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

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Title Mining from Landfills as a Remediation Strategy Regarding Open Dumpsites using Artificial Intelligence Hybrid Models
 
Creator Shukla, Ramkishore
Bhadauria, Sudhir Singh
Shrivastava, R K
 
Subject Gwalior
Solid waste
Waste characterization
Waste streams
 
Description 460-465
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.
 
Date 2023-04-03T09:50:48Z
2023-04-03T09:50:48Z
2023-04
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/61649
https://doi.org/10.56042/jsir.v82i04.72386
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.82(04) [April 2023]