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了解土地使用/土地覆盖变化与空气质量之间的关系:基于GIS的模糊推断系统方法
1Department of Civil Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, 211004, India. mzaid.esed@iitb.ac.in.
Environmental monitoring and assessment
|November 4, 2024
概括
土地利用和土地覆盖的变化对空气质量产生重大影响,增加了PM10等污染物. 城市化和植被减少与空气质量恶化相关,需要综合管理策略.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 大气化学 大气化学
背景情况:
- 空气污染是一个关键的全球环境和健康问题.
- 土地使用和土地覆盖 (LULC) 变化是空气质量恶化的关键驱动因素.
- 城市化显著改变了排放源,植被和影响空气质量的自然过程.
研究的目的:
- 为了调查空气污染物的时空变化,由于德里的城市LULC变化.
- 分析LULC变化与空气污染物度之间的相关性.
- 开发一个改进的空气质量指数 (AQI),将LULC动态纳入其中.
主要方法:
- 从2008年到2023年,对LULC变化的时空空间分析.
- 测量和分析主要的空气污染物,包括PM10.
- 在LULC指数 (城市和植被) 与PM10度之间的相关性分析.
- 为LULC集成的AQI开发一个模糊推理系统模型.
主要成果:
- 在2008年至2023年期间观察到的PM10度显著增加.
- 建筑面积大幅增加 (24.59%至33.62%) 和植被覆盖率下降 (27.49%至32.37%).
- PM10和城市指数之间的正相关性 (+0.63) 和与植被指数的负相关性 (-0.61).
结论:
- 环境空气质量变化,特别是城市化增加和植被减少,直接导致空气质量恶化.
- 一个LULC集成的AQI提供了对空气污染影响的更现实的评估.
- 了解LULC动态对于有效的空气质量管理和城市地区政策制定至关重要.
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