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.: Home > Nature and Science > 2012 > Volume 10 Number 9 > John Leju CELESTINO LADU1, 2; Yatta S. LUKAW3; Denis D. Kenyi4

Predicting the Effects of water temperature, pH, nitrogen and Phosphorus on the abundance of Melosira in Jebel Aulia Reservoir – Sudan, using Multiple Regression model

John Leju CELESTINO LADU1, 2; Yatta S. LUKAW3; Denis D. Kenyi4
School of Energy and Environment, Dept. of Environmental Science and Engineering Southeast University, Nanjing 210096, P. R. China College of Natural Resources and Environmental Studies. Department of Environmental Studies, University of Juba, South Sudan 3. College of Natural Resources and Environmental Studies, Department of Basic of Sciences, University of Juba, South Sudan 4. College of Natural Resources and Environmental Studies, Department of Fisheries, University of Juba John.leju6@gmail.com
Abstract :

This study attempt to envisage the effects of water temperature, pH and availability of nitrogen and phosphorus on the phytoplankton Melosira in Jebel Aulia Reservoir in Khartoum, Sudan. The study took a complete year from January 2003-December 2003 during which selected physicochemical variables such as water temperature, pH, nitrate and phosphate concentrations were measured at the time of plankton collection. The effects of the four physicochemical variables on the Melosira abundance were predicted by the development of seven models using the Multiple Regression Analysis of STATVIEW 5.0. The annual means of water temperature, pH, nitrate, phosphate and the Melosira abundance were in the order of 25.19 ±1.10oC, 7.99± 0.30 μgl-l, 3858.50 ±1087.37 μgl-1 and 340.83 ±12.44 μgl-1 and 1650.99±2386.90 cell L-1. The highest Melosira density of 9111.5 cells L-1 occurred in March at the temperature of 21.8oC, pH 8μgl-l, nitrate and phosphate concentrations of 3800 and 280 μgl-1. The lowest density of 442 cells L-1 occurred in June at the temperature of 28.8oC, pH 7.60μgl-l and at the nitrate and phosphate concentrations of 4100 and 360μgl-1. The actual population density and the population density of Melosira predicted by the estimated regression model were compared using t-Test analysis and the result indicated a non-significant difference at P ≤ 0.05 (t-Value = 0.26, DF=11, P-Value =0.80) between the means of the two

Keywords :
Multiple Regression model; physico-chemical variables; Melosira; t-Test

Date Deposited : 18 May 2016 20:04

Last Modified : 18 May 2016 20:04

Official URL: http://www.sciencepub.net/nature/

Volume 10, Number 9, - 2012 , ISSN 1545-0740

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