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

doi:10.15244/pjoes/61261

	Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China
	Gong, Jiping 1,2; Hu, Yuanman 1; Liu, Miao 1; Bu, Rencang 1; Chang, Yu 1; Bilal, Muhammad 3; Li, Chunlin 1; Wu, Wen 1,2; Ren, Baihui 1,2
刊名	POLISH JOURNAL OF ENVIRONMENTAL STUDIES
	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
DOI	10.15244/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
出版者	HARD
WOS记录号	WOS:000377240700011
内容类型	期刊论文
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.