文献类型：期刊文献

英文题名：Spatiotemporal Mapping of Urban Flood Susceptibility: A Multi-Criteria GIS-Based Assessment in Nangarhar, Afghanistan

作者：Ahmad, Imtiaz[1];Ping, Wang[1];Ullah, Sajid[2,3];Faqeih, Khadeijah Yahya[4];Alamri, Somayah Moshrif[4];Alamery, Eman Rafi[4];Abalkhail, Asma Abdulaziz Abdullah[5];Jan, Haji Muhammad Bilal[1]

机构：[1]Northeast Normal Univ, Sch Geog Sci, Key Lab Geog Proc & Ecol Secur Changbai Mt, Minist Educ, Changchun 130024, Peoples R China;[2]East China Univ Sci & Technol, Sch Resources & Environm Engn, Shanghai 200237, Peoples R China;[3]Nangarhar Univ, Dept Water Resources & Environm Engn, Jalalabad 2600, Nangarhar, Afghanistan;[4]Princess Nourah bint Abdulrahman Univ, Coll Humanities & Social Sci, Dept Geog & Environm Sustainabil, POB 84428, Riyadh 11671, Saudi Arabia;[5]King Saud Univ, Coll Humanities & Social Sci, Dept Geog, Riyadh 11451, Saudi Arabia

年份：2025

卷号：14

期号：12

外文期刊名：LAND

收录：;WOS:【SSCI(收录号:WOS:001647558200001)】；

基金：Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2025R673), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

语种：英文

外文关键词：urban flooding; climate change; urbanization; land use planning; multi-criteria analysis

摘要：Urban Flooding is one of the most prevalent natural hazards worldwide, leading to substantial human and economic losses. Therefore, the assessment and mapping of flood hazard levels are essential for reducing the impact of future flood disasters. This study develops and integrates a methodology to evaluate urban flood susceptibility in Nangarhar Province, Afghanistan, a semi-arid region with limited prior research. Landsat imagery from 2004 to 2024 was used to analyze land use land cover change (LULCC), indicating that built-up areas increased from 124 to 180 km2 in 2004 to 2024, respectively, while agricultural land decreased from 1978 km2 to 1883 km2 during the same period. Climate data exhibit increases in temperatures and intensifying rainfall, exacerbating flood hazards. Geospatial analysis of elevation, slope, drainage density, and proximity to water bodies highlights the high susceptibility of low-lying areas. The Analytical Hierarchy Process (AHP) was employed to integrate diverse flood risk factors and produce accurate flood hazard maps. The findings show that very-high flood susceptibility zones expanded from 1537 to 1699 km2 in 2004 to 2024, whereas low-susceptibility zones declined from 131 km2 to 110 km2. Socioeconomic indicators such as population density, built-up density, and education accessibility were also incorporated into the assessment. This study underscores the need for adaptive land use planning, resilient drainage systems, and community-based flood risk reduction strategies. The findings provide actionable insights for sustainable flood management and demonstrate the value of combining GIS, remote sensing, and multi-criteria analysis in data-scarce, conflict-affected regions.