Evaluation of Non-Parametric Methods in Statistical Analysis of Hydrological Changes in Rivers of The Western Urmia Lake Basin

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Faghani Monireh; Aligholinia Tohid

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Journal Paper

Paper Information

Journal: JOURNAL OF AQUIFER AND QANAT Year:2024 | Volume:5 | Issue:2 Page(s): 175-188

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Information Journal Paper

Title

Evaluation of Non-Parametric Methods in Statistical Analysis of Hydrological Changes in Rivers of The Western Urmia Lake Basin

Author(s)

Faghani Monireh | Aligholinia Tohid | Issue Writer Certificate

Keywords

non-parametric test

distribution function

trend analysis

flow regime

Abstract

Trend analysis in hydrological time series is a fundamental aspect of water resources management, especially in regions experiencing significant environmental and climatic changes. The presence of non-stationarity, often due to natural and anthropogenic factors, can lead to gradual changes in river flow regimes. Detecting these trends is crucial for the sustainable planning and operation of water infrastructure and for understanding the broader impacts of climate variability. While parametric statistical methods have traditionally been used for such analyses, their reliance on assumptions like normality and independence can limit their applicability to hydrological data, which are often non-normal and contain outliers. Consequently, nonparametric methods have gained prominence due to their robustness and flexibility. Materials and Methods: This study utilizes annual mean discharge data from 15 hydrometric stations in West Azerbaijan Province, Iran, covering a minimum period of 25 years (1986–2011) with less than 5% missing data. Data quality was ensured through homogeneity testing (Wilcoxon test) and randomness assessment (Runs test), and missing values were reconstructed where necessary.

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