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Long-term observations of tropospheric NO_2, SO_2 and HCHO by MAX-DOAS in Yangtze River Delta area, China

Journal of Environmental Sciences 2018年第9期30卷 207-221页

作者： Xin Tian Pinhua Xie Jin Xu Ang Li Yang Wang Min Qin Zhaokun Hu School of Environmental Science and Optoeclectronic Technology University of Science and Technology of China Hefei 230026 China. Key laboratory of Environmental Optical and Technology Anhui Institute of Optics and Fine Mechanies Chinese Academy of ScienceHefei 2:30031 China CAS Center for Excellence in Urban Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen361021 China Max Planck Institute for Chemistry Mainz 55128 Germany

Yangtze River Delta （YRD） area is one of the important economic zones in China. However, this area faces increasing environmental problems. In this study, we use ground-based multi-axis differential optical absorption spectroscopy （MAX-DOAS） network in Eastern China to retrieve variations of NO2, SO2, and formaldehyde （HCHO） in the YRD area. Three cities of YRD （Hefei, Nanjing, and Shanghai） were selected for long-term observations. This paper presents technical performance and characteristics of instruments, their distribution in YRD, and results of vertical column densities （VCDs） and profiles of NO2, SO2, and HCHO. Average diurnal variations of tropospheric NO2 and SO2 in different seasons over the three stations yielded minimum values at noon or in the early afternoon, whereas tropospheric HCHO reached the maximum during midday hours. Slight reduction of the pollutants in weekends occurred in all the three sites. In general trace gas concentrations gradually reduced from Shanghai to Hefei. Tropospheric VCDs of NO2, SO2, and HCHO were compared with those from Ozone Monitoring Instrument （OMI） satellite observations, resulting in R2 of 0.606, 0.5432, and 0.5566, respectively. According to analysis of regional transports of pollutants, pollution process happened in YRO under the north wind with the pollution dissipating in the southeast wind. The feature is significant in exploring transport of tropospheric trace gas pollution in YRD, and provides basis for satellite and model validation.

关键词： MAX-DOAS instrument column densities NO2 HCHO SO2 Yangtze River Delta area pollution transport

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Cross-boundary transport and source apportionment for PM_(2.5) in a typical industrial city in the Hebei Province,China:A modeling study

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Journal of Environmental Sciences 2022年第5期34卷 465-473页

作者： Xiaoyong Liu Xiaole Pan Jie Li Xi Chen Hang Liu Yu Tian Yuting Zhang Shandong Lei Weijie Yao Qi Liao Yele Sun Zifa Wang Hong He State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China College of Earth Sciences University of Chinese Academy of SciencesBeijing 100049China

Cross-boundary transport of air pollution is a difficult issue in pollution control for the North China *** this study,an industrial district(Shahe City)with a large glass manufactur-ing sector was investigated to clarify the relative contribution of fine particulate matter(PM_(2.5))to the city's high levels of *** Nest Air Quality Prediction Model System(NAQPMS),paired with Weather Research and Forecasting(WRF),was adopted and applied with a spatial resolution of 5 *** the study period,the mean mass concentrations of PM_(2.5),SO_(2),and NO_(2)were observed to be 132.0,76.1,and 55.5μg/m^(3),*** model reproduced the variations in pollutant concentrations in Shahe at an acceptable *** simulation of online source-tagging revealed that pollutants emitted within a 50-km radius of downtown Shahe contributed 63.4%of the city's total PM_(2.5)*** contribu-tion increased to 73.9±21.2%when unfavorable meteorological conditions(high relative hu-midity,weak wind,and low planetary boundary layer height)were present;such conditions are more frequently associated with severe pollution(PM_(2.5)≥250μg/m^(3)).The contribution from Shahe was 52.3±21.6%.The source apportionment results showed that industry(47%),transportation(10%),power(17%),and residential(26%)sectors were the most important sources of PM_(2.5)in *** glass factories(where chimney stack heights were normallypollution levels were severe,the horizontally influ-enced area mainly covered ***,sensitivity tests indicated that reducing emissions by 20%,40%,and 60% could lead to a decrease in themass concentration of PM_(2.5) of of 12.0%,23.8%,and 35.5%,respectively.

关键词： Industrial cities PM_(2.5) pollution transport Source apportionment

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MAX-DOAS and OMI Measurements of Tropospheric NO2 and HCHO over Eastern China

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Journal of Geodesy and Geoinformation Science 2020年第4期3卷 1-13页

作者： Ka-Lok CHAN Zhuoru WANG Aijun DING Klaus-Peter HEUE Nan HAO Mark WENIG Remote Sensing Technology Institute(IMF) German Aerospace Center(DLR)Oberpfaffenhofen 82234Germany School of Atmospheric Sciences Nanjing UniversityNanjing 210000China European Organisation for the Exploitation of Meteorological Satellites(EUMETSAT) Darmstadt 64283Germany Meteorological Institute Ludwig-Maximilians-Universit t MünchenMünchen 80331Germany

In this paper,we present long term observations of atmospheric nitrogen dioxide(NO2)and formaldehyde(HCHO)in Nanjing using a Multi-AXis Differential Optical Absorption Spectroscopy(MAX-DOAS)*** based MAX-DOAS measurements were performed from April 2013 to February *** MAX-DOAS measurements of NO2 and HCHO vertical column densities(VCDs)are used to validate OMI satellite observations over *** comparison shows that the OMI observations of NO2 correlate well with the MAX-DOAS data with Pearson correlation coefficient(R)of *** comparison result of MAX-DOAS and OMI observations of HCHO VCD shows a good agreement with R of 0.75 and the slope of the regression line is *** age weighted backward propagation approach is applied to the MAX-DOAS measurements of NO2 and HCHO to reconstruct the spatial distribution of NO2 and HCHO over the Yangtze River Delta during summer and winter *** reconstructed NO2 fields show a distinct agreement with OMI satellite ***,due to the short atmospheric lifetime of HCHO,the backward propagated HCHO data does not show a strong spatial correlation with the OMI HCHO *** result shows the MAX-DOAS measurements are sensitive to the air pollution transportation in the Yangtze River Delta,indicating the air quality in Nanjing is significantly influenced by regional transportation of air pollutants.

关键词： MAX-DOAS OMI NO2 formaldehyde pollution transport

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