Spatio-temporal variations in SO2 and NO2 emissions caused by heating over the Beijing-Tianjin-Hebei Region constrained by an adaptive nudging method with OMI data.

The Beijing-Tianjin-Hebei (BTH) region in China suffers from heavy air pollution, especially in heating period. SO2 and NO2 are two of the key primary gaseous pollutants emitted by coal burning. The increase in air pollution caused by heating in the south-central part of the BTH region is higher than that in the northern part. And the distribution of SO2 and NO2 increment has significant differences. In this work, SO2 and NO2 emissions over the BTH region are determined using an adaptive "nudging" constrained method and a variational processing technique based on Ozone Monitoring Instrument (OMI) satellite data and surface measurement data collected in 2015. The application of the method can provide reliable, up-to-date and high-resolution mapping of sources of SO2 and NO2 emissions. These SO2 and NO2 emissions reflect the spatial differences in point and area sources in urban agglomerations and rural areas under different meteorological conditions during the non-heating and heating seasons. The intensity and influence of SO2 and NO2 emissions, particularly those of SO2, are significantly greater during the heating season than those during the non-heating season. Winter increases in SO2 emissions in the northern areas of the BTH region are larger than those in the southern part. In addition, significant increases in SO2 emissions occur mainly in suburban and rural areas, while those of NO2 emissions mainly occur in urban agglomerations. In the major urban areas, where coal has been replaced by natural gas or electric power for heating, winter heating causes much smaller increases in SO2 emissions than in other areas. The large amounts of bulk coal consumption in the suburban and rural areas could cause significant regional air pollution. Clear increases in SO2 and NO2 emissions in winter occur along a belt from southern Beijing to Langfang, Baoding, Shijiazhuang and Xingtai, which is consistent with a special "quasi-steady" air pollutant transport belt in the region. All above results show that the adaptive "nudging" constrained emission method could be an effective tool for air pollution control during certain seasons.

[1]  Dong Jiang,et al.  Spatio-Temporal Variation of PM2.5 Concentrations and Their Relationship with Geographic and Socioeconomic Factors in China , 2013, International journal of environmental research and public health.

[2]  Michael Mascagni,et al.  The backward Euler method for numerical solution of the Hodgkin-Huxley equations of nerve conduction , 1990 .

[3]  LI Chengcai,et al.  A modeling analysis of a heavy air pollution episode occurred in Beijing , 2006 .

[4]  Kebin He,et al.  Reactive nitrogen chemistry in aerosol water as a source of sulfate during haze events in China , 2016, Science Advances.

[5]  O. Pizarro,et al.  Vertical propagation of extratropical Rossby waves during the 1997–1998 El Niño off the west coast of South America in a medium‐resolution OGCM simulation , 2008 .

[6]  Heikki Saari,et al.  The ozone monitoring instrument , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[7]  H. Eskes,et al.  Global NO x emission estimates derived from an assimilation of OMI tropospheric NO 2 columns , 2011 .

[8]  Daewon W. Byun,et al.  Dynamically Consistent Formulations in Meteorological and Air Quality Models for Multiscale Atmospheric Studies. Part I: Governing Equations in a Generalized Coordinate System , 1999 .

[9]  Song‐You Hong,et al.  The WRF Single-Moment 6-Class Microphysics Scheme (WSM6) , 2006 .

[10]  Jun Yu Li,et al.  Measurements of black and organic carbon emission factors for household coal combustion in China: implication for emission reduction. , 2009, Environmental science & technology.

[11]  N. Krotkov,et al.  The observed response of Ozone Monitoring Instrument (OMI) NO2 columns to NOx emission controls on power plants in the United States: 2005–2011 , 2013 .

[12]  D. Jacob,et al.  Comparison of Adjoint and Analytical Bayesian Inversion Methods for Constraining Asian Sources of Carbon Monoxide Using Satellite (MOPITT) Measurements of CO Columns , 2009 .

[13]  Dylan B. A. Jones,et al.  Quantifying the impact of model errors on top‐down estimates of carbon monoxide emissions using satellite observations , 2011 .

[14]  J. D. Tarpley,et al.  Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model , 2003 .

[15]  Study on variational aerosol fields over Beijing and its adjoining areas derived from Terra-MODIS and ground sunphotometer observation , 2003 .

[16]  Shepard A. Clough,et al.  Impact of an improved longwave radiation model, RRTM, on the energy budget and thermodynamic properties of the NCAR community climate model, CCM3 , 2000 .

[17]  Chunsheng Zhao,et al.  Characteristics of pollutants and their correlation to meteorological conditions at a suburban site in the North China Plain , 2011 .

[18]  Daewon W. Byun,et al.  The next generation of integrated air quality modeling: EPA's models-3 , 1996 .

[19]  Michael Q. Wang,et al.  An inventory of gaseous and primary aerosol emissions in Asia in the year 2000 , 2003 .

[20]  O. Talagrand,et al.  4D-variational data assimilation with an adjoint air quality model for emission analysis , 2000, Environ. Model. Softw..

[21]  K. F. Boersma,et al.  Near-real time retrieval of tropospheric NO 2 from OMI , 2006 .

[22]  Arnaldo Alves Cardoso,et al.  Sources of atmospheric acidity in an agricultural-industrial region of São Paulo State, Brazil , 2003 .

[23]  Wang Yue-si,et al.  Measurement of the vertical profile of atmospheric SO2 during the heating period in Beijing on days of high air pollution , 2009 .

[24]  J. Kain,et al.  A One-Dimensional Entraining/Detraining Plume Model and Its Application in Convective Parameterization , 1990 .

[25]  Zifa Wang,et al.  Air pollution over the North China Plain and its implication of regional transport: A new sight from the observed evidences. , 2018, Environmental pollution.

[26]  David G. Streets,et al.  U.S. NO2 trends (2005–2013): EPA Air Quality System (AQS) data versus improved observations from the Ozone Monitoring Instrument (OMI) , 2015 .

[27]  Piet Stammes,et al.  An improved retrieval of tropospheric NO₂columns from the Ozone Monitoring Instrument , 2010 .

[28]  IMPROVEMENTS TO HORIZONTAL TRANSPORT IN GRID MODELS , 2000 .

[29]  Xiangde Xu,et al.  The characteristics of abnormal wintertime pollution events in the Jing-Jin-Ji region and its relationships with meteorological factors. , 2018, The Science of the total environment.

[30]  Philippe Thunis,et al.  Effect of Sea Breeze on Air Pollution in the Greater Athens Area. Part II: Analysis of Different Emission Scenarios , 2000 .

[31]  Xiangde Xu,et al.  Application of an Adaptive Nudging Scheme in Air Quality Forecasting in China , 2008 .

[32]  Zhiliang Yao,et al.  NOx emission trends for China, 1995–2004: The view from the ground and the view from space , 2007 .

[33]  Andrea Pozzer,et al.  Interactive comment on “A high-resolution emission inventory of primary pollutants for the Huabei region, China” by B. Zhao et al , 2011 .

[34]  G. Fu,et al.  The distribution and trends of fog and haze in the North China Plain over the past 30 years , 2014 .

[35]  Zhou Li,et al.  Diurnal variations of air pollution and atmospheric boundary layer structure in Beijing during winter 2000/2001 , 2005 .

[36]  J. Pleim A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part I: Model Description and Testing , 2007 .

[37]  T. Zhu,et al.  Distribution and sources of air pollutants in the North China Plain based on on-road mobile measurements , 2016 .

[38]  Brittany McClure,et al.  Validation of SO2 Retrievals from the Ozone Monitoring Instrument over NE China , 2008 .

[39]  J. Schauer,et al.  Seasonal trends in PM2.5 source contributions in Beijing, China , 2005 .

[40]  J. Seinfeld,et al.  Atmospheric Chemistry and Physics: From Air Pollution to Climate Change , 1997 .

[41]  David G. Streets,et al.  Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015 , 2015 .

[42]  Xiangde Xu,et al.  An emission source inversion model based on satellite data and its application in air quality forecasts , 2010 .