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Assessment of the Dynamic Exposure to PM2.5 Based on Hourly Cell Phone Location and Land Use Regression Model in Beijing

文献类型：期刊论文

作者Liu, Junli3; Cai, Panli3; Dong, Jin3; Wang, Junshun3; Li, Runkui2,3,5; Song, Xianfeng1,2,3,4
刊名INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
出版日期2021-06-01
卷号18期号:11页码:14
关键词cell phone activity pattern exposure assessment fine particulate matter land use regression model
DOI10.3390/ijerph18115884
通讯作者Li, Runkui(lirk@ucas.ac.cn)
英文摘要The spatiotemporal locations of large populations are difficult to clearly characterize using traditional exposure assessment, mainly due to their complicated daily intraurban activities. This study aimed to extract hourly locations for the total population of Beijing based on cell phone data and assess their dynamic exposure to ambient PM2.5. The locations of residents were located by the cellular base stations that were keeping in contact with their cell phones. The diurnal activity pattern of the total population was investigated through the dynamic spatial distribution of all of the cell phones. The outdoor PM2.5 concentration was predicted in detail using a land use regression (LUR) model. The hourly PM2.5 map was overlapped with the hourly distribution of people for dynamic PM(2.5 )exposure estimation. For the mobile-derived total population, the mean level of PM2.5 exposure was 89.5 mu g/m(3) during the period from 2013 to 2015, which was higher than that reported for the census population (87.9 mu g/m(3)). The hourly activity pattern showed that more than 10% of the total population commuted into the center of Beijing (e.g., the 5th ring road) during the daytime. On average, the PM2.5 concentration at workplaces was generally higher than in residential areas. The dynamic PM2.5 exposure pattern also varied with seasons. This study exhibited the strengths of mobile location in deriving the daily spatiotemporal activity patterns of the population in a megacity. This technology would refine future exposure assessment, including either small group cohort studies or city-level large population assessments.
WOS关键词AIR-POLLUTION EXPOSURE ; PUBLIC-HEALTH BENEFITS ; ULTRAFINE PARTICLES ; PERSONAL EXPOSURE ; SPATIAL VARIATION ; POLLUTANTS ; MORTALITY ; ACCURACY ; PATTERNS ; STRATEGY
资助项目National Key Research and Development Program of China[2020YFC1807103] ; National Key Research and Development Program of China[2017YFB0503605] ; National Natural Science Foundation of China[41771435] ; Key Deployment Project of the Center for Ocean Mega-Research of Science ; Chinese academy of sciences[COMS2019Q15] ; Fundamental Research Funds for the Central Universities
WOS研究方向Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
语种英语
WOS记录号WOS:000659947100001
出版者MDPI
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Key Deployment Project of the Center for Ocean Mega-Research of Science ; Chinese academy of sciences ; Fundamental Research Funds for the Central Universities
源URL[http://ir.igsnrr.ac.cn/handle/311030/164009]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Runkui
作者单位1.Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
4.Univ Chinese Acad Sci, Sino Danish Educ & Res Ctr, Beijing 100190, Peoples R China
5.Chinese Acad Sci, Ctr Ocean Megares Sci, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Junli,Cai, Panli,Dong, Jin,et al. Assessment of the Dynamic Exposure to PM2.5 Based on Hourly Cell Phone Location and Land Use Regression Model in Beijing[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2021,18(11):14.
APA Liu, Junli,Cai, Panli,Dong, Jin,Wang, Junshun,Li, Runkui,&Song, Xianfeng.(2021).Assessment of the Dynamic Exposure to PM2.5 Based on Hourly Cell Phone Location and Land Use Regression Model in Beijing.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,18(11),14.
MLA Liu, Junli,et al."Assessment of the Dynamic Exposure to PM2.5 Based on Hourly Cell Phone Location and Land Use Regression Model in Beijing".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 18.11(2021):14.

入库方式： OAI收割

来源：地理科学与资源研究所

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