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SEASONAL VARIATION IN HEAVY METAL DISTRIBUTION IN FISH, WATER AND SEDIMENT

Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL, ENVIRONMENTAL AND BIO-TECHNOLOGY
Author(s): J.ABBAS MOHAIDEEN , SIJI THOMAS

Abstract: The objective of the study is to reveal the seasonal variations in fish, water and sediment collected near seashore of Bay of Bengal with respect to heavy metal contamination. The concentrations of 5 heavy metals (Arsenic (As), Cadmium (Cd), Chromium (Cr), Lead (Pb) and Mercury (Hg)) were determined in water, sediment and marine species Indo-Pacific king mackerel popularly known as Spotted Seer fish (Scomberomorus Guttus) from Pulicat situated in the Northern coast of Tamilnadu (India) in 5 different seasons. The concentration of heavy metals in each sample were determined using Atomic Absorption Spectrophotometer (AAS). Thestudy shows that the concentrations of most of the heavy metals in fish are higher in summer season, water in monsoon season, and sediments in post-monsoon season.

  • Publication Date: 09-Mar-2014
  • DOI: 10.15224/978-1-63248-001-9-07
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MATERIAL SELECTION IN GREEN BUILDINGS: OPTIMIZATION OF COST AND CO2 EMISSIONS

Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL, ENVIRONMENTAL AND BIO-TECHNOLOGY
Author(s): MEHDI RAVANSHADNIA , MOHAMMAD BAGHER NOBAKHT , NIYOUSHA BAHRIYEH

Abstract: Material selection in green buildings is one of the important parts of construction of such buildings. It can be considered as a multi-criteria decision making problem; since not only are the environmental impacts of green buildings important, but also the invested budgets. This paper addresses this issue and aims at solving the material selection problem in the form of a multi-criteria decision making problem under two criteria: CO2 and cost. The proposed method, integrates a very useful simulation method called fuzzy Monte Carlo simulation (FMCS) and fuzzy ordered weighted averaging (F-OWA) operator. The FMCS is utilized to evaluate the feasible alternatives under uncertainties. The F-OWA is a new method which is developed and proposed in this paper, selects the best and optimal alternative for a green building. The information of a case study is used to evaluate the workability and capabilities of the proposed method.

  • Publication Date: 09-Mar-2014
  • DOI: 10.15224/978-1-63248-001-9-09
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