Particulate pollution status and its characteristics during 2015–2016 in Hunan, China

Biancofiore, 2017, Recursive neural network model for analysis and forecast of PM10 and PM2. 5, Atmos. Pollut. Res., 8, 652, 10.1016/j.apr.2016.12.014

Chai, 2014, Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China, J. Environ. Sci., 26, 75, 10.1016/S1001-0742(13)60383-6

Choi, 2008, Spectral analysis of weekly variation in PM10 mass concentration and meteorological conditions over China, Atmos. Environ., 42, 655, 10.1016/j.atmosenv.2007.09.075

Dai, 2018, Current progress in remediation of chlorinated volatile organic compounds: a review, J. Ind. Eng. Chem., 62, 106, 10.1016/j.jiec.2017.12.049

El-Shafie, 2011, Generalized versus non-generalized neural network model for multi-lead inflow forecasting at Aswan high dam, Hydrol. Earth Syst. Sci., 15, 841, 10.5194/hess-15-841-2011

Elbayoumi, 2015, Development and comparison of regression models and feedforward backpropagation neural network models to predict seasonal indoor PM2.5–10 and PM2.5 concentrations in naturally ventilated schools, Atmos. Pollut. Res., 6, 1013, 10.1016/j.apr.2015.09.001

Fan, 2013, Impact of a dust storm on characteristics of particle matter (PM) in Guangzhou, China, Asia Pac. J. Atmos. Sci., 49, 121, 10.1007/s13143-013-0013-2

Fann, 2018, The estimated change in the level and distribution of PM2.5-attributable health impacts in the United States: 2005–2014, Environ. Res., 167, 506, 10.1016/j.envres.2018.08.018

Grivas, 2006, Artificial neural network models for prediction of PM10 hourly concentrations, in the Greater Area of Athens, Greece, Atmos. Environ., 40, 1216, 10.1016/j.atmosenv.2005.10.036

Gurjar, 2010, Human health risks in megacities due to air pollution, Atmos. Environ., 44, 4606, 10.1016/j.atmosenv.2010.08.011

He, 2016, Numerical model-based artificial neural network model and its application for quantifying impact factors of urban air quality, Water Air Soil Pollut., 227, 235, 10.1007/s11270-016-2930-z

He, 2017, Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities, Environ. Pollut., 223, 484, 10.1016/j.envpol.2017.01.050

Hu, 2014, Spatial and temporal variability of PM 2.5 and PM 10 over the north China plain and the Yangtze River Delta, China, Atmos. Environ., 95, 598, 10.1016/j.atmosenv.2014.07.019

Huang, 2018, Comparisons of three plant species in accumulating polycyclic aromatic hydrocarbons (PAHs) from the atmosphere: a review, Environ. Sci. Pollut. Res., 1

Kan, 2012, Ambient air pollution, climate change, and population health in China, Environ. Int., 42, 10, 10.1016/j.envint.2011.03.003

Lai, 2016, Characterization of PM 2.5 and the major chemical components during a 1-year campaign in rural Guangzhou, Southern China, Atmos. Res., 167, 208, 10.1016/j.atmosres.2015.08.007

Lee, 2007, Heavy metals and Pb isotopic composition of aerosols in urban and suburban areas of Hong Kong and Guangzhou, South China—evidence of the long-range transport of air contaminants, Atmos. Environ., 41, 432, 10.1016/j.atmosenv.2006.07.035

Li, 2017, Temporal and spatial analyses of particulate matter (PM10 and PM2. 5) and its relationship with meteorological parameters over an urban city in northeast China, Atmos. Res., 198, 185, 10.1016/j.atmosres.2017.08.023

Lin, 2016, Mortality burden of ambient fine particulate air pollution in six Chinese cities: results from the Pearl River Delta study, Environ. Int., 96, 91, 10.1016/j.envint.2016.09.007

Liu, 2015, Seasonal and diurnal variation in particulate matter (PM10 and PM2.5) at an urban site of Beijing: analyses from a 9-year study, Environ. Sci. Pollut. Res., 22, 627, 10.1007/s11356-014-3347-0

Liu, 2017, Attributions of meteorological and emission factors to the 2015 winter severe haze pollution episodes in China's Jing-Jin-Ji area, Atmos. Chem. Phys., 17, 1, 10.5194/acp-17-2971-2017

Liu, 2018, Ground-level ozone pollution and its health impacts in China, Atmos. Environ., 173, 223, 10.1016/j.atmosenv.2017.11.014

Marin, 2000, Gross rainfall and its partitioning into throughfall, stemflow and evaporation of intercepted water in four forest ecosystems in western Amazonia, J. Hydrol., 237, 40, 10.1016/S0022-1694(00)00301-2

Marzouni, 2016, A comparison of health impacts assessment for PM10 during two successive years in the ambient air of Kermanshah, Iran, Atmos. Pollut. Res., 7, 768, 10.1016/j.apr.2016.04.004

MEP, 2005

MEP, 2012

MEP, 2013

Mishra, 2015, Artificial intelligence based approach to forecast PM2.5 during haze episodes: a case study of Delhi, India, Atmos. Environ., 102, 239, 10.1016/j.atmosenv.2014.11.050

Ou, 2016, Ambient ozone control in a photochemically active region: short-term despiking or long-term attainment?, Environ. Sci. Technol., 50, 5720, 10.1021/acs.est.6b00345

Qian, 2006, More frequent cloud‐free sky and less surface solar radiation in China from 1955 to 2000, Geophys. Res. Lett., 33, 10.1029/2005GL024586

Ramsey, 2014, The impact of meteorological parameters on urban air quality, Atmos. Environ., 86, 58, 10.1016/j.atmosenv.2013.12.006

Russo, 2015, Neural network forecast of daily pollution concentration using optimal meteorological data at synoptic and local scales, Atmos. Pollut. Res., 6, 540, 10.5094/APR.2015.060

Sanchez‐Romero, 2014, The signal of aerosol‐induced changes in sunshine duration records: a review of the evidence, J. Geophys. Res.: Atmos., 119, 4657, 10.1002/2013JD021393

Tai, 2010, Correlations between fine particulate matter (PM2. 5) and meteorological variables in the United States: implications for the sensitivity of PM2. 5 to climate change, Atmos. Environ., 44, 3976, 10.1016/j.atmosenv.2010.06.060

Tao, 2013, Chemical composition of PM 2.5 in an urban environment in Chengdu, China: importance of springtime dust storms and biomass burning, Atmos. Res., 122, 270, 10.1016/j.atmosres.2012.11.004

Wang, 2007, The air pollution caused by the burning of fireworks during the lantern festival in Beijing, Atmos. Environ., 41, 417, 10.1016/j.atmosenv.2006.07.043

Wang, 2015, Spatial and temporal variations of the concentrations of PM10, PM2.5 and PM1 in China, Atmos. Chem. Phys. Discuss., 15, 13585, 10.5194/acp-15-13585-2015

Wang, 2017, Ozone pollution in China: a review of concentrations, meteorological influences, chemical precursors, and effects, Sci. Total Environ., 575, 1582, 10.1016/j.scitotenv.2016.10.081

Xu, 2012, Seasonal variations and chemical compositions of PM 2.5 aerosol in the urban area of Fuzhou, China, Atmos. Res., 104–105, 264, 10.1016/j.atmosres.2011.10.017

Yang, 2009, Decreasing trend of sunshine hours and related driving forces in North China, Theor. Appl. Climatol., 97, 91, 10.1007/s00704-008-0049-x

Zhang, 2013, Chemical characteristics of PM2.5 during haze episodes in the urban of Fuzhou,China, Particuology, 11, 264, 10.1016/j.partic.2012.07.001

Zhang, 2015, Seasonal variations and chemical characteristics of PM(2.5) in Wuhan, central China, Sci. Total Environ., 518–519, 97, 10.1016/j.scitotenv.2015.02.054

Zhang, 2015, Relationships between meteorological parameters and criteria air pollutants in three megacities in China, Environ. Res., 140, 242, 10.1016/j.envres.2015.04.004

Zu, 2017, Investigation of relationships between meteorological conditions and high PM10 pollution in a megacity in the western Yangtze River Delta, China, Air Qual. Atmos. Health, 10, 713, 10.1007/s11869-017-0472-1