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基于多站混合受体模型的临汾市PM2.5潜在源分析
引用本文:王雁,高兴艾,裴坤宁,孙鸿娉,闫世明,郭伟,王小兰,蒋云盛.基于多站混合受体模型的临汾市PM2.5潜在源分析[J].中国环境科学,2022,42(3):1032-1039.
作者姓名:王雁  高兴艾  裴坤宁  孙鸿娉  闫世明  郭伟  王小兰  蒋云盛
作者单位:1. 山西省气象科学研究所, 山西 太原 030002;2. 山西省人工增雨防雷技术中心, 山西 太原 030002
基金项目:山西省自然科学基金项目(201601D011084,201901D111465); 山西省气象局重点项目(SXKZDDQ20185105);山西省气象局青年基金项目(SXKQNDW20205241,SXKQNDW20217151)
摘    要:利用重污染城市临汾多个站点2018~2019年的PM2.5浓度监测数据,分析了不同季节临汾市PM2.5污染特征及其空间自相关度和集聚模式,最后引入多站受体模型分析临汾市PM2.5潜在源区.研究发现,临汾市的PM2.5污染主要集中在临汾盆地内的8个区县,包括尧都、襄汾、洪洞、霍州、侯马、古县、曲沃和翼城,这8个区县的PM2.5年平均浓度均超过50μg/m3,冬季平均浓度均超过100μg/m3.PM2.5空间分布特征与地形关系密切,临汾盆地内的8个站点空间自相关度很高,PM2.5高浓度区(高-高聚类)主要集中在盆地内部,说明邻近区县污染是临汾市主城区PM2.5浓度居高不下的重要原因.结合多站混合受体模型(MS-PSCF和MS-CWT)分析临汾PM2.5潜在源区,发现临汾市春季的潜在源主要集中在东北、西南和东南部,大部分为中远距离传播;在夏季,潜在源影响明显低于其他3个季节,主要在东部;秋季的潜在源主要集中在西南方向的一些地区;冬季的潜在源主要集中在东南和西南方向以及临汾市北部近距离区域.除夏季外,其他3季共同的潜在源区是陕西中南部地区(位于西南方向),且PSCF值均超过了0.7,说明在西南风时,临汾市发生污染的概率超过70%.

关 键 词:PM2.5  MS-PSCF  MS-CWT  空间自相关分析  
收稿时间:2021-08-12

Analysis of potential sources of PM2.5 in Linfen based on multi-site hybrid receptor model
WANG Yan,GAO Xing-ai,PEI Kun-ning,SUN Hong-ping,YAN Shi-ming,GUO Wei,WANG Xiao-lan,JIANG Yun-sheng.Analysis of potential sources of PM2.5 in Linfen based on multi-site hybrid receptor model[J].China Environmental Science,2022,42(3):1032-1039.
Authors:WANG Yan  GAO Xing-ai  PEI Kun-ning  SUN Hong-ping  YAN Shi-ming  GUO Wei  WANG Xiao-lan  JIANG Yun-sheng
Affiliation:1. Shanxi Province Institute of Meteorological Sciences, Taiyuan 030002, China;2. Shanxi Weather Modification and Lightning Protection Technical Center, Taiyuan 030002, China
Abstract:This paper used the PM2.5 concentration data of multiple sites in the heavily polluted city Linfen from 2018 to 2019 to study the PM2.5 concentration characteristics, spatial autocorrelation and agglomeration patterns in different seasons, and finally analyzed the potential source area of PM2.5 by introducing multi-site receptor model. The study found that the PM2.5 pollution in Linfen mainly concentrated at 8 sites in the Linfen Basin, including Yaodu, Xiangfen, Hongtong, Huozhou, Houma, Guxian,Quwo and Yicheng. The annual average concentration of PM2.5 exceeded 50μg/m3, and the average concentration in winter exceeded 100μg/m3. The spatial distribution characteristic of PM2.5 closely related to the topography, and the eight sites in the Linfen Basin had a high degree of spatial autocorrelation. The high PM2.5 concentration areas(high-high clustering) were mainly concentrated in the basin. Pollution in neighboring counties was an important reason for the high PM2.5 concentration in the main urban area of Linfen. Combined with the multi-site mixed receptor model(MS-PSCF and MS-CWT), we analyzed the potential source areas of Linfen and found that the potential sources of Linfen in spring were mainly concentrated in the northeast,southwest and southeast, most of which were medium and long distance transmission; In summer, the potential sources were significantly lower than the other three seasons, mainly in the east; The potential sources in autumn were mainly concentrated in some areas in the southwest; The potential sources in winter were mainly concentrated in the southeast and southwest and the close area in the north of Linfen. Except for summer, the common potential source area for the other three seasons was central and southern Shaanxi(located in the southwest), and the PSCF values all exceed 0.7, indicating that the probability of pollution in Linfen exceeded 70% during the southwest wind.
Keywords:PM2  5  multi-site PSCF  multi-site CWT  spatial autocorrelation analysis  
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