63248

Using Piper trilinear diagrams and principal component analysis to determine variation in hydrochemical faces and understand the evolution of groundwater in Sidi Slimane Region,

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Last updated: 01 Jan 2025

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Abstract

The water quality of groundwater is one of the most important issues for development and life societies. The chemical parameters of the groundwater play a significant role in classifying and assessing water quality. In this study, twenty samples were collected from different locations in a rural region to determine the hydrochemical facies characteristics and understand the evolution of groundwater quality in the Sidi Slimane area in Morocco. Piper trilinear diagram and principal component analysis (PCA) were used to find out the major contributing parameters involved in groundwater samples. The results showed that the analytical values obtained when plotted on Piper's plots revealed that the alkalis (Sodium, Potassium), are significantly dominant over alkaline earth metals (Calcium, Magnesium) and the strong acidic anions (Chlorides, Sulfates) dominant over the weak acidic anions (Carbonates and Bicarbonates). Piper trilinear diagram classified 90 % of the samples from the study area under Na+- K+ - Cl- - SO42- type and only 10 % samples under Ca2+- Mg2+- Cl--SO42- type.  the Piper plots highlighted that the groundwater is dominant of Na–Cl type and the water types originating from halite dissolution (saline) in the study area. Also, correlation matrix showed that 95%, 100%, 65%, 75%, 65% and 55% of the examined groundwaters exhibit higher concentration of Sodium, Ammonium, Calcium, Electrical Conductivity EC, Chloride, and Nitrate respectively than the maximum acceptable limit of the Moroccan's standards for drinking water.  PCA suggests a significant mutual positive correlation between two main groups of parameters (EC, Ca2+, Mg2+, K+, Na+, HCO3- and Cl-) and (pH, NH4+, SO42-, and NO3-). The output of  PCA analysis is in confirmation with that of the Piper trilinear diagram and the correlation matrix to identify the characteristics of the samples and aid to comprehend their spatial distribution.

DOI

10.21608/ejabf.2019.63248

Keywords

Groundwater quality, Piper trilinear diagram, Sidi Slimane, Correlation matrix, Morocco

Authors

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Nabil

Last Name

Darwesh

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aboali3000@gmail.com

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Orcid

0000-0002-2629-5818

First Name

Mona

Last Name

Allam

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monaecri@yahoo.com

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First Name

Qingyan

Last Name

Meng

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First Name

Al Aizari

Last Name

Helfdhallah

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alaizari2@gmail.com

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0000-0003-2080-7955

First Name

Naser

Last Name

Ramzy S. M.

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First Name

Khadija

Last Name

El Kharrim

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k_elkharrim@hotmail.com

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First Name

Ali

Last Name

A. Al Maliki

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malikia024@gmail.com

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First Name

Driss

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Belghyti

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Volume

23

Article Issue

5 (Special Issue)

Related Issue

9471

Issue Date

2019-12-01

Receive Date

2019-10-17

Publish Date

2019-12-01

Page Start

17

Page End

30

Print ISSN

1110-6131

Online ISSN

2536-9814

Link

https://ejabf.journals.ekb.eg/article_63248.html

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https://ejabf.journals.ekb.eg/service?article_code=63248

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2

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Original Article

Type Code

103

Publication Type

Journal

Publication Title

Egyptian Journal of Aquatic Biology and Fisheries

Publication Link

https://ejabf.journals.ekb.eg/

MainTitle

Using Piper trilinear diagrams and principal component analysis to determine variation in hydrochemical faces and understand the evolution of groundwater in Sidi Slimane Region,

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Article

Created At

22 Jan 2023