Complex analysis focused on influence of biodiesel and its mixture on regulated and unregulated emissions of motor vehicles with the aim to protect air quality and environment

2019 ◽  
Vol 12 (7) ◽  
pp. 855-864 ◽  
Author(s):  
Michal Puškár ◽  
Andrej Jahnátek ◽  
Ivan Kuric ◽  
Jaroslava Kádárová ◽  
Melichar Kopas ◽  
...  
Keyword(s):  
Air Quality ◽  
Complex Analysis ◽  
Motor Vehicles ◽  
Unregulated Emissions

scholarly journals Unregulated Emissions from Natural Gas Taxi Based on IVE Model

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 478
Author(s):  
Hong Zhao ◽  
Liang Mu ◽  
Yan Li ◽  
Junzheng Qiu ◽  
Chuanlong Sun ◽  
...  
Keyword(s):  
Natural Gas ◽  
Total Carbon ◽  
Motor Vehicles ◽  
Pollutant Emission ◽  
Localization Model ◽  
Annual Total ◽  
Hc Emissions ◽  
Analysis System ◽  
Unregulated Emissions ◽  
Ive Model

Emissions from motor vehicles have gained the attention of government agencies. To alleviate air pollution and reduce the petroleum demand from vehicles in China, the policy of “oil to gas” was vigorously carried out. Qingdao began to promote the use of natural gas vehicles (NGVs) in 2003. By the end of 2016, there were 9460 natural gas (NG) taxis in Qingdao, which accounted for 80% of the total taxis. An understanding of policy implementation for emission reductions is required. Experiments to obtain the taxi driving conditions and local parameters were investigated and an international vehicle emissions (IVE) localization model was established. Combined with vehicle mass analysis system (VMAS) experiments, the IVE localization model was amended and included the taxi pollutant emission factors. The result indicates that annual total carbon monoxide (CO) emissions from actual taxis are 6411.87 t, carbureted hydrogen (HC) emissions are 124.85 t, nitrogen oxide (NOx) emissions are 1397.44 t and particulate matter (PM) emissions are 8.9 t. When the taxis are running on pure natural gas, the annual emissions of CO, HC, NOx and PM are 4942.3 t, 48.15 t, 1496.01 t and 5.13 t, respectively. Unregulated emissions of annual total formaldehydes, benzene, acetaldehyde, 1,3-butadience emissions from an actual taxi are 65.99 t, 4.68 t, 1.04 t and 8.83 t. When the taxi is running on pure natural gas, the above unregulated emissions are 12.11 t, 1.27 t, 1.5 t and 0.02 t, respectively.

scholarly journals PREDICTION OF OZONE (O3) VALUES USING SUPPORT VECTOR REGRESSION METHOD

2021 ◽  
Vol 7 (4) ◽  
pp. 81-88
Author(s):  
Chasandra Puspitasari ◽  
Nur Rokhman ◽  
Wahyono
Keyword(s):  
Air Quality ◽  
Support Vector Regression ◽  
Time Series Data ◽  
Motor Vehicles ◽  
Primary Data ◽  
Series Data ◽  
Polynomial Kernel ◽  
Support Vector ◽  
Linear Kernel ◽  
Air Quality Prediction

A large number of motor vehicles that cause congestion is a major factor in the poor air quality in big cities. Ozone (O3) is one of the main indicators in measuring the level of air pollution in the city of Surabaya to find out how air quality. Prediction of Ozone (O3) value is important as a support for the community and government in efforts to improve the air quality. This study aims to predict the value of Ozone (O3) in the form of time series data using the Support Vector Regression (SVR) method with the Linear, Polynomial, RBF, and ANOVA kernels. The data used in this study are 549 primary data from the daily average of ozone (O3) value of Surabaya in the period 1 July 2017 - 31 December 2018. The data will be used in the training and testing process until prediction results are obtained. The results obtained from this study are the Linear kernel produces the best prediction model with a MAPE value of 21.78% with a parameter value 𝜆 = 0.3; 𝜀 = 0.00001; cLR = 0.005; and C = 0.5. The results of the Polynomial kernel are not much different from the Linear kernel which has a MAPE value of 21.83%. While the RBF and ANOVA kernels each produce a model with MAPE value of 24.49% and 22.0%. These results indicate that the SVR method with the kernels used can predict Ozone values quite well.

scholarly journals A review on Assessment of Air Pollution due to Vehicular Emission in Traffic Area

2018 ◽  
Vol 8 (02) ◽  
Author(s):  
Aneri A. Desai
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Ambient Air ◽  
Pollution Monitoring ◽  
Motor Vehicles ◽  
Monitoring And Control ◽  
Ambient Air Quality ◽  
Vehicular Emission ◽  
Rapid Urbanization ◽  
Air Pollution Monitoring

In Indian metropolitan cities, the extensive growth of the motor vehicles has resulted in the deterioration of environmental quality and human health. The concentrations of pollutants at major traffic areas are exceeding the permissible limits. Public are facing severe respiratory diseases and other deadly cardio-vascular diseases In India. Immediate needs for vehicular air pollution monitoring and control strategies for urban cities are necessary. Vehicular emission is the main source of deteriorating the ambient air quality of major Indian cities due to rapid urbanization. Total vehicular population is increased to 15 Lacks as per recorded data of Regional Transport Organization (RTO) till 2014-2015. This study is focused on the assessment of major air pollution parameters responsible for the air pollution due to vehicular emission. The major air pollutants responsible for air pollution due to vehicular emissions are PM10, PM2.5, Sox, Nox, HC, CO2 and CO and Other meterological parameters like Ambient temperature, Humidity, Wind direction and Wind Speed. Sampling and analysis of parameters is carried out according to National Ambient Air Quality Standards Guidelines (NAAQS) (2009) and IS 5128.

Design of Hydrogen Fuel Cell Autorickshaw

2006 ◽  
Author(s):  
Ikhlaq Khattak ◽  
Mirza Jamil Yousaf
Keyword(s):  
Fuel Cell ◽  
Air Quality ◽  
Internal Combustion Engines ◽  
Motor Vehicles ◽  
Oil Well ◽  
Hydrogen Fuel Cell ◽  
Major Step ◽  
Oil Mixtures ◽  
The Usa ◽  
Cleaner Technology

In Asia there are less private cars, but there is a high proportion of 2-stroke engines in scooters, motorcycles, auto-rickshaws (Tuk-Tuks), all running on petrol-oil mixtures with levels of hydrocarbon emissions (from partially burnt fuel and oil) well in excess of levels permitted in the USA and Europe. Worldwide Rickshaw/scooter/motorcycle type engine production is estimated at 17 million per year. According to National Transport Research Center (NTRC), the total population of registered (all types) motor vehicles in Pakistan in year 2000 was 4.224 million, out of which more than half of the population is (2.206 million) two wheelers or three wheelers (motorcycle/scooter/auto rickshaw). Almost all auto rickshaws have two stroke power packs and also 60% of motorcycle/scooters are of the same category. Pakistan is a very densely populated developing country, with very loose environment protection rules, which are practically unregulated due to large financial implications. This scenario leads to adverse air quality conditions especially in large cities of the country where the main contributory factors are vehicular traffic, that too, two stroke vehicles Industry, diesel-powered vehicles, and the omnipresent three-wheeled, two-stroke rickshaws all contribute to the extremely dirty air. Taxi/car use is increasing, but rickshaws have the advantage of being able to swarm through the congested car traffic in cities. This explains the over .6 million motorcycles/scooters/rickshaws currently in Pakistan, of which approximately 20% are two stroke Auto-rickshaws of 175 cc. Pakistan’s vehicle fleet has a growth rate of 8.0% (1990–99). The purpose of this study is to examine a particular application of fuel cell technology “The Auto Rickshaws”. They are small three-wheeled vehicles that can carry three people. Due to their small size and low price, rickshaws have traditionally been powered by high power density two-stroke internal combustion engines. Two-stroke engines produce a great deal of pollution and are an object of concern in many Asian countries. Severe pollution from two-stroke engines is a significant driver for cleaner technology. Thus, the target of this study is the Asian urban commuter, since a rickshaw is largely used in many Asian cities and contributes directly to air pollution in major crowded cities of Pakistan also. Countries like China, India, Bangladesh, Taiwan and Pakistan [1] are facing dramatic growth rates in two-stroke vehicle population as bicycle rickshaws are being replaced, so, low-powered but clean rickshaws would be a major step in providing mobility without compromising urban air quality.

scholarly journals Fine-Grained Spatiotemporal Analysis of the Impact of Restricting Factories, Motor Vehicles, and Fireworks on Air Pollution

2020 ◽  
Vol 17 (13) ◽  
pp. 4828
Author(s):  
Mei Yang ◽  
Hong Fan ◽  
Kang Zhao
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Spatiotemporal Analysis ◽  
Yangtze River Delta ◽  
Influential Factors ◽  
Motor Vehicles ◽  
Emission Scenarios ◽  
Fine Grained ◽  
The Impact ◽  
Pm2.5 Concentration

Aiming at improving the air quality and protecting public health, policies such as restricting factories, motor vehicles, and fireworks have been widely implemented. However, fine-grained spatiotemporal analysis of these policies’ effectiveness is lacking. This paper collected the hourly meteorological and PM2.5 data for three typical emission scenarios in Hubei, Beijing–Tianjin–Hebei (BTH), and Yangtze River Delta (YRD). Then, this study simulated the PM2.5 concentration under the same meteorological conditions and different emission scenarios based on a reliable hourly spatiotemporal random forest model ( R 2 exceeded 0.84). Finally, we investigated the fine-grained spatiotemporal impact of restricting factories, vehicles, and fireworks on PM2.5 concentrations from the perspective of hours, days, regions, and land uses, excluding meteorological interference. On average, restricting factories and vehicles reduced the PM2.5 concentration at 02:00, 08:00, 14:00, and 20:00 by 18.57, 16.22, 25.00, and 19.07 μ g / m 3 , respectively. Spatially, it had the highest and quickest impact on Hubei, with a 27.05 μ g / m 3 decrease of PM2.5 concentration and 17 day lag to begin to show significant decline. This was followed by YRD, which experienced a 23.52 μ g / m 3 decrease on average and a 23 day lag. BTH was the least susceptible; the PM2.5 concentration decreased by only 8.2 μ g / m 3 . In addition, influenced by intensive human activities, the cultivated, urban, and rural lands experienced a larger decrease in PM2.5 concentration. These empirical results revealed that restricting factories, vehicles, and fireworks is effective in alleviating air pollution and the effect showed significant spatiotemporal heterogeneity. The policymakers should further investigate influential factors of hourly PM2.5 concentrations, combining with local geographical and social environment, and implement more effective and targeted policies to improve local air quality, especially for BTH and the air quality at morning and night.

Relating Vehicle Emission Regulations to Air Quality

1988 ◽  
Vol 202 (4) ◽  
pp. 235-242
Author(s):  
M L Williams
Keyword(s):  
Carbon Monoxide ◽  
Air Quality ◽  
Motor Vehicles ◽  
Vehicle Emission ◽  
Gaseous Pollutants ◽  
Oxides Of Nitrogen ◽  
Emission Regulations ◽  
European Regulations ◽  
Emission Limits ◽  
The Relationship

The European regulations governing the emissions of gaseous pollutants from gasoline-engined motor vehicles is reviewed and discussed, including the so-called ‘Luxembourg Agreement’. The relationship between the regulation emission limits and those measured in practice from ‘as-received’ vehicles in use is also discussed. Having discussed the relationship between regulations and emissions, the further relationships between vehicle emissions and air quality are also discussed, giving particular attention to carbon monoxide, oxides of nitrogen and lead.

Dealing with air pollution in Latin America: the case of Quito, Ecuador

1999 ◽  
Vol 4 (3) ◽  
pp. 375-388 ◽  
Author(s):  
JORGE JURADO ◽  
DOUGLAS SOUTHGATE
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Respiratory Illness ◽  
Medical Expenditures ◽  
Capital City ◽  
Motor Vehicles ◽  
Industrial Emissions ◽  
Manufacturing Plants ◽  
Air Quality Improvement ◽  
Primary Focus

Located in a high Andean valley, Ecuador's capital city suffers from severe air pollution, emitted by manufacturing plants as well as motor vehicles. Improving air quality would result in diminished respiratory illness, which currently costs Quito's residents several millions of dollars annually in lost earnings and medical expenditures. Technology transfer has succeeded in reducing industrial emissions at a modest cost. But diesel-fueled trucks and buses, which are a major source of various pollutants, have been the primary focus of the local government's strategy for air quality improvement. To date, that strategy has met with some success, although future initiatives will involve higher abatement expenses and therefore will test the commitment of municipal authorities and the citizens they represent to pollution control.

scholarly journals The Contributions To The Study Of Carbon Monoxide Pollution Due To Car Traffic In A Densely Populated Area

2015 ◽  
Vol 66 (1) ◽  
pp. 11-16
Author(s):  
Borza Sorin
Keyword(s):  
Carbon Monoxide ◽  
Air Quality ◽  
Research Work ◽  
Motor Vehicles ◽  
Human Society ◽  
Air Quality Monitoring ◽  
Populated Area ◽  
Car Traffic ◽  
Research Findings ◽  
Gis Software

Abstract Air quality monitoring is the most important environmental factor to be considered because it is the fastest way that helps pollutant transport into the environment. The development of human society has led to a negative anthropogenic and technogenic impact on air quality, resulting into a significant series of adverse effects on human health, flora, fauna and ecosystems in general. In this paper it is presentd the research work performed to monitor carbon monoxide emissions from motor vehicles in traffic, in a densely populated area in Sibiu. Also, in the paper it is described, the research findings conducted in accordance with national and European legislation. In our research we used GIS software, Geomedia Professional.

scholarly journals Hubungan Konsetrasi NO2 Udara Ambien Terhadap Konsentrasi NO2 Udara Dalam Ruang Di Lampu Merah Simpang Jelutung Kota Jambi

2018 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Peppy Herawati ◽  
Anggrika Riyanti ◽  
Ageng Pratiwi
Keyword(s):  
Public Health ◽  
Air Quality ◽  
Indoor Air ◽  
Pearson Correlation ◽  
Ambient Air ◽  
Quality Standard ◽  
Motor Vehicles ◽  
Major Influence ◽  
Correlation Relationship ◽  
The Relationship

ABSTRACTTtransportation is one of the factors that have a major influence in air quality decline. Air pollution is not only happening outside the room and will mobilization activities of motor vehicles, but it can affect air quality in space. One of the pollutant gas produced from vehicles is the concentration of Nitrogen Dioxide (NO2). This allows an exposure that will impact on public health. The purpose of this study is to determine the relationship of NO2 air ambient concentration (outdoor) to indoor air (indoor) in Simpang Jelutung Red Lights area. The method used in this study is quantitatif method. Data collection using sampling NO2 concentration in outdoor and indoor. The relationship between outdoor and indoor NO2 concentrations was analyzed using Pearson correlation. This is in line with the small influence of air NO2 concentration in space on public health. Result shows that all of the sample is still categorized either or not passing the air quality standard (150 μg / m3) in Government Regulation Number 41 Year 1999. The correlation analysis result  show relationship NO2 concentration between ambient air (outdoor) to indoor air was 13%, which means that correlation relationship is very weak.  Keywords:     Ambient air, indoor air, NO2 concentration

scholarly journals Effect of COVID-19 pandemic induced lockdown (general holiday) on air quality of Dhaka City

2020 ◽  
Author(s):  
Md. Saiful Islam ◽  
Tahmid Anam Chowdhury
Keyword(s):  
Time Series ◽  
Air Quality ◽  
Environmental Protection Agency ◽  
Time Series Data ◽  
Urban Air Pollution ◽  
Motor Vehicles ◽  
Series Data ◽  
Dhaka City ◽  
Criteria Pollutants ◽  
Us Epa

Abstract A worldwide pandemic of COVID-19 has forced to implement a lockdown during April-May 2020 by restricting people's movement, the shutdown of industries and motor vehicles in Dhaka, Bangladesh, to contain the virus. This type of strict measures returned an outcome of the reduction of urban air pollution around the world. The present study aims to investigate the reduction of the concentration of pollutants in the air of Dhaka City and the reduction of the Air Quality Index (AQI). Necessary time-series data of the concentration of PM2.5, NO2, SO2, and CO have been collected from the archive of the U.S. Environmental Protection Agency (US EPA) and Sentinel-5P. The time-series data have been analyzed by descriptive statistics, and AQI is calculated following an appropriate formula suggested by US EPA based on the criteria pollutants. The study found that the concentrations of PM2.5, NO2, SO2, and CO have been reduced by 23, 30, 07, and 07% during April-May 2020, respectively, compared with the preceding year's concentration. Moreover, the AQI has also been reduced by up to 35% than the previous year in April-May 2020. However, the magnitude of pollution reduction in Dhaka is lower than other cities and countries globally, including Delhi, Sao Paulo, Wuhan, Spain, Italy, USA, etc. The main reason includes the poor implementation of lockdown, especially in the first week of April and the second fortnight of May. The findings will be useful for policymakers to find a way to control the pollution sources to enhance Dhaka's air quality.

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