宜荆荆地区2020—2022年大气污染物时空变化特征分析  

Characterization of spatial and temporal variations in atmospheric pollutants in the Yijingjing area from 2020 to 2022

作　　者：郑常准 赵锦慧[1] 曾荣俊 唐豪 林铭淋 方艺霖 ZHENG Changzhun;ZHAO Jinhui;ZENG Rongjun;TANG Hao;LIN Minglin;FANG Yilin(Faculty of Resources and Environmental Science,Hubei University,Wuhan 430062,China)

机构地区：[1]湖北大学资源环境学院,湖北武汉430062

出　　处：《湖北大学学报（自然科学版）》2024年第6期820-830,共11页Journal of Hubei University：Natural Science

摘　　要：综合运用相关性分析和GTWR分析方法,基于大气污染物与气象因素数据分析2020—2022年湖北宜荆荆地区大气污染物时空变化特征,并探究其环境协变量的影响情况,以期为当地大气污染防治和可持续发展提供科学依据。结果表明:①从地域来看,荆门市PM_(2.5)与O_(3)浓度及AQI最高,荆州市CO、NO_(2)、PM_(10)、SO_(2)浓度最高,宜昌市大气污染相对较轻,污染物空间分异显著。②时间上来看,2020—2022年宜荆荆地区空气质量显著下降,CO和NO_(2)平均浓度呈现降低趋势,而其他4种大气污染物浓度均有所上升。③相关性分析表明,PM_(2.5)与PM_(10)、海平面气压、NO_(2)和CO正相关,与气温和O_(3)负相关,而O_(3)与气温和露点温度正相关。④GTWR模型运行结果显示,PM_(10)与PM_(2.5)回归系数均值为0.293,O_(3)与PM_(2.5)回归系数均值为-0.267,SO_(2)、NO_(2)、CO和PM_(2.5)的回归系数变化较稳定,空间关系平稳。Using data on air pollutants and meteorological factors in the Yijingjing area from 2020 to 2022,we conducted correlation and GTWR analyses to examine the spatial and temporal changes of air pollutants during this period and explore the influence of environmental covariates.The present study can provide a scientific basis for local air pollution prevention and sustainable development,and drive a comprehensive shift toward an environmentally-friendly economy and society.The results showed that:①Geographically,Jingmen City exhibits the highest concentrations of AQI,PM_(2.5),and O_(3);Jingzhou City had the highest concentrations of CO,NO_(2),PM_(10),and SO_(2);while Yichang City experienced relatively milder atmospheric pollution,with a significant spatial differentiation of pollutants.②In terms of time,air quality in the Yijingjing area decreased significantly in 2020-2022.The average concentrations of CO and NO_(2)showed a decreasing trend,whereas the concentration of the other four air pollutants increased to varying degrees.③Correlation analysis showed that PM_(2.5)was positively correlated with PM_(10),sea level pressure,NO_(2),and CO;negatively correlated with O_(3),air temperature,and dew point temperature;while O_(3)was positively correlated with air temperature and dew point temperature.④The results of the GTWR model showed that the mean regression coefficients for PM_(10) and PM_(2.5)was 0.293,followed by O_(3)(-0.267).The regression coefficients of SO_(2),NO_(2),CO,and PM_(2.5)showed more stable changes and a smooth spatial relationship.

关 键 词：大气污染物 时空变化 GTWR 环境协变量 宜荆荆地区 

分 类 号：X51[环境科学与工程—环境工程]