详细信息
Evaluating the impact of urbanization patterns on LST and UHI effect in Afghanistan's Cities: a machine learning approach for sustainable urban planning ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:Evaluating the impact of urbanization patterns on LST and UHI effect in Afghanistan's Cities: a machine learning approach for sustainable urban planning
作者:Ullah, Sajid[1,2];Khan, Mudassir[3];Qiao, Xiuchen[1]
机构:[1]East China Univ Sci & Technol, Sch Resources & Environm Engn, Shanghai 200237, Peoples R China;[2]Nangarhar Univ, Dept Water Resources & Environm Engn, Jalalabad 2600, Nangarhar, Afghanistan;[3]Quaid I Azam Univ, Dept Environm Sci, Islamabad, Pakistan
年份:2025
外文期刊名:ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
收录:;WOS:【SCI-EXPANDED(收录号:WOS:001481316300001)】;
语种:英文
外文关键词:Land Use and Land Cover (LULC); Land Surface Temperature (LST); Machine learning algorithms; Urban Heat Island (UHI); Unplanned urbanization; Urban sustainability
摘要:Urbanization in Afghanistan's major cities, namely Kabul, Jalalabad, and Herat, has led to significant Land Use and Land Cover (LULC) fluctuations, resulting in increased Land Surface Temperatures (LST) and intensified the Urban Heat Island (UHI) effect. This study analyzes these impacts from 2000 to 2022 using machine learning algorithms (MLA), specifically Support Vector Machine (SVM), in combination with Landsat data. The Cellular Automata-Markov (CA-Markov) and Artificial Neural Network (ANN) models were employed to predict future scenarios for 2033 and 2044. The results show that urbanization has led to an increase in built-up areas and a reduction in vegetation cover across all three cities, with Herat experiencing the most rapid urban expansion. Specifically, Herat's built-up areas grew by 37.14%, while vegetation loss reached 27.66%, surpassing the changes in Kabul and Jalalabad. Projections indicate that Herat will continue to experience the largest increase in LST areas (76.31% in 2033 and 89.76% by 2044), followed by Jalalabad and Kabul. The Urban Thermal Field Variance Index (UTFVI) further revealed significant heat stress intensification, particularly in Herat (19.41% increase), with similar trends in Jalalabad (13.24%) and Kabul (8.05%). These results highlight the urgent need for sustainable urban planning and the implementation of effective urban policies to mitigate thermal stress and reduce urban heat effects in Afghanistan's growing cities.
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