气象驱动因素对空气质量指数的影响:来自德里的案例研究
Danish Ali1, Mani Singh1, Anwar Ali Khan2
1Department of Environmental Science, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi, 110025, India.
Environmental pollution (Barking, Essex : 1987)
|October 28, 2025
概括
德里德里德里德里德里德里德里德里德
科学领域:
- 环境科学 环境科学
- 大气科学 大气科学
- 公共卫生 公共卫生
背景情况:
- 空气质量对人类健康和可持续发展至关重要.
- 德里面临着严重的空气污染挑战.
- 了解空气质量指数 (AQI) 的变化至关重要.
研究的目的:
- 从2017年到2024年分析德里AQI的每日,每月和每年的变化.
- 通过使用先进的时间序列模型,研究 AQI 和气象变量之间的动态关系.
- 确定德里空气污染的主要驱动因素.
主要方法:
- 对德里 (2017-2024) 的每日,每月和每年 AQI 和气象数据的分析.
- 矢量自回归 (VAR) 模型的应用,格兰杰因果关系测试,冲动响应函数和方差分解.
- 使用VAR(2) 模型来评估AQI动态和气象因素的影响.
主要成果:
- 德里的平均AQI约为210,显示到2024年与2017年相比有所改善.
- 德里的空气污染主要是由自我积累和扩散模式 (约. 93%在早期的时期).
- 温度 (13.2%) 是影响力最大的气象因素,其次是风速 (3.3%) 和降雨 (2.1%). 相对湿度的影响最小 (<2%).
结论:
- 德里的空气污染在很大程度上是自我延续的,在分散不良的五天内迅速恶化.
- 温度是影响AQI的主要气象因素.
- 结果提供了对城市空气污染动态的见解,并建议未来对人为因素的研究.
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