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作 者:夏晓丽 孙尚鹏 Xia Xiaoli;Sun Shangpeng(College of Tourism and Resources Environment,Zaozhuang University,Zaozhuang Shandong 277160,China;Assets and Laboratory Management Office,Zaozhuang University,Zaozhuang Shandong 277160,China)
机构地区:[1]枣庄学院旅游与资源环境学院,山东枣庄277160 [2]枣庄学院资产与实验管理处,山东枣庄277160
出 处:《环境与发展》2025年第1期71-76,99,共7页Environment & Development
摘 要:本文以传统的资源型和老工业城市--枣庄市为例,选取2020年9月-2021年2月葵花8号卫星AOD数据,分别与SO_(2)、NO_(2)、CO、O_(3)、PM_(10)、PM_(2.5)进行相关分析,结果均满足99%的置信度要求,但相关系数较低。AOD经过垂直湿度修订后与NO_(2)、CO、PM_(10)、PM_(2.5)相关性得到显著提升,其相关系数R分别为0.62、0.79、0.74、0.91,且满足99%的置信度。在引入温度、相对湿度、风速、气压、能见度等气象因素后,将校正后的AOD与实测的NO_(2)、CO、PM_(10)、PM_(2.5)浓度值分别构建多元回归方程,与相应最优拟合方程的趋势线拟合度相比均有显著提升,其相关系数分别提升26.00%,5.70%,5.91%,0.55%。结果表明,由卫星反演的AOD经过垂直湿度修订后,在引入气象因素的条件下,可以作为大气污染物浓度监测的一种手段。In this study,Zaozhuang City,a traditional resource-based and old industrial city,is selected as the research area.The AOD data from Himawari-8 were correlated with SO_(2),NO_(2),CO,O_(3),PM_(10)and PM_(2.5)from September 2020 to February 2021.All the results meet the requirement of 99%confidence,but the correlation coefficient is low.After vertical humidity revision,the correlation between AOD and NO_(2),CO,PM_(10)and PM_(2.5)was significantly improved,and the correlation coefficients R were 0.62,0.79,0.74 and 0.91,respectively,and the results met the 99%confidence level.After introducing meteorological factors such as temperature,relative humidity,wind speed,air pressure and visibility,multiple regression equations were constructed for AOD and NO_(2),CO,PM_(10)and PM_(2.5)respectively,and their correlation coefficients were increased by 26.00%,5.70%,5.91%and 0.55%respectively.The results show that AOD can be used as a mean to monitor the concentration of air pollutants under the condition of introducing meteorological factors after revision of vertical humidity.
关 键 词:葵花8号卫星 气溶胶光学厚度 垂直-湿度订正 气象因素
分 类 号:X51[环境科学与工程—环境工程]
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