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Technical Perspective of Carbon Capture,Utilization,and Storage

Engineering 2022年第7期8卷 27-32页

作者： Qingyang Lin Xiao Zhang Tao Wang Chenghang Zheng Xiang Gao State Key Laboratory of Clean Energy Utilization State Environmental Protection Engineering Center for Coal-Fired Air Pollution ControlZhejiang UniversityHangzhou 310027China

Carbon dioxide(CO_(2))is the primary greenhouse gas contributing to anthropogenic climate change which is associated with human *** majority of CO_(2) emissions are results of the burning of fossil fuels for energy,as well as industrial processes such as steel and cement *** capture,utilization,and storage(CCUS)is a sustainable technology promising in terms of reducing CO_(2) emissions that would otherwise contribute to climate *** this perspective,the discussion on carbon capture focuses on chemical absorption technology,primarily due to its commercialization *** CO_(2) absorptive capacity and absorption rate of various chemical solvents have been *** carbon utilization focuses on electrochemical conversion routes converting CO_(2) into potentially valuable chemicals which have received particular attention in recent *** Faradaic conversion efficiencies for various CO_(2) reduction products are used to describe efficiency *** carbon storage,successful deployment relies on a better understanding of fluid mechanics,geomechanics,and reactive transport,which are discussed in details.

关键词： CCUS Carbon capture Carbon utilization Carbon storage Chemical absorption Electrochemical conversion Storage mechanism

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Organic nitrogen in PM2.5 in Beijing

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Frontiers of environmental Science & Engineering 2015年第6期9卷 1004-1014页

作者： Qian ZHANG Fengkui DUAN Kebin HE Yongliang MA Haiyan LI Takashi KIMOTO Aihua ZHENG State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Tsinghua University Beijing 100084 China Kimoto Electric Co. Ltd. Funahashi-Cho Tennouji-Ku Osaka 543-0024 Japan Analysis and Testing Center of Beijing Normal University Beijing 100875 China

Nitrogenous species, as important chemical components in PM2.5, include organic nitrogen （ON） and inorganic nitrogen （IN）, both of which have potential effects on human health, climate change and visibility degradation. In this study, we analyzed total nitrogen （TN） by CHN Elemental analyzer and inorganic nitrogen by ion chromatography （IC） respectively to obtain ON by calculating the difference between TN and IN. The results show that the mean ON concentrations in winter and summer are both 2.86 μg. m-a, ten times higher than other places reported on average. ON contributes about 20%- 30% to TN on average in both seasons, presenting higher contribution in summer. N：C ratios are much higher in summer than winter. ON sources or formation were strengthened by heavy PM2.5 pollution loads, especially sensitive to sulfate. ON concentrations are higher at night in the both seasons, however with distinguished day and night difference patterns influenced by relative humidity （RH） conditions. In winter, ON concentrations increase with RH on average through low RH values to high RH values. The variations are far larger than the ones caused by day and night difference. However in summer, day and night difference dominates the variations of ON concen- trations at low RH values, and RH conditions promote ON concentrations increase significantly only at high RH values. Dust related source and anthropogenic emission related secondary source are identified as important sources for ON. At heavy pollution loads, ON sources are more of secondary formation, possibly strengthened by combination influence of RH and acidity increase.

关键词： organic nitrogen N:C ratio secondary dayand night variation relative humidity (RH) acidity

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China’s carbon neutrality:an extensive and profound systemic reform

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Frontiers of environmental Science & Engineering 2023年第2期17卷 1-7页

作者： Xi Lu Dan Tong Kebin He State Key Joint Laboratory of Environment Simulation and Pollution Control and School of Environment Tsinghua UniversityBeijing 100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing 100084China Beijing Laboratory of Environmental Frontier Technologies Tsinghua UniversityBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China Department of Earth System Science Ministry of Education Key Laboratory for Earth System ModelingInstitute for Global Change StudiesTsinghua UniversityBeijing 100084China

China is the largest developing economy and carbon dioxide emitter in the world,the carbon neutrality goal of which will have a profound influence on the mitigation pathway of global climate *** transition towards a carbon-neutral society is integrated into the construction of ecological civilization in China,and brings profound implications for China’s socioeconomic ***,we not only summarize the major challenges in achieving carbon neutrality in China,but also identify the four potential new opportunities:namely,the acceleration of technology innovations,narrowing regional disparity by reshaping the value of resources,transforming the industrial structure,and co-benefits of pollution and carbon ***,we provide five policy suggestions and highlight the importance of balancing economic growth and carbon mitigation,and the joint efforts among the government,the enterprises,and the residents.

关键词： Carbon neutrality Energy structure Technology-dependent society Coordinated mitigation for air pollutants and CO_(2)

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Improved atmospheric mercury simulation using updated gas-particle partition and organic aerosol concentrations

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Journal of environmental Sciences 2022年第9期34卷 106-118页

作者： Kaiyun Liu Qingru Wu Shuxiao Wang Xing Chang Yi Tang Long Wang Tonghao Liu Lei Zhang Yu Zhao Qin’geng Wang Jinsheng Chen State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China Institute of Atmospheric Environment Guangdong provincial academy of environmental scienceGuangzhou 510045China China National Environmental Monitoring Centre Beijing 100012China State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentNanjing UniversityNanjing210023China Center for Excellence in Regional Atmos.Environ. Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China

The gaseous or particulate forms of divalent mercury(HgⅡ) significantly impact the spatial distribution of atmospheric mercury concentration and deposition flux(FLX). In the new nested-grid GEOS-Chem model, we try to modify the HgⅡ gas-particle partitioning relationship with synchronous and hourly observations at four sites in China. Observations of gaseous oxidized Hg(GOM), particulate-bound Hg(PBM), and PM 2.5 were used to derive an empirical gas-particle partitioning coefficient as a function of temperature( T) and organic aerosol(OA) concentrations under different relative humidity(RH). Results showed that with increasing RH, the dominant process of HgⅡ gas-particle partitioning changed from physical adsorption to chemical desorption. And the dominant factor of HgⅡ gas-particle partitioning changed from T to OA concentrations. We thus improved the simulated OA concentration field by introducing intermediate-volatility and semi-volatile organic compounds(I/SVOCs) emission inventory into the model framework and refining the volatile distributions of I/SVOCs according to new filed tests in the recent literatures. Finally, normalized mean biases(NMBs) of monthly gaseous element mercury(GEM), GOM, PBM, WFLX were reduced from-33%–29%, 95%–300%, 64%–261%, 117%–122% to-13%–0%,-20%–80%,-31%–50%,-17%–23%. The improved model explains 69%–98% of the observed atmospheric Hg decrease during 2013–2020 and can serve as a useful tool to evaluate the effectiveness of the Minamata Convention on Mercury.

关键词： Nested GEOS-Chem model HgⅡgas-particle partitioning Organic aerosol Atmospheric mercury Mercury deposition flux

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Insight into the critical factors determining the particle number concentrations during summer at a megacity in China

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Journal of environmental Sciences 2019年第1期31卷 169-180页

作者： Baoshuang Liu Xiaohui Bi Jiaying Zhang Jie Yuan Zhimei Xiao Qili Dai Yinchang Feng Yufen Zhang State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research College of Environmental Science and EngineeringNankai University Tianjin Environmental Monitoring Center

To identify the critical factors impacting the number concentration of particles with the aerodynamic diameters less than 2.5 μm(PNC_(2.5)), the continuous measurement of PNC_(2.5),chemical components in PM_(2.5), gaseous pollutants and meteorological conditions were conducted at an urban site in Tianjin in June 2015. Results indicated that the average PNC_(2.5) was 2839 ± 2430 d N/dlog Dp 1/cm^3 during the campaign. Compared to other meteorological parameters, the relative humidity(RH) had the strongest relationship with PNC_(2.5), with a Pearson's correlation coefficient of 0.53, and RH larger than 30% influenced strongly PNC_(2.5).The important influence of secondary reactions on PNC_(2.5) was inferred due to higher correlation coefficients between PNC_(2.5) and SO_4^(2-), NO_3^-, NH_4^+(r = 0.78–0.89; p < 0.01) and between PNC_(2.5) and ratios that represent the conversion of nitrogen and sulfur oxides to particulate matter(r = 0.42–0.49; p < 0.01). Under specific RH conditions, there were even stronger correlations between PNC_(2.5) and NO_3^-, SO_4^(2-), NH_4^+, while those between PNC_(2.5) and EC, OC were relatively weak, especially when RH exceeded 50%. Principal component analysis(PCA) and Pearson's correlation analysis indicated that secondary sources, vehicle emission and coal combustion might be major contributors to PNC_(2.5). Backward trajectory and potential source contribution function(PSCF) analysis suggested that the transport of air masses originated from these regions around Tianjin(Liaoning, Hebei, Shandong and Jiangsu) influenced critically PNC_(2.5). The north of Jiangsu, the west of Shandong, and the east of Hebei were distinguished as major potential source-areas of PNC_(2.5) by PSCF model.

关键词： Particle number concentration Correlation analysis Emission sources PSCF

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City-specific vehicle emission control strategies to achieve stringent emission reduction targets in China's Yangtze River Delta region

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Journal of environmental Sciences 2017年第1期29卷 75-87页

作者： Shaojun Zhang Ye Wu Bin Zhao Xiaomeng Wu Jiawei Shu Jiming Hao University of Michigan Department of Mechanical EngineeringAnn ArborMI 48109USA Tsinghua University State Key Joint Laboratory of Environment Simulation and Pollution ControlSchool of EnuironmentBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China Joint Institute for Regional Earth System Science and Engineering Department of Atmospheric and Oceanic SciencesUniversity of CaliforniaLos AngelesCalifornia 90095USA

The Yangtze River Delta（YRD） region is one of the most prosperous and densely populated regions in China and is facing tremendous pressure to mitigate vehicle emissions and improve air *** assessment has revealed that mitigating vehicle emissions of NOx would be more difficult than reducing the emissions of other major vehicular pollutants（e.g.,CO,HC and PM_（2.5）） in the YRD *** in Shanghai,where the emission control implemented are more stringent than in Jiangsu and Zhejiang,we observed little to no reduction in NOx emissions from 2000 to ***-reduction targets for HC,NOx and PM_（2.5） are determined using a response surface modeling tool for better air *** design city-specific emission control strategies for three vehicle-populated cities in the YRD region：Shanghai and Nanjing and Wuxi in *** results indicate that even if stringent emission control consisting of the Euro 6/VI standards,the limitation of vehicle population and usage,and the scrappage of older vehicles is applied,Nanjing and Wuxi will not be able to meet the NOx emissions target by ***,additional control measures are proposed for Nanjing and Wuxi to further mitigate NOx emissions from heavy-duty diesel vehicles.

关键词： Vehicle Emission control Scenario Yangtze River Delta

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Seasonal variation analysis of atmospheric CH_4,N_2O and CO_2 in Tianjin offshore area

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Science China Earth Sciences 2010年第8期53卷 1205-1215页

作者： KONG ShaoFei, LU Bing, HAN Bin, BAI ZhiPeng, XU Zhun, YOU Yan, JIN LiangMao, GUO XiaoYang & WANG Rui state environmental protection key laboratory of Urban Ambient air Particulate Matter pollution Prevention and control, College of environmental Science and Engineering, Nankai University, Tianjin 300071, China 1. State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin 300071 China

The concentrations of CH4, N2O and CO2 at the sea level were observed from November 2007 to August 2008 in order to study the greenhouse gases in the Tianjin offshore area of Bohai Sea. CH4 concentrations varied from 1.87 to 2.61 ppm with the highest value appearing in summer and the lowest in winter. The concentration range of N2O was 319.3 to 347.7 ppb, with the maximal value appearing in winter. CO2 was higher in the heating season than in non-heating season in this area. Concentrations of the three greenhouse gases in the study area exceeded the 2005 global background values. Backward trajectory model was used to analyze the sources. All three gases were influenced evidently by continental sources in the inshore area during the sampling periods. Every gas was compared with each other by correlation analysis, showing that the correlation of CO2 and N2O was more significant than to CH4 and their relationship with meteorological factors was consistent. It can be concluded these three greenhouse gases may be influenced by some similar sources, especially for CO2 and N2O.

关键词： Bohai Sea greenhouse gas offshore observation backward trajectory model sources

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δ^(15)N-stable isotope analysis of NH_(x): An overview on analytical measurements, source sampling and its source apportionment

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Frontiers of environmental Science & Engineering 2021年第6期15卷 175-185页

作者： Noshan Bhattarai Shuxiao Wang Yuepeng Pan Qingcheng Xu Yanlin Zhang Yunhua Chang Yunting Fang State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Yale-NUIST Center on Atmospheric Environment Nanjing University of Information Science&TechnologyNanjing 210044China CAS Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China

Agricultural sources and non-agricultural emissions contribute to gaseous ammonia(NH_(3))that plays a vital role in severe haze *** and quantitative contributions of these sources to ambient PM_(2.5)(particulate matter with an aerodynamic equivalent diameter below 2.5µm)concentrations remains *** nitrogen isotopic composition(δ^(15)N)of NH_(3)and NH_(4)+(δ^(15)N(NH_(3))andδ^(15)N(NH_(4)+),respectively)can yield valuable information about its sources and associated *** review provides an overview of the recent progress in analytical techniques forδ^(15)N(NH_(3))andδ^(15)N(NH_(4)+)measurement,sampling of atmospheric NH_(3)and NH_(4)+in the ambient air and their sources signature(e.g.,agricultural *** fuel),and isotope-based source apportionment of NH_(3)in urban *** study highlights that collecting sample that are fully representative of emission sources remains a challenge in fingerprintingδ^(15)N(NH_(3))values of NH_(3)emission ***,isotopic fractionation during NH_(3)gas-to-particle conversion under varying ambient field conditions(e.g.,relative humidity,particle pH,temperature)remains unclear,which indicates more field and laboratory studies to validate theoretically predicted isotopic fractionation are ***,this study concludes that lack of refinedδ^(15)N(NH_(3))fingerprints and full understanding of isotopic fractionation during aerosol formation in a laboratory and field conditions is a limitation for isotope-based source apportionment of NH_(3).More experimental work(in chamber studies)and theoretical estimations in combinations of field verification are necessary in characterizing isotopic fractionation under various environmental and atmospheric neutralization conditions,which would help to better interpret isotopic data and our understanding on NH_(x)(NH_(3)+NH_(4)+)dynamics in the atmosphere.

关键词： Aerosol ammonium Atmospheric gaseous ammonia Isotope fingerprinting Isotope-based source apportionment Ammonia gas-to-particle conversion

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Development and case study of a science-based software platform to support policy making on air quality

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Journal of environmental Sciences 2015年第1期27卷 97-107页

作者： Yun Zhu Yanwen Lao Carey Jang Chen-Jen Lin Jia Xing Shuxiao Wang Joshua S.Fu Shuang Deng Junping Xie Shicheng Long Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control College of Environmental and Energy South China University of Technology Guangzhou Higher Education Mega Center State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex School of Environment Tsinghua University College of Environmental and Energy South China University of Technology Guangzhou Higher Education Mega Center USEPA/Office of Air Quality Planning & Standards RTPNC 27711 USA Department of Civil Engineering Lamar University Department of Civil & Environmental Engineering University of Tennessee Chinese Research Academy of Environmental Sciences

This article describes the development and implementations of a novel software platform that supports real-time, science-based policy making on air quality through a user-friendly interface. The software, RSM-VAT, uses a response surface modeling（RSM） methodology and serves as a visualization and analysis tool（VAT） for three-dimensional air quality data obtained by atmospheric models. The software features a number of powerful and intuitive data visualization functions for illustrating the complex nonlinear relationship between emission reductions and air quality benefits. The case study of contiguous *** that the enhanced RSM-VAT is capable of reproducing the air quality model results with Normalized Mean Bias 〈 2% and assisting in air quality policy making in near real time.

关键词： air quality Policy making Response surface modeling Emission control scenarios Data visualization

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Secondary organic carbon quantification and source apportionment of PM_(10) in Kaifeng, China

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Journal of environmental Sciences 2009年第10期21卷 1353-1362页

作者： WU Lin FENG Yinchang WU Jianhui ZHU Tan BI Xiaohui HAN Bo YANG Weihong YANG Zhiqiang State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin 300071 China Kaifeng Environmental Monitoring Center Kaifeng 475000 China.

During 2005, the filter samples of ambient PM10 from five sites and the source samples of particulate matter were collected in Kaifeng, Henan Province of China. Nineteen elements, water-soluble ions, total carbon （TC） and organic carbon （OC） contained in samples were analyzed. Seven contributive source types were identified and their contributions to ambient PM10 were estimated by chemical mass balance （CMB） receptor model. Weak associations between the concentrations of organic carbon and element carbon （EC） were observed during the sampling periods, indicating that there was secondary organic aerosol pollution in the urban atmosphere. An indirect method of ＂OC/EC minimum ratio＂ was applied to estimate the concentration of secondary organic carbon （SOC）. The results showed that SOC contributed 26.2%, 32.4% and 18.0% of TC in spring, summer-fall and winter, respectively, and the annual average SOC concentration was 7.07 μg/m^3, accounting for 5.73% of the total mass in ambient PM10. The carbon species concentrations in ambient PM10 were recalculated by subtracting SOC concentrations from measured concentrations of TC and OC to increase the compatibility of source and receptor measurements for CMB model.

关键词： PM10 source apportionment secondary organic carbon chemical mass balance

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