Geospatial data, especially remote sensing data, have widely been used for providing main data into flood modelling due to it free availability, high resolution dataset can be derived. However, I was wondering and studying how such remote sensing data can be used and provide important data into vulnerability assessment of flooding? Is there anyone could share me your idea.
Thanks.
High resolution data like LiDAR and digital elevation models can be used to determine degrees of flood risk in stream basins. However, there are many factors that go into predictive flood models, including floodplain width, floodplain depth, floodplain and adjacent lowland vegetation density, geologic constrictions in the floodplain, man-made constrictions such as railroad and road berms and their bridges, size of drainage basin, topography of drainage basin, extent of adjacent lowlands, geomorphology, soil permeability, etc. All of these things attribute to how a flood acts at any given location. It is not just plugging these data into a computer program and getting results. An experienced hydrologist should look at the variables and see/predict how these interactions work to produce flooding using scenarios such as 5, 10, 20, 30, 50, etc. centimeters of rainfall over a given period in different portions of the basin.
High resolution data like LiDAR and digital elevation models can be used to determine degrees of flood risk in stream basins. However, there are many factors that go into predictive flood models, including floodplain width, floodplain depth, floodplain and adjacent lowland vegetation density, geologic constrictions in the floodplain, man-made constrictions such as railroad and road berms and their bridges, size of drainage basin, topography of drainage basin, extent of adjacent lowlands, geomorphology, soil permeability, etc. All of these things attribute to how a flood acts at any given location. It is not just plugging these data into a computer program and getting results. An experienced hydrologist should look at the variables and see/predict how these interactions work to produce flooding using scenarios such as 5, 10, 20, 30, 50, etc. centimeters of rainfall over a given period in different portions of the basin.
Goespatial data on watershed characteristics (such as land use, imperviousness, water holding capacity, etc.) can be used in the hydrological analysis and to estimate the flood flow. Topographical data (in geospatial format) is useful in delineating watershed boundaries, cutting cross-sections for hec-ras model, and plotting the flood lines.
The best way to predict vulnerability is through geospatial analysis, Digital elevation model of good spatial resolution will tell how vulnerable a location is, It will give opportunity to predict vulnerability dynamics with varying precipitation level received. Another key factor is the ability to carry out some distinctive spatial analysis that will tell of flood path at different level of precipitation received. Also the ability to manipulate GIS well with 3D extension will go a long way to help in mapping vulnerability.
Hi TAM,
The simple & direct answer is that nowadays such assessment can NOT be done without involving geo-spatial technology. It's a must. Please see attached references.
Cheers
Mohd.
you can follow this link https://www.researchgate.net/publication/294089869_Assessing_flood_inundation_extent_and_landscape_vulnerability_to_flood_using_geospatial_technology_A_study_of_Malda_district_of_West_Bengal_India
Article Assessing flood inundation extent and landscape vulnerabilit...
Excellent question for this important issue. I feel the geospation analysis will be the most suitable options as many has pointed out. One can get several input variables from the geospatioal techniques. The issue comes the collection of some primary data based on people views or from other sources.
The end result from GIS lead to clear visualition of the risk.
Regards
questin does not match my experience.
Please avoid such questions.
R.G.Rastogi
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