The Calculation of Air Pollutants Emission from Ships in Ports

2014 ◽  
Vol 1065-1069 ◽  
pp. 3105-3109
Author(s):  
Ya Qian Zhao ◽  
Wei Wang ◽  
Xue Jun Feng
Keyword(s):  
Air Pollution ◽  
Fuel Consumption ◽  
Air Pollutants ◽  
Pollutants Emission ◽  
Pollution Emissions ◽  
Air Pollution Emissions

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.

scholarly journals Decomposition of air pollution emissions from Swedish manufacturing

2021 ◽  
Author(s):  
Polina Ustyuzhanina
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Volatile Compounds ◽  
Air Pollutants ◽  
Technique Effect ◽  
Main Driver ◽  
Pollution Emissions ◽  
Air Pollution Emissions

AbstractStarting from the ’90s, Swedish manufacturing output has been constantly growing, while emissions of some major air pollutants have been declining. This paper decomposes manufacturing pollution emissions to identify the forces associated with the abatement. It uses a newly available dataset on actual annual emissions from Swedish manufacturing and creates an index of emission intensities for the major local air pollutants to directly estimate the technique effect for the period 2007–2017. The results suggest that the main driver of the clean-up was improvements in emission intensities, while the composition of output actually moved towards more pollution-intensive goods. In the absence of changes in scale and technique, manufacturing pollution emissions would have increased in a range between 3 (particulate matter) and 20% (non-methane volatile compounds) between 2007 and 2017.

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.

scholarly journals Satellite Retrieval of Air Pollution Changes in Central and Eastern China during COVID-19 Lockdown Based on a Machine Learning Model

2021 ◽  
Vol 13 (13) ◽  
pp. 2525
Author(s):  
Zigeng Song ◽  
Yan Bai ◽  
Difeng Wang ◽  
Teng Li ◽  
Xianqiang He
Keyword(s):  
Machine Learning ◽  
Air Pollution ◽  
Air Pollutants ◽  
Action Plan ◽  
Eastern China ◽  
Validation Dataset ◽  
Machine Learning Model ◽  
Clean Air ◽  
Pollution Emissions ◽  
Air Pollution Emissions

With the implementation of the 2018–2020 Clean Air Action Plan (CAAP) the and impact from COVID-19 lockdowns in 2020, air pollution emissions in central and eastern China have decreased markedly. Here, by combining satellite remote sensing, re-analysis, and ground-based observational data, we established a machine learning (ML) model to analyze annual and seasonal changes in primary air pollutants in 2020 compared to 2018 and 2019 over central and eastern China. The root mean squared errors (RMSE) for the PM2.5, PM10, O3, and CO validation dataset were 9.027 μg/m3, 20.312 μg/m3, 10.436 μg/m3, and 0.097 mg/m3, respectively. The geographical random forest (RF) model demonstrated good performance for four main air pollutants. Notably, PM2.5, PM10, and CO decreased by 44.1%, 43.2%, and 35.9% in February 2020, which was likely influenced by the COVID-19 lockdown and primarily lasted until May 2020. Furthermore, PM2.5, PM10, O3, and CO decreased by 16.4%, 24.2%, 2.7%, and 19.8% in 2020 relative to the average values in 2018 and 2019. Moreover, the reduction in O3 emissions was not universal, with a significant increase (~20–40%) observed in uncontaminated areas.

scholarly journals The impact of the application of technological solutions in passenger transport on the environment

2017 ◽  
Vol 2 (1-2) ◽  
Author(s):  
Jusuf Borić ◽  
Fuad Klisura
Keyword(s):  
Air Pollution ◽  
Fuel Consumption ◽  
Retention Time ◽  
Collection System ◽  
Electronic Toll Collection ◽  
Bus Stops ◽  
Toll Collection ◽  
Pollution Emissions ◽  
The Impact ◽  
Air Pollution Emissions

The main objective was to reduce the retention time at the bus stops, time for drivers’ administrative actions, fuel consumption, air pollution emissions of SO2 and to increase the solvency of the company.For the realization of the set objectives it was needed: to introduce electronic billing system with the use of contactless - chip card as a monthly ticket, all vehicles will be equipped with electronic conditions for the sale of individual tickets and recording contactless - chip card and receive training for direct partcipants. All vehicles are equipped with electronic conditions for the sale of individual tickets and recording contactless - chip card. All the participants involved in the use of electronic ticketing systems are trained and equipped with the necessary means.The result of the introduction of electronic toll collection system is to reduce: the retention time at the bus stops and to ensure good performance of administrative driver. The importance of introducing electronic toll collection system is the reduction of fuel consumption, air pollution emissions of SO2, faster handover and discharge of collected cards and increase the solvency of the company.

scholarly journals COVID-19 and Air Pollution: Measuring Pandemic Impact to Air Quality in Five European Countries

Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 290
Author(s):  
Akvilė Feiferytė Skirienė ◽  
Žaneta Stasiškienė
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Social Services ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring ◽  
Rapid Spread ◽  
Air Quality Improvement ◽  
Environment Agency ◽  
Pollution Emissions ◽  
Air Pollution Emissions

The rapid spread of the coronavirus (COVID-19) pandemic affected the economy, trade, transport, health care, social services, and other sectors. To control the rapid dispersion of the virus, most countries imposed national lockdowns and social distancing policies. This led to reduced industrial, commercial, and human activities, followed by lower air pollution emissions, which caused air quality improvement. Air pollution monitoring data from the European Environment Agency (EEA) datasets were used to investigate how lockdown policies affected air quality changes in the period before and during the COVID-19 lockdown, comparing to the same periods in 2018 and 2019, along with an assessment of the Index of Production variation impact to air pollution changes during the pandemic in 2020. Analysis results show that industrial and mobility activities were lower in the period of the lockdown along with the reduced selected pollutant NO2, PM2.5, PM10 emissions by approximately 20–40% in 2020.

scholarly journals Status of Air Pollution Regulations Affecting Gas Turbines in 80 Nations

1974 ◽  
Author(s):  
R. J. Ketterer ◽  
N. R. Dibelius
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Sulfur Dioxide ◽  
Gas Turbines ◽  
Ground Level ◽  
Oxides Of Nitrogen ◽  
Ground Level Concentration ◽  
Pollution Emissions ◽  
Air Pollution Emissions

This paper summarizes regulations from 80 countries covering air pollution emissions from gas turbines. The paper includes emission and ground level concentration standards for particulates, sulfur dioxide, oxides of nitrogen, visible emissions, and carbon monoxide.

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