The Prediction of Methane (Ch4) Gas Emission from Muara Fajar Landfill, Pekanbaru Using Dynamic System Model
Sri Fitria Retnawaty, Yulia Fitri, Aifat Zahiroh, Yeeri Badrun
Sri Fitria Retnawaty
Available Online December 2019.
- https://doi.org/10.2991/iccelst-st-19.2019.22How to use a DOI?
- Methane gas, Dynamic System Model, Powersim, landfill
- Prediction of methane gas emissions has been made to the Muara Fajar Landfill which is the final disposal site for all waste in the city of Pekanbaru. Prediction was made to find out the amount of methane gas emissions resulting from waste that has been piled up for a long time. The method used for prediction is the dynamic system model using powersim software. The prediction results of the amount of methane gas produced in 2018 were 8.28 Gg/year and increased by 1.94% per year until 2028. Two model scenarios were made as a mitigation effort. The first scenario is by assuming the processing of waste, namely by trying to separate and process plastic waste, and the second scenario is by assuming an increase in population migration by increasing the number of scholarships for students. The result obtained from the first scenario is that there will be a reduction in methane gas emissions by 0.53% per year. Furthermore, the result for the second scenario if done reveals that there is a reduction in methane gas emissions of 0.184% per year.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Sri Fitria Retnawaty AU - Yulia Fitri AU - Aifat Zahiroh AU - Yeeri Badrun PY - 2019/12 DA - 2019/12 TI - The Prediction of Methane (Ch4) Gas Emission from Muara Fajar Landfill, Pekanbaru Using Dynamic System Model BT - Proceedings of the International Conference of CELSciTech 2019 - Science and Technology track (ICCELST-ST 2019) PB - Atlantis Press SP - 112 EP - 117 SN - 2352-5401 UR - https://doi.org/10.2991/iccelst-st-19.2019.22 DO - https://doi.org/10.2991/iccelst-st-19.2019.22 ID - Retnawaty2019/12 ER -