Emissions Inventory Analysis of Mobile Source Air Pollution in Tel Aviv, Israel

2001 ◽  
Vol 1750 (1) ◽  
pp. 40-48 ◽  
Author(s):  
Gregory L. Newmark
Keyword(s):  
Air Pollution ◽  
Inventory Analysis ◽  
Mobile Source ◽  
Emissions Inventory ◽  
Tel Aviv

Modeling Mobile Source Air Pollution Inventories

2000 ◽  
pp. 142-157 ◽  
Author(s):  
Michael L. Deaton ◽  
James J. Winebrake
Keyword(s):  
Air Pollution ◽  
Mobile Source

scholarly journals Simulation of Air Pollution from Mobile Source Emissions in the City of Rio de Janeiro

1999 ◽  
Vol 10 (3) ◽  
pp. 203-208 ◽  
Author(s):  
I.C.B. Campos ◽  
A.S. Pimentel ◽  
S.M. Corrêa ◽  
G. Arbilla
Keyword(s):  
Air Pollution ◽  
Rio De Janeiro ◽  
Mobile Source ◽  
Mobile Source Emissions ◽  
The City

Mobile-Source Air Pollution

2019 ◽  
pp. 147-171
Author(s):  
Tom Tietenberg ◽  
Lynne Lewis
Keyword(s):  
Air Pollution ◽  
Mobile Source

scholarly journals Estimation of the Non-Greenhouse Gas Emissions Inventory from Ships in the Port of Incheon

2020 ◽  
Vol 12 (19) ◽  
pp. 8231
Author(s):  
Hyangsook Lee ◽  
Dongjoo Park ◽  
Sangho Choo ◽  
Hoang T. Pham
Keyword(s):  
Air Pollution ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Alternative Fuels ◽  
Management Decision ◽  
Gas Emissions ◽  
Research Attention ◽  
Emissions Inventory ◽  
Management Platform ◽  
General Cargo

Nowadays, maritime air pollution is regarded as a severe threat to coastal communities’ health. Therefore, many policies to reduce air pollution have been established worldwide. Moreover, there has been a shift in policy and research attention from greenhouse gases, especially CO2, to other air pollutants. To address the current local environmental challenges, this research analyzes the non-greenhouse gas emissions inventory (CO, NOx, SOx, PM, VOC, and NH3) from ships in the second biggest port in Korea, the Port of Incheon (POI). A bottom-up activity-based methodology with real-time vessel activity data produced by the Vessel Traffic Service (VTS) is applied to obtain reliable estimations. NOx and SOx dominated the amount of emission emitted from ships. Tankers, general cargo ships, cruise ships, and container ships were identified as the highest sources of pollution. Based on the above results, this study discusses the need for long-term policies, such as the designation of a local emission control area (ECA) and the establishment of an emission management platform to reduce ship-source emissions. Furthermore, this study elucidates that significant emissions come from the docking process, ranging from 33.9% to 42.0% depending on the type of pollutant when only the auxiliary engines were being operated. Therefore, short-term solutions like applying exhausted gas cleaning systems, using on-shore power supplies, reducing docking time, or using greener alternative fuels (e.g., liquefied natural gas or biofuels) should be applied and motivated at the POI. These timely results could be useful for air quality management decision-making processes for local port operators and public agencies.

scholarly journals A modeling analysis of a heavy air pollution episode occurred in Beijing

2006 ◽  
Vol 6 (4) ◽  
pp. 8215-8240 ◽  
Author(s):  
X. An ◽  
T. Zhu ◽  
Z. Wang ◽  
C. Li ◽  
Y. Wang
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Fine Particulate Matter ◽  
Horizontal Resolution ◽  
Transport Pathway ◽  
Emissions Inventory ◽  
Average Percentage ◽  
Pollution Episode ◽  
Transport Path ◽  
Transport Flux

Abstract. Because concentrations of fine particulate matter (PM) and ozone in Beijing often exceed healthful levels, China is to taking steps to improve Beijing's air quality for the 2008 Olympic Games. In this paper the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System was used to investigate a heavy air pollution episode in Beijing during 3–7 April 2005. The modeling domain covered from East Asia with four nested grids with 81 to 3 km horizontal resolution focusing on urban Beijing. This was coupled with a regional emissions inventory with a 10 km resolution and a local 1km Beijing emissions database. The trend of predicted concentrations of various pollutants agreed reasonably well with the observations and captured the main features of this heavy pollution episode. The simulated column concentration distribution of PM was correlated reasonably with the MODIS remote sensing products. Control runs with and without Beijing emissions were conducted to quantify the contributions of non-Beijing sources (NBS) to the Beijing local air pollution. The contributions of NBS to each species differed spatially and temporally with the order of PM25>PM10>SO2>SOIL for this episode. The percentage contribution of NBS to fine particle (PM2.5) in Beijing was averaged about 40%, up to 80% at the northwest of urban Beijing and only 10–20% at southwest. The spatial distribution of NBS contributions for PM10 was similar to that for PM2.5, with a slightly less average percentage of about 30%. The NBS contributions for SO2 and SOIL (diameter between 2.5 μm and 10 μm) were only 10–20% and 5–10%. In addition, the pollutant transport flux was calculated and compared at different levels to investigate transport pathway and magnitude. It was found that the NBS contribution correlated with the transport flux, contributing 70% of PM10 concentration in Beijing at the time of transport flux peak during a strong episode with a transport path from southwest to northeast.

Environmental Education for Automotive Personnel in Mexico

1995 ◽  
Vol 17 (4) ◽  
pp. 22-24
Author(s):  
Lenora Bohren
Keyword(s):  
Air Pollution ◽  
Environmental Education ◽  
Vehicle Emissions ◽  
Cross Cultural ◽  
Technical Expertise ◽  
Cultural Issues ◽  
Mobile Source ◽  
Cultural Attitudes ◽  
Design And Implementation ◽  
International Projects

As an environmental anthropologist and coordinator of a variety of international projects, I have dealt with many cross-cultural issues concerning environmental problems. In my work for the National Center for Vehicle Emissions Control and Safety, I have been particularly concerned with the problem of mobile source air pollution—air pollution generated by automobiles. Both the training and expertise of local automotive personnel and cultural attitudes toward the automobile and regulations regarding its use must be understood and addressed in any program designed to alleviate air pollution. Assessments of local technical expertise and cultural attitudes and the design and implementation of culturally relevant programs require the skills of a competent ethnographer.

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