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Research Journal of Biological Sciences

ISSN: Online 1993-6087
ISSN: Print 1815-8846
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The Relationship Between Precipitations, Temperature and Water Fluctuation of Lake Zarivar Utilizing Idrisi Software and Statistical Analyses Conducted by SPSS Software

Nader Fallah, Maasume Sufi and Alireza Abbasi
Page: 10-16 | Received 21 Sep 2022, Published online: 21 Sep 2022

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https://doi.org/10.36478/rjbsci.2016.10.16

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Abstract

Lake Zarivar is one of the most important aquatic ecosystems in Iran if in which any changes occur, vast socio economic and hydrologic effects are caused. In order to investigate the relationship between water fluctuations of the lake and temperature changes, precipitation, water level and river discharge, time series of the variables were gathered and adjusted during the statistical period of 1981-2010; the homogeneity and randomness of the data were investigated through Ron nonparametric test. To assess the changes in variables and the influence of the independent variables on the dependent variable (water level of Zarivar lake), Mann-Kendall non parametric method, Pearson parametric correlation and regression analysis were used. Results show that up to 30% of changes in the water level are justified based on temperature and precipitation variables. Hydrologic models suggest that 42% of the fluctuations of the water level are caused by changes in river discharge and water levels of under ground waters in the area and high temperature has influenced the decrease of water level of the lake more than reduction in precipitation. This study showed that the increase in the rate of temperature has begun since 2014, the reduction of precipitation and river discharge have begun since 2015, the increase in the rate of water level and the reduction of water level of the lake with a delay of 4 years have begun since 1998.

How to cite this article:

Nader Fallah, Maasume Sufi and Alireza Abbasi. The Relationship Between Precipitations, Temperature and Water Fluctuation of Lake Zarivar Utilizing Idrisi Software and Statistical Analyses Conducted by SPSS Software.
DOI: https://doi.org/10.36478/rjbsci.2016.10.16
URL: https://www.makhillpublications.co/view-article/1815-8846/rjbsci.2016.10.16