2015—2017年天水市大气污染物变化特征及来源分析
Variation characteristics and source analysis of atmospheric pollutants in Tianshui from 2015 to 2017
查看参考文献36篇
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文摘
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据天水市2015—2017年大气污染物(SO_2、NO_2、CO、O_3、PM_(2.5)和PM_(10))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%.SO_2、NO_2、CO均达标,污染物以颗粒物和O_3为主.②一次污染物SO_2、NO_2、CO、PM_(2.5)和PM_(10)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O_3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SO_2、CO、PM_(2.5)和PM_(10)的贡献最大,交通和工业部门对NO_x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. |
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其他语种文摘
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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 (SO_2,NO_2,CO,PM_(2.5) and PM_(10)) 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 O_3 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 SO_2,CO,PM_(2.5) and PM_(10) is predominant,and the main emission of NO_x 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.) |
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来源
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环境科学学报
,2018,38(12):4592-4604 【核心库】
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DOI
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10.13671/j.hjkxxb.2018.0308
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关键词
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天水市
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大气污染特征
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来源分析
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排放清单
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HYSPLIT模型
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地址
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1.
西北师范大学地理与环境科学学院, 兰州, 730070
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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
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天水师范学院资源与环境工程学院, 天水, 741000
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兰州大学资源环境学院, 兰州, 730000
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兰州大学大气科学学院, 兰州, 730000
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93212部队, 大连, 116000
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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0253-2468 |
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学科
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环境污染及其防治 |
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基金
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中国科学院寒区旱区环境与工程研究所冰冻圈科学国家重点实验室基金
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国家自然科学基金
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文献收藏号
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CSCD:6380601
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