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学者姓名：程水源
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Abstract ：
In the global effort to mitigate air pollution and combat climate change, reducing emissions from mobile sources is crucial for addressing PM 2.5 and O3 3 pollution as well as achieving carbon reduction goals. This study addresses the challenge of balancing environmental and economic objectives within the constraints of pollution control and carbon peak targets. The primary aim was to estimate the synergistic effects of reducing pollutants and carbon emissions while understanding the nonlinear responses of air quality to these reductions. To achieve this, a nonlinear optimization model was developed to minimize economic costs while optimizing mobile source pollutant and carbon reduction. Key findings include that upgrading emission standards significantly reduces pollutants, but does not impact CO2 2 levels directly. Conversely, electrification nearly eliminates pollutants from vehicles and achieves an 18.3% reduction in CO2 2 emissions from a lifecycle perspective. The study quantifies the substantial contribution of mobile sources to PM 2.5 (30.1%-50.6%) and O3 3 (42.9%-52.5%), with regional variations showing even higher local contributions. The optimized control scheme is projected to limit CO2 2 emissions increase to less than 1.75% by 2030, while reducing PM 2.5 and O3 3 concentrations by 46%-61% and 21%- 68%, respectively. These emission reduction achievements are basically in line with the regional pollution control goals. Economically, fuel-saving strategies offer significant cost benefits and synergistic reductions in both pollutants and carbon emissions. Effective control of NOx, a key precursor to PM 2.5 and O3, 3 , is essential, especially in non-road and diesel vehicles. Adjustments in transportation structure also provide a viable reduction strategy, albeit constrained by certain regional factors. The study underscores the expanding potential of technological advancements and clean power supplies to enhance pollutant and carbon reduction efforts, contributing to future carbon neutrality goals. This research fills a gap in understanding the balance between economic feasibility and environmental impact, offering a reference for developing differentiated management strategies and planning for mobile sources under carbon peak and coordinated pollution control objectives.
Keyword ：
Synergistic effect Synergistic effect Mobile sources Mobile sources Optimal control strategies Optimal control strategies Pollutant and carbon reduction Pollutant and carbon reduction
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| GB/T 7714 | Wang, Chuanda , Duan, Wenjiao , Cheng, Shuiyuan et al. Synergistic effects and optimal control strategies of air pollutant and carbon emission reduction from mobile sources [J]. | JOURNAL OF CLEANER PRODUCTION , 2024 , 478 . |
| MLA | Wang, Chuanda et al. "Synergistic effects and optimal control strategies of air pollutant and carbon emission reduction from mobile sources" . | JOURNAL OF CLEANER PRODUCTION 478 (2024) . |
| APA | Wang, Chuanda , Duan, Wenjiao , Cheng, Shuiyuan , Lang, Jianlei , Hou, Xiaosong . Synergistic effects and optimal control strategies of air pollutant and carbon emission reduction from mobile sources . | JOURNAL OF CLEANER PRODUCTION , 2024 , 478 . |
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Abstract ：
An evidence-based control strategy for emission reduction of VOC sources can effectively solve the regional PM 2.5 and O 3 compound pollution in China. We estimated the anthropogenic VOC emission inventory in China in 2018 and established a source profile database containing 129 sources based on localized detection and the latest research results. Then, the distribution of the ozone formation potential (OFP) and secondary organic aerosol formation potential (SOAFP) for emission sources was analyzed. Moreover, priority control routes for VOC emission sources were proposed for different periods. Anthropogenic VOC emissions in China reached 27,211.8 Gg in 2018, and small passenger cars, industrial protective coatings, biomass burning, heavy trucks, printing, asphalt paving, oil storage and transportation, coking, and oil refining were the main contributors. Industrial protective coatings, small passenger cars, and biomass burning all contributed significantly to OFP and SOAFP. Priority in emission reduction control should be given to industrial protective coatings, small passenger cars, heavy trucks, coking, printing, asphalt paving, chemical fibers, and basic organic chemical sources over the medium and long term in China. In addition, the priority control route for VOC emission sources should be adjusted according to the variations in VOC emission characteristics and regional differences, so as to obtain the maximum environmental benefits.(c) 2023 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
Keyword ：
Anthropogenic emission inventory Anthropogenic emission inventory Emission projection Emission projection Priority control route Priority control route Reactivity Reactivity Volatile organic compounds Volatile organic compounds
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| GB/T 7714 | Wang, Ruipeng , Wang, Xiaoqi , Cheng, Shuiyuan et al. Determining an optimal control strategy for anthropogenic VOC emissions in China based on source emissions and reactivity [J]. | JOURNAL OF ENVIRONMENTAL SCIENCES , 2023 , 136 : 248-260 . |
| MLA | Wang, Ruipeng et al. "Determining an optimal control strategy for anthropogenic VOC emissions in China based on source emissions and reactivity" . | JOURNAL OF ENVIRONMENTAL SCIENCES 136 (2023) : 248-260 . |
| APA | Wang, Ruipeng , Wang, Xiaoqi , Cheng, Shuiyuan , Zhu, Jiaxian , Zhang, Xinyu , Cheng, Long et al. Determining an optimal control strategy for anthropogenic VOC emissions in China based on source emissions and reactivity . | JOURNAL OF ENVIRONMENTAL SCIENCES , 2023 , 136 , 248-260 . |
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Abstract ：
邯郸市近年来O_3污染状况越发严峻,2018年夏季(6～8月),邯郸市O_3日最大8 h平均浓度为175μg·m~(-3),超标天数达54 d,超标率59%,最高浓度达257μg·m~(-3).本研究应用WRF-CMAQ模式系统和光化学指标法对邯郸市夏季O_3生成敏感性特征进行分析.结果表明,用H_2O_2/HNO_3表征O_3生成敏感性较其他指标在理论和模拟效果方面均更合适.基于精细化的源清单和网格分辨率,CMAQ对H_2O_2和HNO_3有较好的模拟效果.对H_2O_2/HNO_3的模拟结果显示,邯郸市VOCs控制区范围逐月减少,6月协同控制区范围占比最大,7月和8月以NO_x控制区为主....
Keyword ：
WRF-CMAQ WRF-CMAQ 光化学指标 光化学指标 敏感性 敏感性 臭氧 臭氧 邯郸市 邯郸市
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| GB/T 7714 | 牛元 , 程水源 , 欧盛菊 et al. 基于光化学指标法的邯郸市臭氧生成敏感性 [J]. | 环境科学 , 2021 , 42 (06) : 2691-2698 . |
| MLA | 牛元 et al. "基于光化学指标法的邯郸市臭氧生成敏感性" . | 环境科学 42 . 06 (2021) : 2691-2698 . |
| APA | 牛元 , 程水源 , 欧盛菊 , 姚诗音 , 沈泽亚 , 关攀博 . 基于光化学指标法的邯郸市臭氧生成敏感性 . | 环境科学 , 2021 , 42 (06) , 2691-2698 . |
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Abstract ：
本文针对京津冀区域,基于传统的排放因子法建立了区域人为源VOCs物种排放清单;并基于区域卫星遥感甲醛信息和典型城市地面VOCs观测信息,开展了VOCs物种清单多维校验研究.清单计算结果表明,该区域2013、2015和2017年VOCs排放量分别为202.67、207.34和193.42万t,以烷烃(29.83%～30.72%)、不饱和烃(16.54%～17.68%)、芳香烃(27.14%～27.51%)、醛(8.75%～9.52%)、酮(8.13%～9.04%)和醇醚酯(5.13%～6.60%)为主.2013～2017年VOCs清单排量,张家口、秦皇岛和衡水小幅上升(每年1.10%～1.66%...
Keyword ：
卫星遥感 卫星遥感 地面观测 地面观测 挥发性有机物(VOCs) 挥发性有机物(VOCs) 清单校验 清单校验 物种清单 物种清单
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| GB/T 7714 | 王玥 , 魏巍 , 任云婷 et al. 基于卫星遥感和地面观测的人为源VOCs区域清单多维校验 [J]. | 环境科学 , 2021 , 42 (06) : 2713-2720 . |
| MLA | 王玥 et al. "基于卫星遥感和地面观测的人为源VOCs区域清单多维校验" . | 环境科学 42 . 06 (2021) : 2713-2720 . |
| APA | 王玥 , 魏巍 , 任云婷 , 王晓琦 , 陈赛赛 , 程水源 . 基于卫星遥感和地面观测的人为源VOCs区域清单多维校验 . | 环境科学 , 2021 , 42 (06) , 2713-2720 . |
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Abstract ：
The air quality of Handan, a typical industrial city in China, has been significantly improved through atmospheric pollution control, except for ozone (O-3) pollution. We found that, in summer, emissions of anthropogenic volatile organic compounds (VOCs) and NOx decreased yearly in Handan, but the O-3 concentration significantly declined yearly during 2013-2015, whereas it experienced worsening O-3 pollution after 2015. Therefore, we used the Weather Research and Forecasting Community Multiscale Air Quality (WRF-CMAQ) modeling system to simulate the influence of the meteorological conditions and emission changes in Handan during the typical period (June) of O-3 pollution in 2013-2018. For benchmarked June 2013, the results showed that the reduction of the O-3 concentration in June of 2014-2016 was mainly caused by emission reduction, while in June of 2017-2018, the combined effect of changes in emissions and meteorological conditions led to aggravated O-3 pollution. Sensitivity analysis indicated that combined VOCs and NOx emission controls would effectively reduce incremental O-3 formation when the abatement ratio of VOCs/NOx should be no less than 0.84, and we found that VOCs reduction would continusouly bring about O-3 decreases under various NOx reductions, but its positive sensitivity to O-3 would become smaller with NOx reduction. However, the positive influence of NOx reduction on O-3 would happen until NOx reduction exceeding 45-60%. The findings will be helpful in formulating emission control strategies for coping with O-3 pollution in an industrial city.
Keyword ：
surface ozone surface ozone quantitative assessment quantitative assessment WRF-CMAQ model system WRF-CMAQ model system control strategy control strategy
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| GB/T 7714 | Yao, Shiyin , Wei, Wei , Cheng, Shuiyuan et al. Impacts of Meteorology and Emissions on O-3 Pollution during 2013-2018 and Corresponding Control Strategy for a Typical Industrial City of China [J]. | ATMOSPHERE , 2021 , 12 (5) . |
| MLA | Yao, Shiyin et al. "Impacts of Meteorology and Emissions on O-3 Pollution during 2013-2018 and Corresponding Control Strategy for a Typical Industrial City of China" . | ATMOSPHERE 12 . 5 (2021) . |
| APA | Yao, Shiyin , Wei, Wei , Cheng, Shuiyuan , Niu, Yuan , Guan, Panbo . Impacts of Meteorology and Emissions on O-3 Pollution during 2013-2018 and Corresponding Control Strategy for a Typical Industrial City of China . | ATMOSPHERE , 2021 , 12 (5) . |
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Abstract ：
Beijing has achieved significant air quality improvement over the past decade. In this study, we applied a simulation technique on pollutant monitoring data to investigate the contribution of emission reduction (ERE) and meteorological effects (ME) to the improvement of air quality. We measured the daily PM2.5 concentrations during four months (representing the four seasons) in 2013 and 2018. We found that the concentrations of NH4+, NO3, and SO42- decreased from 2013 to 2018, but the proportion of NO3 in PM2.5 showed an apparent increase. Multiple scenarios were simulated using the WRF-CAMx model to determine the impact of ERE and ME on air pollution. The results showed that both variables positively contributed to the annual air quality improvement, with ERE contributing more than 70% to the total PM2.5 reduction. However, their seasonal contributions showed notable differences. In winter, ME contributed more than 40 mu g/m(3) to the PM2.5 decrease, which was much higher than that in other seasons. This suggests that the positive effect of pollutant emission reduction on air quality may have been weakened under extremely adverse meteorological conditions. Hence, the monitoring and modeling results were coupled to evaluate the secondary conversion degree. We found that the emissions of precursors, including SO2 and NOx, notably decreased, but both the local and regional conversion degrees increased from 2013 to 2018. Therefore, for effective air pollution reduction, we suggest that future air pollution mitigation measures should focus on reducing secondary pollution in Beijing.
Keyword ：
Air quality improvement Air quality improvement Emission reduction effect Emission reduction effect Meteorological effect Meteorological effect Secondary conversion degree Secondary conversion degree
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| GB/T 7714 | Wang, Xiaoqi , Wei, Wei , Cheng, Shuiyuan et al. Evaluation of continuous emission reduction effect on PM2.5 pollution improvement through 2013-2018 in Beijing [J]. | ATMOSPHERIC POLLUTION RESEARCH , 2021 , 12 (5) . |
| MLA | Wang, Xiaoqi et al. "Evaluation of continuous emission reduction effect on PM2.5 pollution improvement through 2013-2018 in Beijing" . | ATMOSPHERIC POLLUTION RESEARCH 12 . 5 (2021) . |
| APA | Wang, Xiaoqi , Wei, Wei , Cheng, Shuiyuan , Wang, Ruipeng , Zhu, Jiaxian . Evaluation of continuous emission reduction effect on PM2.5 pollution improvement through 2013-2018 in Beijing . | ATMOSPHERIC POLLUTION RESEARCH , 2021 , 12 (5) . |
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Abstract ：
In this study, distributed lag nonlinear models (DLNM) were built to characterize the non-linear exposure-lag-response relationship between the concentration of PM2.5 and O-3 and multiple influencing factors, including basic meteorological elements and precursors. Then, a stratified analysis of different years, seasons, pollution levels, and wind direction was conducted. DLNMs and coupled Weather Research and Forecasting Model-Community Multi-scale Air Quality Model (WRF-CMAQ) were used to evaluate PM2.5 and O-3 changes attributed to meteorological conditions and anthropogenic emissions comparing 2020 with 2016. As DLNMs showed, PM2.5 pollution was promoted by low wind speed, high temperature, low humidity, and high concentrations of SO2, NO2, and O-3, among which NO2 tended to be the dominant influencing factor. O-3 pollution was promoted by low wind speed, high temperature, low humidity, high concentration of PM2.5 and low concentration of NO2, among which temperature tended to be the dominant influencing factor. Moreover, north-south and easterly winds showed the greatest contribution to PM2.5 and O-3, respectively. Both DLNMs and CMAQ showed that anthropogenic factors alleviated PM2.5 pollution but aggravated O-3 pollution in 2020 in comparison with 2016, so did meteorological factors, but with smaller impacts. And anthropogenic influences were more evident in heavily polluted seasons for both PM2.5 and O-3. This research may help understand the influencing factors of PM2.5 and O-3 and provide scientific guide for abatement policies. Moreover, the good consistency in the results obtained from DLNMs and CMAQ indicated the reliability of the two models.
Keyword ：
DLNM DLNM Meteorological effects Meteorological effects PM2.5 and O-3 PM2.5 and O-3 Anthropogenic Anthropogenic
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| GB/T 7714 | Duan, Wenjiao , Wang, Xiaoqi , Cheng, Shuiyuan et al. Influencing factors of PM2.5 and O-3 from 2016 to 2020 based on DLNM and WRF-CMAQ [J]. | ENVIRONMENTAL POLLUTION , 2021 , 285 . |
| MLA | Duan, Wenjiao et al. "Influencing factors of PM2.5 and O-3 from 2016 to 2020 based on DLNM and WRF-CMAQ" . | ENVIRONMENTAL POLLUTION 285 (2021) . |
| APA | Duan, Wenjiao , Wang, Xiaoqi , Cheng, Shuiyuan , Wang, Ruipeng , Zhu, Jiaxian . Influencing factors of PM2.5 and O-3 from 2016 to 2020 based on DLNM and WRF-CMAQ . | ENVIRONMENTAL POLLUTION , 2021 , 285 . |
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Abstract ：
Crop residue open burning has substantial negative effects on air quality, human health, and climate change, and accurate and timely estimates of its air pollutant emissions are essential. Open burning proportion (OBP) is the key parameter in estimating the emission from the crop residue open burning by bottom-up method. However, the OBP is mainly obtained by field investigation, which consumes much time, manpower and financial resources, leading to the OBP data deficient seriously. In this study, the significant logarithmic relations were found between OBP and fire radiative energy (FRE), and then the FRE-based OBP estimation models were developed for different regions of China. The comparison between the FRE-based OBP and the field-investigated OBP illustrated the reliability of the developed models (r = 0.71, NMB = -8% and NME = 25%). The OBPs of different municipalities/provinces in mainland China from 2003 to 2018 were further calculated. The results showed that the estimated OBP variation exhibited fluctuating upward trend with annual mean growth rate of 3.7% from 2003 to 2014, while dramatically decreased with annual mean reduction rate of 5.9% from 2014 to 2018. The estimation accuracy of emission from open biomass burning can also be can be significantly improved by basing on the yearspecific OBP, compared with the calculation based on fixed OBP. The annual PM2.5 emissions would decrease 4.5%-25.9% and increase 6.6%-30.7% in the scenarios of a fixed OBP during 2003-2014 and 2014-2018, respectively. The developed models complemented the severely missing OBP data of mainland China for the first time. By combining the advantages of bottom-up approach and FRE method, the proposed FRE-based models can avoid their disadvantages, and can help to get more accurately and timely emissions from crop residue open burning.
Keyword ：
Emission calculation Emission calculation OBP estimation Model OBP estimation Model Agriculture fire Agriculture fire MODIS MODIS China China
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| GB/T 7714 | Zhou, Ying , Zhang, Yuying , Zhao, Beibei et al. Estimating air pollutant emissions from crop residue open burning through a calculation of open burning proportion based on satellite-derived fire radiative energy [J]. | ENVIRONMENTAL POLLUTION , 2021 , 286 . |
| MLA | Zhou, Ying et al. "Estimating air pollutant emissions from crop residue open burning through a calculation of open burning proportion based on satellite-derived fire radiative energy" . | ENVIRONMENTAL POLLUTION 286 (2021) . |
| APA | Zhou, Ying , Zhang, Yuying , Zhao, Beibei , Lang, Jianlei , Xia, Xiangchen , Chen, Dongsheng et al. Estimating air pollutant emissions from crop residue open burning through a calculation of open burning proportion based on satellite-derived fire radiative energy . | ENVIRONMENTAL POLLUTION , 2021 , 286 . |
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Abstract ：
武安市是以钢铁立市的典型重工业城市.为研究武安市PM2.5的污染特征和区域来源解析,对武安非采暖期(2018年10月)和采暖期(2019年1月)进行大气PM2.5样品的采集和组分测试,并利用CAMx-PSAT模型模拟结果分析区域源排放对武安PM2.5及其二次水溶性无机离子(SO2-4、NO3-、NH4+)的质量浓度贡献.测试结果表明,武安PM2.5污染严重,平均质量浓度为113.5μg/m3,采暖期PM2.5污染水平高于非采暖期;SO2-4、NO3-和NH4+的平均质量浓度占PM2.5总质量浓度的41.1％,是PM2.5重要组成部分;SO2-4、NO3-和NH4+质量浓度表现为采暖期高于非采暖期;NO3-与SO2-4质量浓度比值在采暖期和非采暖期均小于1,表明燃煤烟尘等固定源贡献相对较大;随着PM2.5污染等级的升高,SO2-4、NO3-和NH4+质量浓度明显增大,达到重污染天时,SO2-4、NO3-和NH4+质量浓度增至最高.模拟结果显示,武安城区PM2.5污染是由本地污染源排放和外来污染物区域传输共同作用的结果,本地污染源排放占主导地位;冶金源排放对PM2.5、NO3-和SO2-4质量浓度贡献影响最大;农业源排放是NH4+质量浓度的主要污染来源;采暖期的居民源排放对PM2.5和SO2-4、NO3-、NH4+质量浓度贡献率相比于非采暖期出现大幅度增加.外来工业源和机动车源对武安PM2.5质量浓度贡献较为突出.
Keyword ：
二次水溶性无机离子 二次水溶性无机离子 武安市 武安市 PM2.5 PM2.5 重工业城市 重工业城市 CAMx-PSAT模型 CAMx-PSAT模型 区域来源解析 区域来源解析
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| GB/T 7714 | 姚诗音 , 韩力慧 , 郭改仲 et al. 武安市PM2.5及其二次水溶性无机离子污染特征和区域来源解析 [J]. | 北京工业大学学报 , 2021 , 47 (6) : 644-654 . |
| MLA | 姚诗音 et al. "武安市PM2.5及其二次水溶性无机离子污染特征和区域来源解析" . | 北京工业大学学报 47 . 6 (2021) : 644-654 . |
| APA | 姚诗音 , 韩力慧 , 郭改仲 , 程水源 , 王传达 . 武安市PM2.5及其二次水溶性无机离子污染特征和区域来源解析 . | 北京工业大学学报 , 2021 , 47 (6) , 644-654 . |
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Abstract ：
Ammonia (NH3) discharged from agricultural activities to the atmosphere plays a crucial role in the formation of secondary inorganic aerosols. This study analyzed the temporal-spatial development of agricultural NH3 emissions from 2000 to 2018 in the Beijing-Tianjin-Hebei (BTH) region and assessed the effects of reducing PM2.5 by removing agricultural NH3 using an air quality model. The results showed that the interannual agricultural NH3 emissions in the BTH region exhibited a stairs trend from 2000 to 2018, with an average of 971.63 Gg. In particular, agricultural NH3 emissions in the BTH region reached a maximum in summer when the temperature was high and were more concentrated in the southern plains compared to the northern areas. Under the reduction scenario (RS), the agricultural NH3 emissions in the BTH region in 2015, 2016, 2017, and 2018 were reduced by 2.95%, 4.10%, 18.75%, and 10.21%, resulting in a reduction of 0.5%, 0.5%, 2.5%, and 1.2% of annual mean PM2.5 concentration, respectively, compared with the baseline scenario (BS). Furthermore, agricultural NH3 emissions contributed 12.6, 12.1, 11.9, and 11.3 mu g m(-3) to PM2.5 concentrations in 2015, 2016, 2017, and 2018 under the zero-emission scenario (ZS), respectively. However, the contribution rates exhibited a slightly increasing trend from 20.5% in 2015 to 24.6% in 2018. These findings could provide a new understanding of agricultural NH3 emission trends and their impacts on PM2.5 concentration based on actual NH3 mitigation ratios in recent years, thereby guiding the formulation of future control strategies.
Keyword ：
PM2.5 PM2.5 Ammonia Ammonia Reduction effects Reduction effects Emission trends Emission trends
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| GB/T 7714 | Cheng, Long , Ye, Zhilan , Cheng, Shuiyuan et al. Agricultural ammonia emissions and its impact on PM2.5 concentrations in the Beijing-Tianjin-Hebei region from 2000 to 2018 [J]. | ENVIRONMENTAL POLLUTION , 2021 , 291 . |
| MLA | Cheng, Long et al. "Agricultural ammonia emissions and its impact on PM2.5 concentrations in the Beijing-Tianjin-Hebei region from 2000 to 2018" . | ENVIRONMENTAL POLLUTION 291 (2021) . |
| APA | Cheng, Long , Ye, Zhilan , Cheng, Shuiyuan , Guo, Xiurui . Agricultural ammonia emissions and its impact on PM2.5 concentrations in the Beijing-Tianjin-Hebei region from 2000 to 2018 . | ENVIRONMENTAL POLLUTION , 2021 , 291 . |
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