印度尼西亚西爪哇岛垃圾填埋场甲烷排放估算和分散模型

Soni Pratamayudha Wijaya, S. Ainun, D. A. Permadi
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引用次数: 1

摘要

甲烷气体(CH4)是一种可能导致全球变暖的温室气体,被称为地表臭氧前体。CH4一般由垃圾填埋场发生的生物过程产生,垃圾填埋场没有配备CH4回收和处理系统。请注意,印度尼西亚的垃圾填埋场很少作为卫生垃圾填埋场,而是大多数作为垃圾场。西爪哇省的一个垃圾填埋场是Sarimukti垃圾填埋场,每年接收近604,674吨固体废物。现有研究一直使用政府间气候变化专门委员会(IPCC)指南的第一层进行排放估算,由于国际默认数据的存在,该指南具有很高的不确定性。此外,由于计算中没有考虑生物过程的动力学速率,因此多年期估算存在不确定性。为了填补这一空白,本研究使用了一种替代方法来估算垃圾填埋场的CH4,该方法使用了一种众所周知的垃圾填埋场气体排放模型(LandGEM)软件,该软件有助于计算中的生物反应。我们还将使用传统的IPCC方法对Sarimukti垃圾填埋场进行计算,作为案例研究。为了量化CH4排放的影响,使用AMS/EPA监管模型(AERMOD)计算其扩散。使用臭氧形成势(OFP)指标评估对地表臭氧形成的潜在影响。研究结果表明,甲烷气体排放量呈逐年增加的趋势,其中2025年排放量最高,为14810.41 Mg/年(LandGEM)和11462.66 Mg/年(IPCC)。同样,甲烷气体浓度产生OFP的可能性每年都在增加,2025年地表臭氧形成的最高浓度为183,40 Mg/年。同时,甲烷排放呈弥散分布,受气象因子的影响。
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Methane Emission Estimation and Dispersion Modeling for a Landfill in West Java, Indonesia
Methane gas (CH4) is a greenhouse gas that can potentially induce global warming and it is known as surface ozone precursor. CH4 is generally produced from biological process occurred at the landfill which is not equipped with CH4 recovery and treatment system. Note that, very few of landfills in Indonesia have been operated as sanitary landfill but rather most of them act as dumping site. One landfill in West Java Province is Sarimukti Landfill which receives nearly 604,674 ton of solid waste annually. Existing studies have been using the first tier of the Intergovernmental Panel on Climate Change (IPCC) guideline for the emission estimation which provides high uncertainty due to the international default data. In addition, there are uncertainties for the multi years estimation because the kinetic rate of biological processes was not involved in the calculation. To fill in this gap, this research was conducted to use an alternative of methodology for estimating CH4 from landfill using a well known software of the Landfill Gas Emissions Model (LandGEM) which facilitates biological reaction in the calculation. We will also perform calculations using the traditional IPCC method for the Sarimukti landfill as a case study. To quantify the impact of CH4 emission, its dispersion was calculated using the AMS/EPA Regulatory Model (AERMOD). Potential impact on surface ozone formation was assessed using ozone formation potential (OFP) metric. The results of this study indicate that methane gas emissions have increased every year, where the highest emissions occurred in 2025 of 14,810.41 Mg/year (LandGEM) and 11,462.66 Mg/year (IPCC). Likewise, the potential for OFP from methane gas concentrations has increased every year where the highest concentration of surface ozone formation is in 2025 of 183,40 Mg/year. Meanwhile, the methane emission (CH4) has a dispersion pattern which is influenced by meteorological factors around the Sarimukti landfill.
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