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

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.

2014 ◽  
Vol 1065-1069 ◽  
pp. 3105-3109
Author(s):  
Ya Qian Zhao ◽  
Wei Wang ◽  
Xue Jun Feng

The air pollutants emissions from ships obtained a large proportion in the system. The research of air pollutants from ships has become a hot issue. The paper analyzes the generating mechanism and detriment of air pollution from ships, and summarizes the methods to calculate air pollution emissions in ports, clearly defined the concepts and details the formulas of the method based on fuel consumption and the method based on power, finally propose reasonable methods to calculate the ship air pollutants under different conditions, to improve the convenience and accuracy of calculation.


2020 ◽  
Author(s):  
Rahul Chaurasia ◽  
Manju Mohan

<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>


2017 ◽  
Vol 170 ◽  
pp. 156-168 ◽  
Author(s):  
Ji Qi ◽  
Bo Zheng ◽  
Meng Li ◽  
Fang Yu ◽  
Chuchu Chen ◽  
...  

2017 ◽  
Vol 2 (12) ◽  
Author(s):  
Karolina Maduna ◽  
Vesna Tomašić

Abstract Air pollution is an environmental and a social problem which leads to a multitude of adverse effects on human health and standard of human life, state of the ecosystems and global change of climate. Air pollutants are emitted from natural, but mostly from anthropogenic sources and may be transported over long distances. Some air pollutants are extremely stable in the atmosphere and may accumulate in the environment and in the food chain, affecting human beings, animals and natural biodiversity. Obviously, air pollution is a complex problem that poses multiple challenges in terms of management and abatements of the pollutants emission. Effective approach to the problems of air pollution requires a good understanding of the sources that cause it, knowledge of air quality status and future trends as well as its impact on humans and ecosystems. This chapter deals with the complexities of the air pollution and presents an overview of different technical processes and equipment for air pollution control, as well as basic principles of their work. The problems of air protection as well as protection of other ecosystems can be solved only by the coordinated endeavors of various scientific and engineering disciplines, such as chemistry, physics, biology, medicine, chemical engineering and social sciences. The most important engineering contribution is mostly focused on development, design and operation of equipment for the abatement of harmful emissions into environment.


2015 ◽  
Vol 15 (10) ◽  
pp. 5443-5456 ◽  
Author(s):  
H. Y. Zhao ◽  
Q. Zhang ◽  
D. B. Guan ◽  
S. J. Davis ◽  
Z. Liu ◽  
...  

Abstract. Substantial anthropogenic emissions from China have resulted in serious air pollution, and this has generated considerable academic and public concern. The physical transport of air pollutants in the atmosphere has been extensively investigated; however, understanding the mechanisms how the pollutant was transferred through economic and trade activities remains a challenge. For the first time, we quantified and tracked China's air pollutant emission flows embodied in interprovincial trade, using a multiregional input–output model framework. Trade relative emissions for four key air pollutants (primary fine particle matter, sulfur dioxide, nitrogen oxides and non-methane volatile organic compounds) were assessed for 2007 in each Chinese province. We found that emissions were significantly redistributed among provinces owing to interprovincial trade. Large amounts of emissions were embodied in the imports of eastern regions from northern and central regions, and these were determined by differences in regional economic status and environmental policy. It is suggested that measures should be introduced to reduce air pollution by integrating cross-regional consumers and producers within national agreements to encourage efficiency improvement in the supply chain and optimize consumption structure internationally. The consumption-based air pollutant emission inventory developed in this work can be further used to attribute pollution to various economic activities and final demand types with the aid of air quality models.


2021 ◽  
Vol 9 (12) ◽  
pp. 51-57
Author(s):  
Kokou SABI ◽  
◽  
Hezouwe SONLA ◽  
Moursalou KORIKO ◽  
Kokou Eric GBEDJANGNI ◽  
...  

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).


2014 ◽  
Vol 14 (18) ◽  
pp. 25617-25650 ◽  
Author(s):  
H. Y. Zhao ◽  
Q. Zhang ◽  
S. J. Davis ◽  
D. Guan ◽  
Z. Liu ◽  
...  

Abstract. High anthropogenic emissions from China have resulted in serious air pollution, and it has attracted considerable academic and public concern. The physical transport of air pollutants in the atmosphere has been extensively investigated, however, understanding the mechanisms how the pollutants were transferred through economic and trade activities remains challenge. In this work, we assessed China's virtual air pollutant transport embodied in trade, by using consumption-based accounting approach. We first constructed a consumption-based emission inventory for China's four key air pollutants (primary PM2.5, sulfur dioxide (SO2), nitrogen oxides (NOx) and non-methane volatile organic compounds (NMVOC)) in 2007, based on the bottom-up sectoral emission inventory concerning their production activities – a production-based inventory. We used a multiregional input-output (MRIO) model to integrate the sectoral production-based emissions and the associated economic and trade activities, and finally obtained consumption-based inventory. Unlike the production-based inventory, the consumption-based inventory tracked emissions throughout the supply chain related to the consumption of goods and services and hereby identified the emission flows followed the supply chains. From consumption-based perspective, emissions were significantly redistributed among provinces due to interprovincial trade. Large amount of emissions were embodied in the net imports of east regions from northern and central regions; these were determined by differences in the regional economic status and environmental policies. We also calculated the emissions embodied in exported and imported goods and services. It is found that 15–23% of China's pollutant emissions were related to exports for foreign consumption; that proportion was much higher for central and export-oriented coastal regions. It is suggested that measures should be introduced to reduce air pollution by integrating cross-regional consumers and producers in national agreements to encourage efficiency improvement in the supply chain and optimizing consumption structure internationally. The consumption-based air pollutants emission inventory developed in this work can be further used to attribute pollution to different economic activities and final demand types with the aid of air quality models.


2007 ◽  
Vol 87 (2) ◽  
pp. 211-224
Author(s):  
Danijela Obradovic ◽  
Dejan Filipovic

Researches of existing environmental state represent the basis of the researches for the needs of planning new activities or increasing existing activities in space, but also the basis for population?s health research and protection and maintains of areas with important natural and cultural-historic values. Investigations of air pollution and air quality fall into group of basic activities during describing and evaluating the total environmental state in certain area. This paper identifies the main sources of air pollution in the municipality of Loznica and, according to results of measured values of air pollutants (emission and imission values), concludes about air quality. It also proposes in the end mitigation measures for improvement of the air quality, and therefore of entire environment.


Author(s):  
Ashish Shankar Singh

Abstract: Pollutants in the air are emitted from a variety of sources in metropolitan areas, causing poor air quality. Using a Geographic Information System (GIS), this project attempts to assess municipal solid waste (MSW) burning emissions and prepare a spatial distribution grid for Prayagraj city. PM10, PM2.5, NOx, SO2, and CO emissions were computed using activity data and emission factors using a bottom-up approach. The result from this study shows that emissions for all 5 pollutants PM10, PM2.5, NOx, SO2, CO are 718, 488, 269, and 3771kg/day respectively, where CO is the highest emitted pollutant. The Prayagraj municipal area was divided into grids of 3 km2 area. The spatial distribution plotted for Prayagraj city shows the hotspot grid areas for all 5 air pollutants emission. The hotspot grids for PM10 are P9, P10, P17, P29 and for PM2.5, NOx, SO2, are P9, P10, P17 and for CO are P9, P10, P14, P17, P29. Keywords: PM10, PM2.5, NOX, SO2, CO, Emission Inventory, Spatial distribution, Hotspot grids


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