使用高密度空气传感器网络在港口地区复杂的排放动态的时空空间分析
Jun Pan1, Ying Wang2, Xiaoliang Qin3
1Shanghai Environmental Monitoring Center, Shanghai 200233, China.
Toxics
|October 25, 2024
概括
货运码头严重污染空气的氧化 (NOx). 这项研究使用了上海终端的传感器网络来确定高NO和NO2水平,确定当地排放是主要来源.
科学领域:
- 环境科学 环境科学
- 大气化学 大气化学
- 城市空气质量 城市空气质量
背景情况:
- 货运码头是关键基础设施,但也是空气污染的主要来源.
- 来自终端的辐射表现出复杂的空间和时间变化.
- 氧化 (NO和NO2) 是影响空气质量的关键污染物.
研究的目的:
- 研究上海货运码头中NO和NO2度的时空分布.
- 确定排放源并量化它们对总NO和NO2水平的贡献.
- 为有针对性的排放控制战略提供数据.
主要方法:
- 在四个功能区部署高密度空气传感器网络 (17个站点).
- 对NO和NO2度的高分辨率监测.
- 与监管监测站相对应的数据验证.
- 使用最低百分位数方法进行空间分析和基线提取.
主要成果:
- 和二氧化的度在上午6点达到峰值,这可能是由于重型柴油卡车的法规.
- 在核心运营区域和邻近的道路上观察到NO度最高.
- 当地排放占NO的80%以上和NO2度的32-70%以上.
结论:
- 当地排放是NO的主要来源,也是货运码头NO2的重要贡献者.
- 了解空间异质性对于有效的排放控制至关重要.
- 这些发现支持制定有针对性的政策,以减轻货运码头造成的空气污染.
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