scholarly journals A Flood Damage and Shelter Need Assessment: A Case Study of Mueang Sing Buri, Thailand

2021 ◽  
Vol 884 (1) ◽  
pp. 012025
Author(s):  
Pattaramone Manawongcharoen ◽  
Thitirat Panbamrungkij

Abstract Flooding is one of the main disasters in Thailand and Mueang Sing Buri is among those areas hit. Located on the Chao Phraya River Basin, in the central region of Thailand, the area receives a large amount of runoff during monsoon seasons which causes frequent flood disasters. The aims of this research are to create a flood hazard map and to estimate the number of people that may need shelter after the occurrence of a flood, and to evaluate whether the shelter capacity is adequate in Mueang Sing Buri. To explore the potential locations of emergency shelters, the relevant information related to flooding was initially recorded, such as building detail, flood depth, elevation map, and flood risk map. The available space of each building varies by the characteristics of building types. The calculation of shelter capacity thus depends on characteristics of the buildings, accessibility, and percent of vacant area. The emergency shelter assessment benefits many sectors in the design of preparation plans for hazard management.

2016 ◽  
Author(s):  
Amin Elshorbagy ◽  
Anchit Lakhanpal ◽  
Bharath Raja ◽  
Serena Ceola ◽  
Alberto Montanari ◽  
...  

Abstract. In Canada, flood analysis and water resource management, in general, are tasks conducted at the provincial level; therefore, unified national-scale approaches to water-related problems are uncommon. In this study, a national-scale flood risk assessment approach is proposed and developed. The study focuses on using global and national datasets available at reasonably fine resolutions to create flood risk maps. First, a flood hazard map of Canada is developed using topography-based parameters derived from digital elevation models namely Elevation Above Nearest Drainage (EAND) and Distance From Nearest Drainage (DFND). This flood hazard mapping method is tested on a smaller area around the city of Calgary, Alberta, against a flood inundation map produced by the City using hydraulic modeling. Second, a flood exposure map of Canada is developed using a land-use map and the satellite-based nightlight luminosity data as two exposure parameters. Third, an economic flood risk map is produced, and subsequently overlaid with population density information to produce a socioeconomic flood risk map for Canada. All three maps of hazard, exposure, and risk are classified into five classes, ranging from very low to severe. A simple way to include flood protection measures in hazard estimation is also demonstrated using the example of the city of Winnipeg, Manitoba. This could be done for the entire country if information on flood protection across Canada were available. The evaluation of the flood hazard map shows that the topography-based method adopted in this study is both practical and reliable for large-scale analysis. Sensitivity analysis regarding the resolution of the digital elevation model is needed to identify the resolution that is fine enough for reliable hazard mapping, but coarse enough for computational tractability. The nightlight data are found to be useful for exposure and risk mapping in Canada; however, uncertainty analysis should be conducted to investigate the effect of the overglow phenomenon on flood risk mapping.


2018 ◽  
Vol 40 ◽  
pp. 06022
Author(s):  
Kun Yeun Han ◽  
Jun Hyung Park ◽  
Hehun Choi

A grid-based numerical model is developed by improving the diffusion hydrodynamic model that can accurately reflect LiDAR data and enable an efficient hydraulic analysis by linking river and drainage networks. In order to verify 2D model, recent flood events, which occurred in the Gimcheon area during Typhoon Rusa on 2002 is considered. For the estimations of flood disaster vulnerability index, population density, household income, access to evacuation route/time, and shelter information are included. The flood hazard map considering flood depth, velocity, flood arrival time is combined with the flood vulnerability information to derive a flood risk map. The flood risk map presented in this study can provide useful information for the preparation of evacuation plan through accurate flood hazard results and disaster vulnerability index.


2017 ◽  
Vol 21 (4) ◽  
pp. 2219-2232 ◽  
Author(s):  
Amin Elshorbagy ◽  
Raja Bharath ◽  
Anchit Lakhanpal ◽  
Serena Ceola ◽  
Alberto Montanari ◽  
...  

Abstract. In Canada, flood analysis and water resource management, in general, are tasks conducted at the provincial level; therefore, unified national-scale approaches to water-related problems are uncommon. In this study, a national-scale flood risk assessment approach is proposed and developed. The study focuses on using global and national datasets available with various resolutions to create flood risk maps. First, a flood hazard map of Canada is developed using topography-based parameters derived from digital elevation models, namely, elevation above nearest drainage (EAND) and distance from nearest drainage (DFND). This flood hazard mapping method is tested on a smaller area around the city of Calgary, Alberta, against a flood inundation map produced by the city using hydraulic modelling. Second, a flood exposure map of Canada is developed using a land-use map and the satellite-based nightlight luminosity data as two exposure parameters. Third, an economic flood risk map is produced, and subsequently overlaid with population density information to produce a socioeconomic flood risk map for Canada. All three maps of hazard, exposure, and risk are classified into five classes, ranging from very low to severe. A simple way to include flood protection measures in hazard estimation is also demonstrated using the example of the city of Winnipeg, Manitoba. This could be done for the entire country if information on flood protection across Canada were available. The evaluation of the flood hazard map shows that the topography-based method adopted in this study is both practical and reliable for large-scale analysis. Sensitivity analysis regarding the resolution of the digital elevation model is needed to identify the resolution that is fine enough for reliable hazard mapping, but coarse enough for computational tractability. The nightlight data are found to be useful for exposure and risk mapping in Canada; however, uncertainty analysis should be conducted to investigate the effect of the overglow phenomenon on flood risk mapping.


Geofizika ◽  
2020 ◽  
Vol 37 (1) ◽  
pp. 1-25
Author(s):  
Neslihan Beden ◽  
Aslı Ülke Keskin

Flooding is one of the most catastrophic events among the wide spectrum of natural disasters that impact human communities. The identification of floodprone areas and the probability of occurrence, or estimated return period, of flood events are fundamental to proper planning for flood management and minimization of the social and economic costs of flood damage. In this study, 1D/2D coupled flood models of the Mert River, which flows into the Black Sea at Samsun in north-central Turkey, were developed. Based on the flood modeling results, flood extent, flood depth and flood hazard maps for the river were produced and they showed that the study area is particularly flood prone, as evidenced by catastrophic flooding in 2012. Specifically, the estimated 100, 500 and 1000-year peak discharges would affect 184 ha, 262 ha and 304 ha, respectively, of the 1,200 ha study area. Hazard ratings for the areas expected to be affected are shown in the flood hazard maps generated. The results of this research can be used by local government agencies in Samsun for the development of policies, strategies and actions that would help minimize the social and economic impacts of flooding, especially adjacent to the downstream sections where there is intensive development on the flood plain.


Geosciences ◽  
2017 ◽  
Vol 8 (1) ◽  
pp. 6 ◽  
Author(s):  
Julio Garrote ◽  
Andrés Díez-Herrero ◽  
José Bodoque ◽  
María Perucha ◽  
Pablo Mayer ◽  
...  

2020 ◽  
Author(s):  
Jerom P. M. Aerts ◽  
Steffi Uhlemann-Elmer ◽  
Dirk Eilander ◽  
Philip J. Ward

2017 ◽  
Vol 14 ◽  
pp. 20-24
Author(s):  
Susheel Dangol ◽  
Arnob Bormudoi

Flood is one of the striking water induced disaster that hits most of the part of the world. In Nepal also it is one of the serious disasters which affect the human lives and huge amount of property. The increase of population and squatter settlements of landless people living at the bank of the river has tremendous pressure in encroachment of flood plain making them vulnerable to the flood damage. The study describes the technical approach of probable flood vulnerability and flood hazard analysis. Bishnumati catchment was taken as area of study. One dimension model of HEC-RAS with HEC-GeoRAS interface in co-ordination with ArcGIS was applied for the analysis. Analysis shows that the flood area increases with flood intensity. Higher flood depth increases and lower flood depth decreases with increase in intensity of flood. Inundation of huge area of urban land indicates that in future human lives are more prone to flood disaster. Thus, the study may help in future planning and management for future probable disaster.Nepalese Journal on Geoinformatics, Vol. 14, 2015, page: 20-24


2010 ◽  
Vol 5 (6) ◽  
pp. 657-665 ◽  
Author(s):  
Kenichiro Kobayashi ◽  
◽  
Kaoru Takara ◽  
Mitsugu Funada ◽  
Yukiko Takeuchi ◽  
...  

This paper proposes a flood economic risk assessment framework using vector GIS data, expressing individual house and paddyfield, prepared by a municipal Japanese government. Flood inundation is first simulated with a structured grid, then the simulated flood inundation depth, expressed in grid cells, is assigned to vector data house and paddyfield polygons as attributes. Flood-damage ratios of houses and paddyfields are then calculated using relationships of the flood depth, duration, and damage ratio opened by the Japanese Ministry of Land, Infrastructure, Transport, and Tourisms (MLIT). Economic loss involving building and paddyfield damages due to flooding is then calculated by multiplying the damage ratio, evaluation price per area, and the asset area. The advantage of using such vector data is that it yields the area of each house and paddyfield precisely, which also realizes, on average, the precise economic loss estimation. As the results, the spatial distribution of economic loss on an individual house/paddyfield scale is also identified. Since vector data shows area characteristics, the framework proposed here is useful in communitybased flood management. A workshop presenting the framework showed that the system potentially induces workshop participants to consider community-based flood hazard management.


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