Volume 2, Issue 2 (2013)
JFST 2013, 2(2): 47-61 |
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mahmoudi N, ahmadi M, Babanezhad M, seyfabadi J, roohi A. Spatial characteristics assessment of water quality and identify its controlling factors along Mazandaran coastsduring summer
(multivariate approach). JFST 2013; 2 (2) :47-61
URL: http://jfst.modares.ac.ir/article-6-10971-en.html
URL: http://jfst.modares.ac.ir/article-6-10971-en.html
Nematollah Mahmoudi1 
, Mohammadreza Ahmadi * 2, Manochehr Babanezhad3 , Jafar Seyfabadi4 , Aboulghasem Roohi5
, Mohammadreza Ahmadi * 2, Manochehr Babanezhad3 , Jafar Seyfabadi4 , Aboulghasem Roohi5
1- university scholarship
2- Professor, department of fish health and disease, Faculty of Veterinary Medicine, University of Tehran,
3- department of statistics, Faculty of Science, Golestan University,
4- Department of marine biology, Faculty of Marine Sciences, Tarbiat Modares University
5- Ecological Academy of the Caspian Sea, sari
2- Professor, department of fish health and disease, Faculty of Veterinary Medicine, University of Tehran,
3- department of statistics, Faculty of Science, Golestan University,
4- Department of marine biology, Faculty of Marine Sciences, Tarbiat Modares University
5- Ecological Academy of the Caspian Sea, sari
Abstract: (8443 Views)
Factors affecting the spatial variations of water quality of the Mazandaran coastal ecosystem was determined in summer 2012. For this purpose, water quality parameters (nutrients, temperature, conductivity, salinity, dissolved oxygen, pH, chlorophyll α and turbidity) were evaluated along 4 transects (Amirabad, Babolsar, Noshahr and Ramsar) in the depths of 5, 10, 20 and 50m, using multivariate analysis methods. Based on the cluster analysis of data, the sampling sites could be classified into 5 distinct groups, including 35-50m water layer of station 50m in all transects, 0-5m layer in station 5m in all transects, Ramsar transect and the majority of surface and bottom layers of 3 transects including Noshahr, Babolsar and Amirabad. Based on discriminant analysis, 86.40% of the sampling sites were correctly classified. Factor analysis explained 87.53% of the total variance, the five principal components of which (viz. temperature, turbidity, nitrate, silica and ammonium) were considered as the most effective parameters on the spatial variation of water quality. This study suggests that the number of sampling locations can be reduced to two transects. Thermocline, transport of nutrients (specially phosphorus and ammonium) from rivers, sea floor, cage culture and the ctenophore, M. leidyi, were the most effective sources on spatial variations of water quality. Moreover, the multivariate statistical methods were found to be useful tools to recognize the spatial variations pattern along the Mazandaran coasts in summer.
Keywords: Caspian Sea, Coastal ecosystem, Mazandaran, Water quality characteristics, multivariate analysis, Spatial variation
Article Type: Research Article |
Subject:
Water managment
Received: 2013/03/11 | Published: 2013/09/22
Received: 2013/03/11 | Published: 2013/09/22
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