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Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China

文献类型：期刊论文

作者Gong, Jiping1,2; Hu, Yuanman1; Liu, Miao1; Bu, Rencang1; Chang, Yu1; Bilal, Muhammad3; Li, Chunlin1; Wu, Wen1,2; Ren, Baihui1,2
刊名POLISH JOURNAL OF ENVIRONMENTAL STUDIES
出版日期2016
卷号25期号:3页码:1015-1026
关键词Air Pollution Canyon Indicators Aerosol Optical Depth (Aod) Land Use Regression (Lur)
ISSN号1230-1485
DOI10.15244/pjoes/61261
英文摘要Land use regression (LUR) modeling is a promising method for assessing the spatial variation of air pollutant concentrations. We developed an LUR model for air pollutants (SO2, NO2, and PM 10) in the central cities of Liaoning Province using monitoring data collected during 2013. We evaluated whether the addition of annual satellite aerosol optical depth (AOD) observations and five canyon indicators (building height, building coverage ratio, floor area ratio, building shape coefficient, and high-rise building ratio) improved the LUR models. Out-of-sample "10-fold" cross validation was used to quantify the accuracy of the model predictions. Our results showed that the gross domestic product (GDP) and the distance to the nearest industrial emissions were the common variables for the models. Annual AOD demonstrated weak correlations with air pollutant concentrations because of its instantaneity, low resolution, and limited precision; however, it was useful for improving the coefficient of determination (R-2) of the LUR models. The full models incorporating the annual AOD data and canyon indicators showed further improvement. The improvements of R-2 were 0.22, 0.19, and 0.39 for SO2, NO2, and PM 10, respectively, demonstrating that the consideration of canyon indicators could still be valuable and could be used in LUR models.
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000377240700011
出版者HARD
源URL[http://210.72.129.5/handle/321005/122706]  
专题中国科学院沈阳应用生态研究所
通讯作者Gong, Jiping
作者单位1.Chinese Acad Sci, Inst Appl Ecol, State Key Lab Forest & Soil Ecol, Shenyang 110164, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Kowloon, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714		 Gong, Jiping,Hu, Yuanman,Liu, Miao,et al. Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China[J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES,2016,25(3):1015-1026.
APA Gong, Jiping.,Hu, Yuanman.,Liu, Miao.,Bu, Rencang.,Chang, Yu.,...&Ren, Baihui.(2016).Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China.POLISH JOURNAL OF ENVIRONMENTAL STUDIES,25(3),1015-1026.
MLA Gong, Jiping,et al."Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China".POLISH JOURNAL OF ENVIRONMENTAL STUDIES 25.3(2016):1015-1026.

入库方式： OAI收割

来源：沈阳应用生态研究所

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