Do air pollution emissions and fuel consumption models for roadways include the effects of congestion in the roadway traffic flow?

2008 ◽  
Vol 23 (10-11) ◽  
pp. 1262-1270 ◽  
Author(s):  
R. Smit ◽  
A.L. Brown ◽  
Y.C. Chan
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.


Author(s):  
Jusuf Borić ◽  
Fuad Klisura

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.


Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 290
Author(s):  
Akvilė Feiferytė Skirienė ◽  
Žaneta Stasiškienė

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.


Author(s):  
R. J. Ketterer ◽  
N. R. Dibelius

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.


2008 ◽  
Vol 47 (8) ◽  
pp. 2105-2114 ◽  
Author(s):  
Xiangde Xu ◽  
Lian Xie ◽  
Xinghong Cheng ◽  
Jianming Xu ◽  
Xiuji Zhou ◽  
...  

Abstract A major challenge for air quality forecasters is to reduce the uncertainty of air pollution emission inventory. Error in the emission data is a primary source of error in air quality forecasts, much like the effect of error in the initial conditions on the accuracy of weather forecasting. Data assimilation has been widely used to improve weather forecasting by correcting the initial conditions with weather observations. In a similar way, observed concentrations of air pollutants can be used to correct the errors in the emission data. In this study, a new method is developed for estimating air pollution emissions based on a Newtonian relaxation and nudging technique. Case studies for the period of 1–25 August 2006 in 47 cities in China indicate that the nudging technique resulted in improved estimations of sulfur dioxide (SO2) and nitrogen dioxide (NO2) emissions in the majority of these cities. Predictions of SO2 and NO2 concentrations in January, April, August, and October using the emission estimations derived from the nudging technique showed remarkable improvements over those based on the original emission data.


Author(s):  
Haneen Khreis ◽  
Mark J. Nieuwenhuijsen ◽  
Josias Zietsman ◽  
Tara Ramani

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