Estimating spatiotemporal distribution of PM1 concentrations in China with satellite remote sensing, meteorology, and land use information
文献类型：期刊论文
| 作者 | Chen, Gongbo1; Knibbs, Luke D.2; Zhang, Wenyi3; Li, Shanshan1; Cao, Wei4 ; Guo, Jianping5; Ren, Hongyan4; Wang, Boguang6; Wang, Hao7; Williams, Gail2
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| 刊名 | ENVIRONMENTAL POLLUTION
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| 出版日期 | 2018-02-01 |
| 卷号 | 233页码:1086-1094 |
| 关键词 | PM1 Aerosol optical depth Meteorology Land use China |
| ISSN号 | 0269-7491 |
| DOI | 10.1016/j.envpol.2017.10.011 |
| 通讯作者 | Guo, Yuming(yuming.guo@monash.edu) |
| 英文摘要 | Background: PM1 might be more hazardous than PM2.5 (particulate matter with an aerodynamic diameter <= 1 mu m and <= 2.5 mu m, respectively). However, studies on PM1 concentrations and its health effects are limited due to a lack of PM1 monitoring data. Objectives: To estimate spatial and temporal variations of PM1 concentrations in China during 2005-2014 using satellite remote sensing, meteorology, and land use information. Methods: Two types of Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 aerosol optical depth (AOD) data, Dark Target (DT) and Deep Blue (DB), were combined. Generalised additive model (GAM) was developed to link ground-monitored PM1 data with AOD data and other spatial and temporal predictors (e.g., urban cover, forest cover and calendar month). A 10-fold cross-validation was performed to assess the predictive ability. Results: The results of 10-fold cross-validation showed R-2 and Root Mean Squared Error (RMSE) for monthly prediction were 71% and 13.0 mu g/m(3), respectively. For seasonal prediction, the R-2 and RMSE were 77% and 11.4.Lg/m(3), respectively. The predicted annual mean concentration of PM1 across "China was 26.9 mu g/m(3). The PM1 level was highest in winter while lowest in summer. Generally, the PM1 levels in entire China did not substantially change during the past decade. Regarding local heavy polluted regions, PM1 levels increased substantially in the South-Western Hebei and Beijing-Tianjin region. Conclusions: GAM with satellite-retrieved AOD, meteorology, and land use information has high predictive ability to estimate ground-evel PM1. Ambient PM1 reached high levels in China during the past decade. The estimated results can be applied to evaluate the health effects of PM1. (C) 2017 Elsevier Ltd. All rights reserved. |
| WOS关键词 | AEROSOL OPTICAL DEPTH ; PARTICULATE AIR-POLLUTION ; USE REGRESSION-MODEL ; GROUND-LEVEL PM2.5 ; TEMPORAL VARIATIONS ; SEASONAL-VARIATIONS ; HEALTH IMPACT ; MODIS ; CITY ; AOD |
| 资助项目 | Career Development Fellowship of Australian National Health and Medical Research Council (NHMRC)[APP1107107] ; NHMRC Early Career Fellowship[APP1109193] ; NHMRC Centre of Research Excellence (CRE)-Centre for Air quality and health Research and evaluation[APP1030259] ; China Scholarship Council (CSC) |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000424177000115 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | Career Development Fellowship of Australian National Health and Medical Research Council (NHMRC) ; NHMRC Early Career Fellowship ; NHMRC Centre of Research Excellence (CRE)-Centre for Air quality and health Research and evaluation ; China Scholarship Council (CSC) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/57114]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Guo, Yuming |
| 作者单位 | 1.Monash Univ, Sch Publ Hlth & Prevent Med, Dept Epidemiol & Prevent Med, Level 2,553 St Kilda Rd, Melbourne, Vic 3004, Australia 2.Univ Queensland, Sch Publ Hlth, Brisbane, Qld, Australia 3.Acad Mil Med Sci, Inst Dis Control & Prevent, Ctr Dis Surveillance & Res, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 5.Chinese Acad Meteorol Sci, Sate Key Lab Severe Weather, Beijing, Peoples R China 6.Jinan Univ, Inst Environm & Climate Res, Guangzhou, Guangdong, Peoples R China 7.Hong Kong Polytech Univ, Air Qual Studies, Dept Civil & Environm Engn, Hong Kong, Hong Kong, Peoples R China 8.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands |
| 推荐引用方式 GB/T 7714 | Chen, Gongbo,Knibbs, Luke D.,Zhang, Wenyi,et al. Estimating spatiotemporal distribution of PM1 concentrations in China with satellite remote sensing, meteorology, and land use information[J]. ENVIRONMENTAL POLLUTION,2018,233:1086-1094. |
| APA | Chen, Gongbo.,Knibbs, Luke D..,Zhang, Wenyi.,Li, Shanshan.,Cao, Wei.,...&Guo, Yuming.(2018).Estimating spatiotemporal distribution of PM1 concentrations in China with satellite remote sensing, meteorology, and land use information.ENVIRONMENTAL POLLUTION,233,1086-1094. |
| MLA | Chen, Gongbo,et al."Estimating spatiotemporal distribution of PM1 concentrations in China with satellite remote sensing, meteorology, and land use information".ENVIRONMENTAL POLLUTION 233(2018):1086-1094. |
入库方式： OAI收割
来源：地理科学与资源研究所
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