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Estimates of Daily PM2.5 Exposure in Beijing Using Spatio-Temporal Kriging Model

文献类型：期刊论文

作者Lin, Jinhuang1,2; Zhang, An1; Chen, Wenhui2; Lin, Mingshui3
刊名SUSTAINABILITY
出版日期2018-08-01
卷号10期号:8页码:14
关键词spatio-temporal kriging PM2.5 exposure BM model cumulative duration Beijing
ISSN号2071-1050
DOI10.3390/su10082772
通讯作者Zhang, An(zhangan@igsnrr.ac.cn) ; Lin, Mingshui(waterming2003@163.com)
英文摘要Excessive exposure to ambient (outdoor) air pollution may greatly increase the incidences of respiratory and cardiovascular diseases. Accurate reports of the spatial-temporal distribution characteristics of daily PM2.5 exposure can effectively prevent and reduce the harm caused to humans. Based on the daily average concentration data of PM2.5 in Beijing in May 2014 and the spatio-temporal kriging (STK) theory, we selected the optimal STK fitting model and compared the spatial-temporal prediction accuracy of PM2.5 using the STK method and ordinary kriging (OK) method. We also reveal the spatial-temporal distribution characteristics of the daily PM2.5 exposure in Beijing. The results show the following: (1) The fitting error of the Bilonick model (BM) model which is the smallest (0.00648), and the fitting effect of the prediction model of STK is the best for daily PM2.5 exposure. (2) The cross-examination results show that the STK model (RMSE = 8.90) has significantly lower fitting errors than the OK model (RMSE = 10.70), so its simulation prediction accuracy is higher. (3) According to the interpolation of the STK model, the daily exposure of PM2.5 in Beijing in May 2014 has good continuity in both time and space. The overall air quality is good, and overall the spatial distribution is low in the north and high in the south, with the highest concentration in the southwestern region. (4) There is a certain degree of spatial heterogeneity in the cumulative duration at the good, moderate, and polluted grades of China National Standard. The areas with the longest cumulative duration at the good, moderate and polluted grades are in the north, southeast, and southwest of the study area, respectively.
WOS关键词AIR-POLLUTION ; SPATIAL-DISTRIBUTION ; CHINA ; HEALTH
资助项目National Key Research and Development Program of China[2017YFB0503500] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040402] ; National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41471414] ; National Natural Science Foundation of China[41201412] ; Featured Institute Construction Services Program[TSYJS03] ; Basic Science-technological Special Working[2015FY210600]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000446767700188
出版者MDPI
资助机构National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Featured Institute Construction Services Program ; Basic Science-technological Special Working
源URL[http://ir.igsnrr.ac.cn/handle/311030/52650]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, An; Lin, Mingshui
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Fujian Normal Univ, Coll Geog Sci, Fuzhou 350007, Fujian, Peoples R China
3.Fujian Normal Univ, Coll Tourism, Fuzhou 350117, Fujian, Peoples R China
推荐引用方式
GB/T 7714		 Lin, Jinhuang,Zhang, An,Chen, Wenhui,et al. Estimates of Daily PM2.5 Exposure in Beijing Using Spatio-Temporal Kriging Model[J]. SUSTAINABILITY,2018,10(8):14.
APA Lin, Jinhuang,Zhang, An,Chen, Wenhui,&Lin, Mingshui.(2018).Estimates of Daily PM2.5 Exposure in Beijing Using Spatio-Temporal Kriging Model.SUSTAINABILITY,10(8),14.
MLA Lin, Jinhuang,et al."Estimates of Daily PM2.5 Exposure in Beijing Using Spatio-Temporal Kriging Model".SUSTAINABILITY 10.8(2018):14.

入库方式： OAI收割

来源：地理科学与资源研究所

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