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[不同传输通道下珠江三角洲地区臭氧与前体物排放的非线性响应关系]

[Nonlinear Response Relationship Between Ozone and Precursor Emissions in the Pearl River Delta Region Under Different Transmission Channels].

作者信息

Wu Yong-Kang, Chen Wei-Hua, Yan Feng-Hua, Mao Jing-Ying, Yuan Bin, Wang Wei-Wen, Wang Xue-Mei

机构信息

Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Institution for Environmental and Climate Research, Jinan University, Guangzhou 510443, China.

出版信息

Huan Jing Ke Xue. 2022 Jan 8;43(1):160-169. doi: 10.13227/j.hjkx.202104141.

Abstract

With the rapid development of urbanization, ozone (O) pollution is an ongoing occurrence in the Pearl River Delta (PRD) region in China. The effective control of O pollution is a great challenge owing to the nonlinear relationship between O and precursor emissions and the effect of meteorological conditions. Based on the regional air quality model CAMx-OSAT (ozone source apportionment technology), O formation regimes were determined, and inter-city transportation across PRD was quantified under different transmission channels. The results showed that spatial differences were observed for the O formation regimes under different transmission channels. The VOCs-sensitive regime was mainly located in the central areas of the PRD region, and the NO-sensitive regime was distributed in the suburban areas of the PRD regions under calm wind conditions. When the northeast wind was prevailing, the polluted air mass of the urban agglomeration was transmitted southwesterly downward, resulting in the downwind areas being transformed to VOCs-sensitive; the upwind areas were still NO-sensitive. Under the southeast wind, the VOCs-sensitive regime had a banding distribution along the southeast-northwest direction, and the remaining areas were NO-sensitive. With the influence of transmission channels, downwind cities were significantly affected by the transmission of upwind urban agglomerations (41%-87%), whereas the local formation was the main contributor under the calm wind conditions (60%-87%). To explore the relationship between O and precursor emissions, a series of sensitivity tests were designed. The results showed that maximized areas (20%-36%) with reductions in O can be achieved by reducing VOCs and NO in the corresponding sensitive regimes, and the maximized level with the reduction in O can be fulfilled by reducing VOCs in the VOCs-sensitive regime. For the typical city Jiangmen, the area that met the standard increased the most under the calm wind (11%) and southeast wind (8%) conditions when VOCs and NO were reduced in the corresponding sensitive regimes. Additionally, under northeast wind conditions, reducing VOCs in the VOCs-sensitive regime can more effectively control O, as the area up to the standard increased by 140%.

摘要

随着城市化的快速发展,臭氧(O)污染在中国珠江三角洲(PRD)地区持续出现。由于臭氧与前体物排放之间的非线性关系以及气象条件的影响,有效控制臭氧污染是一项巨大挑战。基于区域空气质量模型CAMx - OSAT(臭氧源解析技术),确定了臭氧生成机制,并在不同传输通道下对珠江三角洲地区的城际传输进行了量化。结果表明,不同传输通道下臭氧生成机制存在空间差异。VOCs敏感型机制主要位于珠江三角洲地区的中部,在静风条件下,NO敏感型机制分布在珠江三角洲地区的郊区。当东北风盛行时,城市群的污染气团向西南方向向下传输,导致下风区转变为VOCs敏感型;上风区仍为NO敏感型。在东南风条件下,VOCs敏感型机制沿东南 - 西北方向呈带状分布,其余区域为NO敏感型。受传输通道影响,下风城市受上风城市群传输的影响显著(41% - 87%),而在静风条件下本地生成是主要贡献者(60% - 87%)。为探究臭氧与前体物排放之间的关系,设计了一系列敏感性试验。结果表明,通过在相应敏感型机制中减少VOCs和NO,可实现臭氧减少的最大面积(20% - 36%),在VOCs敏感型机制中减少VOCs可实现臭氧减少的最大程度。对于典型城市江门,在静风(11%)和东南风(8%)条件下,当在相应敏感型机制中减少VOCs和NO时,达标的面积增加最多。此外,在东北风条件下,在VOCs敏感型机制中减少VOCs能更有效地控制臭氧,因为达标面积增加了140%。

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