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2015—2017年天水市大气污染物变化特征及来源分析
引用本文:王芳龙,李忠勤,尤晓妮,刘峰,周茜,仝纪龙,张昕,汪芳琳,马珊,张添姿.2015—2017年天水市大气污染物变化特征及来源分析[J].环境科学学报,2018,38(12):4592-4604.
作者姓名:王芳龙  李忠勤  尤晓妮  刘峰  周茜  仝纪龙  张昕  汪芳琳  马珊  张添姿
作者单位:西北师范大学地理与环境科学学院, 兰州 730070,1. 西北师范大学地理与环境科学学院, 兰州 730070;2. 中国科学院西北生态环境资源研究院, 冰冻圈科学国家重点实验室/天山冰川站, 兰州 730000,天水师范学院资源与环境工程学院, 天水 741000,西北师范大学地理与环境科学学院, 兰州 730070,兰州大学资源环境学院, 兰州 730000,兰州大学大气科学学院, 兰州 730000,西北师范大学地理与环境科学学院, 兰州 730070,兰州大学资源环境学院, 兰州 730000,兰州大学资源环境学院, 兰州 730000,93212部队, 大连 116000
基金项目:冰冻圈科学国家重点实验室自主课题(No.SKLCS-ZZ-2018);国家自然科学基金(No.41761017)
摘    要:据天水市2015-2017年大气污染物(SO2、NO2、CO、O3、PM2.5和PM10)的监测数据及气象资料,分析了天水市大气污染物的浓度变化特征,并利用排放源清单和HYSPLIT模型对污染物来源进行了解析.结果表明:①天水市空气质量有所下降,总体优良率达84.9%.SO2、NO2、CO均达标,污染物以颗粒物和O3为主.②一次污染物SO2、NO2、CO、PM2.5和PM10浓度具有相似的季节变化和日变化特征,冬季最高,夏季最低,日变化呈早晚双峰型.二次污染物O3夏季浓度最高,冬季最低,日变化呈单峰型.③天水市空气质量主要受污染物的本地排放和外来输送的影响,本地民用和工业部门对SO2、CO、PM2.5和PM10的贡献最大,交通和工业部门对NOx的分担率最高,民用部门是CO的最大排放源;西北和东部气流是污染物外来的最主要输送路径.此外,污染物在城市大气中的稀释、扩散和转移也受当地气象因素(气温、降水、风向等)的影响.

关 键 词:天水市  大气污染特征  来源分析  排放清单  HYSPLIT模型
收稿时间:2018/6/1 0:00:00
修稿时间:2018/7/22 0:00:00

Variation characteristics and source analysis of atmospheric pollutants in Tianshui from 2015 to 2017
WANG Fanglong,LI Zhongqin,YOU Xiaoni,LIU Feng,ZHOU Xi,TONG Jilong,ZHANG Xin,WANG Fanglin,MA Shan and ZHANG Tianzi.Variation characteristics and source analysis of atmospheric pollutants in Tianshui from 2015 to 2017[J].Acta Scientiae Circumstantiae,2018,38(12):4592-4604.
Authors:WANG Fanglong  LI Zhongqin  YOU Xiaoni  LIU Feng  ZHOU Xi  TONG Jilong  ZHANG Xin  WANG Fanglin  MA Shan and ZHANG Tianzi
Institution:College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070,1. College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070;2. State Key Laboratory of Cryospheric Sciences/Tianshan Glaciological Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000,College of Resources and Environmental Engineering, Tianshui Normal University, Tianshui 741000,College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070,College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000,College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000,College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070,College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000,College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000 and 93212 PLA Troops, Dalian 116000
Abstract:Based on the monitoring data of air pollutants and corresponding meteorological records, we investigated the concentration variation of air pollutants in Tianshui from 2015-2017, and the source of pollutants was analyzed by using emission source inventory and HYSPLIT model. The results show that Tianshui''s air quantity declined to some extent in past three years, but the days with excellent or good quality is still in the majority, with an eligibility rate of 84.9%. Primary pollutants (SO2, NO2, CO, PM2.5 and PM10) show similar seasonal and daily variation patterns. The maximum primary pollutant concentration appears in winter and minimum is in summer, with a bimodal daily variation pattern (morning and evening). While concentration of secondary pollutants O3 is highest in summer and lowest in winter, with a unimodal daily variation pattern. Tianshui''s air quality is mainly affected by local emission and external atmospheric transport. The contribution of local civil and industrial sectors to SO2, CO, PM2.5 and PM10 is predominant, and the main emission of NOx is transportation and industrial sectors. Civil sector is the largest emission sources of CO among various sectors. The results of back trajectory analysis indicate that northwest and eastern air mass is the main transport path for external pollutant. Besides, dilution, diffusion and transfer of pollutants are also influenced by local meteorological factors (temperature, precipitation, wind direction, etc.)
Keywords:Tianshui  air pollution characteristic  source analysis  emission inventory  HYSPLIT model
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