Flood Vulnerability Assessment In Cuddalore: A Data-driven Approach To Rainfall And River Overflow

• Author(s):

  Mr.M.Gopinath | Mr.M.Gopinath | K.Susidharan | J.Yuvaraj | B.Manikandan | D.Kirubakaran

• Keywords:

  Data Analysis, Water Level Predictions,Analysis, Detections , Detections

• Abstract:

  As In This Project, Rainfall Plays A Crucial Role In Determining Agricultural Productivity, Water Resource Availability, And Environmental Sustainability. This Study Utilizes Geographic Information System (GIS) Techniques To Analyze The Spatial And Temporal Distribution Of Rainfall In The [insert Region Name] Over The Period Of [insert Years]. Rainfall Data From [insert Source, E.g., Indian Meteorological Department (IMD)] Was Processed Using Interpolation Methods Such As Inverse Distance Weighted (IDW) And Kriging In ArcGIS To Generate Continuous Surface Maps. Zonal Statistics Were Employed To Assess Rainfall Distribution Across Administrative Boundaries. The Analysis Revealed Significant Spatial Variability In Rainfall Patterns, Highlighting Regions Of Both Excess And Deficit Rainfall. These Insights Are Essential For Agricultural Planning, Disaster Risk Reduction, And Efficient Water Resource Management. The Study Demonstrates The Effectiveness Of ArcGIS As A Decision-support Tool For Climatological And Hydrological Assessments.

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Other Details

• Paper id:

  IJSARTV11I4103079

• Published in:

  Volume: 11 Issue: 4 April 2025

• Publication Date:

  2025-04-11

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