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2013-2015年十堰市环境空气质量变化趋势分析研究
引用本文:蔡敏,王莹,金安,李朝,吴双,刘刚.2013-2015年十堰市环境空气质量变化趋势分析研究[J].环境科学与管理,2016(12):130-136.
作者姓名:蔡敏  王莹  金安  李朝  吴双  刘刚
作者单位:1. 湖北省十堰市环境保护监测站,湖北 十堰,442000;2. 湖北省十堰市环境保护局,湖北 十堰,442000
摘    要:利用十堰市空气自动监测站的监测数据,采用综合指数、空气质量指数(AQI)和Spearman秩相关系数法等评价方法,研究十堰市2013年-2015年环境空气质量变化情况及其影响因素,为城市的大气污染防治提供治理思路.结果表明:2013年-2015年十堰市城区空气质量逐年好转,除PM10和PM2.5外,其他因子均达标,污染物贡献比例中,PM10和PM2.5污染负荷占比超过50%,为主要污染物;十堰市城区空气质量整体呈夏季较好,冬季较差的趋势;全市中开发区铁二处空气质量较好,张湾区刘家沟空气质量较差;结合自然因素和人为因素,综合分析空气质量的变化情况,通过调整能源结构、减少污染源排放和使用清洁能源等多项措施,并注意季节特征和加强预警预报工作,进而改善空气质量.

关 键 词:环境空气质量  综合指数  气象因素  Spearman秩相关系数法

The Analysis of the Variation Trend of Air Quality in Shiyan during 2013 to 2015
Cai Min,Wang Ying,Jin An,Li Chao,Wu Shuang,Liu Gang.The Analysis of the Variation Trend of Air Quality in Shiyan during 2013 to 2015[J].Environmental Science and Management,2016(12):130-136.
Authors:Cai Min  Wang Ying  Jin An  Li Chao  Wu Shuang  Liu Gang
Abstract:The environmental monitoring data of air pollutants in ShiYan from 2013 to 2015 were evaluated by air quality com-prehensive index, air quality index( AQI) and Spearman rank correlation coefficient to study the variation trend and influence fac-tor of air quality. Then provided some idea of air pollution control for the Cities. Results showed that:(1)The value of compre-hensive pollution index decreased year by year, indicating the air quality was improved. Except PM10 and PM2. 5 , the others a-chieved the secondary standard. PM10 and PM2. 5 were primary pollutants. The change of environmental air quality was the most se-rious pollution in winter and the lightest in summer. The ambient air quality in stations from poor to good was Liu Jiagou, Bing Hexincun and Tie Erchu. Combining with natural factors and human factors, comprehensive analysis the changes in air quality, to improve the quality of the environment through adopting a number of environmental protection policies such as adjusting the energy structure, control emissions and using clean energy, which played a crucial role in improving the air quality, attention seasonal characteristics and strengthening early warning and forecasting work.
Keywords:ambient air quality  the comprehensive index method  meteorological element  Spearman rank correlation coefficient
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