Quality assessment of pollution indicators in marine water at critical locations of the Gulf of Mannar Biosphere Reserve, Tuticorin.
Autor: | Rajendran V; Environmental Microbiology and Toxicology Laboratory, Department of Environmental Management, School of Environmental Sciences, Bharathidasan University, Tiruchirappalli 620 024, Tamil Nadu, India. Electronic address: seaviji@bdu.ac.in., Nirmaladevi D S; Environmental Microbiology and Toxicology Laboratory, Department of Environmental Management, School of Environmental Sciences, Bharathidasan University, Tiruchirappalli 620 024, Tamil Nadu, India., Srinivasan B; Marine Planktonology & Aquaculture Laboratory, Department of Marine Science, School of Marine Sciences, Bharathidasan University, Tiruchirappalli 620 024, Tamil Nadu, India; Marine Aquarium & Regional Centre, Zoological Survey of India, Digha 721 428, West Bengal, India., Rengaraj C; Environmental Microbiology and Toxicology Laboratory, Department of Environmental Management, School of Environmental Sciences, Bharathidasan University, Tiruchirappalli 620 024, Tamil Nadu, India., Mariyaselvam S; Department of Environmental Sciences, Bishop Heber College, Tiruchirappalli 620 017, Tamil Nadu, India. |
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Jazyk: | angličtina |
Zdroj: | Marine pollution bulletin [Mar Pollut Bull] 2018 Jan; Vol. 126, pp. 236-240. Date of Electronic Publication: 2017 Nov 13. |
DOI: | 10.1016/j.marpolbul.2017.10.091 |
Abstrakt: | The present study focused on the shoreline environment of urban and industrial areas, and the aim of this study was to assess the coastal water quality in the Gulf of Mannar Biosphere Reserve. Water samples were collected from five different coastal sites during the premonsoon and monsoon seasons. The samples were analyzed following the standard methods. The results showed that the levels of microbiological indicators in the samples highly exceeded the regional and national standard seawater permissible limits, and environmental parameters such as the total suspended solid and dissolved oxygen were affected significantly (p<0.05). To identify frequent pollution indicators, their levels should be estimated to determine possible pollution in coastal ecosystems due to human interventions. (Copyright © 2017 Elsevier Ltd. All rights reserved.) |
Databáze: | MEDLINE |
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