Assessment of air pollution dispersion from Tigyit coal-fired power plant to the local communities in Tigyit, Myanmar | |
| Author | Myatthu Kyaw |
| Call Number | AIT Thesis no.EV-18-41 |
| Subject(s) | Air quality management--Myanmar Coal-fired power plants--Waste disposal--Environmental aspects--Myanmar |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Environmental Engineering and Management, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. EV-18-41 |
| Abstract | Energy production is one the most polluting activities in developing countries because much of energy productions rely on coal. Governments in the developing countries prioritize ensuring the energy for their citizens at cheap prices regardless of clean energy production that cause environmental problems. This study conducted emission inventory of coal-fired power plant, cement plant, surface limestone mine, surface coal mine and household cooking to estimate the concentration and spatial distribution of SO2, NO2 and PM10 in the Tigyit area at the base year of 2017 using AERMOD dispersion modeling system. Questionnaire surveys were conducted at each source category to collect the activity data. The emission factors from ABC tool were used, and the emission inventories were developed for the selected sources. The total annual emissions in the study area were, 83 kt of SO2, 1.2 kt of NO2, and 0.09 kt of PM10. Emission varied depending upon the types of sources, types of fuel used and rate of fuel consumption and the control devices. In the area, open-pit sources, such as limestone mine and coal mine were the largest source of PM10 emission, contributing 28% and 13%, respectively. The point sources (power plant) and area sources (cooking in villages) shared around 10% of total emission. For SO2 emission, the cement plant predominantly contributed at 99% of total emission. Similar to SO2, NO2 emission from the cement plant contributed 89% of the total emission while power plant contributed only 4%. In order to operate the AERMOD modelling system, the developed emission inventory data were used as emission inputs. For the meteorological data, surface data were collected at Taunggyi station, about 14 km north-east of the study area while the upper air data were accessed at the nearest Chiang Mai station (290 km south-east of the study area). The model was wet up and run to estimate pollutant concentration in the year 2017. According to the AERMOD results, the highest 24-hr SO2 and 1-hr NO2 concentrations were found in Myin Twin village group at 55 μg/m3and 25 μg/m3when the maximum 24-hr PM10 concentration appeared in Pyayar Phyu village group (33 μg/m3). The pollutants, NO2 and PM10 concentrations were below the Myanmar Emission Guideline values while SO2 concentrations exceed the guideline values. The simulated results of the selected pollutants were compared with the monitoring data and the concentration from the model was comparable to the concentration from the monitoring for all pollutants, except for SO2 in some villages where the modeled concentration were about 10-20 times higher than the measurement values. Thus, the results from this study can be used as a reference for further air pollution studies in the Tigyit area, especially for the source types such as coal-fired power plant, cement plant, surface limestone mine, surface coal mine and household cooking, included in this study. |
| Year | 2018 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. EV-18-41 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Environmental Engineering (EV) |
| Chairperson(s) | Ekbordin Winijkul; |
| Examination Committee(s) | Visvanathan, Chettiyappan;Thammarat Koottatep; |
| Scholarship Donor(s) | World Wildlife Fund (WWF);AIT Fellowship; |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2018 |