彭州市冬季重点工业源对空气质量影响模拟研究

金思宇; 杨娜; 温守昌; 刘辉; 王继红; 徐赫; 石嘉诚; 吕帆; 胡华; 赵晴

doi:10.13205/j.hjgc.202511012

彭州市冬季重点工业源对空气质量影响模拟研究

doi: 10.13205/j.hjgc.202511012

金思宇¹,
杨娜¹,
温守昌²,
刘辉¹,
王继红¹,
徐赫¹,
石嘉诚¹,
吕帆¹,
胡华¹,
赵晴^1,3, ,

1. 清环智源(北京)科技有限公司, 北京 100084;
2. 成都市彭州生态环境局, 成都 610000;
3. 清华大学环境学院, 北京 100084

详细信息

作者简介:
金思宇（1994—），硕士，工程师，主要研究方向为大气数值模拟。

通讯作者:
赵晴（1983—），博士，高级工程师，主要研究方向为大气污染管控与双碳管理。zhaoqing@tsing-huan.com

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出版历程
- 收稿日期: 2024-02-18
- 录用日期: 2024-04-30
- 修回日期: 2024-04-12
- 网络出版日期: 2026-01-09

A modeling of impact of key industrial sources on winter air quality in Pengzhou City

1. Tsing-Huan Smart Source Technology Co. Ltd., Beijing 100084, China;
2. Pengzhou Ecological Environment Bureau, Chengdu 610000, China;
3. School of Environment, Tsinghua University, Beijing 100084, China

摘要

摘要: 利用WRF-CALPUFF 空气质量模式，结合彭州市环境空气质量监测数据、气象观测资料及工业源排放清单，模拟分析2022年12月—2023年2月（2022年冬季）期间，彭州市重点工业源对近地面PM_2.5浓度贡献及环境空气质量的影响。结果表明：水泥和金属制品是彭州市冬季PM_2.5的重点贡献行业，对彭州市PM_2.5浓度平均贡献为1.96 μg/m³，在工业源中占比达70%以上；在污染天气条件下，这些行业对空气质量的影响更为显著，占比达到80%。通过对比分析2023年1—2月两次典型污染过程，发现重点工业源对PM_2.5浓度贡献与局部风场特征密切相关，尤其是在北风、东北风的影响下，污染物的累积更加明显。2022年冬季，彭州市PM_2.5贡献排名前20家的企业PM_2.5贡献浓度为2.26 μg/m³，污染天气条件下更为显著，贡献浓度为3.34 μg/m³，占所有重点企业总贡献的87%左右。因此，研究通过模拟企业的污染影响，突出重点企业管控的重要性，为环境保护部门科学制定秋冬季重点企业错峰生产和应急减排提供科学依据，以支持空气质量的持续改善。
- WRF-CALPUFF模型 /
- 排放清单 /
- 工业源 /
- PM_2.5
Abstract: As the key area of Chengdu's industrial planning and industrial layout， Pengzhou is not only the key area of Chengdu's industrial source emissions， one of the main transmission channels of air pollutants， but also the upstream area of pollution sources' cross-border transportation and cold air activities. This study utilized the WRF-CALPUFF air quality model， in conjunction with environmental air quality monitoring data from Pengzhou， meteorological observations， as well as an industrial emission inventory， to simulate and analyze the contributions of key industrial sources to ambient PM_2.5 concentrations and their impacts on environmental air quality during the winter of 2022 （from December 2022 to February 2023）. The results indicated that the cement and metal products industries were major contributors to PM_2.5 in Pengzhou during winter， with an average contribution of 1.96 μg/m³ to the PM_2.5 concentration， accounting for over 70% of total industrial sources. During polluted weather conditions， the impact of these industries on air quality was even more significant， reaching approximately 80% of the total influence. Comparative analysis of two typical pollution episodes from January to February 2023 revealed that the contributions of key industrial sources to PM_2.5 concentrations were closely related to local wind field characteristics， particularly under the influence of northerly and north-easterly winds， where pollutants accumulation was more pronounced. In the winter of 2022， the top 20 companies in terms of PM_2.5 contributions in Pengzhou had an average contribution of 2.26 μg/m³， which was more pronounced during polluted weather， reaching 3.34 μg/m³ and accounting for about 87% of the total contributions from all key enterprises. Therefore， by simulating the pollution impact of enterprises， this study highlights the importance of managing key industries， providing a scientific basis for environmental protection departments to formulate off-peak production and emergency emission reduction measures for key industries during autumn and winter， and supporting the continuous improvement of air quality.
- WRF-CALPUFF model /
- emission inventory /
- industrial sources /
- PM_2.5

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