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Greenhouse Gas Emissions from Waste and Wastewater: A Case Study of High-Rise Buildings in Bangkok |
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| รหัสดีโอไอ | |
| Creator | Wilasinee Yoochatchaval |
| Title | Greenhouse Gas Emissions from Waste and Wastewater: A Case Study of High-Rise Buildings in Bangkok |
| Contributor | Wirine Supapornchaisin, Wilasinee Yoochatchaval |
| Publisher | Thai Society of Higher Education Institutes on Environment |
| Publication Year | 2569 |
| Journal Title | EnvironmentAsia |
| Journal Vol. | 19 |
| Journal No. | 1 |
| Page no. | 168-174 |
| Keyword | GHG emission, High Rise Building, Waste management, Electricity consumptionin wastewater treatment process, Wastewater treatment |
| URL Website | http://www.tshe.org/ea/index.html |
| Website title | EnvironmentAsia |
| ISSN | 1906-1714 |
| Abstract | This study evaluates greenhouse gas (GHG) emissions from the waste management activities of high-rise buildings in Bangkok. Researchers focused on the Central, Northern, and Eastern zones, which were chosen for their dense urban core, economic significance, and rapid growth. The assessment included 603 buildings across 22 districts, covering both direct and indirect activities. Data from Environmental Impact Mitigation and Monitoring Reports (July 2023 - June 2024) were primarily used. GHG emissions were calculated using the 2006 IPCC Guidelines and expressed in units of CO2e, then spatially visualized via the QGIS 3.40 program. Results show wastewater treatment generated 148,517 tCO2e/month, waste management 30,316 tCO2e/month, and electricity for wastewater processes 1,054 tCO2e/month. Total waste sector emissions reached 2,158,645 tCO2e/year, with an average intensity of 15.52 kgCO2e/m². Don Mueang District (NTB04) recorded the highest emissions per area at 37.97 kgCO2e/m². The results confirm that wastewater treatment, solid waste management, and electricity for wastewater treatment are the primary contributors. This study provides crucial baseline GHG emission data for Bangkok’s high-rise building waste management activities, informing future reduction strategies. |
