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气象变量对中国污染最严重城市PM_2.5污染的影响分析

Ju Wang^1,2,3, Jiatong Han¹, Tongnan Li¹

¹College of New Energy and Environment, Jilin University, Changchun, 130012, China.

|July 24, 2023

概括

中国的城市化加剧了空气污染. 这项研究表明,减少行星边界层高度,风速和降水加剧PM2.5水平,而温度和水蒸气具有复杂的影响,对政策制定至关重要.

科学领域:

大气科学大气科学
环境科学环境科学
气候学气候学气候学

背景情况:

中国的城市化加剧了空气污染,PM2.5度经常超过安全限值.
PM2.5污染受到排放,气象条件和大气化学反应的复杂相互作用的影响.

研究的目的:

调查关键气象变量对中国严重污染城市PM2.5度的影响.
量化PM2.5水平对行星边界层高度,风速,温度,水蒸气和降水变化的敏感性.

主要方法:

模拟了21个场景,通过单独扰乱五个气象变量 (PBLH,WS,T,Q,PCP).
通过将扰乱场景与基线模拟进行比较,计算出每个变量的影响.
使用模拟和观察PM2.5值之间的相关系数 (R) 评估模型性能.

主要成果:

汉丹记录了最高的年平均PM2.5 (85.75μg/m3),所有研究城市都超过了二级标准.
减少的PBLH,WS和PCP持续增加PM2.5度 (不良影响).
温度和水蒸气显示有条件的积极影响;WS,PBLH和PCP表现出强烈的线性趋势,PM2.5.5.

结论:

气象因素显著影响PM2.5度,具有明显的空间变化.
风速,PBLH和降水是PM2.5水平的关键驱动因素.
温度和水蒸气等复杂的变量需要在空气污染控制策略中仔细考虑.

关键词:

影响分析影响分析气象变量是一个气象变量.北中国平原的北方.对于PM2.5来说,这是一个很好的例子.这是WRF-CMAQQ.

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