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Quarterly PM2.5 prediction using a novel seasonal grey model and its further application in health effects and economic loss assessment: evidences from Shanghai and Tianjin, China 期刊论文
Natural Hazards, 2021, 卷号: 107, 期号: 1
作者:  Wang J.;  Du P.
收藏  |  浏览/下载:19/0  |  提交时间:2021/09/01
Economic loss assessment  Health effects  Quarterly PM2.5 prediction  Seasonal grey models  
Predictability of PM2.5 in Seoul based on atmospheric blocking forecasts using the NCEP global forecast system 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 246
作者:  Shin U.;  Park S.-H.;  Park J.-S.;  Koo J.-H.;  Yoo C.;  Kim S.;  Lee J.-B.
收藏  |  浏览/下载:83/0  |  提交时间:2022/01/18
Air quality prediction  Atmospheric blocking  GFS,Predictability of PM2.5  PM2.5 concentration in seoul  
Prediction of PM2.5 daily concentrations for grid points throughout a vast area using remote sensing data and an improved dynamic spatial panel model 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 237
作者:  Fu M.;  Kelly J.A.;  Clinch J.P.
收藏  |  浏览/下载:34/0  |  提交时间:2022/01/18
Dynamic spatial panel model  Out-of-sample prediction  PM2.5 concentration  Remote sensing  Temporal-spatial correlation  
Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 230
作者:  Zheng T.;  Bergin M.H.;  Hu S.;  Miller J.;  Carlson D.E.
收藏  |  浏览/下载:29/0  |  提交时间:2022/01/18
CNN  Computer vision  Convolutional neural network  Fine particulate matter (PM2.5) prediction  Random forest  RF  Satellite imagery  
Prediction of PM2.5 concentrations at the locations of monitoring sites measuring PM10 and NOx, using generalized additive models and machine learning methods: A case study in London 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 240
作者:  Analitis A.;  Barratt B.;  Green D.;  Beddows A.;  Samoli E.;  Schwartz J.;  Katsouyanni K.
收藏  |  浏览/下载:31/0  |  提交时间:2022/01/18
Ensemble methods  Environmental exposure  London case study  PM2.5 prediction  Random forest  
The forecasting research of early warning systems for atmospheric pollutants: A case in Yangtze River Delta region 期刊论文
ATMOSPHERIC ENVIRONMENT, 2015, 卷号: 118
作者:  Song, Yiliao;  Qin, Shanshan;  Qu, Jiansheng;  Liu, Feng
收藏  |  浏览/下载:72/0  |  提交时间:2020/07/28
PM2.5 CONCENTRATIONS  MODEL  CHINA  PREDICTION  QUALITY  SITE