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Flood risk index mapping in data scarce region by considering GIS and MCDA (FRI mapping in data scarce region by considering GIS and MCDA).

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Title: Flood risk index mapping in data scarce region by considering GIS and MCDA (FRI mapping in data scarce region by considering GIS and MCDA).
Authors: Ray, S. K.1 (AUTHOR) sanjayiitg632@gmail.com
Source: Environment, Development & Sustainability. Jul2025, Vol. 27 Issue 7, p17329-17381. 53p.
Subject Terms: *Analytic hierarchy process, *Thematic maps, *Natural disasters, *Environmental sciences, *Rainfall, *Soil erosion
Abstract: Climate change is responsible for triggering one of the most destructive natural disasters known as flooding. The flood risk index quantifies the vulnerability of an area to flooding, providing valuable insights for mitigation and preparedness efforts. Flood risk index integrates factors, aiding understanding and fostering resilient communities. This study uses an integrated strategy of geospatial technology and multi-criteria decision analysis to produce a map of the flood risk index for a data scarce region. Through this research work, fifteen thematic maps (i.e., Lithology, Soil, Slope, Drainage Density, Land use and Land cover, Rainfall, Distance from river, Permeability, Runoff, Normalized Difference Vegetation Index, Normalized Difference Built-up Index, Modified Normalized Difference Water Index, Topographic Wetness Index, Profile and Plan Curvature) in case of flood hazard index and three thematic maps (i.e., Population density, Crop production and Road river interaction) in case of flood vulnerability index were used. Thematic maps checked for multicollinearity, overlaid in ArcGIS with ranked assignments using AHP to develop flood hazard and vulnerability maps. The flood risk map was developed by integrating the flood hazard and vulnerability maps. The research region divided into five categories based on flood risk index map: very low (8%), low (28%), moderate (16%), high (20%), and very high (28%). The regions such as Vangara, Pathapatnam, Tekkali, Kusumala, Ichapuram shows very high tendency towards flood risk. This was due to favorable factors such as high/ moderate runoff, slope (very gentle/ gentle), very low/ low permeability, lithology (granite/ gneiss) etc. of the research region. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
An: 186625838
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Flood risk index mapping in data scarce region by considering GIS and MCDA (FRI mapping in data scarce region by considering GIS and MCDA).
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  Data: <searchLink fieldCode="AR" term="%22Ray%2C+S%2E+K%2E%22">Ray, S. K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sanjayiitg632@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Jul2025, Vol. 27 Issue 7, p17329-17381. 53p.
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  Data: *<searchLink fieldCode="DE" term="%22Analytic+hierarchy+process%22">Analytic hierarchy process</searchLink><br />*<searchLink fieldCode="DE" term="%22Thematic+maps%22">Thematic maps</searchLink><br />*<searchLink fieldCode="DE" term="%22Natural+disasters%22">Natural disasters</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+sciences%22">Environmental sciences</searchLink><br />*<searchLink fieldCode="DE" term="%22Rainfall%22">Rainfall</searchLink><br />*<searchLink fieldCode="DE" term="%22Soil+erosion%22">Soil erosion</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Climate change is responsible for triggering one of the most destructive natural disasters known as flooding. The flood risk index quantifies the vulnerability of an area to flooding, providing valuable insights for mitigation and preparedness efforts. Flood risk index integrates factors, aiding understanding and fostering resilient communities. This study uses an integrated strategy of geospatial technology and multi-criteria decision analysis to produce a map of the flood risk index for a data scarce region. Through this research work, fifteen thematic maps (i.e., Lithology, Soil, Slope, Drainage Density, Land use and Land cover, Rainfall, Distance from river, Permeability, Runoff, Normalized Difference Vegetation Index, Normalized Difference Built-up Index, Modified Normalized Difference Water Index, Topographic Wetness Index, Profile and Plan Curvature) in case of flood hazard index and three thematic maps (i.e., Population density, Crop production and Road river interaction) in case of flood vulnerability index were used. Thematic maps checked for multicollinearity, overlaid in ArcGIS with ranked assignments using AHP to develop flood hazard and vulnerability maps. The flood risk map was developed by integrating the flood hazard and vulnerability maps. The research region divided into five categories based on flood risk index map: very low (8%), low (28%), moderate (16%), high (20%), and very high (28%). The regions such as Vangara, Pathapatnam, Tekkali, Kusumala, Ichapuram shows very high tendency towards flood risk. This was due to favorable factors such as high/ moderate runoff, slope (very gentle/ gentle), very low/ low permeability, lithology (granite/ gneiss) etc. of the research region. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10668-024-04641-2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 53
        StartPage: 17329
    Subjects:
      – SubjectFull: Analytic hierarchy process
        Type: general
      – SubjectFull: Thematic maps
        Type: general
      – SubjectFull: Natural disasters
        Type: general
      – SubjectFull: Environmental sciences
        Type: general
      – SubjectFull: Rainfall
        Type: general
      – SubjectFull: Soil erosion
        Type: general
    Titles:
      – TitleFull: Flood risk index mapping in data scarce region by considering GIS and MCDA (FRI mapping in data scarce region by considering GIS and MCDA).
        Type: main
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            NameFull: Ray, S. K.
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            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
          Identifiers:
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              Value: 1387585X
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              Value: 27
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Environment, Development & Sustainability
              Type: main
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