A hybrid method to predict flood vulnerability using MCDM methods and Pareto analysis in a GIS framework

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Water
Published
2025-01-01
DOI
https://doi.org/10.1504/ijw.2025.10071178
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

A hybrid method to predict flood vulnerability using MCDM methods and Pareto analysis in a GIS framework

Sanjeev Kumar Prasad, Priya Mishra
International Journal of Water
Flood Risk Assessment and Management
article

A hybrid method to predict flood vulnerability using MCDM methods and Pareto analysis in a GIS framework

Sanjeev Kumar Prasad, Priya Mishra
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of WaterVol. 1(1)
Climate action
Openalex Percentile: Top 90%
Flood Risk Assessment and Management
DOIOpen Access PDFOpenAlex
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A hybrid method to predict flood vulnerability using MCDM methods and Pareto analysis in a GIS framework — Sanjeev Kumar Prasad, Priya Mishra · International Journal of Water (2025) | TGRS Research Map | TGRS