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| Gaussian Markov random fields improve ensemble predictions of daily 1 km PM2.5 and PM10 across France 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 264 作者: Hough I.; Sarafian R.; Shtein A.; Zhou B.; Lepeule J.; Kloog I.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:134/0  |  提交时间:2022/01/18 Aerosol optical depth Ensemble model Epidemiology Exposure assessment Particulate matter |
| Establishment of PM10 and PM2.5 emission inventories from wind erosion source and simulation of its environmental impact based on WEPS-Models3 in southern Xinjiang, China 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 248 作者: Liu Y.; Teng Y.; Liang S.; Li X.; Zhao J.; Shan M.; Chen L.; Yu H.; Mao J.; Zhang H.; Gao S.; Sun Y.; Ma Z.; Bai Z.; Yang W.; Azzi M.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:30/0  |  提交时间:2022/01/18 Emission inventory Models3 Particulate matter WEPS Wind erosion |
| Machine learning based bias correction for numerical chemical transport models 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 248 作者: Xu M.; Jin J.; Wang G.; Segers A.; Deng T.; Lin H.X.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:19/0  |  提交时间:2022/01/18 Air quality Neural network PM2.5 Short term forecast |
| Land use regression modeling for fine particulate matters in Bangkok, Thailand, using time-variant predictors: Effects of seasonal factors, open biomass burning, and traffic-related factors 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 246 作者: Chalermpong S.; Thaithatkul P.; Anuchitchanchai O.; Sanghatawatana P.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:24/0  |  提交时间:2022/01/18 Air quality Bangkok Land use regression Open biomass burning PM2.5 Traffic-related factors |
| Development of a PM2.5 prediction model using a recurrent neural network algorithm for the Seoul metropolitan area, Republic of Korea 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 245 作者: Chang-Hoi H.; Park I.; Oh H.-R.; Gim H.-J.; Hur S.-K.; Kim J.; Choi D.-R.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:25/0  |  提交时间:2022/01/18 Air quality Artificial intelligence (AI) Community multiscale air quality (CMAQ) PM 2.5 Recurrent neural network (RNN) |
| Evaluation of gap-filling approaches in satellite-based daily PM2.5 prediction models 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 244 作者: Xiao Q.; Geng G.; Cheng J.; Liang F.; Li R.; Meng X.; Xue T.; Huang X.; Kan H.; Zhang Q.; He K.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:12/0  |  提交时间:2022/01/18 CMAQ Gap-filling approaches PM2.5 Random forest Satellite data |
| Decadal application of WRF/Chem over the continental U.S.: Simulation design, sensitivity simulations, and climatological model evaluation 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 253 作者: Wang K.; Zhang Y.; Yahya K.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:19/0  |  提交时间:2022/01/18 Climatological evaluation Continental U.S. Decadal simulation NEI RCP WRF/Chem |
| Modelling air quality during the EXPLORE-YRD campaign – Part I. Model performance evaluation and impacts of meteorological inputs and grid resolutions 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 246 作者: Wang X.; Li L.; Gong K.; Mao J.; Hu J.; Li J.; Liu Z.; Liao H.; Qiu W.; Yu Y.; Dong H.; Guo S.; Hu M.; Zeng L.; Zhang Y.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:26/0  |  提交时间:2022/01/18 EXPLORE-YRD Grid resolution Model performance O3 PM2.5 Reanalysis data |
| Impact of the planetary boundary layer on air quality simulations over the Yangtze River Delta region, China 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 263 作者: Shi L.; Zhu A.; Huang L.; Yaluk E.; Gu Y.; Wang Y.; Wang S.; Chan A.; Li L.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:28/0  |  提交时间:2022/01/18 Air quality simulation Planetary boundary layer WRF-CAMx Yangtze River Delta |
| A novel hybrid spatiotemporal land use regression model system at the megacity scale 期刊论文 ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 244 作者: Wang J.; Xu H.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:24/0  |  提交时间:2022/01/18 Air pollution Epidemiology Land use regression model Long-term exposure Spatiotemporal Support vector regression |