摘要
为精细了解襄阳市近地面颗粒物污染时空风险,该文利用空气质量监测密集微型站、气象监测站、GDAS等数据,结合ArcGIS空间插值、气流运动轨迹聚类、潜在源贡献因子分析、相关性分析等方法研究了局地尺度下襄阳城区2018年冬夏季大气颗粒物时空污染特征及其影响因素。研究表明:(1)襄阳城区颗粒物污染具有明显季节性,冬季明显较夏季更为严重,冬季颗粒物污染具有“周末效应”和“春节效应”,而“周末效应”在夏季并不明显;(2)冬季PM_(2.5)、PM_(10)污染总体呈现以汉江和唐白河为界线的“南高北低”态势,而夏季PM_(2.5)浓度呈现“北高南低”态势,PM_(10)浓度则呈现“西高东低”态势;(3)不管是冬季还是夏季,襄阳城区均受本地污染的影响较大,其次是周边地区或城市的中短距离污染传输,途径内蒙古、青海、陕西等省份的北方冷空气携带颗粒物南下也是造成襄阳城区冬季雾霾天气的重要潜在来源。研究验证了高密度、全方位空气质量监测网络构建的有效性和必要性,且为精确掌握局地尺度近地面大气污染规律特征、分析污染成因以及制定具体防控应对策略提供了依据和参考。
As a typical industrial city in Central China,Xiangyang city has frequently suffered from haze weather in recent years.In this paper,the temporal and spatial variation and influencing factors of particulate pollutants in Xiangyang in winter and summer of 2018 are studied by using the data of dense pollutant micro monitoring stations and meteorological monitoring stations,combined with spatial interpolation analysis,air flow trajectory clustering,potential source contribution analysis and correlation analysis.The research shows that the particulate matter pollution in Xiangyang in winter is significantly more serious than that in summer.In winter,the particulate matter pollution in Xiangyang presents a significant“Weekend Effect”and“Spring Festival Effect”,while the“Weekend Effect”is not obvious in summer.The concentration of PM_(2.5)and PM_(10)showed a state of“high in the South and low in the North”with Hanjiang River and Tangbai River as the boundary in winter.While in summer,the concentration of PM_(2.5)was“high in the north and low in the South”,while the concentration of PM_(10)was“high in the West and low in the East”.Whether in winter or summer,Xiangyang is greatly affected by local pollution emissions,followed by the medium and short-distance pollutant transmission in surrounding areas or cities.It should be emphasized that the northern cold air passing through Inner Mongolia,Qinghai,Shaanxi and other places carries particles southward,which is an important potential source of haze pollution in winter.The study provides a basis and reference for accurately analyzing the pattern of near surface air pollution at local scale,the causes of pollution and the formulation of pollution prevention and control strategies.
作者
刘稳
詹庆明
邱春迪
戴文博
巫溢涵
LIU Wen;ZHAN Qingming;QIU Chundi;DAI Wenbo;WU Yihan(Digital City Research Center,Wuhan University,Wuhan 430072,China;Research Institute for Smart City,Shenzhen University,Shenzhen 518060,China;Faculty of Built Environment,University of Malaya,Kuala Lumpur 50603,Malaysia;Guangzhou Urban Planning and Design Survey Research Institute,Guangzhou 510060,China;School of Architecture and Urban Planning,Huazhong University of Science and Technology,Wuhan 430074,China)
出处
《环境科学与技术》
CAS
CSCD
北大核心
2023年第S01期8-18,共11页
Environmental Science & Technology
基金
国家自然科学基金项目(51878515,52078389)
深圳市科技研发资金重点项目(20220809120650001)
关键词
局地尺度
工业城市
时空规律
空间插值
后向轨迹
WPSCF
微型监测站
local scale
industrial city
temporal-spatial distribution
spatial interpolation analysis
backward trajectory
WPSCF
micro monitoring station
