General Information
    • ISSN: 1793-821X (Print)
    • Abbreviated Title: J. Clean Energy Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
    • Executive Editor: Ms. Jennifer Zeng
    • Abstracting/ Indexing: CNKIElectronic Journals Library, Chemical Abstracts Services (CAS), Ulrich's Periodicals Directory, Google Scholar, ProQuest.
    • E-mail: jocet@ejournal.net
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Editor-in-chief
Universiti Malaysia Sabah, Malaysia.
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JOCET 2014 Vol.2(2): 140-144 ISSN: 1793-821X
DOI: 10.7763/JOCET.2014.V2.109

Modeling Impreciseness of Trophic State Levels for Eutrophication Assessment

Tejaswini Dayanand Nalamutt and Subhankar Karmakar
Abstract—Tremendous efforts have been madeto propose numerous indices for quantifyingstates of eutrophication in lentic water bodies over the last decades. Most of the indices are developed or modified considering conventional trophic state indices [e.g., Carlson trophic state index (TSI)] or pre-specified ranges of cause and response variables [e.g., index proposed by Organization of Economic and Cooperation and Development (OECD)], where a strong correlation structure must exist among cause and response variables. Here an attempt is made to model impreciseness or subjectivity of trophic state levels,especially for weakly correlated variables. A generalized framework using fuzzy synthetic evaluation (FSE), analytic hierarchy process (AHP) and the concept of statistical entropyis proposed to assess the trophic state of lentic water bodies. The proposed methodology has been tested with the case study of Jordan lake data set collected from the United States of Geological Survey (USGS) data base.The result shows that, the eutrophication problem is critical mostly during the months of August to October,and the method can efficiently capture the rapid changes in trophic states.The sensitivity of the model has been tested with different weight structures for cause and response variables considered during model development, and the robustness of the model has also been tested with different weighting techniques.

Index Terms—Eutrophication, AHP, entropy, FSE, trophic state.

Tejaswini Dayanand Nalamuttis is with the Centre for Environmental Science and Engineering, Indian Institute of Technology Bombay, Mumbai, India (e-mail: tejudn@gmail.com).
Subhankar Karmakaris is with the Centre for Environmental Science and Engineering, Indian Institute of Technology Bombay. He is also an associated faculty: Interdisciplinary Program in Climate Studies, Indian Institute of Technology Bombay, Mumbai, India (e-mail: skarmakar@iitb.ac.in).

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Cite:Tejaswini Dayanand Nalamutt and Subhankar Karmakar, "Modeling Impreciseness of Trophic State Levels for Eutrophication Assessment," Journal of Clean Energy Technologies vol. 2, no. 2, pp. 140-144, 2014.

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