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针对光化学空气污染的前体物排放进行位置特定控制。

Location-Specific Control of Precursor Emissions to Mitigate Photochemical Air Pollution.

机构信息

Department of Civil and Environmental Engineering, University of California, Berkeley, California 94720, United States.

Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States.

出版信息

Environ Sci Technol. 2023 Jul 4;57(26):9693-9701. doi: 10.1021/acs.est.3c01934. Epub 2023 Jun 17.

DOI:10.1021/acs.est.3c01934
PMID:37329338
Abstract

The effects of precursor emission controls on air quality can vary greatly depending on where emission reductions occur. We use the adjoint of the Community Multiscale Air Quality (CMAQ) model to evaluate impacts of spatially targeted NO emission reductions on odd oxygen (O = O + NO). The air quality responses studied here include one population-weighted regionwide and three city-level receptors in Central California. We map high-priority locations for NO control and their changes over decadal time scales. The desirability of NO-focused emission control programs has increased between 2000 and 2022. We find for present-day conditions that reducing NO emissions by 28% from targeted high-priority locations can achieve 60% of the air quality benefits of uniform NO reductions at all locations. High-priority source locations are found to differ for individual city-level versus regionwide receptors of interest. While high-impact emission hotspots for improving city-level metrics are found within the city itself or closely adjacent, the spatial pattern of emission hotspots for improving regionwide air quality is more complex and requires comprehensive consideration of upwind sources. Results of this study can help to inform strategic decision-making at local and regional levels about where to prioritize emission control efforts.

摘要

前体物排放控制对空气质量的影响差异很大,这取决于减排发生的地点。我们使用大气多尺度空气质量模型(CMAQ)的伴随模型来评估空间靶向 NO 减排对臭氧(O = O + NO)的影响。这里研究的空气质量响应包括加利福尼亚州中部一个人口加权的区域和三个城市级别的受体。我们对 NO 控制的高优先级地点进行了映射,并对其在十年时间尺度上的变化进行了分析。与 2000 年相比,2022 年对以 NO 为重点的排放控制计划的需求有所增加。我们发现,在当前条件下,从高优先级的目标地点减少 28%的 NO 排放,可以实现所有地点均匀减少 NO 排放的 60%的空气质量效益。对于个别城市级和区域级感兴趣的受体,高优先级的源地点有所不同。虽然提高城市层面指标的高影响排放热点位于城市内部或附近,但改善区域空气质量的排放热点的空间模式更为复杂,需要综合考虑上风源。本研究的结果可以帮助地方和地区层面的战略决策制定,了解在哪里优先考虑排放控制工作。

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