GIS-based assessment and mapping of noise pollution in the urban area of Bago City, Myanmar | |
| Author | Su Thandar Aung |
| Call Number | AIT Thesis no.RS-17-04 |
| Subject(s) | Geographic information system--Myanmar--Bago City Mapping--Myanmar--Bago City Noise pollution--Myanmar--Bago City |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. RS-17-04 |
| Abstract | Noise pollution is an ever - growing problem particularly in the populated urban area due to several factors such as increasing population, industrialization and increasing vehicles usage, etc. Myanmar has been challenging environmental degradation as a result of increasing income and consumption levels, the uncontrolled usage and extraction of resources , urban population growth, and lack of effective waste treatment and disposal options. Noise pollution problem i s also including one of them that need to be considered and it seems to be growing problem in the future as the cities undergo economic and industrial development. The study area, Bago city, is popular for one of the most trafficked city and many people complained about noise related problem. The aim of this study is to assess noise pollution level using GIS technology in the urban area of Bago city, Myanmar . The total of one hundred and nine sampling points was randomly selected for noise level assessment based on the defined road category. Noise level assessments were conducted during three different interval of the day – 7:00 - 10:00, 10:00 - 13:00 and 13:00 - 16:00 using DT - 8852 sound level meter device. The minimum recorded noise level in Yangon - Mandalay highway was 80.2 dB (A), other major roads were above 60 dB (A) and the residential roads including pedestrian roads were above 49.4 dB (A) respectively. The calculated noise descriptor ( L eq ) indicated that the noise level in all the measured locations were above 55 dB (A). In regard to this, the 30 urbanistic variables were registered into each road and the relationship between urban variables and the measured noise levels were examined. Out of the 30 variables, only 18 variables showed the significant correlation with the noise level and stepwise multiple linear regression analysis was performed on the correlated variables. Finally, the regression model with only four variables was obtained; public attraction places, commercial area, religious places from urban land use group and length from road geometry group which indicate the 57.6% variation of the noise level. Furthermore, diurnal noise mapping was done by using IDW (Inverse Distance Weight) interpolation technique in ArcGIS software with the output cell size of 100m × 100m. This resulting noise maps were then used as an assessment too to estimate the population exposure rate. About 57.79% of population in 7:00 - 10:00 interval, 47.05% of population in 10:00 - 13:00 interval and 60.54% of population in 13:00 - 1 6:00 interval were exposed to noise level above 70 dB (A). Moreover, comparison with the noise regulation standard showed that noise standard violation in Bago city was as high as 25 dB (A) in 7:00 - 10:00 interval, 21 dB (A) in 10:00 - 13:00 interval and 23 d B (A) in 13:00 - 16:00 interval respectively. The conduction of this study might help to provide the information to the authorities by which they can take the action plan to control the noise emission in the future . |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. RS-17-04 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Tripathi, Nitin Kumar |
| Examination Committee(s) | Kim, Sohee Minsun;Sarawut Ninsawat |
| Scholarship Donor(s) | Thailand International Development Cooperation Agency (TICA) |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2017 |