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学者姓名:陈东升
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Abstract :
Civil aviation transport is a key area of fossil energy consumption and greenhouse gas emission, and it is also an important source of air pollutants; the emissions of these have caused severe environmental problems. In this paper, we estimated the emissions in 235 domestic civil airports, and predicted the future trends of CO2 and air pollutant emissions from civil aviation in China until 2050 under three scenarios. The co-reduced emissions of each measure were evaluated by using the co-control effects coordinate system. The results show that in 2018, the emissions of CO2, NOx, SO2, CO, PM and HC were 117.23 x 10(6) tons, 90.47 x 10(4) tons, 14.37 x 10(4) tons, 9 x 10(4) tons, 1.29 x 10(4) tons and 0.66 x 10(4) tons, respectively. CO2, NOx, SO2 and PM emissions were mainly concentrated in cruise mode, accounting for 87-93% of the total emissions; HC and CO emissions were more frequently from the LTO. Under the baseline scenario, the growth rate of air pollutant emissions will account for a greater share, from 84% in 2030 to 464% in 2050, whereas the general scenario reduces emissions by 15% and 71%, respectively, and a higher reduction of 26% and 93% is seen in the stringent scenario. Improving aviation fuels is the most significant co-reduction measure, which can reduce CO2 by 89% and 68% in 2030 and 2050, and reduce air pollutants by 86-89% and 62-65%, respectively.
Keyword :
CO2 emissions CO2 emissions co-reduction of emissions co-reduction of emissions scenario analysis scenario analysis aviation sector aviation sector air pollutants air pollutants
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GB/T 7714 | Guo, Xiurui , Ning, Chunxiao , Shen, Yaqian et al. Projection of the Co-Reduced Emissions of CO2 and Air Pollutants from Civil Aviation in China [J]. | SUSTAINABILITY , 2023 , 15 (9) . |
MLA | Guo, Xiurui et al. "Projection of the Co-Reduced Emissions of CO2 and Air Pollutants from Civil Aviation in China" . | SUSTAINABILITY 15 . 9 (2023) . |
APA | Guo, Xiurui , Ning, Chunxiao , Shen, Yaqian , Yao, Chang , Chen, Dongsheng , Cheng, Shuiyuan . Projection of the Co-Reduced Emissions of CO2 and Air Pollutants from Civil Aviation in China . | SUSTAINABILITY , 2023 , 15 (9) . |
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Background: ship emissions have an adverse effect on air quality in coastal regions, and this effect can be exacerbated by onshore winds. Objectives and methods: to investigate the impact of ship emissions on air pollutant concentrations during the onshore wind period in a low-latitude region in China, this study applied the WRF/Chem model to simulate the contribution of ship emissions to PM2.5 and O-3 by "zero-out" in 2018, in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). Results/findings: results show that the onshore winds facilitated the transport of ship-emitted pollutants to inland areas, causing the contribution of ship emissions to PM2.5 exceeding 4 mu g/m(3) to areas north of Guangzhou in April and west of the GBA in October. The impact of onshore winds on the ship contribution to the O-3 concentration shows a bidirectional trend both spatially and monthly. The onshore winds raised the ship contribution to O-3 concentrations in April by 1.54 mu g/m(3), while exacerbated the decreasing contribution in other months. In VOC-sensitive cities such as Foshan, onshore winds exacerbated the negative contribution of ship emissions to O-3 concentrations; while in NOx-sensitive cities such as Huizhou, they enhanced the contribution of ship-induced O-3. Novelty/Improvement: this paper fills a gap in the study of pollutants transportation characteristics from ship emissions under the influence of onshore winds in the GBA. Our results demonstrate the importance of considering meteorological conditions and atmospheric chemical mechanisms regarding the coastal air pollution prevention caused by ship emissions.
Keyword :
WRF/Chem WRF/Chem PM2.5 PM2.5 ship emissions ship emissions GBA GBA onshore wind onshore wind
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GB/T 7714 | Cheng, Qinyu , Wang, Xiaotong , Chen, Dongsheng et al. Impact of Ship Emissions on Air Quality in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA): With a Particular Focus on the Role of Onshore Wind [J]. | SUSTAINABILITY , 2023 , 15 (11) . |
MLA | Cheng, Qinyu et al. "Impact of Ship Emissions on Air Quality in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA): With a Particular Focus on the Role of Onshore Wind" . | SUSTAINABILITY 15 . 11 (2023) . |
APA | Cheng, Qinyu , Wang, Xiaotong , Chen, Dongsheng , Ma, Yizhe , Zhao, Ying , Hao, Jianghong et al. Impact of Ship Emissions on Air Quality in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA): With a Particular Focus on the Role of Onshore Wind . | SUSTAINABILITY , 2023 , 15 (11) . |
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China has started to focus on the reduction in pollutants from diesel vehicles with high emission intensities in recent years. Therefore, it is essential and valuable to conduct a deep and detailed exploration of the reduction potential from diesel vehicles and compare the abatement effect from different control measures in upcoming decades. This study attempted to estimate the present emissions of four conventional pollutants from diesel vehicles by applying the Computer Program to Calculate Emissions from Road Transport (COPERT) model, and to predict the future emission trends under different scenarios during 2019-2030, taking the Beijing-Tianjin-Hebei (BTH) region as the case study area. In addition, we analyzed the emission reduction potential of diesel vehicles and compared the reduction effects from different control measures. The results showed that the CO and NOX emissions from diesel vehicles in this region could increase by 104.8% and 83.9%, respectively, given no any additional control measures adopted over the next decade. The largest emission reduction effect could be achieved under the comprehensive scenario, which means that vehicular diesel emissions in 2030 could decrease by 74.8-94.0% compared to values in 2018. The effect of emission reduction under the emission standards' upgrade scenario could cause a gradual increase and achieve a 19.8-82.6% reduction for the four pollutants in 2030. Furthermore, the new energy vehicle promotion scenario could achieve a considerable reduction effect. It could also offer better emission reduction effects under the highway to railway scenario for Tianjin and Hebei provinces. The old vehicle elimination scenario could have a considerable reduction effect, but only in the short term. Furthermore, emission reductions could be mainly influenced by heavy diesel trucks. These results can provide scientific support to formulate effective reduction measures to diesel vehicles for policy makers.
Keyword :
scenario analysis scenario analysis road diesel vehicles road diesel vehicles emission reduction potential emission reduction potential
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GB/T 7714 | Guo, Xiurui , Liu, Yao , Chen, Dongsheng et al. Prediction of Emission Reduction Potential from Road Diesel Vehicles in the Beijing-Tianjin-Hebei (BTH) Region, China [J]. | ATMOSPHERE , 2022 , 13 (5) . |
MLA | Guo, Xiurui et al. "Prediction of Emission Reduction Potential from Road Diesel Vehicles in the Beijing-Tianjin-Hebei (BTH) Region, China" . | ATMOSPHERE 13 . 5 (2022) . |
APA | Guo, Xiurui , Liu, Yao , Chen, Dongsheng , Gong, Xiaoqian . Prediction of Emission Reduction Potential from Road Diesel Vehicles in the Beijing-Tianjin-Hebei (BTH) Region, China . | ATMOSPHERE , 2022 , 13 (5) . |
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Ships, sailing in favorable wind or obstructed by wind, will operate with different output power of the engines, and the exhaust emissions will be different even though the ships are sailing at the same ground speed. In this study, the influence of wind was taken into consideration; the ship emission inventory (0.025 degrees x0.025 degrees) in China of a full year (2014) was reassessed. A speed modification model was employed to figure out the actual output speed of ships by integrating AIS data and the hourly wind. The Weather Research and Forecast (WRF) model was applied to predict the hourly real-time wind field. The spatial and temporal changes in emissions between the results calculated by the proposed method and our previous study were presented. Overall, when considering the influence of wind, the total ship emissions for the year would increase. In this study, the total estimated emissions of SO2, NOx, PM10, PM2.5, HC, and CO in the area were 1.286 x 10(6), 2.583 x 10(6), 2.135x 10(5), 1.967 x 10(5), 1.522 x 10(5), and 3.053 x 10(5) t(metric tons) in 2014, respectively. Under the influence of wind, the proportion of the regions' emissions to the total was close to that of the previous study. For SO2 and NOx, emissions presented significant monthly variations. On a monthly timescale, the difference in emissions was more obvious between the results considering and not considering the wind, relative to that on a yearly basis. This study adjusted the method of ship emission estimation, which modified the ship emission inventory over an hourly timescale.
Keyword :
industrial ecology industrial ecology wind fields wind fields ship emissions ship emissions AIS AIS China China Weather Research and Forecast (WRF) model Weather Research and Forecast (WRF) model
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GB/T 7714 | Fu, Xinyi , Chen, Dongsheng , Guo, Xiurui et al. Improving the estimation of ship emissions using the high-spatiotemporal resolution wind fields simulated by the Weather Research and Forecast model: A case study in China [J]. | JOURNAL OF INDUSTRIAL ECOLOGY , 2022 , 26 (6) : 1871-1881 . |
MLA | Fu, Xinyi et al. "Improving the estimation of ship emissions using the high-spatiotemporal resolution wind fields simulated by the Weather Research and Forecast model: A case study in China" . | JOURNAL OF INDUSTRIAL ECOLOGY 26 . 6 (2022) : 1871-1881 . |
APA | Fu, Xinyi , Chen, Dongsheng , Guo, Xiurui , Lang, Jianlei , Zhou, Ying . Improving the estimation of ship emissions using the high-spatiotemporal resolution wind fields simulated by the Weather Research and Forecast model: A case study in China . | JOURNAL OF INDUSTRIAL ECOLOGY , 2022 , 26 (6) , 1871-1881 . |
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Abstract :
大气PM_(2.5)载带重金属的区域污染特征研究
Keyword :
背景点浓度 背景点浓度 大气PM_(2.5) 大气PM_(2.5) 区域重金属污染 区域重金属污染
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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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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.
Keyword :
Advanced coal stove Advanced coal stove Coal-stove combination Coal-stove combination Emission factors Emission factors Combustion modes Combustion modes 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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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.
Keyword :
scenario prediction scenario prediction industrial VOCs industrial VOCs emission inventory emission inventory distribution distribution
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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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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.
Keyword :
Yangtze River Delta Yangtze River Delta PM2.5 PM2.5 WRF/CMAQ WRF/CMAQ inter-annual meteorological variation inter-annual meteorological variation ship emission ship emission
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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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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
Keyword :
Air quality Air quality Air pollution control Air pollution control Vehicle transmissions Vehicle transmissions Urban transportation Urban transportation
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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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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.
Keyword :
Clean energy deployment Clean energy deployment Emission reductions Emission reductions Health effects Health effects Air quality Air quality
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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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