A multi-criteria decision-making approach to vulnerability assessment of rural flooding in Khyber Pakhtunkhwa Province, Pakistan

Assessment of rural regions’ vulnerability to flooding is gaining prominence on a global scale. However, researchers are greatly undermined in their efforts to make a comprehensive assessment owing to the multidimensional and non-linear link between different indicators and flood risk. Thus, a multi...

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Bibliographic Details
Published in:Environmental science and pollution research international 2023-04, Vol.30 (19), p.56786-56801
Main Authors: Khan, Abid, Gong, Zaiwu, Shah, Ashfaq Ahmad, Haq, Mirajul
Format: Article
Language:English
Subjects:
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Decision making
Earth and Environmental Science
Ecotoxicology
Entropy
Entropy (statistics)
Environment
Environmental Chemistry
Environmental Health
Environmental risk
Environmental science
Family Characteristics
Flooding
Floods
Households
Humans
Indicators
multi-criteria decision making
Multiple criteria decision making
Multiple criterion
Pakistan
Ranking
Research Article
risk
risk assessment
Rivers
Rural areas
Rural Population
Sensitivity analysis
Waste Water Technology
Water Management
Water Pollution Control
Weighting methods
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Summary:Assessment of rural regions’ vulnerability to flooding is gaining prominence on a global scale. However, researchers are greatly undermined in their efforts to make a comprehensive assessment owing to the multidimensional and non-linear link between different indicators and flood risk. Thus, a multi-criteria decision-making (MCDM) approach is proposed to assess the multifaceted vulnerability of rural flooding in Khyber Pakhtunkhwa Province, Pakistan. This research presents a hybrid model for flood vulnerability assessment by combining TOPSIS and the entropy weight method. Households’ vulnerability to flooding in rural areas is assessed through four components (social, economic, physical, and institutional) and twenty indicators. All indicator weights are derived using the entropy weight method. The TOPSIS method is then used to rank the selected research areas based on their flood vulnerability levels. The ranking results reveal that flood vulnerability is highest in the Nowshehra District, followed by the Charsadda, Peshawar, and D.I. Khan Districts. The weighting results show that physical vulnerability is the most important component, while location of household’s house from the river source (
ISSN:1614-7499
0944-1344
1614-7499
DOI:10.1007/s11356-023-25609-1