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dc.contributor.authorSingh, Ajit Pratap-
dc.date.accessioned2022-02-20T06:51:37Z-
dc.date.available2022-02-20T06:51:37Z-
dc.date.issued2015-
dc.identifier.urihttps://www.icontrolpollution.com/articles/environmental-impact-assessment-of-industrial-clusters-in-central-india-using-fuzzy-decision-analysis-.php?aid=65720-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/4088-
dc.description.abstractEnvironmental pollution remains a serious issue in the developing world, affecting the lives of billions of people, reducing their life expectancy, and damaging children’s growth and development. India is facing the challenge of industrial pollution at an alarming rate. This has made the constant surveillance of environmental characteristics a necessary task. There is an urgent need to identify critically polluted areas and identify their problematic dimensions. The comprehensive environmental pollution index (CEPI) helps in quantifying the environmental health of the critically polluted areas by synthesizing available information on environmental status by using quantitative criteria, encompassing air, water and land. Based on this, a fuzzy rule is developed to assess the index to classify the various industrial clusters’ pollution level. This study deals with delineating the environmental pollution among various industrial clusters in Central India. Further to develop a more in-depth study, the average CEPI of the clusters are normalized and hence, formulating the base to integrated fuzzy assessment model. The paper aggregates to various techniques for analysing the environmental pollution caused by the various industrial clusters and can be applied to a larger scale for further scope.en_US
dc.language.isoenen_US
dc.publisherResearch and Reviewsen_US
dc.subjectCivil Engineeringen_US
dc.subjectEnvironmental Impact Assessmenten_US
dc.subjectIndustrial clustersen_US
dc.subjectFuzzy decision analysisen_US
dc.titleEnvironmental Impact Assessment Of Industrial Clusters In Central India Using Fuzzy Decision Analysisen_US
dc.typeArticleen_US
Appears in Collections:Department of Civil Engineering

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