Evaluating the impact of urban sprawl on the urban ecological status using GIS and remote sensing from 2000 to 2021: a case study of Herat City, Afghanistan

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Environmental Monitoring and Assessment Pub Date : 2024-11-25 DOI:10.1007/s10661-024-13372-w
Ahmad Shakib Sahak, Fevzi Karsli, Mohammad Anwar Saraj
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Abstract

Urbanization often incurs environmental costs, as fertile agricultural and forested lands are converted into urban areas. Herat City is currently undergoing significant urban transformation. This research aims to assess the impact of urban sprawl on Herat City’s urban ecological status during 2000, 2013, and 2021, using GIS and remote sensing. The urban expansion intensity index was used to measure urban sprawl. The Mean Remote Sensing Ecological Index (MRSEI), integrating known granulation entropy (KGE) and comprehensive distance-based ranking (COBRA) algorithms, was utilized to evaluate urban ecological status. The random forest (RF) supervised machine learning-based algorithm was used to classify the study area into four categories (Built-up, Bare-land, Water, and Vegetation). Findings indicate rapid development from 2000 to 2013, followed by moderate expansion until 2021. Urban ecological quality degradation is observed in various directions over time, with the southeast consistently demonstrating excellent status. Interestingly, while good and excellent urban ecological status decreases over two decades, poor and very poor conditions improve. The research underscores an inverse relationship between urban expansion intensity and ecological status, highlighting the need for improved strategies to mitigate environmental decline. These findings will inform Afghan governmental bodies and international organizations, enabling them to better address resource consumption, ecological disruptions, social inequalities, and foster sustainable development.

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利用地理信息系统和遥感技术评估 2000 年至 2021 年城市扩张对城市生态状况的影响:阿富汗赫拉特市案例研究
由于肥沃的农田和林地被改造成城市地区,城市化往往会带来环境代价。赫拉特市目前正在经历重大的城市转型。本研究旨在利用地理信息系统和遥感技术,评估 2000 年、2013 年和 2021 年城市扩张对赫拉特市城市生态状况的影响。城市扩张强度指数用于衡量城市扩张情况。平均遥感生态指数(MRSEI)综合了已知粒度熵(KGE)和基于距离的综合排名(COBRA)算法,用于评估城市生态状况。采用基于机器学习的随机森林(RF)监督算法,将研究区域划分为四个类别(建成区、裸地、水域和植被)。研究结果表明,从 2000 年到 2013 年,城市发展迅速,随后适度扩张,直至 2021 年。随着时间的推移,城市生态质量向不同方向退化,而东南部则始终保持优良状态。有趣的是,在二十年间,良好和优秀的城市生态状况有所下降,而较差和极差的状况则有所改善。研究强调了城市扩张强度与生态状况之间的反比关系,突出了改善战略以缓解环境退化的必要性。这些研究结果将为阿富汗政府机构和国际组织提供信息,使他们能够更好地应对资源消耗、生态破坏、社会不平等等问题,促进可持续发展。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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