确定中国表面臭氧污染的地理空间关系:对重点污染控制地区的影响
Yong Cheng1, Yan Peng1, Li-Ming Cao1
1Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
The Science of the total environment
|April 26, 2024
概括
确定中国控制臭氧污染的关键地区至关重要. 这项研究使用一种新的GeoSHAP方法来确定需要共同努力减少臭氧的地区,这些地区是由人类活动驱动的.
科学领域:
- 大气化学和环境科学 大气化学和环境科学
- 地理空间分析和机器学习
背景情况:
- 表面臭氧污染是中国的一个重大环境问题.
- 有效的臭氧控制需要区域间的合作,因为空中质量运输.
- 目前还没有确定具有强烈内部臭氧污染相互作用的地区.
研究的目的:
- 在中国确定具有高臭氧地缘空间关系 (OGR) 的关键地区.
- 了解这些高OGR地区背后的驱动因素.
- 为减轻臭氧污染的有针对性的联合控制战略提供信息.
主要方法:
- 开发和应用的地理空间夏普利添加式扩展 (GeoSHAP) 方法.
- 使用机器学习和地理统计算法.
- 2017年至2021年大气环境监测数据的分析.
主要成果:
- 机器学习模型在预测臭氧度方面取得了很高的准确性 (R2 = 0.98).
- 确定了高OGR的关键地区,包括北方地区 (ND),芬平原,洛斯高原,北中国平原,长江三角洲 (YRD) 和珠江三角洲 (PRD).
- 高OGR是由人为和自然因素的结合驱动的,人类活动是关键因素.
结论:
- 通过GeoSHAP方法,有效地确定了控制臭氧污染的关键区域.
- 在已确定高OGR地区对人为源的有针对性的联合控制对于减轻臭氧污染至关重要.
- 这项研究为中国各地的协作环境管理提供了科学基础.
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