Assessment of flood hotspot at a village level using GIS-based spatial statistical techniques

  • Raja Majumder
  • Gouri Sankar BhuniaEmail author
  • Poly Patra
  • Anukul Ch. Mandal
  • Debashish Ghosh
  • Pravat Kumar Shit
Original Paper


The spatial mapping of flood menace extents is crucial for the effective and competent enactment of risk-lessening strategy. We focused on geographical pattern and variation in flood-affected villages in Bongaon sadar sub-division, West Bengal, India, during the period between 1996 and 2016. To appraise the indigenous smoothing and dissimilarity of flood-affected/non-affected villages, GIS-based Voronoi statistics were used. Inverse distance weighting (IDW) is used to interpolate and predict the pattern of flood-affected/non-affected zones across the sub-division. Moran’s I index statistics was considered to appraise spatial auto-correlation among the flood affected and non-affected villages. Getis-OrdGi*(d) statistics was employed to recognize the flood hotspot and cold spot areas within the study site. The higher magnitude of Moran’s I was calculated as 1999–2001, 2004, 2011, 2013, 2015, and 2016. The high Z score was recorded in 1996–1999, 2001–2003, 2011, 2013, and 2014 indicated a spatial clustering of flood-affected villages. The predictive map derived through IDW showed that 7.76% (64.59 km2) area comes under very high threat zones of flood, followed by 16.27% as high risk, 24.49% as medium risk, 23.97% as low risk, and 27.51% as very low risk. This study determines the solicitation of GIS-based prophecy for the impost of revelation mapping, so as to define the latitudinal extent and frequency of areas where most affected villages are located and potential risk areas.


GIS Spatial clustering IDW Hotspots Flood assessment Flood prediction Flood control 



We extend our thanks to the Department of Geography, Raja N. L. Khan Women’s College (Autonomous), Medinipur, India, for providing necessary facilities and logistic support for conducting the research work.

Conflict of interest

on behalf of all authors states that there is no conflict of interest.


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Copyright information

© Saudi Society for Geosciences 2019

Authors and Affiliations

  • Raja Majumder
    • 1
  • Gouri Sankar Bhunia
    • 1
    Email author
  • Poly Patra
    • 1
  • Anukul Ch. Mandal
    • 1
  • Debashish Ghosh
    • 1
  • Pravat Kumar Shit
    • 2
  1. 1.Department of GeographySeacom Skills UniversityBirbhumIndia
  2. 2.Department of GeographyRaja N L Khan Women’s College (Autonomous)MedinipurIndia

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