2015—2018年京津冀地区不同天气类型影响的PM2.5输送特征及减排效果分析

doi:10.3969/j.issn.1673-503X.2023.04.014

Abstract

Abstract:

According to the weather type, PM_2.5 pollution days in the Beijing-Tianjin-Hebei region from 2015 to 2018 were divided into uniform pressure type, rear part of a high pressure type and northwest high-pressure type.WRF-CAMx and WRF-CMAQ models were used to analyze PM_2.5 sources and simulate emission reduction in Beijing and Shijiazhuang.The results show that compared with the pressure equalization type and the northwest high-pressure type, PM_2.5 pollution under the rear part of a high pressure type appears least in Beijing and Shijiazhuang, but the transport of external pollution is more obvious there.On PM_2.5 pollution days under three weather types, the emission contribution of local pollution sources in Shijiazhuang is higher than that in Beijing, which is one of the main reasons why the PM_2.5 concentration in Shijiazhuang is higher than that in Beijing.Affected by different weather types, the transport and source characteristics of PM_2.5 pollutants are different in Beijing and Shijiazhuang.According to the transport characteristics of PM_2.5 pollutants in Shijiazhuang, the emission reduction optimization scheme can reach 83.6%~91.3% of the joint emission reduction of the central and southern cities of Beijing-Tianjin-Hebei region, which is reasonable and efficient.

Key words: WRF mode, Regional transportation, Emission reduction scheme

CLC Number:

Yannan HU,Kai MENG,Yuling YANG,Cuiping MA,Wenxing LI,Zhichun MA. Analysis of PM_2.5 transport characteristics and emission reduction effects of different weather types in the Beijing-Tianjin-Hebei region from 2015 to 2018[J]. Journal of Meteorology and Environment, 2023, 39(4): 114-121.

Figures/Tables 8

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References 35

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模式	方案名称	方案选择
WRF	微物理方案	WSM 3-class simple ice scheme^[22]
	长波辐射参数化方案	RRTM^[23]
	短波辐射参数化方案	Dudhia scheme^[24]
	陆面过程	Noah陆面过程方案^[25]
	边界层参数化方案	Yonsei University scheme^[26]
	积云参数化方案	Kain-Fritsch (new Eta) scheme^[27]
	水平平流方案	PPM^[28]
CAMx	干沉降方案	ZHANG03^[29]
CAMx	气溶胶化学机制	CF^[30]
CMAQ	气相化学机制	CB-IV^[31]

污染天气类型	出现时间
均压型	2016年12月3—4日
	2016年12月16—17日
	2016年12月29日至2017年1月1日
	2017年2月2—3日
	2017年10月26—27日
	2018年1月18—20日
	2018年2月18—19日
高压后部型	2015年12月7—8日
	2017年1月23—25日
	2017年2月14—15日
	2018年11月2—3日
西北高压型	2015年1月3—5日
	2015年12月23—24日
	2016年1月2—3日
	2016年12月18—19日
	2017年1月7—8日
	2017年2月4—5日
	2017年12月22—23日
	2017年12月29—30日

站点	平均值/(μg·m^-3)		MB	NMB/(%)	NME/(%)	r
站点	模拟值	观测值	MB	NMB/(%)	NME/(%)	r
北京市	105.03	101.65	3.38	3.32	43.70	0.76
石家庄市	203.29	199.70	8.45	4.40	32.71	0.76

方案名称	均压型	高压后部型	西北高压型
TC	石家庄市、保定市减排50% 邢台市、邯郸市减排30%	石家庄、邢台减排50% 保定、邯郸减排30%	石家庄、保定减排50% 北京、廊坊减排30%
SC	京津冀中南部减排50%	京津冀中南部减排50%	京津冀中南部减排50%

减排效率/(%)		污染天气形势类型
减排效率/(%)		均压型	高压后部型	西北高压型
TC	石家庄	50.2	47.7	40.6
TC	其他城市	24.7	20.5	13.0
SC	石家庄	54.6	56.7	46.1
SC	其他城市	44.4	39.4	39.4
$ \frac{\mathrm{TC}}{\mathrm{SC}} \times 100 \%$	石家庄	91.3	83.6	89.1
$ \frac{\mathrm{TC}}{\mathrm{SC}} \times 100 \%$	其他城市	46.2	41.2	38.8

Analysis of PM_2.5 transport characteristics and emission reduction effects of different weather types in the Beijing-Tianjin-Hebei region from 2015 to 2018

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Analysis of PM2.5 transport characteristics and emission reduction effects of different weather types in the Beijing-Tianjin-Hebei region from 2015 to 2018

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Analysis of PM_2.5 transport characteristics and emission reduction effects of different weather types in the Beijing-Tianjin-Hebei region from 2015 to 2018