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<p>Flood is one of the most devastating natural catastrophes that badly impact the infrastructure, natural environments and socio-economic conditions of the riparian people. The low-lying areas in the Dikhow River basin are mainly affected by floods annually. The Remote Sensing and GIS techniques are integrated with the Frequency Ratio (FR) model to develop the flood hazard zonation map of the study area for delineating the places that are vulnerable to flood. Based on FR model the final flood hazard zonation map was created and 118 Training Data sets with the 48 Testing Data sets were utilized to validate the model. In the present research, a total number of about 11 flood inducing factors i.e. slope, aspect, elevation, curvature, Topographic Wetness Index (TWI), Normalized Difference Vegetation Index (NDVI), Land Use/Land Cover (LU/LC), Lithology, Drainage Density, Distance from Streams and Rainfall were used. All these variables were resampled into 30 × 30&#xa0;m pixel size. The final Flood Hazard Zonation (FHZ) Map has been generated and classified the flood-affected areas of the Dikhow River basin into five categories namely very low, low, medium, high, and very high susceptible to floods. The efficiency of the FR model is checked by employing the Receiver Operating Characteristics (ROC) curve with Area Under Curve (AUC) that show a success rate of 0.911 and a prediction rate of 0.951 which can be taken as reliable for taking flood-controlling mitigative measures. The research outcome of this study will be going to help the researchers, planners, and government administrators to develop a proper plan of administrative action for preventing floods in the study area.</p>

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Application of frequency ratio model for flood hazard zonation in the Dikhow River basin, Northeast India

  • 期刊论文

  • 发表日期：

    2025年3月11日

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  • Anannya Panging,
  • Srinivasa Rao Koduru,
  • A. Simhachalam,
  • Lakhyajit Baruah

摘要

Flood is one of the most devastating natural catastrophes that badly impact the infrastructure, natural environments and socio-economic conditions of the riparian people. The low-lying areas in the Dikhow River basin are mainly affected by floods annually. The Remote Sensing and GIS techniques are integrated with the Frequency Ratio (FR) model to develop the flood hazard zonation map of the study area for delineating the places that are vulnerable to flood. Based on FR model the final flood hazard zonation map was created and 118 Training Data sets with the 48 Testing Data sets were utilized to validate the model. In the present research, a total number of about 11 flood inducing factors i.e. slope, aspect, elevation, curvature, Topographic Wetness Index (TWI), Normalized Difference Vegetation Index (NDVI), Land Use/Land Cover (LU/LC), Lithology, Drainage Density, Distance from Streams and Rainfall were used. All these variables were resampled into 30 × 30 m pixel size. The final Flood Hazard Zonation (FHZ) Map has been generated and classified the flood-affected areas of the Dikhow River basin into five categories namely very low, low, medium, high, and very high susceptible to floods. The efficiency of the FR model is checked by employing the Receiver Operating Characteristics (ROC) curve with Area Under Curve (AUC) that show a success rate of 0.911 and a prediction rate of 0.951 which can be taken as reliable for taking flood-controlling mitigative measures. The research outcome of this study will be going to help the researchers, planners, and government administrators to develop a proper plan of administrative action for preventing floods in the study area.