江苏省火电超低排放对环境空气中PM2.5质量浓度影响模拟研究

doi:10.11930/j.issn.1004-9649.201904062

中国电力 ›› 2019, Vol. 52 ›› Issue (9): 167-172.DOI: 10.11930/j.issn.1004-9649.201904062

江苏省火电超低排放对环境空气中PM_2.5质量浓度影响模拟研究

赵秀勇, 朱法华, 王圣, 孙雪丽, 徐静馨

国电环境保护研究院国家环境保护大气物理模拟与污染控制重点实验室, 江苏南京 210031

收稿日期:2019-04-14 修回日期:2019-05-30 出版日期:2019-09-05 发布日期:2019-09-19
作者简介:赵秀勇(1976-),男,博士,高级工程师,从事火电大气环境研究,E-mail:zhxiuyong@126.com
基金资助:
国家重点研发计划资助项目（2016YFC0208102）。

Simulation Study of the Impacts of Ultra-low Emission Implemented in Thermal Power Plants on PM_2.5 Mass Concentration in Ambient Air of Jiangsu Province

ZHAO Xiuyong, ZHU Fahua, WANG Sheng, SUN Xueli, XU Jingxin

State Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, State Power Environmental Protection Research Institute, Nanjing 210031, China

Received:2019-04-14 Revised:2019-05-30 Online:2019-09-05 Published:2019-09-19
Supported by:
This work is supported by National Key Research and Development Program of China (No.2016YFC0208102).

摘要/Abstract

摘要： 为研究火电行业的超低排放对环境空气中PM_2.5下降的贡献，以江苏省火电行业实施超低排放为研究对象，通过建立中尺度气象模型MM5与环境空气质量模型CALPUFF的耦合模型系统，分别模拟计算了超低排放实施前后2013年和2017年火电大气污染物排放对全省环境空气中PM_2.5质量浓度的影响及其下降情况。结果表明，全省火电厂对13个地级市贡献的PM_2.5年均质量浓度从2013年的8.0 μg/m³下降至2017年的4.6 μg/m³，平均下降幅度为42.5%。环境空气质量现状监测结果表明，2017年江苏省13个地级市PM_2.5年均质量浓度较2013年下降了24.1 μg/m³，下降幅度为32.9%，明显低于火电行业贡献的PM_2.5年均浓度下降幅度，相差9.6%，表明这5年间江苏省火电行业通过实施超低排放实现的污染物减排力度总体上超过其他行业的污染物减排力度。最后，提出江苏省未来污染物的治理思路。

关键词: 火电厂, 超低排放, PM_2.5, CALPUFF, 江苏省

Abstract: Taking the implementation practice of ultra-low emissions in power plants of Jiangsu Province as the research object, a coupled model system consisting of mesoscale meteorological model MM5 and environmental air quality model CALPUFF was established to study the contribution of the ultra-low emission implementation in thermal power industry to the reduction of ambient air PM_2.5. The impacts as well as how much ambient air PM_2.5 mass concentration is reduced in the province were simulated and calculated respectively in 2013 and 2017, which correspond to the years before and after the ultra-low emission implementation. The results show that the average annual PM_2.5 concentration contributed by the province's thermal power plants at 13 prefecture-level cities was reduced from 8.0 μg/m³ in 2013 to 4.6 μg/m³ in 2017 with the average decrease rate of 42.5%. The environmental air quality monitoring results show that the average annual concentration of PM_2.5 in 13 prefecture-level cities in Jiangsu Province in 2017 was 24.1 μg/m³ lower than that in 2013 with a decrease rate of 32.9%, which is significantly lower than the average annual concentration reduction of PM2.5 contributed by thermal power industry. The difference of 9.6% shows that the emission reduction of pollutants in the thermal power industry has entirely exceeded the emission reduction of pollution sources generated in other industries in Jiangsu Province in the past five years. At last, the route of pollutants control is proposed for the future.

Key words: thermal power, ultra-low emission, PM_2.5, CALPUFF, Jiangsu Province

中图分类号:

TM621
X701

赵秀勇, 朱法华, 王圣, 孙雪丽, 徐静馨. 江苏省火电超低排放对环境空气中PM_2.5质量浓度影响模拟研究[J]. 中国电力, 2019, 52(9): 167-172.

ZHAO Xiuyong, ZHU Fahua, WANG Sheng, SUN Xueli, XU Jingxin. Simulation Study of the Impacts of Ultra-low Emission Implemented in Thermal Power Plants on PM_2.5 Mass Concentration in Ambient Air of Jiangsu Province[J]. Electric Power, 2019, 52(9): 167-172.

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https://www.electricpower.com.cn/CN/Y2019/V52/I9/167

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江苏省火电超低排放对环境空气中PM_2.5质量浓度影响模拟研究

Simulation Study of the Impacts of Ultra-low Emission Implemented in Thermal Power Plants on PM_2.5 Mass Concentration in Ambient Air of Jiangsu Province

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江苏省火电超低排放对环境空气中PM2.5质量浓度影响模拟研究

Simulation Study of the Impacts of Ultra-low Emission Implemented in Thermal Power Plants on PM2.5 Mass Concentration in Ambient Air of Jiangsu Province

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江苏省火电超低排放对环境空气中PM_2.5质量浓度影响模拟研究

Simulation Study of the Impacts of Ultra-low Emission Implemented in Thermal Power Plants on PM_2.5 Mass Concentration in Ambient Air of Jiangsu Province