基于属性识别模型的铜仁市空气质量评价  

Air Quality Assessment of Tongren City Based on Attribute Recognition Model

作　　者：马炳南 侯双双[1] 吴伟 MA Bingnan;HOU Shuangshuang;WU Wei(College of Life Sciences,Guizhou University,Guiyang 550025,China)

机构地区：[1]贵州大学生命科学学院,贵州贵阳550025

出　　处：《贵州大学学报（自然科学版）》2023年第1期112-117,共6页Journal of Guizhou University:Natural Sciences

基　　金：贵州省自然科学基金资助项目(黔科合基础-ZK[2022]重点021)。

摘　　要：为行政部门有效治理城市环境和生态保护,科学客观评价空气质量极为重要。本研究以铜仁市为对象,统计分析了2015-2020年铜仁市空气污染物变化动态特征,同时利用属性识别模型综合评价了铜仁市空气质量水平。研究结果表明:1)铜仁市主要污染物是PM_(2.5)、PM_(10)和O_(3),其污染程度为PM_(2.5)>PM_(10)≈O_(3),PM_(2.5)和PM_(10)浓度水平处于Ⅱ级标准,PM_(2.5)在冬季处于不达标水平,PM_(10)于2020年达Ⅰ级以下标准,有显著好转,O_(3)浓度2016年以来显著增加,存在污染风险。2)铜仁市近几年空气综合质量均为Ⅰ级标准,但空气质量综合水平呈下降趋势,主要原因在于PM_(2.5)作为首要的空气污染物,污染水平一直没有得到有效控制。此外,O_(3)污染程度风险增加。因此,PM_(2.5)和O_(3)是以后污染物控制的重点。It is important to get scientific and objective evaluation of the air quality for administrative departments to effectively manage urban environment and protect ecology. In this research, taking Tongren City as the research object, we analyzed the dynamic characteristics of air pollutants from 2015 to 2020 by statistical analysis, and comprehensively evaluated the air quality using attribute recognition model. The results showed that: 1) The main air pollutants in Tongren City were PM_(2.5), PM_(10)and O_(3), with the pollution degree of PM_(2.5)>PM_(10)≈O_(3). The concentration level of PM_(2.5)and PM_(10)was at levelⅡ, and PM_(2.5)was at the sub-standard level in winter. The concentration of O_(3)had increased significantly since 2016, and there was a risk of pollution. 2) In recent years, the comprehensive air quality of Tongren was at levelⅠ, but there was a downward trend because PM_(2.5), as the primary air pollutant, had not been effectively controlled, and the risk of O_(3)pollution level also increased. Therefore, PM_(2.5)and O_(3)should be the focus of pollutant control in the future.

关 键 词：空气污染物 空气质量评价 属性识别模型 铜仁市 

分 类 号：X823[环境科学与工程—环境工程]