[基于可解释的机器学习的城市臭氧驱动因素]
Chao-Long Wang1, Lian Xue2, Yi-Sheng Zhang1
1School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266525, China.
Huan jing ke xue= Huanjing kexue
|May 20, 2025
概括
气象因素在青岛显著推动臭氧 (O3) 污染,为其形成贡献了67.7%. 污染物排放占32.3%,太阳辐射,温度和湿度发挥着关键作用.
科学领域:
- 大气化学 大气化学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 臭氧 (O3) 污染是城市地区的重大环境问题.
- 了解O3形成的驱动因素对于有效的污染控制策略至关重要.
- 青岛是一个沿海城市,面临着与空气质量和O3污染有关的挑战.
研究的目的:
- 调查气象因素和大气污染物排放对青岛O3污染的影响.
- 量化气象因素和排放对O3形成的贡献.
- 确定影响O3度的主导因素的空间和时间变化.
主要方法:
- 使用极端梯度增强 (XGBoost) 模型与夏普利添加式扩展 (SHAP) 结合进行分析.
- 从2019年到2023年在青岛的16个地点收集的数据.
- 分析了表面太阳辐射,温度,相对湿度,边界层高度,风,NO2,PM2.5和PM10对O3度的影响.
主要成果:
- 气象因素对O3形成有67.7%的贡献,而排放量占32.3%.
- 表面的太阳辐射,温度和相对湿度对O3形成产生了重大影响,具有特定的时间模式.
- NO2和PM2.5与O3呈现复杂的关系,因时间,季节和地点而异. 表面太阳辐射和NO2是超过O3标准的日子里的主要驱动因素.
结论:
- 天气条件是青岛O3污染的主要驱动因素.
- 污染物排放,特别是NO2和PM2.5,起着重要的作用,特别是在冬季和高污染日.
- 有效的O3控制策略必须考虑气象影响和减排,根据特定地区和季节量身定制.
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