The DOI matches its Crossref record.
A Review of Solid Waste Management Techniques Using GIS and Other Technologies
Abstract
Solid waste management has been a leading concern for all the developing countries. It poses serious threats in terms of environmental damage, health hazards and economic cascade. There has to be apt planning for proper waste management by analyzing the area and its waste situation. This paper deals with, how Geographical Information System and other technologies like RFID, GPS etc. Can be used as a decision support tool for proper planning of solid waste management. This paper aims to review and compare various GIS models suggested for solid waste management. The study would upgrade the solid waste management reform, boost its management and efficiency to ensure the practical solutions for solid waste collection process, monitoring and management for green environment.
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Claims other papers make about this one
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In the citing paper
“As an inevitable part of construction and demolition (C&D) waste, muck has a dreadful environmental impact due its inadequate management by the traditional governance process.”
From Integrated and effective management of muck waste under the platform governance mode for a circular economy (2023) · cites this paper as Guo et al. 2020
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 7
- 10.1109/SCORED.2009.5443382 · DOI
- thompson, 2003, Application of geographic information system to solid waste management, 2013 Pan African International Conference on Information Science Computing and Telecommunications (PACT), 206
- 2008, What is GIS (Geography Information Systems)?
- 10.1109/ICIAS.2010.5716183 · DOI
- wyatt, 2008, Maximizing Waste Management Efficiency through the Use of RFID - Texas Instruments
- 10.1109/EURCON.2005.1630190 · DOI
- 10.1109/ICAST.2006.313826 · DOI
Cited by
Sorted by citations
Wu, W., Yin, Y., Hao, J. L., Ma, W., Gong, G., & Yu, S. (2023) · Environmental Science and Pollution Research · doi:10.1007/s11356-023-29242-w · Cited by 12
Metadata
- Authors
- Shrivastava, P., Mishra, S., & Katiyar, S. K.
- Venue
- 2015 International Conference on Computational Intelligence and Communication Networks (CICN)
- Publisher
- IEEE
- Published
- 2015-12
- Pages
- 1456-1459
- Cited by
- 18
- References
- 0
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