214/ijraset.2022.41297.

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Abstract: Floods are among the most destructive, most complex natural disasters to mimic. Research on the development of flood forecast models has contributed to risk reduction, a policy proposal, reduction of human lives, and mitigation of flood-related property damage. To mimic the complex statistical manifestations of natural flood processes, over the past two decades, neural network approaches have contributed significantly to the development of predictive systems that provide better performance and cost-effective solutions. To prevent this problem predict the occurrence of floods or not w

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Scussolini, Paolo, Jeroen C. J. H. Aerts, Brenden Jongman, et al. "FLOPROS: an evolving global database of flood protection standards." Natural Hazards and Earth System Sciences 16, no. 5 (2016): 1049–61. http://dx.doi.org/10.5194/nhess-16-1049-2016.

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Abstract. With projected changes in climate, population and socioeconomic activity located in flood-prone areas, the global assessment of flood risk is essential to inform climate change policy and disaster risk management. Whilst global flood risk models exist for this purpose, the accuracy of their results is greatly limited by the lack of information on the current standard of protection to floods, with studies either neglecting this aspect or resorting to crude assumptions. Here we present a first global database of FLOod PROtection Standards, FLOPROS, which comprises information in the fo

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Scussolini, P., J. C. J. H. Aerts, B. Jongman, et al. "FLOPROS: an evolving global database of flood protection standards." Natural Hazards and Earth System Sciences Discussions 3, no. 12 (2015): 7275–309. http://dx.doi.org/10.5194/nhessd-3-7275-2015.

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Abstract. With the projected changes in climate, population and socioeconomic activity located in flood-prone areas, the global assessment of the flood risk is essential to inform climate change policy and disaster risk management. Whilst global flood risk models exist for this purpose, the accuracy of their results is greatly limited by the lack of information on the current standard of protection to floods, with studies either neglecting this aspect or resorting to crude assumptions. Here we present a first global database of FLOod PROtection Standards, FLOPROS, which comprises information i

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Guzzetti, F., and G. Tonelli. "Information system on hydrological and geomorphological catastrophes in Italy (SICI): a tool for managing landslide and flood hazards." Natural Hazards and Earth System Sciences 4, no. 2 (2004): 213–32. http://dx.doi.org/10.5194/nhess-4-213-2004.

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Abstract. Since 1990, we have maintained a database of historical information on landslides and floods in Italy, known as the National Research Council's AVI (Damaged Urban Areas) archive. The database was originally designed to respond to a request of the Minister of Civil Protection, and was aimed at helping the regional assessment of landslide and flood risk in Italy. The database was compiled in 1991-1992 to cover the period 1917 to 1990, and then updated to cover systematically the period 1917 to 2000, and non-systematically the periods 1900 to 1916 and 2001 to 2002. The database currentl

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Amponsah, William, Pierre-Alain Ayral, Brice Boudevillain, et al. "Integrated high-resolution dataset of high-intensity European and Mediterranean flash floods." Earth System Science Data 10, no. 4 (2018): 1783–94. http://dx.doi.org/10.5194/essd-10-1783-2018.

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Abstract. This paper describes an integrated, high-resolution dataset of hydro-meteorological variables (rainfall and discharge) concerning a number of high-intensity flash floods that occurred in Europe and in the Mediterranean region from 1991 to 2015. This type of dataset is rare in the scientific literature because flash floods are typically poorly observed hydrological extremes. Valuable features of the dataset (hereinafter referred to as the EuroMedeFF database) include (i) its coverage of varied hydro-climatic regions, ranging from Continental Europe through the Mediterranean to Arid cl

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Dougherty, Erin, and Kristen L. Rasmussen. "Climatology of Flood-Producing Storms and Their Associated Rainfall Characteristics in the United States." Monthly Weather Review 147, no. 11 (2019): 3861–77. http://dx.doi.org/10.1175/mwr-d-19-0020.1.

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Abstract Floods are one of the deadliest weather-related natural disasters in the continental United States (CONUS). Given that rainfall intensity and the amount of CONUS population exposed to floods is expected to increase in the future, it is critical to understand flood characteristics across the CONUS. Therefore, the purpose of this study is to develop a flood-producing storm climatology over the CONUS from 2002 to 2013 to better understand rainfall characteristics of these storms and spatiotemporal differences across the country. Flood reports from the NCEI Storm Events Database are group

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Popa, Mihnea Cristian, Daniel Peptenatu, Cristian Constantin Drăghici, and Daniel Constantin Diaconu. "Flood Hazard Mapping Using the Flood and Flash-Flood Potential Index in the Buzău River Catchment, Romania." Water 11, no. 10 (2019): 2116. http://dx.doi.org/10.3390/w11102116.

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The importance of identifying the areas vulnerable for both floods and flash-floods is an important component of risk management. The assessment of vulnerable areas is a major challenge in the scientific world. The aim of this study is to provide a methodology-oriented study of how to identify the areas vulnerable to floods and flash-floods in the Buzău river catchment by computing two indices: the Flash-Flood Potential Index (FFPI) for the mountainous and the Sub-Carpathian areas, and the Flood Potential Index (FPI) for the low-altitude areas, using the frequency ratio (FR), a bivariate stati

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Shen, Xinyi, Yiwen Mei, and Emmanouil N. Anagnostou. "A Comprehensive Database of Flood Events in the Contiguous United States from 2002 to 2013." Bulletin of the American Meteorological Society 98, no. 7 (2017): 1493–502. http://dx.doi.org/10.1175/bams-d-16-0125.1.

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Abstract Notwithstanding the rich record of hydrometric observations compiled by the U.S. Geological Survey (USGS) across the contiguous United States (CONUS), flood event catalogs are sparse and incomplete. Available databases or inventories are mostly survey- or report-based, impact oriented, or limited to flash floods. These data do not represent the full range of flood events occurring in CONUS in terms of geographical locations, severity, triggering weather, or basin morphometry. This study describes a comprehensive dataset consisting of more than half a million flood events extracted fro

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Lastoria, B., M. R. Simonetti, M. Casaioli, S. Mariani, and G. Monacelli. "Socio-economic impacts of major floods in Italy from 1951 to 2003." Advances in Geosciences 7 (March 10, 2006): 223–29. http://dx.doi.org/10.5194/adgeo-7-223-2006.

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Abstract. Meteorological and hydrological monitoring and modeling, with particular regard for extreme hydrological events, represent important activities carried out by the Hydrological and Inland Waters Service of the Italian Agency for Environmental Protection and Technical Services (APAT). Recently, a study on the socio-economic effects of floods was published in the Italian Environmental Data Yearbook by APAT. It is based on processed data related to the major floods (i.e., events with at least a casualty or that have generated economic damages higher than 0.001% of the Gross Domestic Prod

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Petrucci, O., and M. Polemio. "Flood risk mitigation and anthropogenic modifications of a coastal plain in southern Italy: combined effects over the past 150 years." Natural Hazards and Earth System Sciences 7, no. 3 (2007): 361–73. http://dx.doi.org/10.5194/nhess-7-361-2007.

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Abstract. A study of the effects of human modification of a coastal plain mainly involving land reclamation and flood protection is proposed. The approach involves historical, geomorphological and hydrological data as a whole, taking into account the equilibrium of rivers, plains and coastal areas. The test area, a telling example of profound economic and social transformation of a coastal plain, is the Piana di Sibari (Calabria, southern Italy), subject to major human modifications over the last 150 years. The study area, at most 300 m a.s.l., is 450 km2 wide and comprises 24 hydrographic bas

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Kellermann, Patric, Kai Schröter, Annegret H. Thieken, Sören-Nils Haubrock, and Heidi Kreibich. "The object-specific flood damage database HOWAS 21." Natural Hazards and Earth System Sciences 20, no. 9 (2020): 2503–19. http://dx.doi.org/10.5194/nhess-20-2503-2020.

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Abstract. 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. The main purpose of development of HOWAS 21 was to support forensic flood analysis and the derivation of flood damage models. HOWAS 21 was first developed for Germany and currently almost exclusively contains datasets from Germany. However, its scope has recently been enlarged with the aim to serv

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Hall, J., B. Arheimer, G. T. Aronica, et al. "A European Flood Database: facilitating comprehensive flood research beyond administrative boundaries." Proceedings of the International Association of Hydrological Sciences 370 (June 11, 2015): 89–95. http://dx.doi.org/10.5194/piahs-370-89-2015.

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Abstract. The current work addresses one of the key building blocks towards an improved understanding of flood processes and associated changes in flood characteristics and regimes in Europe: the development of a comprehensive, extensive European flood database. The presented work results from ongoing cross-border research collaborations initiated with data collection and joint interpretation in mind. A detailed account of the current state, characteristics and spatial and temporal coverage of the European Flood Database, is presented. At this stage, the hydrological data collection is still g

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GRIMALT, Miquel, and Joan ROSSELLÓ. "InunIB: Analysis of a flood database for the Balearic Islands." European Journal of Geography 11, no. 3 (2020): 6–21. http://dx.doi.org/10.48088/ejg.m.gri.11.3.6.21.

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This paper presents a database that includes all the known flood events in the Balearic Islands from the 15th century to 2018. The research uses historical sources, such as chronicles, church records and public archives, while for recent events, the data is obtained from newspapers information and official reports from local and regional authorities. The result is that more than 200 floods have been identified. The next step is study the obtained data. In that sense, the temporal distribution is analysed. Some other characteristics, such as the evolution of damaged areas or the increase of eve

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Schröter, K., M. Kunz, F. Elmer, B. Mühr, and B. Merz. "What made the June 2013 flood in Germany an exceptional event? A hydro-meteorological evaluation." Hydrology and Earth System Sciences 19, no. 1 (2015): 309–27. http://dx.doi.org/10.5194/hess-19-309-2015.

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Abstract. The summer flood of 2013 set a new record for large-scale floods in Germany for at least the last 60 years. In this paper we analyse the key hydro-meteorological factors using extreme value statistics as well as aggregated severity indices. For the long-term classification of the recent flood we draw comparisons to a set of past large-scale flood events in Germany, notably the high-impact summer floods from August 2002 and July 1954. Our analysis shows that the combination of extreme initial wetness at the national scale – caused by a pronounced precipitation anomaly in the month of

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Trần Đức, Văn. "APPLICATION GIS AND REMOTE SENSINGTO ESTABLISH FLASH FLOOD HAZARD MAP IN TUYEN QUANG PROVINCE." SCIENTIFIC JOURNAL OF TAN TRAO UNIVERSITY 7, no. 21 (2021): 142–49. http://dx.doi.org/10.51453/2354-1431/2021/517.

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Tuyen Quang is one of the provinces at high risk of flash floods in the Northern Midlands and Mountains of Vietnam. In the rainy season, like other localities in the region, Tuyen Quang has a long, concentrated rainfall combined with steep hills and mountains, large divisions, many rivers, and streams; In addition, the thinning of the vegetation cover due to excessive exploitation of the forest by the local people causes flash floods to appear more and more. Applying GIS and remote sensing to establish a map of flash flood risk is a quantitative approach and high reliability. This article has

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Kron, W., M. Steuer, P. Löw, and A. Wirtz. "How to deal properly with a natural catastrophe database – analysis of flood losses." Natural Hazards and Earth System Sciences 12, no. 3 (2012): 535–50. http://dx.doi.org/10.5194/nhess-12-535-2012.

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Abstract. Global reinsurer Munich Re has been collecting data on losses from natural disasters for almost four decades. Together with EM-Dat and sigma, Munich Re's NatCatSERVICE database is currently one of three global databases of its kind, with its more than 30 000 datasets. Although the database was originally designed for reinsurance business purposes, it contains a host of additional information on catastrophic events. Data collection poses difficulties such as not knowing the exact extent of human and material losses, biased reporting by interest groups, including governments, changes o

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Tabyaoui, H., M. Lahsaini, and F. El Hammichi. "STANDARDIZED DATABASE FOR FLOOD RISK MANAGEMENT IN MOROCCO." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 627–32. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-627-2019.

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Abstract. Flood is considered to be one the worst kind of hazard. It has severe effects on human society in the form life losses, damages to property, roads, and on natural setting. The inventory of affected sites in Morocco is important for better risk management. This article describes the detailed process for creating, modeling, and designing the flood database. This design allows homogenization of data exchanges between national stakeholders and follows international standards for flood risk management. It is standardized and could be interoperable.

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Saharia, Manabendra, Pierre-Emmanuel Kirstetter, Humberto Vergara, Jonathan J. Gourley, Yang Hong, and Marine Giroud. "Mapping Flash Flood Severity in the United States." Journal of Hydrometeorology 18, no. 2 (2017): 397–411. http://dx.doi.org/10.1175/jhm-d-16-0082.1.

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Abstract Flash floods, a subset of floods, are a particularly damaging natural hazard worldwide because of their multidisciplinary nature, difficulty in forecasting, and fast onset that limits emergency responses. In this study, a new variable called “flashiness” is introduced as a measure of flood severity. This work utilizes a representative and long archive of flooding events spanning 78 years to map flash flood severity, as quantified by the flashiness variable. Flood severity is then modeled as a function of a large number of geomorphological and climatological variables, which is then us

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Petrucci, Olga, Luigi Aceto, Cinzia Bianchi, et al. "Flood Fatalities in Europe, 1980–2018: Variability, Features, and Lessons to Learn." Water 11, no. 8 (2019): 1682. http://dx.doi.org/10.3390/w11081682.

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Floods are still a significant threat to people, despite of the considerable developments in forecasting, management, defensive, and rescue works. In the near future, climate and societal changes as both urbanization of flood prone areas and individual dangerous behaviors could increase flood fatalities. This paper analyzes flood mortality in eight countries using a 39-year database (1980–2018) named EUFF (EUropean Flood Fatalities), which was built using documentary sources. The narratives of fatalities were investigated and standardized in the database reporting the details of the events. Th

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Ngo, Phuong-Thao, Nhat-Duc Hoang, Biswajeet Pradhan, et al. "A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data." Sensors 18, no. 11 (2018): 3704. http://dx.doi.org/10.3390/s18113704.

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Flash floods are widely recognized as one of the most devastating natural hazards in the world, therefore prediction of flash flood-prone areas is crucial for public safety and emergency management. This research proposes a new methodology for spatial prediction of flash floods based on Sentinel-1 SAR imagery and a new hybrid machine learning technique. The SAR imagery is used to detect flash flood inundation areas, whereas the new machine learning technique, which is a hybrid of the firefly algorithm (FA), Levenberg–Marquardt (LM) backpropagation, and an artificial neural network (named as FA

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Tiwari, Abhishek, Khurshid Parveen, Shivendra Kumar Singh, and Manish Manar. "Urban Flood Relief Management in COVID-19 Pandemic." Indian Journal of Community Health 34, no. 2 (2022): 301–5. http://dx.doi.org/10.47203/ijch.2022.v34i02.028.

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Introduction: Urban floods were addressed as a separate disaster after the historical 2005 Mumbai floods. Urban flood peaks are 2-8 times and volume 6 times when compared with rural floods. We are now handling multiple disasters simultaneously due to the Covid-19 Pandemic. The river plains of north India are prone to floods in the monsoon season and geographical location of Prayagraj doubles the damage because it faces wrath from two sides. Very few researches have been conducted on urban floods and evidence needs to be generated from the field. Methodology: This qualitative research was plann

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Hall, Julia, and Günter Blöschl. "Spatial patterns and characteristics of flood seasonality in Europe." Hydrology and Earth System Sciences 22, no. 7 (2018): 3883–901. http://dx.doi.org/10.5194/hess-22-3883-2018.

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Abstract. In Europe, floods are typically analysed within national boundaries and it is therefore not well understood how the characteristics of local floods fit into a continental perspective. To gain a better understanding at continental scale, this study analyses seasonal flood characteristics across Europe for the period 1960–2010. From a European flood database, the timing within the year of annual maximum discharges or water levels of 4105 stations is analysed. A cluster analysis is performed to identify large-scale regions with distinct flood seasons based on the monthly relative freque

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Hilker, N., A. Badoux, and C. Hegg. "The Swiss flood and landslide damage database 1972–2007." Natural Hazards and Earth System Sciences 9, no. 3 (2009): 913–25. http://dx.doi.org/10.5194/nhess-9-913-2009.

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Abstract. In Switzerland, floods, debris flows, landslides and rockfalls cause damage every year affecting property values, infrastructure, forestry and agriculture. As population and settled areas have increased, the damage potential has also become greater. Information about natural hazard events that caused any damage is needed for hazard mapping and further decision making. This is why the Swiss Federal Research Institute WSL has been systematically collecting information on flood and mass movement damage in a database since 1972. The estimated direct financial damage as well as fatalities

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Janizadeh, Saeid, Mohammadtaghi Avand, Abolfazl Jaafari, et al. "Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran." Sustainability 11, no. 19 (2019): 5426. http://dx.doi.org/10.3390/su11195426.

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Floods are some of the most destructive and catastrophic disasters worldwide. Development of management plans needs a deep understanding of the likelihood and magnitude of future flood events. The purpose of this research was to estimate flash flood susceptibility in the Tafresh watershed, Iran, using five machine learning methods, i.e., alternating decision tree (ADT), functional tree (FT), kernel logistic regression (KLR), multilayer perceptron (MLP), and quadratic discriminant analysis (QDA). A geospatial database including 320 historical flood events was constructed and eight geo-environme

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Grama, Vasile, Agostino Avanzi, and Livia Nistor-Lopatenco. "SWOT PRINCIPLE IN FLOOD RISK MANAGEMENT." Journal of Engineering Science XXVIII, no. 2 (2021): 125–37. http://dx.doi.org/10.52326/jes.utm.2021.28(2).11.

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An analysis of global statistics shows a substantial increase in flood damage over the past few decades. With the recent transition to a more risk-based approach in European flood management policy, flood analysis models have become an important part of flood risk management. In many cases, flood damages are extensive to the environment, to the economy and also socially. According to the priority development trend "Infrastructure and Environment", Ungheni district of Republic of Moldova (RM) aims for an efficient infrastructure, based on environmental protection, whose development, operation a

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Ashley, Sharon T., and Walker S. Ashley. "Flood Fatalities in the United States." Journal of Applied Meteorology and Climatology 47, no. 3 (2008): 805–18. http://dx.doi.org/10.1175/2007jamc1611.1.

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Abstract This study compiles a nationwide database of flood fatalities for the contiguous United States from 1959 to 2005. Assembled data include the location of fatalities, age and gender of victims, activity and/or setting of fatalities, and the type of flood events responsible for each fatality report. Because of uncertainties in the number of flood deaths in Louisiana from Hurricane Katrina, these data are not included in the study. Analysis of these data reveals that a majority of fatalities are caused by flash floods. People between the ages of 10 and 29 and &gt;60 yr of age are foun

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Huang, Wei, Zhixian Cao, Minghai Huang, Wengang Duan, Yufang Ni, and Wenjun Yang. "A New Flash Flood Warning Scheme Based on Hydrodynamic Modelling." Water 11, no. 6 (2019): 1221. http://dx.doi.org/10.3390/w11061221.

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Flash flooding is one of the most severe natural hazards and commonly occurs in mountainous and hilly areas. Due to the rapid onset of flash floods, early warnings are critical for disaster mitigation and adaptation. In this paper, a flash flood warning scheme is proposed based on hydrodynamic modelling and critical rainfall. Hydrodynamic modelling considers different rainfall and initial soil moisture conditions. The critical rainfall is calculated from the critical hazard, which is based on the flood flow depth and velocity. After the critical rainfall is calculated for each cell in the catc

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Tramblay, Yves, Louise Mimeau, Luc Neppel, Freddy Vinet, and Eric Sauquet. "Detection and attribution of flood trends in Mediterranean basins." Hydrology and Earth System Sciences 23, no. 11 (2019): 4419–31. http://dx.doi.org/10.5194/hess-23-4419-2019.

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Abstract. Floods have strong impacts in the Mediterranean region and there are concerns about a possible increase in their intensity due to climate change. In this study, a large database of 171 basins located in southern France with daily discharge data with a median record length of 45 years is considered to analyze flood trends and their drivers. In addition to discharge data, outputs of precipitation, temperature, evapotranspiration from the SAFRAN reanalysis and soil moisture computed with the ISBA land surface model are also analyzed. The evolution of land cover in these basins is analyz

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Mohor, Guilherme S., Annegret H. Thieken, and Oliver Korup. "Residential flood loss estimated from Bayesian multilevel models." Natural Hazards and Earth System Sciences 21, no. 5 (2021): 1599–614. http://dx.doi.org/10.5194/nhess-21-1599-2021.

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Abstract. Models for the predictions of monetary losses from floods mainly blend data deemed to represent a single flood type and region. Moreover, these approaches largely ignore indicators of preparedness and how predictors may vary between regions and events, challenging the transferability of flood loss models. We use a flood loss database of 1812 German flood-affected households to explore how Bayesian multilevel models can estimate normalised flood damage stratified by event, region, or flood process type. Multilevel models acknowledge natural groups in the data and allow each group to l

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Liu, H., P. Van Oosterom, B. Mao, M. Meijers, and R. Thompson. "AN EFFICIENT ND-POINT DATA STRUCTURE FOR QUERYING FLOOD RISK." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 367–74. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-367-2021.

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Abstract. Governments use flood maps for city planning and disaster management to protect people and assets. Flood risk mapping projects carried out for these purposes generate a huge amount of modelling results. Previously, data submitted are highly condensed products such as typical flood inundation maps and tables for loss analysis. Original modelling results recording critical flood evolution processes are overlooked due to cumbersome management and analysis. This certainly has drawbacks: the ‘static’ maps impart few details about the flood; also, the data fails to address new requirements

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Thiemig, V., B. Bisselink, F. Pappenberger, and J. Thielen. "A pan-African Flood Forecasting System." Hydrology and Earth System Sciences Discussions 11, no. 5 (2014): 5559–97. http://dx.doi.org/10.5194/hessd-11-5559-2014.

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Abstract. The African Flood Forecasting System (AFFS) is a probabilistic flood forecast system for medium- to large-scale African river basins, with lead times of up to 15 days. The key components are the hydrological model LISFLOOD, the African GIS database, the meteorological ensemble predictions of the ECMWF and critical hydrological thresholds. In this paper the predictive capability is investigated in a hindcast mode, by reproducing hydrological predictions for the year 2003 where important floods were observed. Results were verified with ground measurements of 36 subcatchments as well as

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Najibi, Nasser, and Naresh Devineni. "Recent trends in the frequency and duration of global floods." Earth System Dynamics 9, no. 2 (2018): 757–83. http://dx.doi.org/10.5194/esd-9-757-2018.

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Abstract. Frequency and duration of floods are analyzed using the global flood database of the Dartmouth Flood Observatory (DFO) to explore evidence of trends during 1985–2015 at global and latitudinal scales. Three classes of flood duration (i.e., short: 1–7, moderate: 8–20, and long: 21 days and above) are also considered for this analysis. The nonparametric Mann–Kendall trend analysis is used to evaluate three hypotheses addressing potential monotonic trends in the frequency of flood, moments of duration, and frequency of specific flood duration types. We also evaluated if trends could be r

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Thiemig, V., B. Bisselink, F. Pappenberger, and J. Thielen. "A pan-African medium-range ensemble flood forecast system." Hydrology and Earth System Sciences 19, no. 8 (2015): 3365–85. http://dx.doi.org/10.5194/hess-19-3365-2015.

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Abstract. The African Flood Forecasting System (AFFS) is a probabilistic flood forecast system for medium- to large-scale African river basins, with lead times of up to 15 days. The key components are the hydrological model LISFLOOD, the African GIS database, the meteorological ensemble predictions by the ECMWF (European Centre for Medium-Ranged Weather Forecasts) and critical hydrological thresholds. In this paper, the predictive capability is investigated in a hindcast mode, by reproducing hydrological predictions for the year 2003 when important floods were observed. Results were verified b

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Arnaud, Patrick, Philippe Cantet, and Jean Odry. "SHYREG, a national database of flood frequency estimation." E3S Web of Conferences 7 (2016): 01004. http://dx.doi.org/10.1051/e3sconf/20160701004.

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Barredo, J. I. "Normalised flood losses in Europe: 1970–2006." Natural Hazards and Earth System Sciences 9, no. 1 (2009): 97–104. http://dx.doi.org/10.5194/nhess-9-97-2009.

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Abstract. This paper presents an assessment of normalised flood losses in Europe for the period 1970–2006. Normalisation provides an estimate of the losses that would occur if the floods from the past take place under current societal conditions. Economic losses from floods are the result of both societal and climatological factors. Failing to adjust for time-variant socio-economic factors produces loss amounts that are not directly comparable over time, but rather show an ever-growing trend for purely socio-economic reasons. This study has used available information on flood losses from the E

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Winsemius, H. C., L. P. H. Van Beek, B. Jongman, P. J. Ward, and A. Bouwman. "A framework for global river flood risk assessments." Hydrology and Earth System Sciences Discussions 9, no. 8 (2012): 9611–59. http://dx.doi.org/10.5194/hessd-9-9611-2012.

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Abstract. There is an increasing need for strategic global assessments of flood risks in current and future conditions. In this paper, we propose a framework for global flood risk assessment for river floods, which can be applied in current conditions, as well as in future conditions due to climate and socio-economic changes. The framework's goal is to establish flood hazard and impact estimates at a high enough resolution to allow for their combination into a risk estimate. The framework estimates hazard at high resolution (~1 km2) using global forcing datasets of the current (or in scenario

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Marjerison, Rebecca D., M. Todd Walter, Patrick J. Sullivan, and Stephen J. Colucci. "Does Population Affect the Location of Flash Flood Reports?" Journal of Applied Meteorology and Climatology 55, no. 9 (2016): 1953–63. http://dx.doi.org/10.1175/jamc-d-15-0329.1.

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AbstractFlash floods cause more fatalities than any other weather-related natural hazard and cause significant damage to property and infrastructure. It is important to understand the underlying processes that lead to these infrequent but high-consequence events. Accurately determining the locations of flash flood events can be difficult, which impedes comprehensive research of the phenomena. While some flash floods can be detected by automated means (e.g., streamflow gauges), flash floods (and other severe weather events) are generally based on human observations and may not reflect the actua

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Le Bihan, Guillaume, Olivier Payrastre, Eric Gaume, David Moncoulon, and Frédéric Pons. "The challenge of forecasting impacts of flash floods: test of a simplified hydraulic approach and validation based on insurance claim data." Hydrology and Earth System Sciences 21, no. 11 (2017): 5911–28. http://dx.doi.org/10.5194/hess-21-5911-2017.

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Abstract. Up to now, flash flood monitoring and forecasting systems, based on rainfall radar measurements and distributed rainfall–runoff models, generally aimed at estimating flood magnitudes – typically discharges or return periods – at selected river cross sections. The approach presented here goes one step further by proposing an integrated forecasting chain for the direct assessment of flash flood possible impacts on inhabited areas (number of buildings at risk in the presented case studies). The proposed approach includes, in addition to a distributed rainfall–runoff model, an automatic

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Persiano, Simone, Attilio Castellarin, Jose Luis Salinas, Alessio Domeneghetti, and Armando Brath. "Climate, orography and scale controls on flood frequency in Triveneto (Italy)." Proceedings of the International Association of Hydrological Sciences 373 (May 12, 2016): 95–100. http://dx.doi.org/10.5194/piahs-373-95-2016.

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Abstract. The growing concern about the possible effects of climate change on flood frequency regime is leading Authorities to review previously proposed reference procedures for design-flood estimation, such as national flood frequency models. Our study focuses on Triveneto, a broad geographical region in North-eastern Italy. A reference procedure for design flood estimation in Triveneto is available from the Italian NCR research project "VA.PI.", which considered Triveneto as a single homogeneous region and developed a regional model using annual maximum series (AMS) of peak discharges that

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Nadeem, Muhammad Umer, Zeeshan Waheed, Abdul Mannan Ghaffar, et al. "Application of HEC-HMS for flood forecasting in hazara catchment Pakistan, south Asia." International Journal of Hydrology 6, no. 1 (2022): 7–12. http://dx.doi.org/10.15406/ijh.2022.06.00296.

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Floods have become more severe and frequent as a result of climate change around the world, posing a hazard to public safety and economic development. This study investigates the use of distributed hydrological models in flash flood risk management in a small watershed in Hazara, Pakistan, with the goal of improving Pakistan's early warning lead time. First, the HEC-HMS model was built using geographic data and the river network's structure, then calibrated and verified using eight high rainfall events from 2013. demonstrating that the HEC-HMS model could simulate floods in the research area S

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Llasat, M. C., M. Llasat-Botija, A. Rodriguez, and S. Lindbergh. "Flash floods in Catalonia: a recurrent situation." Advances in Geosciences 26 (September 14, 2010): 105–11. http://dx.doi.org/10.5194/adgeo-26-105-2010.

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Abstract. This work focuses on the analysis and characterization of the flash flood events occurring during summer in Catalonia. To this aim, a database with information about the social impact produced by all flood events recorded in Catalonia between 1982 and 2007 has been built. The social impact was obtained systematically on the basis of news press data and, occasionally, on the basis of insurance data. Flood events have been classified into ordinary, extraordinary and catastrophic floods, following the proposal of Llasat et al.~(2005). However, bearing in mind flash flood effects, some n

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Kadaverugu, Ashok, Kasi Viswanadh Gorthi, and Nageshwar Rao Chintala. "Impacts of Urban Floods on Road Connectivity - A Review and Systematic Bibliometric Analysis." Current World Environment 16, no. 2 (2021): 575–93. http://dx.doi.org/10.12944/cwe.16.2.22.

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Urban floods are paralyzing surface transportation and inflicting heavy economic losses. Climate-induced increase in frequency and intensity of rainfalls and excessive urbanization makes urban centers even more vulnerable to floods. It is necessary to quantify all dimensions of losses caused to road connectivity to improve flood mitigation policy. There is a need to consolidate the existing body of peer-reviewed contemporary literature on flood inundation modeling and its impacts on road connectivity. This will improve the awareness of policymakers and researchers and help in science-based dec

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