Recognition and Ranking of Factors Influencing Flood Occurrence in Baghlan Markazi District Using AHP and SAW Methods

Floods are one of the major natural hazards globally, leading to substantial economic damages and loss of human lives annually as a result of various contributing factors. Among natural disasters, floods contribute to approximately 20% of global disaster-related mortality and 33% of total economic losses. Afghanistan is one of the developing countries that, due to its broader challenges, has not yet implemented a comprehensive strategy for flood management. Baghlan Province, as one of Afghanistan's key industrial and agricultural regions, is highly vulnerable to flooding due to its topographical features. Central Baghlan District experienced significant human and financial losses as a result of floods in the spring of 1403 AH. This paper first conducts a detailed analysis of the factors influencing flood occurrence in Sheikh Jalal, Darwaza Kan, Laqiha, and Shahrak Mohajerin areas of Central Baghlan District. Subsequently, four key factors and twenty specific criteria were identified as significantly affecting flood occurrence in the region. After conducting field observations and site studies, a questionnaire was developed in accordance with the identified effective factors and criteria, structured within the framework of the Analytical Hierarchy Process (AHP). Interviews were then carried out with local residents, domain experts, and government officials to collect relevant data. After obtaining the weights of the criteria, the second questionnaire was designed using the Simple Additive Weighting (SAW) method, and interviews were conducted with local residents, experts, and relevant officials. The influencing factors were ranked based on their normalized weights, where the environmental factor ranked first with a weight of 0.261, while the economic factor ranked last with a weight of 0.224.

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Publication Details

Journal
Journal of Natural Science Review
Published
2025-06-30
DOI
https://doi.org/10.62810/jnsr.v3i2.226
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
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article

Recognition and Ranking of Factors Influencing Flood Occurrence in Baghlan Markazi District Using AHP and SAW Methods

Mohammad Bashir Aimaq, Saleh Mohammad salehy, Masoud Haqbin
Journal of Natural Science Review
Flood Risk Assessment and Management
article

Recognition and Ranking of Factors Influencing Flood Occurrence in Baghlan Markazi District Using AHP and SAW Methods

Mohammad Bashir Aimaq, Saleh Mohammad salehy, Masoud Haqbin
article en

Abstract

Floods are one of the major natural hazards globally, leading to substantial economic damages and loss of human lives annually as a result of various contributing factors. Among natural disasters, floods contribute to approximately 20% of global disaster-related mortality and 33% of total economic losses. Afghanistan is one of the developing countries that, due to its broader challenges, has not yet implemented a comprehensive strategy for flood management. Baghlan Province, as one of Afghanistan's key industrial and agricultural regions, is highly vulnerable to flooding due to its topographical features. Central Baghlan District experienced significant human and financial losses as a result of floods in the spring of 1403 AH. This paper first conducts a detailed analysis of the factors influencing flood occurrence in Sheikh Jalal, Darwaza Kan, Laqiha, and Shahrak Mohajerin areas of Central Baghlan District. Subsequently, four key factors and twenty specific criteria were identified as significantly affecting flood occurrence in the region. After conducting field observations and site studies, a questionnaire was developed in accordance with the identified effective factors and criteria, structured within the framework of the Analytical Hierarchy Process (AHP). Interviews were then carried out with local residents, domain experts, and government officials to collect relevant data. After obtaining the weights of the criteria, the second questionnaire was designed using the Simple Additive Weighting (SAW) method, and interviews were conducted with local residents, experts, and relevant officials. The influencing factors were ranked based on their normalized weights, where the environmental factor ranked first with a weight of 0.261, while the economic factor ranked last with a weight of 0.224.

Journal of Natural Science ReviewVol. 3(2)
University of Petroleum (ID), Baghlan University (AF)
Openalex Percentile: Top 85%
Flood Risk Assessment and Management
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