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Spatial-temporal variation characteristics of air pollution and apportionment of contributions by different sources in Shanxi province of China

机译:中国山西省不同来源空气污染及贡献分摊的空间变化特征

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摘要

With the implementation of the Air Pollution Prevention and Control Action Plan (APPCAP) since 2013, significant declines in pollutants concentrations have achieved in nationwide of China. However, as one of the major coal-production bases and intensive energy-consuming provinces in China, Shanxi has still been suffering from severe air quality problems in recent years. In this study, by combining a detailed bottom-up emission inventory and the weather research and forecasting (WRF) model/comprehensive air quality model with extensions (CAMx) model, the evolution of pollutant concentrations, source apportionment, and migration potentials from 2012 to 2015 in Shanxi are investigated. Estimated primary air pollutants emission declined significantly during 2012-2015. Compared with 2012, the simulated concentrations of PM2.5, PM10, SO2 and NO2 in January of 2015 are reduced by 24.7%, 24.1%, 23.0% and 18.0%, respectively. In contrast, heavy contaminated areas have shown negligible variations, which are highly concentrated in Taiyuan, Linfen, Jincheng, Changzhi, Lvliang, Yangquan and Jinzhong cities. In terms of contribution by source categories, the other industries and residential sources are identified as the most significant local contributors for PM2.5 and PM10, while SO2 and NO2 are mainly emitted by other industries and power plants. Scenarios analysis of 50% emission mitigation suggests that the emission reduction measures are generally more effective in summer than in winter. Moreover, the mitigation potential for each city varies from each other. These results indicate that more appropriate seasonal-specific emission reduction measures in each prefecture-level city should be implemented to further improve regional air quality and thus better protect public health.
机译:随着航空污染预防和控制行动计划(APPCAP)的实施,自2013年以来,在中国全国达到了污染物浓度的显着下降。然而,作为中国的主要煤炭生产基地之一,山西仍遭受近年来严重的空气质量问题。在本研究中,通过将详细的自下而上的排放库存和天气研究和预测(WRF)模型/综合空气质量模型与扩展(CAMX)模型相结合,2012年从污染物浓度,源分摊和迁移电位的演变2015年在山西进行了调查。 2012 - 2015年,估计的主要空气污染物排放显着下降。与2012年,2015年1月的PM2.5,PM10,SO2和No2的模拟浓度分别降低了24.7%,24.1%,23.0%和18.0%。相比之下,重量污染的地区表现出可忽略不计的变体,这在太原,临汾,金城,长治,吕良,阳泉和晋中城市中都是高度集中的。在源类别的贡献方面,其他行业和住宅来源被确定为PM2.5和PM10最重要的当地贡献者,而SO2和NO2主要由其他行业和发电厂发出。 50%排放减排的情景分析表明,减排措施一般在夏季比冬季更有效。此外,每个城市的缓解潜力彼此不同。这些结果表明,应实施每个县级城市的更多适当的季节性排放减排措施,以进一步提高区域空气质量,从而更好地保护公共卫生。

著录项

  • 来源
    《Atmospheric environment》 |2021年第1期|117926.1-117926.14|共14页
  • 作者单位

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

    Tsinghua Univ Sch Environm Beijing 100084 Peoples R China;

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

    Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China|Beijing Normal Univ Ctr Atmospher Environm Studies Beijing 100875 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Primary air pollutants; WRF-CAMx model; Sectoral contribution; Mitigation potentials; Shanxi province of China; Prefecture-level city;

    机译:原发性空气污染物;WRF-CAMX模型;部门贡献;减缓潜力;山西省县;县级市;

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