Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/28428
Title: Anaerobic digestion of the organic fraction of municipal solid waste using two phase uasb system with multiple regression and artificial neural network analysis
Researcher: Ramesh N
Guide(s): Meenambal T
Keywords: artificial neural network analysis
civil engineering
organic fraction
Upload Date: 20-Nov-2014
University: Anna University
Completed Date: 01/12/2009
Abstract: Municipal Solid Waste MSW Management has posed one of the newlinebiggest challenge in India today In most of Asian countries the dynamic newlinechanges in the life style and living habits of the people along with accelerated newlinegrowth of population lack of awareness financial support and inadequate newlinetechnology greatly influence the solid waste generation which has become an newlineaggravating problem The percapita generation of solid waste for the people newlineliving in urban areas is about 055kgpersonday where as it is about 04 to newline045 kgpersonday for the people living in rural areas This solid waste is newlinedisposed by local government authorities through open dumping composting newlineand Land filling It is evident from the collected data that the organic matter newlinecontent present in the 60 of the total solid waste generated from the most of newlinethe cities can be utilized as bio energy source and converted into bioorganic newlinemanure newline newline
Pagination: xxiii, 208p.
URI: http://hdl.handle.net/10603/28428
Appears in Departments:Faculty of Civil Engineering

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01_title.pdfAttached File25.46 kBAdobe PDFView/Open
02_certificate.pdf5.78 kBAdobe PDFView/Open
03_abstract.pdf15.25 kBAdobe PDFView/Open
04_acknowledgement.pdf6.75 kBAdobe PDFView/Open
05_contents.pdf34.78 kBAdobe PDFView/Open
06_chapter 1.pdf35.88 kBAdobe PDFView/Open
07_chapter 2.pdf46.24 kBAdobe PDFView/Open
08_chapter 3.pdf738.29 kBAdobe PDFView/Open
09_chapter 4.pdf1.9 MBAdobe PDFView/Open
10_chapter 5.pdf90.88 kBAdobe PDFView/Open
11_chapter 6.pdf29.49 kBAdobe PDFView/Open
12_chapter 7.pdf14.48 kBAdobe PDFView/Open
13_appendix.pdf42.1 kBAdobe PDFView/Open
14_references.pdf66.4 kBAdobe PDFView/Open
15_publications.pdf9.17 kBAdobe PDFView/Open
16_vitae.pdf6.06 kBAdobe PDFView/Open


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