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| Statistical field calibration of a low-cost PM2.5 monitoring network in Baltimore 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 242
作者: Datta A.; Saha A.; Zamora M.L.; Buehler C.; Hao L.; Xiong F.; Gentner D.R.; Koehler K.
  收藏 | 浏览/下载：125/0 | 提交时间：2022/01/18
Baltimore Field colocation Gain-offset model Linear regression Low-cost monitors PM2.5 |
| 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：28/0 | 提交时间：2022/01/18
Dynamic spatial panel model Out-of-sample prediction PM2.5 concentration Remote sensing Temporal-spatial correlation |
| Modeled and measured near-road PM2.5 concentrations: Indianapolis and Providence cases 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 240
作者: Craig K.J.; Baringer L.M.; Chang S.-Y.; McCarthy M.C.; Bai S.; Seagram A.F.; Ravi V.; Landsberg K.; Eisinger D.S.
收藏 | 浏览/下载：12/0 | 提交时间：2022/01/18
AERMOD Air pollution Dispersion modeling Emissions modeling Near-road Particulate matter |
| 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：23/0 | 提交时间：2022/01/18
CNN Computer vision Convolutional neural network Fine particulate matter (PM2.5) prediction Random forest RF Satellite imagery |
| Associations between modeled residential outdoor and measured personal exposure to ultrafine particles in four European study areas 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 226
作者: van Nunen E.; Vermeulen R.; Tsai M.-Y.; Probst-Hensch N.; Ineichen A.; Imboden M.; Naccarati A.; Tarallo S.; Raffaele D.; Ranzi A.; Nieuwenhuijsen M.; Jarvis D.; Amaral A.F.; Vlaanderen J.; Meliefste K.; Brunekreef B.; Vineis P.; Gulliver J.; Hoek G.
收藏 | 浏览/下载：16/0 | 提交时间：2022/01/18
Exposure assessment Land use regression model Personal exposure Ultrafine particles |
| A machine learning approach capturing the effects of driving behaviour and driver characteristics on trip-level emissions 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 224
作者: Xu J.; Saleh M.; Hatzopoulou M.
收藏 | 浏览/下载：26/0 | 提交时间：2022/01/18
Driver experience Eco-score Emission factor Gradient boosting SHAP Vehicle emissions |
| Estimating hourly PM2.5 concentrations using MODIS 3 km AOD and an improved spatiotemporal model over Beijing-Tianjin-Hebei, China 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 222
作者: Wang X.; Sun W.; Zheng K.; Ren X.; Han P.
收藏 | 浏览/下载：27/0 | 提交时间：2022/01/18
Hourly PM2.5 spatial distribution MODIS AOD PM2.5 Spatiotemporal autoregressive model |
| A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 222
作者: Berrocal V.J.; Guan Y.; Muyskens A.; Wang H.; Reich B.J.; Mulholland J.A.; Chang H.H.
收藏 | 浏览/下载：127/0 | 提交时间：2022/01/18 |
| 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：27/0 | 提交时间：2022/01/18
Ensemble methods Environmental exposure London case study PM2.5 prediction Random forest |
| Meteorological and air quality modeling for Hawaii, Puerto Rico, and Virgin Islands 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 234
作者: Baker K.R.; Nguyen T.K.V.; Sareen N.; Henderson B.H.
收藏 | 浏览/下载：16/0 | 提交时间：2022/01/18
CMAQ Hawaii O3 PM2.5 Puerto Rico Virgin Islands WRF |
