A significant amount of fugitive methane emission is generated from Municipal Solid Waste which is quantifiable amount in the overall methane emission. Relatively several models are proposed to quantify the amount of emission in the landfill. These models are based on two methods 1. Using analytical emission 2. Measurements. In this paper, the estimation of source positions and the emissions rates of the methane emission sources are done along with the fusion of Gaussian dispersion model. The bio inspired optimization model namely reinforced cuckoo search optimization algorithm is imposed on the estimation of methane emission source positions and their emission rates. Two different case studies are carried out to prove the significance of the proposed model. Also, the Briggs model is employed to analyse the performance of proposed model when the choice of parameter differs from the actual meteorological condition. The results show the significance of proposed model both in single and multi-objective form.

城市生活垃圾产生了大量的逃逸性甲烷排放，这在总体甲烷排放中是可量化的。相对而言，提出了几种模型来量化垃圾填埋场的排放量。这些模型基于两种方法1.使用分析发射2.测量。本文结合高斯弥散模型对甲烷排放源的位置和排放率进行了估算。基于生物启发的优化模型，即强化杜鹃搜索优化算法，被用于甲烷排放源位置及其排放率的估算。进行了两个不同的案例研究，以证明所提出模型的重要性。也，当参数选择与实际气象条件不同时，采用布里格斯模型对所提出模型的性能进行分析。结果表明了该模型在单目标和多目标形式中的意义。