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Variations in Column Concentration of Greenhouse Gases in China and Their Response to the 2015-2016 El Niño Event
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作者 Ningwei LIU Lingjun XIA +6 位作者 youjun dou Shaorou DONG Jing WEN Ying WANG Rui FENG Ruonan WANG Yuhe LI 《Journal of Meteorological Research》 SCIE CSCD 2024年第3期608-619,共12页
Since the industrial revolution,enhancement of atmospheric greenhouse gas concentrations as a result of human activities has been the primary cause of global warming.The monitoring and evaluation of greenhouse gases a... Since the industrial revolution,enhancement of atmospheric greenhouse gas concentrations as a result of human activities has been the primary cause of global warming.The monitoring and evaluation of greenhouse gases are significant prerequisites for carbon emission control.Using monthly data of global atmospheric carbon dioxide(CO_(2))and methane(CH4)column concentrations(hereinafter XCO_(2) and XCH_(4),respectively)retrieved by the Greenhouse Gas Observation Satellite(GOSAT),we analyzed the variations in XCO_(2)and XCH_(4)in China during 2010-2022 after confirming the reliability of the data.Then,the influence of a strong El Niño event in 2015-2016 on XCO_(2) and XCH_(4) variations in China was further studied.The results show that the retrieved XCO_(2) and XCH_(4) from GOSAT have similar temporal variation trends and significant correlations with the ground observation and emission inventory data of an atmospheric background station,which could be used to assess the variations in XCO_(2) and XCH_(4) in China.XCO_(2) is high in spring and winter while XCH_(4) is high in autumn.Both XCO_(2) and XCH_(4) gradually declined from Southeast China to Northwest and Northeast China,with variation ranges of 401-406 and 1.81-1.88 ppmv,respectively;and the high value areas are located in the middle-lower Yangtze River basin.XCO_(2) and XCH_(4) in China increased as a whole during 2010-2022,with rapid enhancement and high levels of XCO_(2) and XCH_(4) in several areas.The significant increases in XCO_(2) and XCH_(4) over China in 2016 might be closely related to the strong El Niño-Southern Oscillation(ENSO)event during 2015-2016.Under a global warming background in 2015,XCO_(2) and XCH_(4) increased by 0.768%and 0.657%in 2016 in China.Data analysis reveals that both the XCO_(2) and XCH_(4) variations might reflect the significant impact of the ENSO event on glacier melting in the Tibetan Plateau. 展开更多
关键词 greenhouse gases column concentration CO_(2) CH4 El Niño-Southern Oscillation(ENSO) El Niño
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影响我国霾天气的多尺度过程 被引量:12
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作者 权建农 徐祥德 +10 位作者 贾星灿 刘树华 苗世光 辛金元 胡非 王自发 范绍佳 张宏昇 牟玉静 窦有俊 程志刚 《科学通报》 EI CAS CSCD 北大核心 2020年第9期810-824,共15页
频发的霾天气是我国现阶段面临的最主要大气环境问题之一.霾期间高浓度大气细颗粒物(PM2.5)是多种物理化学过程综合影响的结果,包括排放、气-粒转化、大气边界层、局地环流、天气与气候等过程.上述过程的时空尺度跨越了几个数量级,在空... 频发的霾天气是我国现阶段面临的最主要大气环境问题之一.霾期间高浓度大气细颗粒物(PM2.5)是多种物理化学过程综合影响的结果,包括排放、气-粒转化、大气边界层、局地环流、天气与气候等过程.上述过程的时空尺度跨越了几个数量级,在空间尺度上涵盖了纳米尺度至上千千米尺度.多尺度过程本身的复杂性以及不同过程之间的相互影响是目前大气环境领域面临的最严峻挑战,直接影响到对于霾天气形成机制的科学认识、预报技术与数值模式研发,以及相应的大气污染治理.文章综述了在影响我国霾天气的多尺度过程及其与气溶胶的相互作用领域取得的研究进展.研究表明:二次气溶胶已经成为我国大气气溶胶的主要部分,在霾过程后期,液相非均相过程对气-粒转化有重要贡献;PM2.5呈现多时间尺度周期性振荡,包括1,4~7以及40~60 d等,边界层、天气和气候等多尺度过程是造成上述周期性变化的主因;已有证据表明,我国高气溶胶已经影响到该区域大气光化学、大气边界层,甚至天气和气候过程.气溶胶与上述过程的相互作用进一步影响了气溶胶浓度及其空间分布,但是此问题极为复杂,尚存在很大不确定性.为此,今后需重点加强以下研究:加强包含气溶胶理化性质、大气光化学、气象要素在内的多要素协同观测,重点开展对流层内多要素协同垂直探测;增强跨学科领域研究,尤其是大气物理-大气化学-天气/气候等多学科间的交叉性研究;加强气溶胶与大气化学、边界层、天气气候等过程相互作用的数值模拟研究. 展开更多
关键词 气溶胶 多尺度过程 天气/气候过程
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Insights into measurements of water-soluble ions in PM_(2.5)and their gaseous precursors in Beijing 被引量:9
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作者 Jie Su Pusheng Zhao +2 位作者 Jing Ding Xiang Du youjun dou 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2021年第4期123-137,共15页
To better understand the characteristics and transformation mechanisms of secondary inorganic aerosols,hourly mass concentrations of water-soluble inorganic ions(WSIIs)in PM_(2.5)and their gaseous precursors were meas... To better understand the characteristics and transformation mechanisms of secondary inorganic aerosols,hourly mass concentrations of water-soluble inorganic ions(WSIIs)in PM_(2.5)and their gaseous precursors were measured online from 2016 to 2018 at an urban site in Beijing.Seasonal and diurnal variations in water-soluble ions and gaseous precursors were discussed and their gas-particle conversion and partitioning were also examined,some related parameters were characterized.The(TNH_(3))Rich was also defined to describe the variations of the excess NH_(3)in different seasons.In addition,a sensitivity test was carried out by using ISORROPIA II to outline the driving factors of gas-particle partitioning.In Beijing,the relative contribution of nitrate to PM_(2.5)has increased markedly in recent years,especially under polluted conditions.In the four seasons,only a small portion of NO_(2)in the atmosphere was converted into total nitrate(TNO_(3)),and more than 80%of TNO_(3)occurred in the form of nitrate due to the abundant ammonia.The concentration of total ammonia(TNH_(3))was much higher than that required to neutralize acid gases,and most of the TNH_(3)occurred as gaseous NH_(3).The nitrous acid(HONO)concentration was highly correlated with NH_(3)concentration and had increased significantly in Beijing compared with previous studies.The total chloride(TCl)was the highest in winter,andε(Cl^(-))was more sensitive to variations in the ambient temperature(T)and relative humidity(RH)thanε(NO_(3)^(-)). 展开更多
关键词 PM_(2.5) Water-soluble ion Gaseous precursor Secondary formation Gas-particle partitioning
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Numerical simulation of the influence of aerosol radiation effect on urban boundary layer 被引量:3
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作者 Xinran WANG Xiaodong HE +1 位作者 Shiguang MIAO youjun dou 《Science China Earth Sciences》 SCIE EI CAS CSCD 2018年第12期1844-1858,共15页
With the intensification of pollution and urbanization, the aerosol radiation effect continues to play an important role in the urban boundary layer. In this paper, a winter pollution process in Beijing has been taken... With the intensification of pollution and urbanization, the aerosol radiation effect continues to play an important role in the urban boundary layer. In this paper, a winter pollution process in Beijing has been taken as an example, and a new aerosol vertical profile in the radiative parameterization scheme within the Weather Forecast Research and Forecasting(WRF) model has been updated to study the effect of aerosols on radiation and the boundary layer. Furthermore, the interactions among aerosols,urbanization, and planetary boundary layer(PBL) meteorology were discussed through a series of numerical experiments. The results show the following:(1) The optimization improves the performance of the model in simulating the distribution features of air temperature, humidity, and wind in Beijing.(2) The aerosols reduce the surface temperature by reducing solar radiation and increasing the temperature in the upper layer by absorbing or backscattering solar radiation. The changes in the PBL temperature lead to more stable atmospheric stratification, reducing the energy transfer from the surface and the height of the boundary layer.(3) With the increase in the aerosol optical depth, the atmospheric stratification most likely becomes stable over rural areas, most likely becomes stable over suburb areas, and has great difficultly becoming stable over urban areas. Aerosol radiative forcing,underlying urban surfaces, and the interaction between them are the main factors that affect the changes in the meteorological elements in the PBL. 展开更多
关键词 AEROSOL URBANIZATION BOUNDARY layer METEOROLOGICAL ELEMENTS WRF
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