scholarly journals Air Pollutant Emissions from Vehicles and Their Abatement Scenarios: A Case Study of Chengdu-Chongqing Urban Agglomeration, China

2019 ◽  
Vol 11 (22) ◽  
pp. 6503 ◽  
Author(s):  
Xiaowei Song ◽  
Yongpei Hao ◽  
Xiaodong Zhu
Keyword(s):  
Alternative Energy ◽  
Control Policy ◽  
Air Pollutant ◽  
Urban Agglomeration ◽  
Control Measures ◽  
Pollutant Emissions ◽  
Effective Control ◽  
Vehicular Emissions ◽  
So2 Emissions ◽  
Energy Replacement

Vehicular emissions have become one of the important sources of air pollution, and their effective control is essential to protect the environment. The Chengdu-Chongqing Urban Agglomeration (CCUA), a less developed area located in the southwest of China with higher vehicle population and special topographic features, was selected as the research area. The aims of this study were to establish multi-year vehicular emission inventories for ten important air pollutants in this area and to analyze emission control policy scenarios based on the inventories. The results showed that the ten vehicular pollutant emissions had differences during the past decade, and CO2 and NH3 increased markedly between 1999 and 2015. Chengdu and Chongqing were the dominant contributors of vehicular emissions in the CCUA. Eight scenarios based on these inventories were designed and the alternative energy replacement scenario was studied from the life-cycle perspective. Compared with the business as usual scenario, elimination of substandard vehicles scenario is the most effective policy to control NOx, PM2.5, PM10, and CH4 emissions; the radical alternative energy replacement scenario could decrease the vehicular NMVOC, CO2, N2O, and NH3 emissions; the elimination of motorcycles scenario could decrease the vehicular CO emissions; and the raising fuel standards scenario could reduce vehicular SO2 emissions significantly (by 94.81%). The radical integrated scenario (combining all of the reduction control measures mentioned above) would achieve the maximum emission reduction of vehicular pollutants CO, NMVOC, NOx, PM2.5, PM10, CO2, N2O, and NH3 compared with any scenario alone.

scholarly journals Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China

2019 ◽  
Vol 16 (23) ◽  
pp. 4790 ◽  
Author(s):  
Xiaowei Song ◽  
Yongpei Hao
Keyword(s):  
Control Policy ◽  
Yangtze River Delta ◽  
Pollutant Emissions ◽  
Emission Inventories ◽  
Vehicular Emissions ◽  
So2 Emissions ◽  
Vehicular Emission ◽  
Emission Analysis ◽  
Effective Policy ◽  
The Yangtze River Delta

Vehicular emissions have become an important source of air pollution, and their effective reduction control is essential to protect the environment. The aim of this study was to establish multi-year vehicular emission inventories for ten important air pollutants and to analyze emission control policy scenarios based on these inventories. The inter-annual emission analysis results showed that the ten pollutant emissions had different change trends during the past decade. The emissions of CO, non-methane volatile organic compounds (NMVOCS), NOx, PM2.5, PM10, and CH4 tended to increase first and then decrease, but the years in which they began to decrease varied; the emissions of CO2 and NH3 showed the most significant growth trends, increasing by 567% and 4004% in 2015 compared with 1999, while the emissions of N2O and SO2 showed a general increasing trend and decreased obviously in a certain year. Eight scenarios based on emission inventories were designed; compared with the BAU scenario, the ESV scenario was the most effective policy to control NOx, PM2.5, and CH4 emissions; the radical AER scenario could decrease the vehicular emissions of CO, NMVOCs, PM10, CO2, N2O, and NH3; and the RFS scenario could reduce vehicular SO2 emissions significantly by 93.64%.

scholarly journals Impact of Control Measures on Nitrogen Oxides, Sulfur Dioxide and Particulate Matter Emissions from Coal-Fired Power Plants in Anhui Province, China

Atmosphere ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 35 ◽  
Author(s):  
Haitao Dai ◽  
Dawei Ma ◽  
Renbin Zhu ◽  
Bowen Sun ◽  
Jun He
Keyword(s):  
Particulate Matter ◽  
Sulfur Dioxide ◽  
Nitrogen Oxides ◽  
River Basin ◽  
Power Plants ◽  
Air Pollutant ◽  
Control Measures ◽  
Pollutant Emissions ◽  
Huai River ◽  
The Impact

Anhui is one of the highest provincial emitters of air pollutants in China due to its large coal consumption in coal-fired plants. In this study, the total emissions of nitrogen oxides (NOx), sulfur dioxide (SO2) and particulate matter (PM) from coal-fired power plants in Anhui were investigated to assess the impact of control measures on the atmospheric emissions based upon continuous emission monitoring systems (CEMS). The total NOx, SO2 and PM emissions significantly decreased from 2013 to 2017 and they were estimated at 24.5 kt, 14.8 kt and 3.0 kt in 2017, respectively. The emission reductions of approximately 79.0%, 70.1% and 81.2% were achieved in 2017 compared with a 2013 baseline, respectively, due to the application of high-efficiency emission control measures, including the desulfurization, denitration and dust-removing devices and selective catalytic reduction (SCR). The NOx, SO2 and PM emission intensities were 0.125 g kWh−1, 0.076 g kWh−1 and 0.015 g kWh−1 in 2017, respectively, which were lower than the average of national coal-fired units. The coal-fired units with ≥600 MW generated 80.6% of the total electricity amount while they were estimated to account for 70.5% of total NOx, 70.1% of total SO2 and 71.9% of total PM. Their seasonal emissions showed a significant correlation to the power generation with the maximum correlation found in summer (July and August) and winter (January and December). The major regional contributors are the cities along the Huai River Basin and Yangtze River Basin, such as Huainan, Huaibei, Tongling, Maanshan and Wuhu, and the highest emission occurred in Huainan, accounting for approximately 26–40% of total emission from all the power plants. Our results indicated that the application of desulfurization, denitration and dust-removing devices has played an important role in controlling air pollutant emissions from coal-fired power plants.

scholarly journals The Study of Emission Inventory on Anthropogenic Air Pollutants and Source Apportionment of PM2.5 in the Changzhutan Urban Agglomeration, China

Atmosphere ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 739
Author(s):  
Bin Xu ◽  
Xiangyu You ◽  
Yaoyu Zhou ◽  
Chunhao Dai ◽  
Zhan Liu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Source Apportionment ◽  
Emission Inventory ◽  
Chemical Constituents ◽  
Air Pollutant ◽  
Urban Agglomeration ◽  
Pollutant Emissions ◽  
Industrial Emissions ◽  
Urban Agglomerations

As one of China’s emerging urban agglomerations, the Changzhutan urban area is suffering from regional composite air pollution. Previous studies mainly focus on single cities or world-class urban agglomerations, which cannot provide a scientific basis for air pollution in emerging urban agglomerations. This paper proposes the latest high-resolution emission inventory through the emission factor method and compares the results with the rest of the urban agglomeration. The emission inventory shows that the estimates for sulfur dioxide (SO2), nitrogen oxides (NOX), particulate matter 10 (PM10), particulate matter 2.5 (PM2.5), volatile organic compounds (VOCs), and ammonia (NH3) emission are 132.5, 148.9, 111.6, 56.5, 119.0, and 72.0 kt, respectively. From the 3 × 3 km emission grid, the spatial difference of air pollutant emissions in the Changzhutan urban agglomeration was more obvious, but the overall trend of monthly pollutant discharge was relatively stable. Depending on the source apportionment, SO42−, OC, and NO3− are the main chemical constituents of PM2.5, accounting for 13.06, 8.24, and 4.84 μg/m3, respectively. Simultaneously, industrial emissions, vehicle exhaust, and dust are still three main sources that cannot be ignored. With the support of these data, the results of this study may provide a reference for other emerging urban agglomerations in air quality.

scholarly journals ESP v2.0: enhanced method for exploring emission impacts of future scenarios in the United States – addressing spatial allocation

2015 ◽  
Vol 8 (1) ◽  
pp. 263-300 ◽  
Author(s):  
L. Ran ◽  
D. H. Loughlin ◽  
D. Yang ◽  
Z. Adelman ◽  
B. H. Baek ◽  
...  
Keyword(s):  
Land Use ◽  
Growth Factors ◽  
Air Quality ◽  
Alternative Energy ◽  
Land Use Changes ◽  
The United States ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
County Level ◽  
Air Quality Model

Abstract. The Emission Scenario Projection (ESP) method produces future-year air pollutant emissions for mesoscale air quality modeling applications. We present ESP v2.0, which expands upon ESP v1.0 by spatially allocating future-year emissions to account for projected population and land use changes. In ESP v2.0, US Census Division-level emission growth factors are developed using an energy system model. Regional factors for population-related emissions are spatially disaggregated to the county level using population growth and migration projections. The county-level growth factors are then applied to grow a base-year emission inventory to the future. Spatial surrogates are updated to account for future population and land use changes, and these surrogates are used to map projected county-level emissions to a modeling grid for use within an air quality model. We evaluate ESP v2.0 by comparing US 12 km emissions for 2005 with projections for 2050. We also evaluate the individual and combined effects of county-level disaggregation and of updating spatial surrogates. Results suggest that the common practice of modeling future emissions without considering spatial redistribution over-predicts emissions in the urban core and under-predicts emissions in suburban and exurban areas. In addition to improving multi-decadal emission projections, a strength of ESP v2.0 is that it can be applied to assess the emissions and air quality implications of alternative energy, population and land use scenarios.

scholarly journals Long-term historical trends in air pollutant emissions in Asia: Regional Emission inventory in ASia (REAS) version 3

2020 ◽  
Vol 20 (21) ◽  
pp. 12761-12793 ◽  
Author(s):  
Junichi Kurokawa ◽  
Toshimasa Ohara
Keyword(s):  
Economic Growth ◽  
Growth Rates ◽  
Emission Inventory ◽  
Air Pollutant ◽  
Control Measures ◽  
Pollutant Emissions ◽  
Anthropogenic Sources ◽  
Gridded Data ◽  
Relative Contribution

Abstract. A long-term historical emission inventory of air and climate pollutants in East, Southeast, and South Asia during 1950–2015 was developed as the Regional Emission inventory in ASia version 3 (REASv3). REASv3 provides details of emissions from major anthropogenic sources for each country and its sub-regions and also provides monthly gridded data with 0.25∘ × 0.25∘ resolution. The average total emissions in Asia during 1950–1955 and during 2010–2015 (growth rates in these 60 years estimated from the two averages) are as follows: SO2: 3.2 Tg, 42.4 Tg (13.1); NOx: 1.6 Tg, 47.3 Tg (29.1); CO: 56.1 Tg, 303 Tg (5.4); non-methane volatile organic compounds: 7.0 Tg, 57.8 Tg (8.3); NH3: 8.0 Tg, 31.3 Tg (3.9); CO2: 1.1 Pg, 18.6 Pg (16.5) (CO2 excluding biofuel combustion 0.3 Pg, 16.8 Pg (48.6)); PM10: 5.9 Tg, 30.2 Tg (5.1); PM2.5: 4.6 Tg, 21.3 Tg (4.6); black carbon: 0.69 Tg, 3.2 Tg (4.7); and organic carbon: 2.5 Tg, 6.6 Tg (2.7). Clearly, all the air pollutant emissions in Asia increased significantly during these 6 decades, but situations were different among countries and regions. Due to China's rapid economic growth in recent years, its relative contribution to emissions in Asia has been the largest. However, most pollutant species reached their peaks by 2015, and the growth rates of other species were found to be reduced or almost zero. On the other hand, air pollutant emissions from India showed an almost continuous increasing trend. As a result, the relative ratio of emissions of India to that of Asia has increased recently. The trend observed in Japan was different from the rest of Asia. In Japan, emissions increased rapidly during the 1950s–1970s, which reflected the economic situation of the period; however, most emissions decreased from their peak values, which were approximately 40 years ago, due to the introduction of control measures for air pollution. Similar features were found in the Republic of Korea and Taiwan. In the case of other Asian countries, air pollutant emissions generally showed an increase along with economic growth and motorization. Trends and spatial distribution of air pollutants in Asia are becoming complicated. Data sets of REASv3, including table of emissions by countries and sub-regions for major sectors and fuel types, and monthly gridded data with 0.25∘ × 0.25∘ resolution for major source categories are available through the following URL: https://www.nies.go.jp/REAS/index.html (last access: 31 October 2020).

scholarly journals Science–Policy Interplay: Improvement of Air Quality from 2008 to 2014 in Beijing and the Scientific Approach to Achieve APEC Blue

2016 ◽  
Vol 97 (4) ◽  
pp. 553-559 ◽  
Author(s):  
Zhanshan Wang ◽  
Yunting Li ◽  
Tian Chen ◽  
Dawei Zhang ◽  
Lingjun Li ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Control ◽  
Control Policy ◽  
Air Pollutant ◽  
Control Measures ◽  
Asia Pacific ◽  
Great Effort ◽  
Air Pollution Control ◽  
Scientific Approach

Abstract The Beijing government has made great effort to solve the air pollution problem in recent years. In this paper, the major air pollution control measures and the air quality improvement from 2008 to 2014 in Beijing were represented. With the implementation of a series of unconventional and high–air pollutant reduction measures in Beijing and the surrounding area, good air quality during both the 2008 Olympic Games and the 2014 Asia–Pacific Economic Cooperation (APEC) conference was guaranteed. Notably, a new scientific approach was applied to formulate air pollution control policy during the APEC conference. In addition to the established measures, two periods of enhanced and targeted reduction measures were implemented according to the forecast in advance. Finally, suggestions for improving air quality in Beijing were offered on the basis of the monitoring results and analyses during the APEC conference.

scholarly journals Carbon Neutrality Pathways Effects on Air Pollutant Emissions: The Portuguese Case

Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 324
Author(s):  
Joana Monjardino ◽  
Luís Dias ◽  
Patrícia Fortes ◽  
Hugo Tente ◽  
Francisco Ferreira ◽  
...  
Keyword(s):  
Ghg Emissions ◽  
Cost Effective ◽  
Air Pollutant ◽  
Control Measures ◽  
Pollutant Emissions ◽  
Climate Mitigation ◽  
Carbon Neutrality ◽  
Positive Effects ◽  
Trade Offs ◽  
End Use

Air pollution and climate change are closely interlinked, once both share common emission sources, which mainly arise from fuel combustion and industrial processes. Climate mitigation actions bring co-benefits on air quality and human health. However, specific solutions can provide negative trade-offs for one side. The Portuguese Carbon Neutrality Roadmap was developed to assess conceivable cost-effective pathways to achieve zero net carbon emissions by 2050. Assessing its impacts, on air pollutant emissions, is the main focus of the present work. The bottom-up linear optimization energy system the integrated MARKAL-EFOM system (TIMES) model was selected as a modeling tool for the decarbonization scenarios assessment. The estimation of air pollutant emissions was performed exogenously to the TIMES model. Results show that reaching net zero greenhouse gas (GHG) emissions is possible, and technologically feasible, in Portugal, by 2050. The crucial and most cost-effective vector for decarbonizing the national economy is the end-use energy consumption electrification, renewable based, across all end-use sectors. Decarbonization efforts were found to have strong co-benefits for reducing air pollutant emissions in Portugal. Transport and power generation are the sectors with the greatest potential to reduce GHG emissions, providing likewise the most significant reductions of air pollutant emissions. Despite the overall positive effects, there are antagonistic effects, such as the use of biomass, mainly in industry and residential sectors, which translates into increases in particulate matter emissions. This is relevant for medium term projections, since results show that, by 2030, PM2.5 emissions are unlikely to meet the emission reduction commitments set at the European level, if no additional control measures are considered.

scholarly journals Changes in global air pollutant emissions during the COVID-19 pandemic: a dataset for atmospheric modeling

2021 ◽  
Vol 13 (8) ◽  
pp. 4191-4206 ◽  
Author(s):  
Thierno Doumbia ◽  
Claire Granier ◽  
Nellie Elguindi ◽  
Idir Bouarar ◽  
Sabine Darras ◽  
...  
Keyword(s):  
South America ◽  
Eastern China ◽  
Atmospheric Modeling ◽  
Air Pollutant ◽  
Control Measures ◽  
The Other ◽  
Atmospheric Pollutants ◽  
Pollutant Emissions ◽  
Adjustment Factors ◽  
The Impact

Abstract. In order to fight the spread of the global COVID-19 pandemic, most of the world's countries have taken control measures such as lockdowns during a few weeks to a few months. These lockdowns had significant impacts on economic and personal activities in many countries. Several studies using satellite and surface observations have reported important changes in the spatial and temporal distributions of atmospheric pollutants and greenhouse gases. Global and regional chemistry-transport model studies are being performed in order to analyze the impact of these lockdowns on the distribution of atmospheric compounds. These modeling studies aim at evaluating the impact of the regional lockdowns at the global scale. In order to provide input for the global and regional model simulations, a dataset providing adjustment factors (AFs) that can easily be applied to current global and regional emission inventories has been developed. This dataset provides, for the January–August 2020 period, gridded AFs at a 0.1×0.1 latitude–longitude degree resolution on a daily or monthly basis for the transportation (road, air and ship traffic), power generation, industry and residential sectors. The quantification of AFs is based on activity data collected from different databases and previously published studies. A range of AFs are provided at each grid point for model sensitivity studies. The emission AFs developed in this study are applied to the CAMS global inventory (CAMS-GLOB-ANT_v4.2_R1.1), and the changes in emissions of the main pollutants are discussed for different regions of the world and the first 6 months of 2020. Maximum decreases in the total emissions are found in February in eastern China, with an average reduction of 20 %–30 % in NOx, NMVOCs (non-methane volatile organic compounds) and SO2 relative to the reference emissions. In the other regions, the maximum changes occur in April, with average reductions of 20 %–30 % for NOx, NMVOCs and CO in Europe and North America and larger decreases (30 %–50 %) in South America. In India and African regions, NOx and NMVOC emissions are reduced on average by 15 %–30 %. For the other species, the maximum reductions are generally less than 15 %, except in South America, where large decreases in CO and BC (black carbon) are estimated. As discussed in the paper, reductions vary highly across regions and sectors due to the differences in the duration of the lockdowns before partial or complete recovery. The dataset providing a range of AFs (average and average ± standard deviation) is called CONFORM (COvid-19 adjustmeNt Factors fOR eMissions) (https://doi.org/10.25326/88; Doumbia et al., 2020). It is distributed by the Emissions of atmospheric Compounds and Compilation of Ancillary Data (ECCAD) database (https://eccad.aeris-data.fr/, last access: 23 August 2021).

scholarly journals Changes in global air pollutant emissions during the COVID-19 pandemic: a dataset for atmospheric chemistry modeling

2021 ◽  
Author(s):  
Thierno Doumbia ◽  
Claire Granier ◽  
Nellie Elguindi ◽  
Idir Bouarar ◽  
Sabine Darras ◽  
...  
Keyword(s):  
South America ◽  
Atmospheric Chemistry ◽  
Transport Model ◽  
Eastern China ◽  
Air Pollutant ◽  
Control Measures ◽  
Atmospheric Pollutants ◽  
Pollutant Emissions ◽  
The World ◽  
The Impact

Abstract. In order to fight the spread of the global COVID-19 pandemic, most of the world countries have taken control measures such as lockdowns during a few weeks to a few months. These lockdowns had significant impacts on economic and personal activities in many countries. Several studies using satellite and surface observations have reported important changes in the spatial and temporal distributions of atmospheric pollutants and greenhouse gases. Global and regional chemistry-transport model studies are being performed in order to analyze the impact of these lockdowns on the distribution of atmospheric compounds. These modeling studies aim at evaluating the impact of the regional lockdowns at the global scale. In order to provide input for the global and regional model simulations, a dataset providing adjustment factors (AFs) that can easily be applied to global and regional emission inventories has been developed. This dataset provides, for the January–August 2020 period, gridded AFs at a 0.1 × 0.1 latitude/longitude degree resolution, on a daily or monthly basis for the transportation (road, air and ship traffic), power generation, industry and residential sectors. The quantification of AFs is based on activity data collected from different databases and previously published studies. A range of AFs is provided at each grid point for model sensitivity studies. The emission AFs developed in this study are applied to the CAMS global inventory (CAMS-GLOB-ANT_v4.2_R1.1), and the changes in emissions of the main pollutants are discussed for different regions of the world and the first six months of 2020. Maximum decreases in the emissions are found in February in Eastern China, with an average reduction of 20–30 % in NOx, NMVOCs and SO2 relative to the reference emissions. In the other regions, the maximum changes occur in April, with average reductions of 20–30 % for NOx, NMVOCs and CO in Europe and North America and larger decreases (30–50 %) in South America. In India and African regions, NOx and NMVOCs emissions are reduced by 15–30 %. For the others species, the maximum reductions are generally less than 15 %, except in South America, where large decreases in CO and BC are estimated. As discussed in the paper, reductions vary highly across regions and sectors, due to the differences in the duration of the lockdowns before partial or complete recovery. The dataset providing a range of AFs (average and average ± standard deviation) is called CONFORM (COvid adjustmeNt Factor fOR eMissions) (https://doi.org/10.25326/88). It is distributed by the Emissions of atmospheric Compounds and Compilation of Ancillary Data (ECCAD) database (https://eccad.aeris-data.fr/).

Sign in / Sign up

Export Citation Format

Share Document