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作 者:刘彦文 周霞 王凯慧 周洁莹 LIU Yanwen;ZHOU Xia;WANG Kaihui;ZHOU Jieying(School of Resources and Environment Science and Engineering, Hubei University of Science and Technology, Xianning, Hubei 437100)
机构地区:[1]湖北科技学院资源环境科学与工程学院,湖北咸宁437100
出 处:《环境与可持续发展》2017年第6期153-156,共4页Environment and Sustainable Development
摘 要:利用MODIS遥感影像反演方法来探索鄂南地区大气气溶胶光学厚度AOD与PM2.5浓度关系模型,首先对MODIS影像在ENVI中进行发射率、反射率几何校正及合成,角度数据的处理、云检测、气溶胶反演等过程,并利用Arc GIS处理有关数据,可得到该地区的气溶胶光学厚度。其次对鄂南地区国控点监测站的PM2.5浓度进行实时监测,定量分析鄂南地区PM2.5的浓度分布。最后在得到气溶胶光学厚度及PM2.5浓度后,利用SPSS对其进行建模分析,并得到三次关系模型y=17.53+67.55x-14.25x2+0.82x3,经验证模型在已有数据下具有较高的拟合度。本文的研究结果可以为改善鄂南地区环境承载压力提供科学的有益参考。The use of MODIS imagery inversion method to explore E ' nan atmospheric aerosol optical depth and PM2.5 concentration relational model. Firstly,the MODIS image is processed in ENVI,including the reflectivity geometric correction and synthesis,processing angle data,cloud detection and aerosol inversion process,obtaining aerosol optical thickness in Arc GIS. Secondly,the PM2.5 concentration in the monitoring stations of the state control point of E'nan is monitored in real time and quantitative analysis is processed to get the concentration distribution of PM2.5 here. Finally,after obtaining the optical thickness of aerosol and the concentration of PM2.5,SPSS was used to model and analyze it,and Cubic regression model is y = 17. 53+67. 55 x-14. 25 x^2+0. 82 x^3. This model has been confirmed by available data,and the goodness of fit index is fairly good. The results of this paper can provide some scientific reference for improving the environmental carrying capacity E'nan area.
分 类 号:X513[环境科学与工程—环境工程]
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