Mining from Landfills as a Remediation Strategy Regarding Open Dumpsites using Artificial Intelligence Hybrid Models

Abstract

Due to the subsequent environmental effects of volatility, precise data on waste properties and their seasonal change are essential for sustainable waste management planning. As traditional waste characterization methods are time consuming and costly in most developing countries, it is necessary to approach the problem from a modelling perspective. Objective of this study was to identify the most efficient combinations of network architecture, activation function and formation strategy to reliably estimate the proportion of physical waste streams using meteorological parameters. The city of Gwalior is also affected by this global issue. The goal of this case study was to look at the potential and issues related to solid waste in Gwalior. Extensive investigations on the collection, transportation, treatment, storage, destruction, and disposal of solid waste generated in the city of Gwalior were done. Through interactions with people and website visits, GDS-related data is gathered. This study demonstrates that the city lacks a suitable system to deal with the solid waste generated, resulting in waste being dumped into vacant space, creating a number of issues for the local population as well as the environment. The three regions that make up the city of Gwalior are the city of Gwalior, Morar and Laskhar regions.