Journal of Atmospheric and Environmental Optics, Volume. 14, Issue 6, 431(2019)
Simulation of Spatial Concentration Distribution of Urban Road PM10 Based on SVR-LUR Model
[1] [1] Wei Jing, Sun Lin, Liu Shuangshuang, et al. Response of particulate matter pollution to land cover change[J]. Acta Ecologica Sinica, 2015, 35(16): 5495-5506(in Chinese).
[2] [2] Zhou Kan. Spatial and temporal differences and concentration characteristics of environmental pollution in China[J]. Geographic Science, 2016, 36(07): 989-997(in Chinese).
[3] [3] LiMingsheng, Zhang Jianhui, Zhang Yinjun, et al. Evolution of temporal and spatial patterns of PM10 pollution in China in recent 10 years[J]. Acta Geographica, 2013, 68(11): 1504-1512(in Chinese).
[4] [4] Han Ruiying, Chen Jian, Wang Bin. Using LUR model to simulate the spatial distribution of PM2.5 concentration in Hangzhou[J]. Journal of Environmental Sciences, 2016, 36(09): 3379-3385(in Chinese).
[5] [5] Wang Guochen, Wang Jue, XinYujie, et al. Study on PM10 and NO2 transport routes and potential sources in Tianjin[J]. China Environmental Science, 2014, 34(12): 3009-3016(in Chinese).
[6] [6] DuanJiexiong, Zhai Weixin, Cheng Chengqi, et al.Analysis of Socio-economic Influencing Factors on Spatial Distribution of PM2.5 Pollution in China[J]. Environmental Science, 2018, 39(5): 2498-2504(in Chinese).
[7] [7] ZhangShengling, Wang Yuhan, Li Yue, et al. Spatial distribution characteristics and influencing factors of fog and haze in China[J]. Population, resources and environment in China, 2017, 27(9): 15-22(in Chinese).
[8] [8] Fu Liwei, Guo Xiurui. Advances in assessment methods of air pollution exposure level in China[J]. Environmental Science and Technology, 2015, 38(S2): 226-230(in Chinese).
[9] [9] Ross Z,Jerrett M, Ito K, et al.A land use regression for predicting fine particulate matter concentrations in the New York City region[J]. Atmos Environ, 2007, 41(11): 2255-2269.
[10] [10] Ha H, Olson R,Bian L, et al. Analysis of heavy metal sources in soil using kriging interpolation on principal components[J]. Environmental Science & Technology, 2014, 48(9): 4999-5007.
[11] [11] Henderson S B, Beckerman B,Jerrett M, et al. Applicationof land use regression to estimate long-term concentrations of traffic-related nitrogen oxides and fine particulate matter[J]. Environmental Science and Technology, 2007, 41(7): 2422-2428.
[12] [12] Briggs D, Collins S, Elliot P, et al. Mapping urban air pollution using GIS: a regression based approach[J]. Geogr. Inf. Sci, 1997, 11: 699-718.
[13] [13] Tan H B, Liu L, Fan S J,et al. Aerosol optical properties and mixing state of black carbon in the Pearl River Delta, China[J]. Atmospheric Environment. 2016, 131: 196-208.
[14] [14] Chen L, Du S Y, Bai Z P,et al. Application of land use regression for estimating concentrations of major outdoor air pollutants in Jinan, China[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2010, 11: 857-867.
[15] [15] Wu Jiansheng, Xie Wudan, Li Jiacheng. Application of land use regression model in the study of temporal and spatial differentiation of atmospheric pollution[J]. Environmental Science, 2016, 37(02): 413-419(in Chinese).
[16] [16] Liu J K, Zhu L J, Wang H H, et al. Dry deposition of particulate matter at an urban forest, wetland and ake surface in Beijing[J]. Atmospheric Environment, 2016(125): 78-187.
[17] [17] Health Effects Institute. Traffic-Related Air Pollution: A Critical Review of the Literature on Emissions, exposure, and Health Effects[R]. Special Report 17, 2010.
[18] [18] Hoek, G.Beelen, R., Hoogh K.A review of land-use regression models to assess spatial variation of outdoor air pollution[J]. Atmospheric Environment. 2008, 42: 7561-7578.
[19] [19] Vapnik V N. The Nature of Statistical Learning Theory[M]. Springer, 1995. 8 (6): 988-999.
[20] [20] Zhang Zaixu, Song Jiekun, Zhang Yu. A new financial crisis early warning model based on support vector machine[J]. Journal of China Petroleum University (Natural Science Edition), 2006 (04): 132-136(in Chinese).
[21] [21] Lanhao, Zhang Guozhong, Liu Gang, et al. Prediction of startup yield stress of gelled crude oil by support vector regression[J]. Journal of China Petroleum University (Natural Science Edition), 2008 (03): 119-121, 127(in Chinese).
[22] [22] Wang Xia, Wang Zhanqi, JinGui, et al. Prediction of cultivated land area based on kernel function support vector regression[J]. Journal of Agricultural Engineering, 2014, 30(04): 204-211(in Chinese).
[23] [23] Yang Haiou, Chen Wenbo, Liang Zhaofeng. The relationship between PM2.5 concentration and land use types simulated by LUR model in Nanchang[J]. Journal of Agricultural Engineering, 2017, 33(06): 232-239(in Chinese).
Get Citation
Copy Citation Text
CHEN Wenjun, HE Hongdi. Simulation of Spatial Concentration Distribution of Urban Road PM10 Based on SVR-LUR Model[J]. Journal of Atmospheric and Environmental Optics, 2019, 14(6): 431
Category:
Received: Sep. 28, 2018
Accepted: --
Published Online: Dec. 5, 2019
The Author Email: Wenjun CHEN (chenwenjun2333@163.com)