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Intensive optical parameters of pollution sources identified by the positive matrix factorization technique 期刊论文
, 2020, 卷号: 244
作者:  Romano S.;  Vecchi R.;  Perrone M.R.
收藏  |  浏览/下载:29/0  |  提交时间:2020/07/28
Bayesian networks  Factorization  Matrix algebra  Nephelometers  Optical variables control  Pollution  Reliability analysis  Sulfur compounds  Ammonium sulphate  Asymmetry parameter  Intensive parameters  Mass scattering efficiency  Optical parameter  Pm10 mass concentrations  Pollution sources  Positive Matrix Factorization  Parameter estimation  air quality  atmospheric pollution  backscatter  concentration (composition)  factor analysis  matrix  numerical model  particulate matter  pollutant source  pollution monitoring  source identification  
Dust emission and transport in Northwest China: WRF-Chem simulation and comparisons with multi-sensor observations 期刊论文
, 2020, 卷号: 241
作者:  Zhao J.;  Ma X.;  Wu S.;  Sha T.
收藏  |  浏览/下载:35/0  |  提交时间:2020/07/28
Arid regions  Erosion  Landforms  Meteorology  Particle size  Particle size analysis  Precipitation (chemical)  Satellites  Size distribution  Transport properties  Weather forecasting  Assimilation  Model results  Multi-sensor observations  Pm10 mass concentrations  Process analysis  Spatio-temporal variation  Weather research and forecasting models  WRF-Chem  Dust  air quality  atmospheric pollution  carbon emission  concentration (composition)  dust  satellite data  satellite imagery  China  Qinghai-Xizang Plateau