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| Can tree-ring chemistry be used to monitor atmospheric nanoparticle contamination over time? 期刊论文
ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 268
作者: Ballikaya P.; Marshall J.; Cherubini P.
  收藏 | 浏览/下载：37/0 | 提交时间：2022/01/18
Air quality Dendrochronology Nanoparticle Particulate matter Tree-ring chemistry |
| Assessment of biomass-burning types and transport over Thailand and the associated health risks 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 247
作者: Punsompong P.; Pani S.K.; Wang S.-H.; Bich Pham T.T.
收藏 | 浏览/下载：21/0 | 提交时间：2022/01/18
Biomass burning Concentration–weighted trajectory Land cover PM2.5 mortality Source-receptor relationships |
| Improvements in air quality in the Netherlands during the corona lockdown based on observations and model simulations 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 247
作者: Velders G.J.M.; Willers S.M.; Wesseling J.; den Elshout S.V.; van der Swaluw E.; Mooibroek D.; van Ratingen S.
收藏 | 浏览/下载：18/0 | 提交时间：2022/01/18
Covid-19 Nitrogen dioxide Ozone Particulate matter Random forest |
| 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 |
| 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：26/0 | 提交时间：2022/01/18
Ensemble methods Environmental exposure London case study PM2.5 prediction Random forest |
| Ensemble averaging based assessment of spatiotemporal variations in ambient PM2.5 concentrations over Delhi, India, during 2010–2016 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 224
作者: Mandal S.; Madhipatla K.K.; Guttikunda S.; Kloog I.; Prabhakaran D.; Schwartz J.D.; GeoHealth Hub India Team
收藏 | 浏览/下载：37/0 | 提交时间：2022/01/18
Hybrid models Machine learning Particulate matter Pollution exposure Satellite observations |
| Observation of PM2.5 using a combination of satellite remote sensing and low-cost sensor network in Siberian urban areas with limited reference monitoring 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 227
作者: Lin C.; Labzovskii L.D.; Mak H.W.L.; Fung J.C.H.; Lau A.K.H.; Kenea S.T.; Bilal M.; Vande Hey J.D.; Lu X.; Ma J.
收藏 | 浏览/下载：25/0 | 提交时间：2022/01/18
Air quality Low-cost sensor PM2.5 Satellite Siberia |
| Excitation emission matrix fluorescence spectroscopy for combustion generated particulate matter source identification 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 220
作者: Rutherford J.W.; Dawson-Elli N.; Manicone A.M.; Korshin G.V.; Novosselov I.V.; Seto E.; Posner J.D.
收藏 | 浏览/下载：115/0 | 提交时间：2022/01/18
Diesel Fluorescence Neural network Particulate matter Source apportionment Woodsmoke |
