A high-resolution air pollutants emission inventory in 2013 for the Beijing-Tianjin-Hebei region, China

2017 ◽  
Vol 170 ◽  
pp. 156-168 ◽  
Author(s):  
Ji Qi ◽  
Bo Zheng ◽  
Meng Li ◽  
Fang Yu ◽  
Chuchu Chen ◽  
...  
Keyword(s):  
High Resolution ◽  
Air Pollutants ◽  
Emission Inventory ◽  
Pollutants Emission

Gridded Emission Inventory of Criteria Air Pollutants for National Capital Territory, Delhi

2020 ◽  
Author(s):  
Rahul Chaurasia ◽  
Manju Mohan
Keyword(s):  
Air Pollution ◽  
Spatial Distribution ◽  
High Resolution ◽  
Power Plant ◽  
Population Density ◽  
Air Pollutants ◽  
Emission Inventory ◽  
Road Density ◽  
Criteria Air Pollutants ◽  
National Capital

<p>The megacities of the world are experiencing a punishing level of air pollution where primary sources of emissions are industrial, residential and transportation. Delhi is also no exception and had been worst performing in terms of air quality and air pollution. In this backdrop, a high-resolution emission inventory becomes an essential tool to predict and forecast pollutant concentration along with the assessment of the impact of various government policies. This study aims to prepare a high-resolution gridded emission inventory (1km*1km) of criteria air pollutants (PM10, PM2.5, NO<sub>2</sub>, SO<sub>2 </sub>and CO) for Delhi-NCT (National Capital Territory).  The bottom-up gridded emission inventory has been prepared taking account of population density, land use pattern and socio-economic status. The emission from all the primary sectors has been taken into accounts such as transport, residential burning, industries, power plants, and municipal solid waste burning.  The emissions are estimated using emission factors and activity data for each sector. The emission factor for various fuel type burning is taken from CPCB (Central Pollution Control Board) reports and previous literature. Data corresponding to various sectors such as the amount of fuel consumed, population density, road density, traffic congestion points, industrial location, unauthorized colonies, slums, and total solid waste generation has been acquired from various government bodies, reports, and literature. The result reveals that the total estimated emissions from transportation, industries and domestic sector contribute nearly 72%, 60%, 52% of NOx, SO2 and PM10 emission respectively.  The transport sector has been found as the bulk contributor towards CO and NOx emissions. Domestic sector and Power plant emission have been found to be a bulk contributor of CO and SO2. Later, the spatial distribution of the emission is done using GIS technique (Arc-GIS). For spatial distribution of emission, district-wise population data, road density data, power plant location and digitization of the road network was carried out.</p>

A regional high-resolution emission inventory of primary air pollutants in 2012 for Beijing and the surrounding five provinces of North China

2018 ◽  
Vol 181 ◽  
pp. 20-33 ◽  
Author(s):  
Huanjia Liu ◽  
Bobo Wu ◽  
Shuhan Liu ◽  
Panyang Shao ◽  
Xiangyang Liu ◽  
...  
Keyword(s):  
High Resolution ◽  
Air Pollutants ◽  
North China ◽  
Emission Inventory

Development of high-resolution emission inventory to study the relative contribution of a local power plant to criteria air pollutants and Greenhouse gases

Urban Climate ◽  
2021 ◽  
Vol 38 ◽  
pp. 100897
Author(s):  
Hossein Shahbazi ◽  
Ali Mostafazade Abolmaali ◽  
Hossein Alizadeh ◽  
Hooman Salavati ◽  
Hamidreza Zokaei ◽  
...  
Keyword(s):  
High Resolution ◽  
Power Plant ◽  
Greenhouse Gases ◽  
Air Pollutants ◽  
Emission Inventory ◽  
Local Power ◽  
Criteria Air Pollutants ◽  
Relative Contribution

scholarly journals High-resolution simulation of link-level vehicle emissions and concentrations for air pollutants in a traffic-populated East Asian city

2016 ◽  
Author(s):  
Shaojun Zhang ◽  
Ye Wu ◽  
Ruikun Huang ◽  
Han Yan ◽  
Yali Zheng ◽  
...  
Keyword(s):  
High Resolution ◽  
East Asia ◽  
Air Pollutants ◽  
Vehicle Emissions ◽  
Emission Inventory ◽  
Air Pollutant ◽  
Assessment Tools ◽  
Vehicle Emission ◽  
Temporal And Spatial ◽  
Resolution Simulation

Abstract. Vehicle emissions of air pollutants created substantial environmental impacts on air quality for many traffic-populated cities in East Asia. A high-resolution emission inventory is an irreplaceable tool compared with traditional tools (e.g., registration data based approach) to accurately evaluate real-world traffic dynamics and their environmental burden. In this study, Macao, one of the most populated cities in the world, is selected to demonstrate a high-resolution simulation of vehicular emissions and their contribution to air pollutant concentrations by coupling multi-models. First, traffic volumes by vehicle category on 47 typical roads were investigated during weekdays of 2010 and further applied in a networking demand simulation with the TransCAD model to establish hourly profiles of link-level vehicle counts. Local vehicle driving speed and vehicle age distribution data were also collected in Macao. Second, based on a localized vehicle emission model (e.g., the EMBEV-Macao), this study established a link-based vehicle emission inventory in Macao with high resolution meshed in a temporal and spatial framework. Furthermore, we employed the AERMOD model to map concentrations of CO, NO2 and primary PM2.5 contributed by local vehicle emissions during the weekdays of November 2010. This study has discerned the strong impact of traffic flow dynamics on the temporal and spatial patterns of vehicle emissions, such as a geographic discrepancy of spatial allocation up to 25 % between THC and PM2.5 emissions owing to spatially heterogeneous vehicle-use intensity between motorcycles and diesel fleets. We also identified that local vehicles are a dominant source of ambient NO2 in traffic-populated areas as evidenced by good agreement between AERMOD-simulated data and observed results. Therefore, this paper provides a case study and a solid framework for developing high-resolution environment assessment tools for other vehicle-populated cities in East Asia.

scholarly journals Air pollutants Emission inventory from offshore fishery research vessel

2021 ◽  
Vol 228 ◽  
pp. 01018
Author(s):  
Xin Rao ◽  
Hongliang Huang ◽  
Lingzhi Li ◽  
Shuai Chen ◽  
Jialiang Yang
Keyword(s):  
Air Pollution ◽  
Fuel Consumption ◽  
Air Pollutants ◽  
Emission Inventory ◽  
Research Vessel ◽  
Fishery Research ◽  
The Future ◽  
Pollutants Emission ◽  
Pelagic Fishery ◽  
Pelagic Fisheries

With the development of offshore and Pelagic Fisheries, the continuous expansion of fishing routes, the corresponding ship tonnages are increasing, and the air pollution of vessels is becoming more and more serious. An offshore fishery research vessel was selected as the object, the emission factors were obtained according to its basic data, the method based on fuel consumption was adopted to calculate the air pollutants emission (NOx, HC, CO and PM10) and the emission inventory was established. The inventory provides data for the establishment of the emission inventory of offshore pelagic fishery in the future, and has positive significance for the establishment of green fishing in the future.

A new statistical approach for establishing high-resolution emission inventory of primary gaseous air pollutants

2014 ◽  
Vol 94 ◽  
pp. 392-401 ◽  
Author(s):  
Ying Zhou ◽  
Shuiyuan Cheng ◽  
Dongsheng Chen ◽  
Jianlei Lang ◽  
Beibei Zhao ◽  
...  
Keyword(s):  
High Resolution ◽  
Air Pollutants ◽  
Emission Inventory ◽  
Statistical Approach

An elaborate high resolution emission inventory of primary air pollutants for the Central Plain Urban Agglomeration of China

2014 ◽  
Vol 86 ◽  
pp. 93-101 ◽  
Author(s):  
Peipei Qiu ◽  
Hezhong Tian ◽  
Chuanyong Zhu ◽  
Kaiyun Liu ◽  
Jiajia Gao ◽  
...  
Keyword(s):  
High Resolution ◽  
Air Pollutants ◽  
Emission Inventory ◽  
Urban Agglomeration ◽  
Central Plain

scholarly journals EVOLUTION OF POLLUTANTS EMISSIONIN RELATION TOROAD TRAFFIC IN THE CITY OF LOME (TOGO) FROM 2010 TO 2019

2021 ◽  
Vol 9 (12) ◽  
pp. 51-57
Author(s):  
Kokou SABI ◽  
◽  
Hezouwe SONLA ◽  
Moursalou KORIKO ◽  
Kokou Eric GBEDJANGNI ◽  
...  
Keyword(s):  
Air Pollutants ◽  
Emission Inventory ◽  
Road Traffic ◽  
Petroleum Products ◽  
Air Pollutant ◽  
Capital City ◽  
Pollutant Emission ◽  
Volatile Organic ◽  
Pollutants Emission ◽  
The City

The automobile fleet in Togo has increased in the last decades with a patchwork of vehicles that are in majority older than ten (10) years. Until 2019, the car fleet in Togo was almost dependent upon petroleum products, and was consequentlya source of air pollutants emission. Lome is the capital city of Togo with the characteristic of having the highest road traffic volume that significantly impacts air quality. In accordance with the EMEP/EEA air pollutant emission inventory guide and the COPERT method, emissions of carbone monoxide (CO), nitrogen oxides (NOx), non-methane volatile organic compounds (NMVOCs) and particulate matter (PM) are respectively estimated to: 2621.674 tCO 82.444 tNOx 558.778 tNMVOC and 7.241 tPM. In the time series 2010-2019, emissions of CO, NMVOCs and NOx fell overall with average yearly rates by respectively 83,0234 66,4888 and 0,8073 t/year whereas the PM emission rose(0,8208 t/year).

scholarly journals High-resolution simulation of link-level vehicle emissions and concentrations for air pollutants in a traffic-populated eastern Asian city

2016 ◽  
Vol 16 (15) ◽  
pp. 9965-9981 ◽  
Author(s):  
Shaojun Zhang ◽  
Ye Wu ◽  
Ruikun Huang ◽  
Jiandong Wang ◽  
Han Yan ◽  
...  
Keyword(s):  
High Resolution ◽  
Air Pollutants ◽  
Vehicle Emissions ◽  
Emission Inventory ◽  
Air Pollutant ◽  
Assessment Tools ◽  
Vehicle Emission ◽  
Eastern Asia ◽  
Temporal And Spatial ◽  
Resolution Simulation

Abstract. Vehicle emissions containing air pollutants created substantial environmental impacts on air quality for many traffic-populated cities in eastern Asia. A high-resolution emission inventory is a useful tool compared with traditional tools (e.g. registration data-based approach) to accurately evaluate real-world traffic dynamics and their environmental burden. In this study, Macau, one of the most populated cities in the world, is selected to demonstrate a high-resolution simulation of vehicular emissions and their contribution to air pollutant concentrations by coupling multimodels. First, traffic volumes by vehicle category on 47 typical roads were investigated during weekdays in 2010 and further applied in a networking demand simulation with the TransCAD model to establish hourly profiles of link-level vehicle counts. Local vehicle driving speed and vehicle age distribution data were also collected in Macau. Second, based on a localized vehicle emission model (e.g. the emission factor model for the Beijing vehicle fleet – Macau, EMBEV–Macau), this study established a link-based vehicle emission inventory in Macau with high resolution meshed in a temporal and spatial framework. Furthermore, we employed the AERMOD (AMS/EPA Regulatory Model) model to map concentrations of CO and primary PM2.5 contributed by local vehicle emissions during weekdays in November 2010. This study has discerned the strong impact of traffic flow dynamics on the temporal and spatial patterns of vehicle emissions, such as a geographic discrepancy of spatial allocation up to 26 % between THC and PM2.5 emissions owing to spatially heterogeneous vehicle-use intensity between motorcycles and diesel fleets. We also identified that the estimated CO2 emissions from gasoline vehicles agreed well with the statistical fuel consumption in Macau. Therefore, this paper provides a case study and a solid framework for developing high-resolution environment assessment tools for other vehicle-populated cities in eastern Asia.

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