利用城市分析和机器学习来实现可持续的城市发展:一个多维框架来建模沙特阿拉伯城市化对环境的影响
Abdulaziz I Almulhim1, Abdulla Al Kafy2, Md Nahid Ferdous3
1Department of Urban and Regional Planning, College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, 31451, Saudi Arabia.
Journal of environmental management
|April 3, 2024
概括
沙特阿拉伯的快速城市化对土地,水和空气质量产生了重大影响. 本研究使用机器学习来分析城市扩张及其对环境的影响,并推可持续发展战略.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 遥感 遥感 遥感 遥感
背景情况:
- 可持续的城市发展对于资源管理和减轻城市化对环境的影响至关重要.
- 沙特阿拉伯经历了快速的城市化,需要对其环境后果进行评估.
研究的目的:
- 在沙特阿拉伯 (1987-2022) 开发一个使用机器学习进行时空城市扩张分析的综合框架.
- 量化城市扩张对土地,水和空气质量参数的影响.
- 为可持续城市发展和环境管理提供基于证据的建议.
主要方法:
- 利用基于机器学习的城市分析,遥感和统计技术.
- 估计的植被健康状况,建筑面积,不透的表面,水体,土壤特性,热舒适度,空气污染物 (PM2.5,CH4,CO,NO2,SO2) 和夜间照明.
- 应用回归分析和主要组件分析 (PCA) 来评估城市扩张和环境参数之间的关系.
主要成果:
- 观察到城市面积大幅增长 (0.067%-0.14%),土壤水分 (16%-14%) 和水体 (60%-22%) 显著下降.
- 记录了PM2.5度 (44μg/m3到73μg/m3) 和夜间光强度 (0.166-9.670) 在全国范围内增加.
- PCA表示,植被覆盖面,土壤水分,热舒适度,PM2.5和NO2受到城市扩张的影响最大.
结论:
- 沙特阿拉伯的城市扩张对土地,水和空气质量产生了重大负面影响.
- 有效的干预措施,包括绿色创新,混合用途开发,绿色空间保护,绿色建筑技术和可再生能源至关重要.
- 拟议的框架支持以证据为基础的政策,以平衡经济进步与环境可持续性,并促进可持续的城市增长.
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