Greenhouse gas estimation from waste management activities in Khlong Luang District | |
| Author | Narawich Kaewwongsa |
| Call Number | AIT Thesis no.EV-22-07 |
| Subject(s) | Waste management--Thailand--Khlong Luang District Greenhouse gas emissions--Thailand--Khlong Luang District |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Environmental Engineering and Management |
| Publisher | Asian Institute of Technology |
| Abstract | Greenhouse gases (GHG) are the constituents of gases in the atmosphere generated by natural and anthropogenic sources, including waste management activities. The increasing population tends to higher consumption and waste generation. The study aims to estimate GHG emissions from municipal waste management activities in Khlong Luang district. The review of previous GHG emissions models was studied to develop Excel-based GHG emissions estimation software emphasizing plastic waste management, which includes the utilization of plastic waste. In addition, plastic waste hotspots were specified to understand the uncollected waste situation in Khlong Luang district. As per the extensive literature review and baseline analysis carried out from the review of the estimation of the GHG emissions from waste management, it is decided to use the EQT model as the main model. The preparation of Excel-based GHG emissions estimation software was developed based on the development of the EQT model by refining and making it appropriate for Klong Luang district area by estimating the GHG emissions through the dumpsite mining process. The GHG emissions estimation based on current waste management activities shows that GHG emissions are equal to minus 76,170 kg of CO2- equivalent, which means the emissions can be avoided regarding dumpsite mining activities that utilize plastic waste as an alternative fuel (RDF) in order to reduce the GHG emissions. With the emphasis on plastic waste management, plastic litter hotspots were determined in the study area as 307 points by using the pLitter model. Therefore, the municipality must provide strengthened strategies and effective policies to minimize uncollected waste problems and avoid marine litter that results from poorly managing trash on land. |
| Year | 2022 |
| 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 and Management (EV) |
| Chairperson(s) | Visvanathan, Chettiyappan |
| Examination Committee(s) | Thammarat Koottatep;Singh, Jai Govind |
| Scholarship Donor(s) | Royal Thai Government Fellowship |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2022 |