Hydroclimatology Modeling of Water Level of Urmia Lake

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SOUFI M.; ALIJANI B.; BORNA R.; ASADIAN F.

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Paper Information

Journal: IRAN-WATER RESOURCES RESEARCH Year:2020 | Volume:16 | Issue:1 Page(s): 380-393

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Information Journal Paper

Title

Hydroclimatology Modeling of Water Level of Urmia Lake

Author(s)

SOUFI M. | ALIJANI B. | BORNA R. | ASADIAN F. | Issue Writer Certificate

Keywords

Water Levels VariationsQ1

Water FlowQ2

ModelingQ1

Water LevelQ2

Urmia LakeQ2

Abstract

The main purpose of this study is to explore the factors affecting Urmia Lake Water Level variations. Urmia Lake Water Level, rainfall, temperature, river discharge, and groundWater Level data were used to study the relationship between the Urmia Lake Water Level variations and climatic and hydrologic parameters. Urmia Lake Water Level data for 48 years (1965 to 2013) from 27 synoptic meteorology stations of Tabriz, Urmia, and Saqez were used for the rainfall and temperature variables. Also, for adjusting the groundWater Level data, of the 1054 wells, 123 wells with complete data in the studied period were selected. The non-parametric run test was used to determine the homogeneity and randomness of the data and the probability of any trend in time series. The randomness of the variables was examined at an error probability of 0. 05 and their homogeneity was assured. The Mann-Kendall test was used to study trends, leaps, and changes in the independent variables including precipitation, temperature, river discharge, and water table of wells. A review of the Mann-Kendall curves showed that the average annual temperature changes during the study period do not follow a meaningful trend. The Urmia Lake Basin Annual Precipitation Curve showed a decreasing trend in the 48 years. The review of the discharge rate variations showed that the discharge variations from 1965 to 2013 had a significant and downward trend with a leap from the beginning of the statistical period. The water table variations of observation wells followed a significant downward trend in 2006. The results of Pearson correlation test showed that there is a relatively strong correlation between the independent variables (temperature, precipitation, river discharge, and water table) and lake Water Level variations (p<0. 05), indicating the validity and the robustness of the linear relationship between the Water Level and the extent to which this variable is affected by the independent variables.

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APA: Copy

SOUFI, M., ALIJANI, B., BORNA, R., & ASADIAN, F.. (2020). Hydroclimatology Modeling of Water Level of Urmia Lake. IRAN-WATER RESOURCES RESEARCH, 16(1 ), 380-393. SID. https://sid.ir/paper/387916/en

Vancouver: Copy

SOUFI M., ALIJANI B., BORNA R., ASADIAN F.. Hydroclimatology Modeling of Water Level of Urmia Lake. IRAN-WATER RESOURCES RESEARCH[Internet]. 2020;16(1 ):380-393. Available from: https://sid.ir/paper/387916/en

IEEE: Copy

M. SOUFI, B. ALIJANI, R. BORNA, and F. ASADIAN, “Hydroclimatology Modeling of Water Level of Urmia Lake,” IRAN-WATER RESOURCES RESEARCH, vol. 16, no. 1 , pp. 380–393, 2020, [Online]. Available: https://sid.ir/paper/387916/en

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