Work

Urban Flood Risk Evaluation in Charsadda District, Pakistan Using AHP and Geospatial Methods

Year: 2026

Type: dataset

Abstract: This study assesses flood risk in Charsadda District, Pakistan, using an integrated AHP-GIS approach based on nine flood-conditioning factors. Rainfall (27.9%), distance to rivers (22.2%), and slope (17.1%) were identified as the most influential factors, with a reliable AHP consistency ratio of 5.7%. The results show that over 81% of the district is in High or Very High flood-risk zones, highlighting the need for effective flood mitigation, land-use planning, and disaster risk management.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22186601

Authors: Khoso, Waheed Ali, Rehman, Rukhshanda, Iqbal, Muhammad Waheed, Khan, Arqam, Basit, Abdul, Rehman, Muhammad Lutfur, Umali, Mussa

Institutions: CECOS University, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, The Catholic University of Malawi

Language: English

Topic: Flood Risk Assessment and Management

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Clean water and sanitation

Open Access status: green

OpenAlex ID: W7204751026

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