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大气PM2.5载带重金属的区域污染特征研究 CSCD
期刊论文 | 2021 , 34 (4) , 849-862 | 环境科学研究
摘要&关键词 引用

摘要 :

PM2.5载带的重金属元素对人体健康具有重要影响,为了明确PM2.5中重金属的污染水平以及区域性污染特征,收集并总结近30年中国不同地区大气重金属污染的研究成果,对PM2.5载带的As、Zn、Cr(Ⅵ)、Pb、Cd、Mn以及Ni等7种重金属元素的区域污染特征进行分析.研究显示:①我国对部分重金属〔Pb、Cd、Hg、As、Cr(Ⅵ)〕的质量浓度增设限值规定,但未涉及Ni和Mn等有毒重金属.②全国范围来看,不同背景点PM2.5中重金属质量浓度相差较大,自然背景点重金属质量浓度低于乡村背景点和近城市背景点的40.7%~97.6%.大气PM2.5重金属区域污染高值区主要集中在华北、华东、华南等经济发达地区.《大气污染防治行动计划》等政策的实施使PM2.5中重金属质量浓度明显下降,2013年前(1980—2013年)与2013年后(2013—2018年)相比,全国大气PM2.5中ρ〔Cr(Ⅵ)〕、ρ(Ni)、ρ(Pb)、ρ(Mn)和ρ(As)均有所下降,但ρ(Zn)、ρ(Cd)略有上升.③典型城市PM2.5中重金属污染特征各不相同.北京市需考虑Cd、As排放情况,强化对燃煤源的管控;上海市和广州市应关注Cr(Ⅵ)和Ni的排放,加严工业污染治理,加强对港口的排放管控.研究显示,对于大气颗粒物中重金属的治理,建议进一步关注对As、Cr(Ⅵ)排放的控制,同时对不同区域的大气重金属污染需要选择差异化的污染控制措施.

关键词 :

区域重金属污染 区域重金属污染 大气PM2.5 大气PM2.5 背景点浓度 背景点浓度

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GB/T 7714 王橹玺 , 李慧 , 张文杰 et al. 大气PM2.5载带重金属的区域污染特征研究 [J]. | 环境科学研究 , 2021 , 34 (4) : 849-862 .
MLA 王橹玺 et al. "大气PM2.5载带重金属的区域污染特征研究" . | 环境科学研究 34 . 4 (2021) : 849-862 .
APA 王橹玺 , 李慧 , 张文杰 , 齐剑英 , 田贺忠 , 黄侃 et al. 大气PM2.5载带重金属的区域污染特征研究 . | 环境科学研究 , 2021 , 34 (4) , 849-862 .
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大气PM_(2.5)载带重金属的区域污染特征研究 CQVIP
期刊论文 | 2021 , 34 (4) , 849-862 | 王橹玺
摘要&关键词 引用

摘要 :

大气PM_(2.5)载带重金属的区域污染特征研究

关键词 :

区域重金属污染 区域重金属污染 大气PM_(2.5) 大气PM_(2.5) 背景点浓度 背景点浓度

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GB/T 7714 王橹玺 , 李慧 , 张文杰 et al. 大气PM_(2.5)载带重金属的区域污染特征研究 [J]. | 王橹玺 , 2021 , 34 (4) : 849-862 .
MLA 王橹玺 et al. "大气PM_(2.5)载带重金属的区域污染特征研究" . | 王橹玺 34 . 4 (2021) : 849-862 .
APA 王橹玺 , 李慧 , 张文杰 , 齐剑英 , 田贺忠 , 黄侃 et al. 大气PM_(2.5)载带重金属的区域污染特征研究 . | 王橹玺 , 2021 , 34 (4) , 849-862 .
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Quantification of reduced disease burden resulting from air quality improvement by clean energy deployment in Hebei Province, China SCIE SSCI
期刊论文 | 2021 , 159 | ENERGY POLICY
WoS核心集被引次数: 4
摘要&关键词 引用

摘要 :

The implementation of China's clean energy deployment policies has produced considerable benefits of ambient air quality improvement as well as the corresponding reduction of disease burden. However, few studies have focused on their quantification. In this study, we developed an integrated evaluation framework to assess the benefit of reduced disease burden resulting from the air quality improvement after the deployment of clean energy in Hebei Province, China. It was found that the pollutant emissions could be reduced by 18-45% and 33-66% under the General Policy (GP) and Strengthen Policy (SP) scenarios in 2030. The household sector has the largest reduction potential for all pollutant emissions, followed by the power sector with a considerable reduction effect on SO2 and NOx. The annual mean PM2.5 concentration was estimated to decrease from 52 mu g m- 3 under the Business as Usual (BAU) scenario to 40 mu g m- 3 under the SP scenario in 2030. Consequently, the disease burden due to air pollution would be reduced by 7499 and 12260 cases, respectively, under the GP and SP scenarios in 2030. Our study confirmed the effectiveness of clean energy deployment policies, and could provide scientific support and significant information to policymakers.

关键词 :

Air quality Air quality Clean energy deployment Clean energy deployment Emission reductions Emission reductions Health effects Health effects

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GB/T 7714 Guo, Xiurui , Shen, Yaqian , Chen, Dongsheng et al. Quantification of reduced disease burden resulting from air quality improvement by clean energy deployment in Hebei Province, China [J]. | ENERGY POLICY , 2021 , 159 .
MLA Guo, Xiurui et al. "Quantification of reduced disease burden resulting from air quality improvement by clean energy deployment in Hebei Province, China" . | ENERGY POLICY 159 (2021) .
APA Guo, Xiurui , Shen, Yaqian , Chen, Dongsheng , Zhao, Lijuan , Tian, Xiaolei . Quantification of reduced disease burden resulting from air quality improvement by clean energy deployment in Hebei Province, China . | ENERGY POLICY , 2021 , 159 .
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Improved estimation of rural residential coal emissions considering coal-stove combinations and combustion modes. PubMed
期刊论文 | 2021 , 272 , 115558 | Environmental pollution
摘要&关键词 引用

摘要 :

Rural residential coal combustion (RRCC) has detrimental effects on air quality, climate, and human health. There are large uncertainties regarding emissions from RRCC owing to the lack of consideration of several key factors (e.g. combination modes of coal and stoves, combustion modes, and high temporal resolution). In this study, we provided a new estimation framework for RRCC emissions through a case study in the Beijing-Tianjin-Hebei (BTH) region, China. The emission estimations were improved according to four aspects, namely (1) coal-specific and stove-specific coal consumption was calculated based on face-to-face field interviews of 6700 valid volunteers/households covering 288 villages in 50 counties; (2) the influences of combustion modes (flaming and smoldering modes) on emissions were considered; (3) emissions of different fuel-stove combinations were estimated based on coal, stove, and combustion mode-specific RRCC consumption and localised emission factors; and (4) a method for emission estimation with high temporal resolution (1 h) was developed. The results indicated that RRCC emitted 413.6 kt SO2, 55.7 kt NOx, 5717.3 kt CO, 149.4 kt VOCs, 167.1 kt PM2.5, 18.2 kt EC, 32.5 kt OC, and 8.2 kt NH3 in 2016. The combination of bituminous coal and an advanced coal stove was the most significant contributor (20.7-71.8%) to various pollutant emissions. Coal combusted under the flaming mode contributed to most (81.9%) of the total coal consumption, and thus emitted the majority (50.8-99.8%) of pollutants, except for VOCs. Meanwhile, that under the smoldering mode only accounted for 18.1% of the total consumption, but contributed 49.2% and 74.7% of the CO and VOCs emissions, respectively. Two clear emission peaks occurred at approximately 7:00-9:00 and 18:00-20:00. The detailed coal consumption and emissions with high temporal and spatial resolution can provide sound data for further research on rural environmental issues and scientific support to pollution control strategies.

关键词 :

Advanced coal stove Advanced coal stove Coal-stove combination Coal-stove combination Combustion modes Combustion modes Emission factors Emission factors Rural coal emissions Rural coal emissions

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GB/T 7714 Zhou Ying , Huang Dawei , Lang Jianlei et al. Improved estimation of rural residential coal emissions considering coal-stove combinations and combustion modes. [J]. | Environmental pollution , 2021 , 272 : 115558 .
MLA Zhou Ying et al. "Improved estimation of rural residential coal emissions considering coal-stove combinations and combustion modes." . | Environmental pollution 272 (2021) : 115558 .
APA Zhou Ying , Huang Dawei , Lang Jianlei , Zi Teng , Chen Dongsheng , Zhang Yuying et al. Improved estimation of rural residential coal emissions considering coal-stove combinations and combustion modes. . | Environmental pollution , 2021 , 272 , 115558 .
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Estimation and Prediction of Industrial VOC Emissions in Hebei Province, China SCIE
期刊论文 | 2021 , 12 (5) | ATMOSPHERE
WoS核心集被引次数: 9
摘要&关键词 引用

摘要 :

The study of industrial volatile organic compound (VOC) emission inventories is essential for identifying VOC emission levels and distribution. This paper established an industrial VOC emission inventory in 2015 for Hebei Province and completed an emission projection for the period 2020-2030. The results indicated that the total emissions of industrial VOCs in 2015 were 1017.79 kt. The use of VOC products accounted for more than half of the total. In addition, the spatial distribution characteristics of the industrial VOC emissions were determined using a geographic information statistics system (GIS), which showed that the VOCs were mainly distributed the central and southern regions of Hebei. Considering the future economic development trends, population changes, related environmental laws and regulations, and pollution control technology, three scenarios were defined for forecasting the industrial VOC emissions in future years. This demonstrated that industrial VOC emissions in Hebei would amount to 1448.94 kt and 2203.66 kt in 2020 and 2030, with growth rates of 42.36% and 116.51% compared with 2015, respectively. If all industrial enterprises took the control measures, the VOC emissions could be reduced by 69% in 2030. The analysis of the scenarios found that the most effective action plan was to take the best available control technologies and clean production in key industries, including the chemical medicine, coke production, mechanical equipment manufacturing, organic chemical, packaging and printing, wood adhesive, industrial and construction dye, furniture manufacturing, transportation equipment manufacturing, and crude oil processing industries.

关键词 :

distribution distribution emission inventory emission inventory industrial VOCs industrial VOCs scenario prediction scenario prediction

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GB/T 7714 Guo, Xiurui , Shen, Yaqian , Liu, Wenwen et al. Estimation and Prediction of Industrial VOC Emissions in Hebei Province, China [J]. | ATMOSPHERE , 2021 , 12 (5) .
MLA Guo, Xiurui et al. "Estimation and Prediction of Industrial VOC Emissions in Hebei Province, China" . | ATMOSPHERE 12 . 5 (2021) .
APA Guo, Xiurui , Shen, Yaqian , Liu, Wenwen , Chen, Dongsheng , Liu, Junfang . Estimation and Prediction of Industrial VOC Emissions in Hebei Province, China . | ATMOSPHERE , 2021 , 12 (5) .
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The Temporal and Spatial Changes of Ship-Contributed PM2.5 Due to the Inter-Annual Meteorological Variation in Yangtze River Delta, China SCIE
期刊论文 | 2021 , 12 (6) | ATMOSPHERE
WoS核心集被引次数: 7
摘要&关键词 引用

摘要 :

Ship-exhausted air pollutants could cause negative impacts on air quality, climate change, and human health. Increasing attention has been paid to investigate the impact of ship emissions on air quality. However, the conclusions are often based on a specific year, the extent to which the inter-annual variation in meteorological conditions affects the contribution is not yet fully addressed. Therefore, in this study, the Weather Research and Forecast model and the Community Multiscale Air Quality model(WRF/CMAQ) were employed to investigate the inter-annual variations in ship-contributed PM2.5 from 2010 to 2019. The Yangtze River Delta (YRD) region in China was selected as the target study area. To highlight the impact of inter-annual meteorological variations, the emission inventory and model configurations were kept the same for the 10-year simulation. We found that: (1) inter-annual meteorological variation had an evident impact on the ship-contributed PM2.5 in most coastal cities around YRD. Taking Shanghai as an example, the contribution varied between 3.05 and 5.74 mu g/m(3), with the fluctuation rate of similar to 65%; (2) the inter-annual changes in ship's contribution showed a trend of almost simultaneous increase and decrease for most cities, which indicates that the impact of inter-annual meteorological variation was more regional than local; (3) the inter-annual changes in the northern part of YRD were significantly higher than those in the south; (4) the most significant inter-annual changes were found in summer, followed by spring, fall and winter.

关键词 :

inter-annual meteorological variation inter-annual meteorological variation PM2.5 PM2.5 ship emission ship emission WRF/CMAQ WRF/CMAQ Yangtze River Delta Yangtze River Delta

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GB/T 7714 Chen, Dongsheng , Liang, Dingyue , Li, Lei et al. The Temporal and Spatial Changes of Ship-Contributed PM2.5 Due to the Inter-Annual Meteorological Variation in Yangtze River Delta, China [J]. | ATMOSPHERE , 2021 , 12 (6) .
MLA Chen, Dongsheng et al. "The Temporal and Spatial Changes of Ship-Contributed PM2.5 Due to the Inter-Annual Meteorological Variation in Yangtze River Delta, China" . | ATMOSPHERE 12 . 6 (2021) .
APA Chen, Dongsheng , Liang, Dingyue , Li, Lei , Guo, Xiurui , Lang, Jianlei , Zhou, Ying . The Temporal and Spatial Changes of Ship-Contributed PM2.5 Due to the Inter-Annual Meteorological Variation in Yangtze River Delta, China . | ATMOSPHERE , 2021 , 12 (6) .
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Understanding the impact of vehicular emissions on air pollution from the perspective of regional transport: A case study of the Beijing-Tianjin-Hebei region in China EI
期刊论文 | 2021 , 785 | Science of the Total Environment
摘要&关键词 引用

摘要 :

Motor vehicles are recognised as important contributors to urban air pollution. However, few studies have focused on their contribution from the point of view of regional transport. To address this gap, the validated WRF-CAMx-PSAT modelling system was applied to quantitatively evaluate the impact of vehicular emissions on air pollution in the Beijing-Tianjin-Hebei (BTH) region of China in 2014. We found that although motor vehicle is a near-surface source, it can significantly influence the air quality through regional transmission, especially with respect to atmospheric PM2.5 and NO3− during haze days. The fraction of non-local emissions to the overall vehicular emission contribution was 45.2% and 60.3% for PM2.5 and NO3−, respectively. Furthermore, the regional transport of vehicular emissions played an increased significant role in contributing toward air pollution on haze days. The contribution of non-local vehicular emissions to atmospheric PM2.5 and NO3− from non-haze to haze days increased by 38% and 27%, respectively. An 8.01 times change in the per unit (104 ton) vehicular emission contribution (PVEC) of non-local emissions from non-haze to haze days for NO3− indicated that the control of non-local vehicular emissions can be more effective for the mitigation of NO3− pollution, as compared to the mitigation of undifferentiated emissions from different sources. An obvious power function relationship was found between the PVEC and transport distance. Attenuation index was defined to analyse the degree of attenuation of pollutants with distance. An obvious decrease in the attenuation coefficient from non-haze to haze days for NO3− indicated that the regional transport of NO3− was more prominent on haze days from vehicular emission. Thus, this study can provide new knowledge for understanding the environmental impact of vehicular emissions. In addition, the results can provide a scientific basis for formulating effective regional coordination control strategies for air pollution. © 2021

关键词 :

Air pollution control Air pollution control Air quality Air quality Urban transportation Urban transportation Vehicle transmissions Vehicle transmissions

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GB/T 7714 Lang, Jianlei , Liang, Xiaoyu , Li, Shengyue et al. Understanding the impact of vehicular emissions on air pollution from the perspective of regional transport: A case study of the Beijing-Tianjin-Hebei region in China [J]. | Science of the Total Environment , 2021 , 785 .
MLA Lang, Jianlei et al. "Understanding the impact of vehicular emissions on air pollution from the perspective of regional transport: A case study of the Beijing-Tianjin-Hebei region in China" . | Science of the Total Environment 785 (2021) .
APA Lang, Jianlei , Liang, Xiaoyu , Li, Shengyue , Zhou, Ying , Chen, Dongsheng , Zhang, Yanyun et al. Understanding the impact of vehicular emissions on air pollution from the perspective of regional transport: A case study of the Beijing-Tianjin-Hebei region in China . | Science of the Total Environment , 2021 , 785 .
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Impact of inter-annual meteorological variation from 2001 to 2015 on the contribution of regional transport to PM2.5 in Beijing, China SCIE
期刊论文 | 2021 , 260 | ATMOSPHERIC ENVIRONMENT
WoS核心集被引次数: 18
摘要&关键词 引用

摘要 :

Particles with an aerodynamic diameter of 2.5 mu m or less (PM2.5) in the ambient air are affected not only by local emissions but also by regional transport of the pollutant and its precursors, which may vary considerably under different meteorological conditions. This issue has been extensively investigated in terms of the contribution of regional transport to PM2.5 at different seasons in a specific year. However, the literature yields conflicting results, and the extent to which inter-annual meteorological variation affects the contribution of regional transport is not fully understood, especially in the long-term. Therefore, in this study, the WRF/CMAQ model was employed to investigate inter-annual variations in the contribution of regional transport to PM2.5 concentration in Beijing from 2001 to 2015. The emission inventory and model configurations were kept the same for the 15year simulation to highlight the impact of inter-annual meteorological variations. The major findings can be summarized as follows: (1) inter-annual meteorological variation has an impact on both the PM2.5 concentration in Beijing and the contribution of regional transport; (2) the annual average PM2.5 concentrations in Beijing varied during the study period, from 75.3 mu g/m(3) in 2002 to 108.1 mu g/m(3) in 2003; (3) the years with high annual anomalies of PM2.5 was found during periods of low wind speed, high relative humidity, and low planetary boundary layer (PBL) height; (4) the annual variability was relatively small compared to the changes in seasonal because some seasons in a year are higher than their historical average values, and some are lower, which often negate each other, making the annual average close to the historical average; (5) the contribution of regional transport averaged 44.5% and ranged from 40.7% in 2007 to 48.5% in 2001. On a seasonal basis, the interannual fluctuation was more significant, with fluctuation rates of 43.0%, 25.5%, 25.0%, and 20.6% in winter, fall, spring, and summer, respectively; and (6) in general, there is a good positive correlation between the regional contribution and PM2.5 concentration in Beijing. Specifically, when the regional transport contribution is large, the PM2.5 concentration tends to be higher. This is especially true during years when both the concentration and contribution deviate significantly from the historical average.

关键词 :

Contribution of regional transport Contribution of regional transport Inter-annual meteorological variation Inter-annual meteorological variation PM2.5 PM2.5 WRF/CMAQ WRF/CMAQ

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GB/T 7714 Chen, Dongsheng , Xia, Lin , Guo, Xiurui et al. Impact of inter-annual meteorological variation from 2001 to 2015 on the contribution of regional transport to PM2.5 in Beijing, China [J]. | ATMOSPHERIC ENVIRONMENT , 2021 , 260 .
MLA Chen, Dongsheng et al. "Impact of inter-annual meteorological variation from 2001 to 2015 on the contribution of regional transport to PM2.5 in Beijing, China" . | ATMOSPHERIC ENVIRONMENT 260 (2021) .
APA Chen, Dongsheng , Xia, Lin , Guo, Xiurui , Lang, Jianlei , Zhou, Ying , Wei, Lin et al. Impact of inter-annual meteorological variation from 2001 to 2015 on the contribution of regional transport to PM2.5 in Beijing, China . | ATMOSPHERIC ENVIRONMENT , 2021 , 260 .
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Estimating air pollutant emissions from crop residue open burning through a calculation of open burning proportion based on satellite-derived fire radiative energy SCIE
期刊论文 | 2021 , 286 | ENVIRONMENTAL POLLUTION
WoS核心集被引次数: 19
摘要&关键词 引用

摘要 :

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.

关键词 :

Agriculture fire Agriculture fire China China Emission calculation Emission calculation MODIS MODIS OBP estimation Model OBP estimation Model

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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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Trends in ammonia emissions from light-duty gasoline vehicles in China, 1999-2017 SCIE
期刊论文 | 2020 , 700 | SCIENCE OF THE TOTAL ENVIRONMENT
WoS核心集被引次数: 31
摘要&关键词 引用

摘要 :

Ammonia (NH3) emitted from motor vehicles is a by-product of measures taken to reduce emissions of other pollutants (e.g. NOx and CO) and has potentially important environmental impacts. NH3 levels can be impacted by various emission standards. However, there is a lack of investigations of the influences from the implementation of different vehicular emission standards on long-term changes in NH3 emissions. To fill this gap, we estimated the inter-annual NH3 emissions of light-duty gasoline vehicles (LDGVs) under different emission standards (State 0 to State V) from 1999 to 2017 and investigated the emission change characteristics under the rapidly developing Chinese economy. Results showed that the NH3 emissions from LDGVs had a sharp, 42-fold increase (from 1.8 Gg to 77.9 Gg). However, NH3 emissions per capita have begun to decrease with increases in socioeconomic development, presenting an inverted U-shaped tendency as a function of per capita GDP. Further exploration indicated that the decline in emission factors, as determined by upgrades in emission standards, was the decisive factor in promoting the downward trend in per capita emissions. This suggests that continuously upgrading emission standards has offset the increase in NH3 emissions due to the rapid growth of motor vehicles. Quantitative scenario analysis showed a two-stage impact of emission standards on NH3 emissions: emissions would decrease 77% (48%-90% for different years) if State I and State II were not implemented; while if none of standards were upgraded (State III to State V), NH3 emissions would increase 118% (13%-224% for different years), 2-6 times the impacts from the growth of vehicle population and the decline of vehicle kilometres traveled. The data and findings in this study can provide scientific support for understanding air pollution in urban areas and for formulating further vehicle pollution mitigation measures in China and other countries. (C) 2019 Elsevier B.V. All rights reserved.

关键词 :

Change trends Change trends Driving factors Driving factors Emission standards Emission standards Vehicular NH3 emissions Vehicular NH3 emissions

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GB/T 7714 Li, Shengyue , Lang, Jianlei , Zhou, Ying et al. Trends in ammonia emissions from light-duty gasoline vehicles in China, 1999-2017 [J]. | SCIENCE OF THE TOTAL ENVIRONMENT , 2020 , 700 .
MLA Li, Shengyue et al. "Trends in ammonia emissions from light-duty gasoline vehicles in China, 1999-2017" . | SCIENCE OF THE TOTAL ENVIRONMENT 700 (2020) .
APA Li, Shengyue , Lang, Jianlei , Zhou, Ying , Liang, Xiaoyu , Chen, Dongsheng , Wei, Peng . Trends in ammonia emissions from light-duty gasoline vehicles in China, 1999-2017 . | SCIENCE OF THE TOTAL ENVIRONMENT , 2020 , 700 .
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