从社会经济因素和区域连接的角度解读PM2.5污染的空间模式
Yanyang Wang1, Zhongwei Luo2, Haoqi Wang1
1Key Laboratory of Urban Air Particulate Pollution Prevention and Control of Ministry of Ecology and Environment, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300350, China.
Ecotoxicology and environmental safety
|August 29, 2025
概括
颗粒物 (PM2.5) 污染受社会经济因素和区域联系的影响. 了解这些联系对于有效的空气质量管理和联合预防战略至关重要.
科学领域:
- 环境科学
- 大气化学
- 社会经济学
背景情况:
- 最近关于PM2.5空间模式的研究在宏观社会经济影响和排放连接方面存在局限性.
- 现有研究往往忽视了社会经济驱动因素和区域空气污染运输之间的复杂相互作用.
研究的目的:
- 调查中国PM2.5污染的空间模式.
- 分析社会经济因素对PM2.5排放的影响.
- 探索PM2.5污染的区域连接.
主要方法:
- 综合分析框架:实证直角函数,莫莱特波形分析,时间序列分解,反向传播神经网络,地理探测器和社会网络分析.
- 利用来自中国279个城市的PM2.5,气象和社会经济数据集 (2015-2021年).
主要成果:
- PM2.5的主要空间模式与污染物排放和大气运输领域保持一致.
- 关键的社会经济驱动因素包括人均天然气供应,工业附加值和公路货运量.
- 在中国主要经济地区 (北京-天津-河北,长江三角洲,珍珠河三角洲) 观察到的PM2.5排放的复杂空间连接.
结论:
- 综合框架有效分析大规模的PM2.5污染.
- 强调需要为空气污染管理制定区域共同的预防和控制战略.
- 强调常规调节而不是偶尔的干预,以持续改善空气质量.
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