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Pham Van Toan, Lavane Kim, Nguyen Truong Thanh, Huynh Long Toan, Le Anh Tuan, Huynh Vuong Thu Minh and Pankaj Kumar
Charcoal is a fuelwood commonly used for domestic purposes on the household scale in Africa and Southeast Asia. Earnings from charcoal production contribute to the income of local inhabitants in rural areas. Unfortunately, airborne emissions from the tra...
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Wen-Tien Tsai
In the past decades, hazardous air pollutants (HAPs), so-called air toxics or toxic air pollutants, have been detected in the atmospheric air at low concentration levels, causing public concern about the adverse effect of long-term exposure to HAPs on hu...
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Myoung Ho Kim and Seong Min Kim
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Stefano Chiesa, Antonio Di Pietro, Maurizio Pollino and Sergio Taraglio
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Nikola Kranjcic, Dragana Dogancic, Bojan Ðurin and Anita Pticek Sirocic
This paper aims to present possible areas to plant different vegetation types near traffic jams to reduce air pollution in the capital of Croatia, the city of Zagreb. Based on main traffic road and random forest machine learning using WorldView-2 Europea...
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Jiyoung An, Kiyoul Lee and Heedae Park
As the seriousness of air pollution from ports and ships is recognized, the Korean Port Authority is implementing many policies and instruments to reduce air pollution in port areas. This study aims to verify the effects of the vessel speed reduction (VS...
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Noppol Arunrat, Nathsuda Pumijumnong and Sukanya Sereenonchai
Particulate pollution is a continual problem which is usually caused by the burning of crop residues in highland agricultural systems. The objectives of this study are to investigate crop-residue management and estimate the amount of pollutant emissions ...
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Dixian Zhu, Changjie Cai, Tianbao Yang and Xun Zhou
In this paper, we tackle air quality forecasting by using machine learning approaches to predict the hourly concentration of air pollutants (e.g., ozone, particle matter (
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Livestock farming is a major source of greenhouse gas and ammonia emissions. In this study, we estimate methane, nitrous oxide and ammonia emission from livestock sector in the Red River Delta region from 2000 to 2015 and provide a projection to 2030 usi...
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Dixian Zhu, Changjie Cai, Tianbao Yang and Xun Zhou
In this paper, we tackle air quality forecasting by using machine learning approaches to predict the hourly concentration of air pollutants (e.g., ozone, particle matter (PM2.5
PM
2.5
) and sulfur dioxide). Machine learning, as one of the most popular te...
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An Ha Truong, Minh Thuy Kim, Thi Thu Nguyen, Ngoc Tung Nguyen and Quang Trung Nguyen
Livestock farming is a major source of greenhouse gas and ammonia emissions. In this study, we estimate methane, nitrous oxide and ammonia emission from livestock sector in the Red River Delta region from 2000 to 2015 and provide a projection to 2030 usi...
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Tao Zhang, Yung-ho Chiu, Ying Li and Tai-Yu Lin
Environmental pollution and the associated societal health issues have attracted recent research attention. While most research has focused on the effect of air pollution on human health and local economies, few articles have discussed the environment, h...
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Shi V. Liu, Fu-Lin Chen and Jianping Xue
An important factor in evaluating health risk of near-road air pollution is to accurately estimate the traffic-related vehicle emission of air pollutants. Inclusion of traffic parameters such as road length/area, distance to roads, and traffic volume/int...
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O. V. Berlov
Pág. 48 - 54
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Mohammad Reza Majdi Yazdi, Mehdi Aliehyaei and Marc A. Rosen
Gas turbines incur a loss of output power during hot seasons due to high ambient air temperatures, and input air cooling systems are often used to partly offset this problem. Here, results are reported for an investigation of the utilization of a heat pu...
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M. EMBABY,A. B. MAYHOUB,K. S. M. ESSA,S. ETMAN
The ground level concentration of an air pollutant is obtained using the Gaussian plume model. However, the effective height H of the pollutant has been considered as a function of the ground level coordinates x and y. Extreme radius of the stack is ...
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Hui Zhao, Youfei Zheng and Ting Li
Air pollution had become a vital concern for the 2014 Youth Olympic Games in Nanjing. In order to control air pollutant emissions and ensure better air quality during the Games, the Nanjing municipal government took a series of aggressive control measure...
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Hsiu-Nien Shen, Sheng-Yuan Hua, Chang-Ta Chiu and Chung-Yi Li
Mounting evidence has shown an increased risk of gestational diabetes mellitus (GDM) in association with elevated exposure to air pollution. However, limited evidence is available concerning the effect of specific air pollutant(s) on GDM incidence. We co...
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Daniel L. Mendoza, Erik T. Crosman, Logan E. Mitchell, Alexander A. Jacques, Benjamin Fasoli, Andrew M. Park, John C. Lin and John D. Horel
Observing air quality from sensors onboard light rail cars in Salt Lake County, Utah began as a pilot study in 2014 and has now evolved into a five-year, state-funded program. This metropolitan region suffers from both elevated ozone levels during summer...
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Martha A. Zaidan, Lubna Dada, Mansour A. Alghamdi, Hisham Al-Jeelani, Heikki Lihavainen, Antti Hyvärinen and Tareq Hussein
An air pollutant proxy is a mathematical model that estimates an unobserved air pollutant using other measured variables. The proxy is advantageous to fill missing data in a research campaign or to substitute a real measurement for minimising the cost as...
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