Comparison of parametric and non-parametric methods for trend identification in groundwater levels in Sirjan plain aquifer, Iran

Comparison of parametric and non-parametric methods for trend identification in groundwater levels in Sirjan plain aquifer, Iran

In the present study, five parametric and non-parametric methods: linear regression (LR), conventional Mann–Kendall (MK), modified Mann–Kendall (MMK), Spearman's Rho (SR) and Innovative Trend Method (ITM) were used to identify trends in the groundwater levels of 60 piezometers distributed unifo...

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Bibliographic Details
Main Authors: Rasoul Mirabbasi, Farshad Ahmadi, Deepak Jhajharia
Format: Article
Language:English
Published: IWA Publishing 2020-12-01
Series:Hydrology Research
Subjects:
autocorrelation
innovative trend method
iran
mann–kendall
Online Access:http://hr.iwaponline.com/content/51/6/1455

Internet

http://hr.iwaponline.com/content/51/6/1455

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