已选(0)清除
条数/页: 排序方式: |
| Three-dimensional variational assimilation of Lidar extinction profiles: Application to PM2.5 prediction in north China 期刊论文 ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 269 作者: Gao L.; Liu Z.; Sun W.; Yan P.; Chen Y.; Bu Z.; Hu H.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:40/0  |  提交时间:2022/01/18 |
| Impacts of uncertainties in emissions on aerosol data assimilation and short-term PM2.5 predictions over Northeast Asia 期刊论文 ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 271 作者: Lee S.; Song C.H.; Han K.M.; Henze D.K.; Lee K.; Yu J.; Woo J.-H.; Jung J.; Choi Y.; Saide P.E.; Carmichael G.R.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:23/0  |  提交时间:2022/01/18 3DVAR Background error CMAQ Covariance Emission uncertainty PM2.5 predictions |
| Improvement of PM2.5 forecast over China by the joint adjustment of initial conditions and emissions with the NLS-4DVar method 期刊论文 ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 271 作者: Zhang S.; Tian X.; Han X.; Zhang M.; Zhang H.; Mao H.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:46/0  |  提交时间:2022/01/18 Air quality forecast Data assimilation NLS-4DVar method WRF-CMAQ model |
| PM2.5 pH estimation in Seoul during the KORUS-AQ campaign using different thermodynamic models 期刊论文 ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 268 作者: Kim Y.; Park O.; Park S.H.; Kim M.; Kim J.-J.; Choi J.-Y.; Lee D.; Cho S.; Shim S.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:42/0  |  提交时间:2022/01/18 Gas-particle partitioning of semivolatile inorganic species KORUS-AQ pH estimation PM2.5 Thermodynamic equilibrium models |
| 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:133/0  |  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 |