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对PM_2.5运输在北中国平原的多视角和多空间和时间尺度上的定量评估技术的见解

Hanyu Zhang¹, Xuejun Wang¹, Longyue Lv¹

¹School of Ecology and Environment, Beijing Technology and Business University, Beijing, 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing, 100048, China.

Environmental pollution (Barking, Essex : 1987)

|October 6, 2023

概括

跨境运输对中国北方平原有重大影响.

科学领域:

环境科学环境科学
大气化学大气化学
空气质量研究空气质量研究

背景情况:

跨境运输是影响空气质量的关键因素,但其量化仍然具有挑战性.
了解PM2.5运输的多视角和多规模贡献对于有效控制空气污染至关重要.

研究的目的:

建立和应用三种量化技术来评估在北中国平原 (NCP) 上的PM2.5传输.
系统地评估当地排放与城市间和区域外运输对表面PM2.5度的贡献.
分析PM2.5传输的垂直和时间变化,特别是在雾事件期间.

主要方法:

使用数值模拟和垂直观测来评估PM2.5传输.
开发和使用了三种不同的量化技术.
固定点和基于车辆的移动激光雷达被用于验证模拟流量数据.

主要成果:

每年的当地排放占表面PM2.5的44.5%-64.6%,而运输贡献了33.2%-55.5%.
运输强度在7月和4月达到顶峰,在水面附近占主导地位的南南北,北南南,南南北方向.
大气边界层以下的PM2.5运输在北京,天津和石家庄的度增加;雾峰II阶段显示出最高的流量强度.

结论:

跨境运输在NCP空气质量方面发挥着重要作用,特别是在雾事件期间.
有效的减排战略需要协调,多区域的方法,及时干预建议在污染极端发生前1-2天.
这些发现提高了对PM2.5传输机制的理解,并为NCP地区的有针对性的控制措施提供了信息.

关键词:

化学运输模型化学运输模型在PM中{2.5)北方的中国平原.运输量化技术的运输量化技术.

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