典型输送通道城市冬季PM_(2.5)污染与传输变化特征  

Variation Characteristics of PM_(2.5) Pollution and Transport in Typical Transport Channel Cities in Winter

作　　者：代武俊 周颖[1] 王晓琦[1] 齐鹏 DAI Wu-jun;ZHOU Ying;WANG Xiao-qi;QI Peng(Beijing Key Laboratory of Regional Air Pollution and Control,Faculty of Environment and Life,Beijing University of Technology,Beijing 100124,China)

机构地区：[1]北京工业大学环境与生命学部,区域大气复合污染防治北京市重点实验室,北京100124

出　　处：《环境科学》2024年第1期23-35,共13页Environmental Science

基　　金：国家重点研发计划项目(2018YFC0213200);中国博士后科学基金项目(2019M660382);北京市博士后研究基金项目。

摘　　要：以京津冀典型输送通道上的河北西南4个城市邯郸、邢台、衡水和沧州为例,分析了2019~2021年冬季3 a气象条件与PM_(2.5)浓度变化特征,运用潜在源贡献分析(PSCF)和浓度权重分析(CWT)识别了研究期内4个城市PM_(2.5)输送特征,基于气象-空气质量模型(WRF-CMAQ)传输矩阵法和传输通量法量化评估了邯郸、邢台、衡水和沧州与周边地区之间的PM_(2.5)传输贡献,揭示了PM_(2.5)传输净通量的垂直分布变化特征,并进一步识别4个城市两条PM_(2.5)污染主要传输路径.结果表明,在研究期间,4个城市PM_(2.5)浓度呈下降趋势,下降比例分别为45.85%、49.45%、42.40%和31.65%;邯郸和邢台潜在源贡献较大的区域主要分布在山西中南部(临汾、长治和晋中)和河南北部(新乡、开封和郑州)以及少部分内蒙古部分地区(PSCF>0.9),衡水和沧州潜在贡献较大的区域主要集中在河北南部(邯郸、石家庄)、山西中部(太原、阳泉)和部分山东地区(PSCF>0.7),CWT结果显示与PSCF类似;研究时段内4个城市冬季PM_(2.5)均呈现本地贡献率(51.11%~62.99%)略高于区域贡献率(37.01%~48.89%)的特征,受水平湍流和垂直扩散等影响,4个城市2020年区域传输影响较其他年份稍高(0.50%~9.52%),而2021年由于PM_(2.5)浓度较低、气象因素影响等原因,区域传输影响较其他年份稍低(-2.15%~-9.52%);邯郸、邢台、衡水和沧州这4个城市3 a冬季与周边区域总流入(流出)通量强度大小均为:2020年>2021年>2019年,对于总净通量而言,4个城市3 a冬季分别为邯郸:0.094、-0.070和0.087 kt·d^(-1);邢台:0.212、0.395和0.544 kt·d^(-1);衡水:-0.040、-0.228和0.185 kt·d^(-1);沧州:0.062、0.126和0.128 kt·d^(-1).在研究期间邯郸、邢台和沧州多作为污染传输受体,而衡水多为传输源体.在0~1260 m之间,PM_(2.5)净传输通量强度基本随着高度的升高而增大,不同时期不同城市最大净通量不同,邯郸最大净通量位于252~1261 m,邢�Taking Handan,Xingtai,Hengshui,and Cangzhou,four cities in southwest Hebei Province along the Beijing-Tianjin-Hebei typical transport route,as examples,we analyzed the variation characteristics of 3a meteorological conditions and PM_(2.5) concentration in winter from 2019 to 2021 and used potential source contribution analysis(PSCF)and concentration weight analysis(CWT)to identify the transport characteristics of PM_(2.5) in the four cities during the study period.Based on the meteorological air quality model(WRFCMAQ)transmission matrix method and transport flux method,the contribution of PM_(2.5) transport between Handan,Xingtai,Hengshui,and Cangzhou and the surrounding areas was quantitatively assessed;the vertical distribution characteristics of PM_(2.5) net transport flux were revealed;and the two main transport routes of PM_(2.5) pollution were further identified.The results showed that during the study period,the PM_(2.5) concentration decreased by 45.85%,49.45%,42.40%,and 31.65%,respectively.The potential source contribution of Handan and Xingtai was mainly distributed in south-central Shanxi(Linfen,Changzhi,and Jinzhong),northern Henan(Xinxiang,Kaifeng,and Zhengzhou),and a small part of Inner Mongolia(PSCF>0.9).The potential contribution areas of Hengshui and Cangzhou were mainly concentrated in southern Hebei(Handan and Shijiazhuang),central Shanxi(Taiyuan and Yangquan),and some Shandong regions(PSCF>0.7),and the CWT results were similar to those of PSCF.During the study period,the local contribution(51.11%-62.99%)was slightly higher than the regional contribution(37.01%-48.89%)during winter in the four cities.Affected by horizontal turbulence and vertical diffusion,the impact of regional transmission in 2020 was slightly higher than that in other years(0.50%-9.52%).In 2021,the influence of regional transmission was slightly lower than that of other years(-2.15%--9.52%)due to low PM_(2.5) concentration and meteorological factors.For Handan,Xingtai,Hengshui,and Cangzhou,the total inflow(outflow)flux inten

关 键 词：PM_(2.5) 潜在源贡献分析法(PSCF) 浓度权重分析法(CWT) 气象-空气质量模型(WRF-CMAQ) 传输贡献 传输通量 

分 类 号：X513[环境科学与工程—环境工程]