Formulating LandGem model for estimation of landfill gas under Indian scenario
Avick Sil,
Sunil Kumar and
Rakesh Kumar
International Journal of Environmental Technology and Management, 2014, vol. 17, issue 2/3/4, 293-299
Abstract:
Mostly in India, solid waste without any segregation is deposited into open dumping sites. Through these sites, there is uncontrolled emission of methane and landfill gas. The landfill gas has tremendous potential in terms of converting and using them as source of fuel. The emission of landfill gas depends on types of wastes, its rate of biodegradability, its methane potential, level of segregation and many more. In order to estimate the level of landfill gas emission, there are various US EPA recommended models are available. One of them is LandGem. But this model has been derived as per the US climatic conditions and their type of waste. It is needed to be converted into Indian conditions before applying it for Indian landfill site. This paper formulates the criteria required for converting the LandGem equation as per Indian condition and using it for Indian landfill sites. The model is verified with its application for two landfills sites of Mumbai, Deonar and Mulund.
Keywords: municipal solid waste; MSW; LandGem; modelling; GHG emissions; greenhouse gases; methane; energy recovery; India; landfill gas. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.inderscience.com/link.php?id=61800 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijetma:v:17:y:2014:i:2/3/4:p:293-299
Access Statistics for this article
More articles in International Journal of Environmental Technology and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().