Simulation of PM2.5 Concentrations around the Proposed Yangon Outer Ring Road (Eastern Section) in Myanmar Using CALINE 4 Model 10.32526/ennrj/20/202200029

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Shwe Sin Ko Ko
Ranjna Jindal
Win Trivitayanurak
Kraichat Tantrakarnapa
Nawatch Surinkul

Abstract

An increase in traffic volume has resulted in the deterioration of environmental quality and human health in Yangon as well as in the surrounding areas that are connected to the city via several road links. The Yangon Outer Ring Road Construction (YORR) (Eastern Section) is a priority project for solving traffic-related problems. This study aimed to simulate the current levels of PM2.5 concentration around the proposed YORR (Eastern Section) area using the CALINE 4 model and to evaluate the model’s performance. Air quality measurements of PM2.5 were carried out in five townships around the proposed road construction area-for one week at each monitoring location-from January 24th to March 2nd, 2021 using the Haz-Scanner Environmental Perimeter Air Station.  When compared to the ambient air quality guidelines of Myanmar, the International Finance Corporation, and the World Health Organization, the observed PM2.5 concentrations were found to be usually high at all locations, except in Kyauktan township. Statistical analysis indicated that the CALINE 4 model performed satisfactorily with a coefficient of determination of 0.85-0.90, fractional bias of 0.03-0.50, and normalized mean square error of 0.001-0.100. It is crucial that mitigation measures, including policies regarding the use of low PM emission vehicles and road-side barriers, be implemented by regulatory authorities during and after the YORR construction.

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How to Cite
Sin Ko Ko, S., Jindal, R., Trivitayanurak, W., Tantrakarnapa, K., & Surinkul, N. (2022). Simulation of PM2.5 Concentrations around the Proposed Yangon Outer Ring Road (Eastern Section) in Myanmar Using CALINE 4 Model: 10.32526/ennrj/20/202200029. Environment and Natural Resources Journal, 20(4), 400–410. Retrieved from https://ph02.tci-thaijo.org/index.php/ennrj/article/view/246634
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Original Research Articles

References

Automotive Research Association of India (ARAI). Emission Factor Development for Indian Vehicles as A Part of Ambient Air Quality Monitoring and Emission Source Apportionment Studies. Pune, India: ARAI; 2008. p. 1-89.

Batterman SA, Zhang K, Kononowech R. Prediction and analysis of near-road concentrations using a reduced-form emission/ dispersion model. Environmental Health 2010;9:1-18.

Benson PE. CALINE 4: A Dispersion Model for Predicting Air Pollutant Concentrations near Roadways. California, USA: Department of Transportation; 1984.

Chen H, Bai S, Eisinger D, Niemeier D, Claggett M. Modeling Uncertainties and Near-Road PM2.5: A Comparison of CALINE 4, CAL3QHc and AERMOD [dissertation]. Department of Civil and Environmental Engineering, University of California; 2008.

Chen H, Bai S, Eisinger D, Niemeier D, Claggett M. Predicting near-road PM2.5 concentrations: Comparative assessment of CALINE4, CAL3QHC, and AERMOD. Transportation Research Record: Journal of the Transportation Research Board 2009;2123:26-37.

Chuang KJ, Lin LY, Ho KF, Su CT. Traffic-related PM2.5 exposure and its cardiovascular effects among healthy commuters in Taipei, Taiwan. Atmospheric Environment 2020;7:Article No. 100084.

City Population. MYANMAR: Administrative Division [Internet]. 2022 [cited 2022 Mar 23]. Available from: https://www.citypopulation.de/en/myanmar/admin/.

Dhyani R, Sharma N. Sensitivity analysis of CALINE4 model under mix traffic conditions. Aerosol and Air Quality Research 2017;17:314-29.

Dhyani R, Singh A, Sharma N, Gulia S. Performance evaluation of CALINE 4 model in a hilly terrain: A case study of highway corridors in Himachal Pradesh (India). International Journal of Environment and Pollution 2013;52:244-62.

Dixon M. The Effects of Errors in Annual Average Daily Traffic Forecasting: Study of Highways in Rural Idaho. Moscow, Russia: National Institute for Advanced Transportation Technology (NIATT); 2004.

El-Fadel M, Najm MA, Sbayti H. Air quality assessment at a congested urban intersection. Journal of Transportation and Statics September 2000;3:86-102.

Environmental Conservation Department (ECD). National Environmental Quality (Emission) Guidelines. Naypyitaw, Myanmar: ECD; 2015. p. 1-72.

Ghanshyam. CALINE 4 model validation in the nearfield of Bahadur Shah Zafar Marg, New Delhi, India. Ghanshyam Journal of Engineering Research and Application 2018;8:1-6.

Gokhale S, Khare M. A review of deterministic, stochastic and hybrid vehicular exhaust emission models. International Journal of Transport Management 2004;2:59-74.

Gokhale S, Raokhade N. Performance evaluation of air quality models for predicting PM10 and PM2.5 concentrations at urban traffic intersection during winter period. Science of the Total Environment 2008;394:9‐24.

Goud BS, Savadatti S, Prathibha D. Application of CALINE 4 model to predict PM2.5 concentration at central silk board traffic intersection of Bangalore City. International Journal of Civil Engineering and Technology 2015;6:191-200.

Hanna SR, Strimaitis DG, Chang JC. Hazard Response Modeling Uncertainty (A Quantitative Method).Volume 1: User’s Guide for Software for Evaluating Hazardous Gas Dispersion Models. Massachusetts, USA: Sigma Research Corporation; 1993.

Horowitz A. Guidebook on Statewide Travel Forecasting. Washington, DC, USA: Federal Highway Administration; 1999

International Finance Corporation (IFC). Environmental, Health, and Safety Guidelines. Air Emissions and Ambient Air Quality. Washington, DC, USA: World Bank Group; 2007. p. 4-17.

Japan International Cooperation Agency (JICA). Bago River Bridge Environmental Impact Assessment Report. Yangon, Myanmar: Ministry of Construction; 2016. p. 9-81.

Japan International Cooperation Agency (JICA). Project for Comprehensive Urban Transport Plan of the Greater Yangon (YUTRA) Data Collection Survey for the Yangon Urban Expressway (YUEX) Project. Yangon, Myanmar: JICA; 2015. p. 19-140.

Kim KH, Kabir E, Kabir S. A review on the human health impact of airborne particulate matter. Environment International 2015;74:136-43.

Kumar P, Robins A, Vardoulakis S, Britter R. A review of the characteristics of nanoparticles in the urban atmosphere and the prospects for developing regulatory controls. Atmosphere Environment 2010;44:5035-52.

Mishra AK. Analysis and modeling of air pollutants along a link road in Mumbai City. International Journal of Innovative Research in Science and Engineering 2016;2:287-92.

Muneeswaran S, Chandrasekaran R. Ambient air quality modelling near busy road junctions in Coimbatore City using CALINE 4 model. International Journal of Engineering Research and Technology 2015;3:1-10.

Myanmar Japan Thilawa Development (MJTD). Environmental Impact Assessment for Industrial Area of Zone B, EIA Report. Yangon, Myanmar: MJTD; 2016. p. 23-332.

Nuclear Regulatory Commission (NRC). Meteorological Monitoring Programs for Nuclear Power Plants, Regulatory Guide 1.23, Proposed Revision 1. Washington, DC, USA: Nuclear Regulatory Commission; 1980. p. 1-16.

Pournazeri S, Gazollo B, Princevac M. Development of an air dispersion model to study near-road exposure. Journal of the Air and Waste Management Association 2013;1:38-40.

Sahlodin AM, Sotudeh-Gharebagh R, Zhu Y. Modeling of dispersion near roadways based on the vehicle-induced turbulence concept. Atmospheric Environment 2007;41:92-102.

Sharma N, Gulia S, Dhyani R, Singh A. Performance evaluation of CALINE 4 dispersion model for an urban highway corridor in Delhi. Journal of Scientific and Industrial Research 2013;72:521-30.

Tun SNL, Aung TH, Mon AS, Kyaw PH, Siriwong W, Robson M, et al. Assessment of ambient dust pollution status at selected point sources (residential and commercial) of Mingaladon Area, Yangon Region, Myanmar. Journal of Health Research 2017;32:60-8.

Turner DB. Workbook of Atmospheric Dispersion Estimates an Introduction to Dispersion Model. 2nd Ed. Florida, USA: International Lewis Publishers; 1994.

United State Environmental Protection Agency (USEPA). User’s Guide to CAL3QHC Version 2.0: A Modeling Methodology for Predicting Pollutant Concentrations Near Roadway Intersections. North Carolina, USA: Environmental Protection Agency; 1995. p. 7-24.

Weather Spark. February Weather in Yangon [Internet]. 2022 [cited 2022 Mar 22]. Available from: https:// weatherspark.com/m/112503/2/Average-Weather-in-February-in-Yangon-Myanmar-(Burma).

Weatherbase. Yangon, Myanmar: Weather [Internet]. 2022 [cited 2022 Mar 19]. Available from: https://www.weatherbase.com/ weather/weather-summary.php3?s=69084.

World Health Organization (WHO). WHO Global Air Quality Guidelines. Particulate Matters (PM2.5 and PM10), Ozone, Nitrogen Dioxide, Sulphur Dioxide and Carbon Monoxide. Bonn, Germany: European Center for Environment and Health; 2021. p. 73-139.

Yi EEPN, Nway NC, Aung WY, Thant Z, Wai TH, Hlaing KK, et al. Preliminary monitoring of concentration of particulate matter (PM2.5) in seven townships of Yangon City, Myanmar. Environmental Health and Preventive Medicine 2018;23:1-8.

Yu S, Chang TC, Ma CM. Simulation and measurement of air quality in the traffic congestion area. Sustainable Environment Research 2021;21;1-18.