Predicting gaseous emissions and leachate production in landfills using neural model

Abstract

The solid waste management problems in developing countries like India are increasing at a fast pace because of heterogeneous nature of waste used in any remedial solution. This is so because India has not been able to impart segregation efficiently in its waste management logistic. Therefore, the only disposal method that is widely practiced to dispose solid waste is sanitary landfills. Landfills receiving such a huge quantum of waste need to be monitored and studied rigorously as they produce gaseous emissions and leachate. The dispersion or dissolution of these two phases of emissions is polluting the environment and affecting the public health and also the planet health. Therefore, to study the possible scenarios arising in the future from landfill, they are to be fragmented for each imparting factor. The artificial neural networks in this regard can be used to develop an integrated predictive model that can account for all the toxic compounds coming in the form of gas and liquid. This study combines all possible factors affecting landfill working from previous studies and presents a conceptual neural model with variables defined to be included for developing an efficient prediction model.