alexa A Fuzzy Based Modeling for Assessment of Soil Degradati
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

Like us on: https://twitter.com/ijirset_r
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

A Fuzzy Based Modeling for Assessment of Soil Degradation Due to E-Wastes

Sria Biswas
P.G. Student, Department of Nano Technology, Jadavpur University, West Bengal, India
Related article at Pubmed, Scholar Google
 

Abstract

All discarded wastes generated from electrical and electronic products are known collectively as e-waste. Out of all kinds of wastes that directly dispose of in the landfill, e-wastes are now most rapidly increasing sources of wastes in the world even though various recycling and reusable efforts are given to minimize the volume of it. In most of the city, sanitary landfill are not practiced rather wastes are dumping crudely in open landfill[7]. As a result soil gets highly contaminated due to the presence of lead, mercury, cadmium and other toxic substances in the e-wastes. At present no scientific tool or methods are available to an engineer to asses the quantification of soil degradation of a landfill except the process of Environmental Impact Assessment (EIA)[5,6].But EIA is a prediction method where an expert has certainly a limitation of knowledge or intellectual functionaries for his perception. Because the data available around the periphery of landfill are not always crisp or precise rather linguistic and hedges viz. “good”, “very good”, “bad”, “low”, “high”, “severe”, “less”, etc. to list a few only out of infinity. Evaluation of many objects here is not possible with numerical valued descriptions because uncertainty is an integral part of prediction of any such data[1]. This paper deals with a methodology of “vague fuzzy EIA‟ for assessment of soil degradation with degree of certainty.

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords