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首页> 外文会议>International Conference of CELSciTech - Sciences and Technology Track >The Prediction of Methane (Ch_4) Gas Emission from Muara Fajar Landfill, Pekanbaru Using Dynamic System Model
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The Prediction of Methane (Ch_4) Gas Emission from Muara Fajar Landfill, Pekanbaru Using Dynamic System Model

机译：采用动态系统模型，Pekanbaru从Muara Fajar垃圾填埋场预测甲烷（CH_4）气体排放

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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.
机译：对Muara Fajar垃圾填埋场进行了对甲烷气体排放的预测，这是Pekanbaru市所有浪费的最终处置现场。提出了预测，从长期堆积的废物中找出甲烷气体排放量。用于预测的方法是使用PowerSim软件的动态系统模型。 2018年生产的甲烷气体量的预测结果为8.28gg /岁，每年增加1.94％，直到2028年。两种模型情景被视为缓解努力。第一场景是假设废物处理，即通过试图分离和处理塑料废物，第二种情况是假设通过增加学生的奖学金数量的人口迁移增加。从第一场景中获得的结果是每年将甲烷气体排放量减少0.53％。此外，如果完成的话，第二场景的结果表明，每年甲烷气体排放量为0.184％。

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