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北疆地区MODIS 3km气溶胶光学厚度与PM10质量浓度的相关性分析
引用本文:李慧娟,胡列群,李帅.北疆地区MODIS 3km气溶胶光学厚度与PM10质量浓度的相关性分析[J].环境科学学报,2018,38(3):1109-1116.
作者姓名:李慧娟  胡列群  李帅
作者单位:新疆师范大学地理科学与旅游学院, 乌鲁木齐 830054,新疆维吾尔自治区气象服务中心, 乌鲁木齐 830011,中国气象局乌鲁木齐沙漠气象研究所, 乌鲁木齐 830002
基金项目:新疆维吾尔自治区科技援疆项目(No.2016E02104);国家自然科学基金(No.41505077);中国沙漠气象科学研究基金(No.Sqj2016009)
摘    要:利用2016年MODIS 3 km分辨率的气溶胶光学厚度(AOD)日产品、PM_(10)质量浓度以及相关气象数据,开展了北疆地区AOD与PM_(10)质量浓度的相关性分析.结果表明,AOD与PM_(10)质量浓度的直接相关程度较低,相关系数仅为0.294.对比分析了利用能见度数据对AOD进行垂直订正,然后再用相对湿度数据对其进行二次订正(AOD垂直-湿度订正)和利用能见度数据对AOD进行垂直订正和相对湿度数据对PM_(10)质量浓度进行订正(AOD垂直订正-PM_(10)湿度订正)两种订正方法,结果指出"AOD垂直订正-PM_(10)湿度订正"可显著提高二者之间的相关性.订正之后,北疆地区AOD与PM_(10)质量浓度的相关系数达到0.755,呈显著正相关;阿勒泰的订正效果最好,相关系数为0.837.最后,基于垂直订正后的AOD和湿度订正后PM_(10)建立两者之间的最优拟合模型,并利用新建的模型反演了北疆地区PM_(10)质量浓度.反演得到的PM_(10)质量浓度与经过湿度订正后PM_(10)呈显著正相关,相关系数为0.688;昌吉和伊宁的反演效果最好,相关系数分别为0.910和0.829.本研究结果表明MODIS 3 km AOD产品经过垂直和湿度订正后,可作为北疆地区监测PM_(10)质量浓度的一个有效手段.

关 键 词:MODIS  气溶胶光学厚度(AOD)  PM10  相关性
收稿时间:2017/8/10 0:00:00
修稿时间:2017/10/20 0:00:00

A correlation analysis of MODIS 3 km aerosol optical depth and PM10 concentration in Northern Xinjiang
LI Huijuan,HU Liequn and LI Shuai.A correlation analysis of MODIS 3 km aerosol optical depth and PM10 concentration in Northern Xinjiang[J].Acta Scientiae Circumstantiae,2018,38(3):1109-1116.
Authors:LI Huijuan  HU Liequn and LI Shuai
Institution:College of Geography Science and Toursim, Xinjiang Normal University, Urumqi 830054,Meteorological Service Center of Xinjiang, Urumqi 830011 and Insitute of Desert Meteorology, China Meteorological Administration, Urumqi 830002
Abstract:A correlation analysis of MODIS 3 km Aerosol Optical Depth (AOD) and PM10 concentration has been performed over Northern Xinjiang Uygur Autonomous Region with the MODIS products, PM10 concentration datasets, and related meteorological data in 2016. The results indicate that there is a low direct correlation between AOD and PM10 concentration with the correlation coefficient of 0.294. Therefore, two methods are utilized to correct the AOD and PM10 concentration, and a comparison between them has been accomplished. One is AOD vertical correction with visibility at first, and then a further correction is made with humidity (named as "AOD vertical-humidity correction"). The other is AOD vertical correction with visibility and PM10 concentration correction with humidity ("AOD vertical-PM10 humidity correction"). It is revealed that the correlation between AOD and PM10 concentration has been greatly improved with the correlation coefficient of 0.755, after AOD vertical correction with visibility data and PM10 concentration correction with humidity over Northern Xinjiang. Among all the stations, the largest correction coefficient of 0.837 appears at Aletai station. Finally, an optimal fitting model has been established by using the vertical corrected AOD and humidity corrected PM10 concentration. Based on the model, PM10 concentration is retrieved in Northern Xinjiang with the MODIS 3 km Aerosol Optical Depth (AOD) as inputs. The retrieved PM10 concentration has a positive correlation with the humidity corrected PM10 concentration with the correlation coefficient up to 0.688.The two largest correlation coefficient are 0.910 and 0.829 occurs at Changji and Yining stations, respectively. This study proposes that MODIS 3 km AOD products with vertical and humidity corrections are effective to monitor PM10 concentration in Northern Xinjiang.
Keywords:MODIS  aerosol optical depth (AOD)  PM10 concentration  correlation
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