摘要
利用2016-2018年拉萨市区6个环境监测站点逐日PM_(10)质量浓度数据,分析了拉萨市区PM_(10)时空分布特征。结果表明:2016-2018年拉萨市区PM_(10)质量浓度整体基本在一至二级标准;空间上呈远郊>城区>近郊的分布特点,且各圈层均呈冬春季高、夏秋季低的"U"型分布特征。PM_(10)质量浓度主要受温度、降水、湿度、风、气压和日照等气象要素的影响。其中,汛期(4-9月)受湿度和降水的影响较显著,非汛期(10-3月)受风速的影响较显著。选取相关性较好的6个气象因子,建立了拉萨PM_(10)多元回归方程预报,结果显示预报效果良好。
Daily PM_(10) mass concentration data from six environmental monitoring sites in Lhasa from 2016 to 2018 were analyzed by using statistical methods to study the temporal and spatial distribution characteristics of PM_(10) pollution.The result shows that the mass concentrations of PM_(10) was basically the first to second grades.In addition,spatial variation of mass concentrations of PM_(10) presented outer suburbs>urban>suburbs.Seasonal and monthly changes showed the same U-shaped distribution in these three circles.It meant that winter was the worst,and got better in summer.The mass concentration of PM_(10) was mainly affected by meteorological elements such as temperature,precipitation,humidity,wind,pressure,and sunshine.Among them,the influences of humidity and precipitation were significant during the flood season(April to September),and the wind speed significantly affected the PM_(10) during the non-flood season(October to March).Six factors with good correlation were selected to establish multiple regression equation,which showed that the forecast effect is good.
作者
益西曲珍
丁真贡嘎
赛珍
熊亚军
潘多
YIXi Quzhen;Dingzhen Gongga;Sai zhen;XIONG Yajun;PAN Duo(Weather Bureau,Lhasa 850000;Forecast Center of Beijing-Tianjin-Hebei China Meteorological Administration,Beijing 100089,China)
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2021年第7期100-106,共7页
Journal of Arid Land Resources and Environment
基金
第二次青藏高原科考"生物地球化学循环与环境健康"专题(2019QZKK0606)
西藏自治区气象局人才培养项目"拉萨市大气污染影响因子分析与预报建模"(xzqxj201920)资助。
关键词
PM_(10)
时空变化
多元回归
气象要素
拉萨
PM_(10)
spatiotemporal characteristics
multiple regression
meteorological factors
Lhasa
作者简介
益西曲珍(1988-),女,藏族,西藏拉萨人,工程师,主要从事高原气象相关研究,E-mail:997798109@qq.com;通讯作者:熊亚军(1979-),男,汉族,湖北天门人,正高级工程师,中组部第九批援藏干部,E-mail:xyajun78@163.com。
