Estimating Air Pollutant Emissions for Nonroad Equipment Using MOVES: Case Study of a Building Project

2018 ◽  
Author(s):  
Sai Akhila Boddi Reddy ◽  
Ingrid Arocho
Keyword(s):  
Air Pollutant ◽  
Pollutant Emissions ◽  
Building Project

Air pollutant emissions from straw open burning: A case study in Tianjin

2017 ◽  
Vol 171 ◽  
pp. 155-164 ◽  
Author(s):  
Yanan Guan ◽  
Guanyi Chen ◽  
Zhanjun Cheng ◽  
Beibei Yan ◽  
Li'an Hou
Keyword(s):  
Air Pollutant ◽  
Pollutant Emissions ◽  
Open Burning

scholarly journals Scenarios for vehicular air pollutant emissions abatement: a case study in Hangzhou, China

2014 ◽  
Vol 15 (9) ◽  
pp. 753-760 ◽  
Author(s):  
Qing-yu Zhang ◽  
Xin-xing Li ◽  
Wei-li Tian ◽  
Ang-yi Fu ◽  
Wei-fei Du ◽  
...  
Keyword(s):  
Air Pollutant ◽  
Pollutant Emissions

scholarly journals Quantifying Air Pollutant Emission from Agricultural Machinery Using Surveys—A Case Study in Anhui, China

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 440
Author(s):  
Yi Ai ◽  
Yunshan Ge ◽  
Zheng Ran ◽  
Xueyao Li ◽  
Zhibing Xu ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Road Traffic ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Pollutant Emission ◽  
Agricultural Machinery ◽  
Activity Data ◽  
Road Traffic Emissions ◽  
Using Data

Diesel-powered agricultural machinery (AM) is a significant contributor to air pollutant emissions, including nitrogen oxides (NOx) and particulate matter (PM). However, the fuel consumption and pollutant emissions from AM remain poorly quantified in many countries due to a lack of accurate activity data and emissions factors. In this study, the fuel consumption and air pollutant emission from AM were estimated using a survey and emission factors from the literature. A case study was conducted using data collected in Anhui, one of the agricultural provinces of China. The annual active hours of AM in Anhui ranged 130 to 175 h. The estimated diesel fuel consumption by AM was 1.45 Tg in 2013, approximately 25% of the total diesel consumption in the province. The air pollutants emitted by AM were 57 Gg of carbon monoxide, 14 Gg of hydrocarbon, 74 Gg of NOx and 5.7 Gg of PM in 2013. The NOx and PM emissions from AM were equivalent to 17% and 22% of total on-road traffic emissions in Anhui. Among nine types of AM considered, rural vehicles are the largest contributors to fuel consumption (31%) and air emissions (33–45%).

A socio-economic method for estimating future air pollutant emissions—Chicago case study

2007 ◽  
Vol 41 (26) ◽  
pp. 5398-5409 ◽  
Author(s):  
Zhining Tao ◽  
Allen Williams ◽  
Kieran Donaghy ◽  
Geoffrey Hewings
Keyword(s):  
Air Pollutant ◽  
Pollutant Emissions ◽  
Economic Method

scholarly journals Underground Roundabouts: Analysis of Several Layouts for A Case Study in Urban Area

2020 ◽  
Vol 14 (1) ◽  
pp. 143-153
Author(s):  
Marco Guerrieri ◽  
Matteo Sartori
Keyword(s):  
Traffic Congestion ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Urban Context ◽  
Traffic Demand ◽  
Road Intersections ◽  
Congestion Problems ◽  
Urban Contexts ◽  
The City

Background: Roundabouts eliminate some of the most complex and dangerous aspects of traditional at-grade road intersections. In recent times, novel two-level roundabout layouts have been proposed (i.e. target-roundabout and four-flyover roundabout). Nevertheless, no research on underground roundabouts is available. This paper analyzed the underground roundabout planned in the city of Trento (Italy). Objective: The paper examines an underground roundabout in an urban context, planned with the purpose of alleviating traffic congestion in the city of Trento (Italy). Four different layouts have been studied. Methods and Results: This study was conducted with the help of traffic microsimulation in the AIMSUN environment. The traffic model was calibrated using GEH index. The simulated queues are significantly close to the real queues measured in the year 2020. Conclusion: Underground roundabout can reduce queues, travel times, fuel consumption, air pollutant emissions etc. This particular type of roundabout could be used in urban contexts with a traffic demand and congestion problems comparable to those of the present study.

Characterizing air pollutant emissions for highway construction projects

2015 ◽  
Vol 4 (3) ◽  
pp. 315-328 ◽  
Author(s):  
William Rasdorf ◽  
Phil Lewis ◽  
Ingrid Arocho ◽  
Joseph Hummer
Keyword(s):  
Environmental Impacts ◽  
Construction Projects ◽  
Highway Construction ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Research Approach ◽  
Real World Data ◽  
Content Type ◽  
Project Size

Purpose – The purpose of this paper is to characterize the relationships between air pollutant emissions from heavy duty diesel equipment and highway construction project scope, schedule, and budget. Objectives included estimating total project emissions; developing a daily emissions profile; and developing new emissions estimating metrics based on project scope, schedule, and budget. Design/methodology/approach – The research approach involved collecting real-world data related to project scope, schedule, and budget from two highway case study projects. The data were used to establish an emissions inventory estimating methodology to calculate total emissions for each case study. The total emissions were normalized based on project size, duration, and cost in order to develop new emissions estimating metrics. Findings – The results proved that it is possible to characterize total equipment emissions based on project size, duration, and cost. The new emissions estimating metrics were quantitatively similar for both case studies. Research limitations/implications – The results were based on two case study projects. Additional data from more projects is needed to provide more highly refined numerical results. Practical implications – This approach enables project planners and managers to assess the environmental impacts of highway projects along with the financial and time impacts. Social implications – Construction equipment is a major contributor to the nation’s air pollution problem. Before pollutant emissions can be managed they must first be measured. Originality/value – The new emissions estimating metrics are a novel approach to comparing environmental impacts of two or more projects, as well as estimating total emissions for future highway construction projects.

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