摘要
为研究成都市降水对大气颗粒物(以下简称颗粒物)的湿清除作用,对2014—2016年成都市的颗粒物(PM2.5、PM10)和气象观测数据进行分析。结果表明:月、季尺度下,降水对PM2.5、PM10均有削减作用。降水时段的PM2.5、PM10浓度较非降水时段分别降低17.1%和15.8%,且冬季降幅最为明显。考察472次降水过程对颗粒物的湿清除作用,发现单次降水过程后PM2.5、PM10浓度增长频次(243、234次)和削减频次(229、238次)接近,但颗粒物浓度总体呈削减趋势。对于单次降水过程,颗粒物的初始浓度与降水对颗粒物的湿清除作用关系密切,特别是降水持续时间超过8h后,颗粒物初始浓度越高,削减效果越好。
In order to study the wet removal effect of atmospheric particulate matter(particulate matter for short)by precipitation in Chengdu.The particulate matter(PM2.5,PM10)samples and meteorological observation data of Chengdu were analyzed from 2014 to 2016.The results showed that,PM2.5 and PM10 could be removed by precipation at monthly and seasonal scales.About 17.1%of the PM2.5 concentrations and 15.8%of the PM10 concentrations was decreased during precipitation period,respectively,compared with that during non-precipitation period and the removal effect was most significant in winter.The wet removal effect of 472 precipitation processes on particulate matter was investigated.It was found that the increasing frequency(243,234 times)and decreasing frequency(229,238 times)of PM2.5 and PM10 were almost the same after a single precipitation process,but the particulate matter concentrations generally decreased.For a single precipitation process,the wet removal effect of particulate matter by precipitation was closely related to the initial concentration of particulate matter,especially when the duration of precipitation exceeded 8 h,the higher the initial concentration of particulate matter,the better the removal effect of precipation.
作者
于人杰
康平
任远刘瑞
李明山
张小玲
袁亮
朱倩
黄逸飞
YU Renjie;KANG Ping;REN Yuanliurui;LI Mingshan;ZHANG Xiaoling;YUAN Liang;ZHU Qian;HUANG Yifei(Plateau Atmosphere and Environment Key Laboratory of Sichuan Province,School of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu Sichuan 610225)
出处
《环境污染与防治》
CAS
CSCD
北大核心
2020年第8期990-995,共6页
Environmental Pollution & Control
基金
国家重点研发计划项目(No.2018YFC0214001)
国家自然科学基金重大研究计划项目(No.91644226)
国家自然科学基金资助项目(No.41775147)
四川省重大科技专项(No.2018SZDZX0023)
四川省科技计划重大前沿项目(No.2018JY0011)
四川省教育厅理科重点项目(No.18ZA0086)
成都信息工程大学科研基金项目(No.KYTZ201725)。
