What does this research mean for the field?

An integrated GIS-RS-AHP framework utilizing 17 conditioning factors provides reliable basin-scale flood susceptibility mapping in the Subarnarekha River Basin, identifying elevation and slope as the most significant predictors. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To delineate and evaluate flood susceptibility zones within the Subarnarekha River Basin by integrating multicriteria conditioning factors within a GIS and Analytical Hierarchy Process framework.

September 8, 2026Water Practice & Technology

Flood susceptibility mapping of the Subarnarekha River Basin using multicriteria flood conditioning factors in GIS-AHP integrated framework

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Authors

RDRima DasSanskriti Samvardhan Mandal AMAnil Kumar Mishra MHMurtaza HasanIndian Agricultural Statistics Research Institute

Discussion

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Implication

Geospatial modeling study reveals high flood susceptibility in low-lying river basin zones, highlighting a reliable multicriteria framework for flood risk planning.

Key Points

To delineate and evaluate flood susceptibility zones within the Subarnarekha River Basin by integrating multicriteria conditioning factors within a GIS and Analytical Hierarchy Process framework.
Integrated 17 flood-conditioning factors, including elevation, slope, rainfall, drainage density, and vegetation indices, at a uniform 30 m spatial resolution using Geographic Information Systems (GIS) and remote sensing.
Assigned factor weights using the Analytical Hierarchy Process (AHP) and validated model accuracy against an independent flood inventory derived from Sentinel-1 synthetic aperture radar (SAR) data.
The AHP model achieved a consistency ratio of 0.0089 and an area under the receiver operating characteristic curve (AUC) of 0.770 against the SAR-derived flood inventory.
Elevation (17%) and slope (15%) were the most influential flood-conditioning parameters, followed by drainage density (11%), distance from rivers (11%), and rainfall (9%).
Spatial analysis categorized substantial sections of the basin as moderate to high susceptibility, with the highest risk localized in low-lying downstream environments.

Cite This Study

Das et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd7b758e84d0ff5b46ab5 https://doi.org/10.2166/wpt.2026.421

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September 8, 2026Water Practice & Technology

Flood susceptibility mapping of the Subarnarekha River Basin using multicriteria flood conditioning factors in GIS-AHP integrated framework

View Full Paper

Ask AI

Bookmark

Authors

RDRima DasSanskriti Samvardhan Mandal AMAnil Kumar Mishra MHMurtaza HasanIndian Agricultural Statistics Research Institute

Discussion

Member takes

Implication

Geospatial modeling study reveals high flood susceptibility in low-lying river basin zones, highlighting a reliable multicriteria framework for flood risk planning.

Key Points

To delineate and evaluate flood susceptibility zones within the Subarnarekha River Basin by integrating multicriteria conditioning factors within a GIS and Analytical Hierarchy Process framework.
Integrated 17 flood-conditioning factors, including elevation, slope, rainfall, drainage density, and vegetation indices, at a uniform 30 m spatial resolution using Geographic Information Systems (GIS) and remote sensing.
Assigned factor weights using the Analytical Hierarchy Process (AHP) and validated model accuracy against an independent flood inventory derived from Sentinel-1 synthetic aperture radar (SAR) data.
The AHP model achieved a consistency ratio of 0.0089 and an area under the receiver operating characteristic curve (AUC) of 0.770 against the SAR-derived flood inventory.
Elevation (17%) and slope (15%) were the most influential flood-conditioning parameters, followed by drainage density (11%), distance from rivers (11%), and rainfall (9%).
Spatial analysis categorized substantial sections of the basin as moderate to high susceptibility, with the highest risk localized in low-lying downstream environments.

Cite This Study

Das et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd7b758e84d0ff5b46ab5 https://doi.org/10.2166/wpt.2026.421

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