A hydrogeochemical appraisal and multivariate statistical analysis of seawater intrusion in point calimere wetland, lower Cauvery region, India

Kumar, P. J. Sajil; Jegathambal, P.; Babu, B. T. Suresh; Kokkat, Aswin; James, E. J.

doi:10.1016/j.gsd.2020.100392

“…Component 1 can be termed "the salinization component" because the major elements are characteristic of seawater. Component 1 exhibits in the recharge area upstream of the Ghiss-Nekor plain could also explain the moderately positive loading of Ca2+ and SO 4 2− in the rst component(Kumar et al, 2020). In summary, the salinization component in our study area could originate from geogenic processes such as evaporation, water-rock processes, and SWI.…”

mentioning

confidence: 57%

“…positive loadings for EC (0.984), Na (0.943), Cl (0.959), Mg (0.923), and moderately positive loadings of K (0.778), Ca (0.627), and SO 4 (0.537) indicating a potential in uence by SWI(Badmus et al, 2020;Balasubramanian et al, 2022;Kumar et al, 2020;Tiwari et al, 2019;Wang et al, 2022). This inference is reinforced by the high concentrations of Cl − and K + found near the shoreline.…”

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confidence: 95%

A geochemical approach in assessing seawater intrusion by integrating geospatial techniques: a case study of Ghiss-Nekor coastal aquifer, Central Rif of Morocco

BOURJILA

¹

,

Dimane

²

,

GHALIT³

et al. 2023

Preprint

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For effective coastal aquifers management, it is strongly required to effectively analyze seawater intrusion (SWI). This study used an integrated approach of hydrogeochemical, statistical, geological, and geospatial techniques to assess the extent of SWI in the Ghiss-Nekor aquifer by evaluating the physicochemical parameters of 52 groundwater samples. Two main groundwater facies were identified, Na-Cl (38%) and Ca-Mg-Cl-SO4 (62%). The correlation matrix and a principal component analysis (PCA) depicted that the high salinization in the study area is influenced by both geogenic and anthropogenic factors, including a potential mixing with seawater. A single indicator or a small number of techniques were insufficient to evaluate SWI owing to the multiple causes of salinization in the study area. As a result, we coupled various geochemical indicators with geospatial methods to assess this complicated phenomenon. Accordingly, several ionic ratios (Cl/HCO3, SO4/Cl, Na/Cl, and Mg/Mg+Ca) and SWI indices (GQIswi and SMI) were overlaid to generate the final map that highlights the regions prone to SWI. Most of the SWI spots were discovered within two kilometers or less from the coast. The saline water detected far from the coast was interpreted as the encroachment of seawater from the Souani area being trapped where the clay-marly substratum is deep. These results support the application of geospatial tools to manage groundwater resources in water-stressed areas with complex aquifer systems, by combining various ionic ratios and indices. These findings will assist decision-makers in the Al Hoceima region in developing suitable groundwater management plans and strategies.

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“…Component 1 exhibits positive loadings for EC (0.984), Na (0.943), Cl (0.959), Mg (0.923), and moderately positive loadings of K (0.778), Ca (0.627), and SO4 (0.537) indicating a potential influence by SWI (Badmus et al, 2020;Balasubramanian et al, 2022;Kumar et al, 2020;Tiwari et al, 2019;Wang et al, 2022). This inference is reinforced by the high concentrations of Cland K + found near the shoreline.…”

Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

A geochemical approach in assessing seawater intrusion by integrating geospatial techniques: a case study of Ghiss-Nekor coastal aquifer, Central Rif of Morocco

BOURJILA

¹

,

Dimane

²

,

GHALIT³

et al. 2022

Preprint

2

0

View full text Add to dashboard Cite

For effective coastal aquifers management, it is strongly required to effectively analyze seawater intrusion (SWI). This study used an integrated approach of hydrogeochemical, statistical, geological, and geospatial techniques to assess the extent of SWI in the Ghiss-Nekor aquifer by evaluating the physicochemical parameters of 52 groundwater samples. Two main groundwater facies were identified, Na-Cl (38%) and Ca-Mg-Cl-SO4 (62%). The correlation matrix and a principal component analysis (PCA) depicted that the high salinization in the study area is influenced by both geogenic and anthropogenic factors, including a potential mixing with seawater. A single indicator or a small number of techniques were insufficient to evaluate SWI owing to the multiple causes of salinization in the study area. As a result, we coupled various geochemical indicators with geospatial methods to assess this complicated phenomenon. Accordingly, several ionic ratios (Cl/HCO3, SO4/Cl, Na/Cl, and Mg/Mg+Ca) and SWI indices (GQIswi and SMI) were overlaid to generate the final map that highlights the regions prone to SWI. Most of the SWI spots were discovered within two kilometers or less from the coast. The saline water detected far from the coast was interpreted as the encroachment of seawater from the Souani area being trapped where the clay-marly substratum is deep. These results support the application of geospatial tools to manage groundwater resources in water-stressed areas with complex aquifer systems, by combining various ionic ratios and indices. These findings will assist decision-makers in the Al Hoceima region in developing suitable groundwater management plans and strategies.

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“…Seawater intrusion and anthropogenic activities lead to the danger of salinization in groundwater resources in coastal areas ( Jayathunga et al 2020). Kumar et al (2020) revealed that hydro-chemical analysis and multivariate statistical methods can be combined in the determination of seawater intrusion. Prusty & Farooq (2020) applied mathematical and statistical (HCA) methods to classical hydro-chemical data in their study to investigate the suitability of groundwater in coastal areas for irrigation and the status of seawater intrusion.…”

Section: Introductionmentioning

confidence: 99%

Groundwater quality assessment using principal component analysis and hierarchical cluster analysis in Alaçam, Turkey

Taşan

¹

,

Demir

²

,

Taşan

³

2021

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This study assessed groundwater quality in Alaçam, where irrigations are performed solely with groundwaters and samples were taken from 35 groundwater wells at pre and post irrigation seasons in 2014. Samples were analyzed for 18 water quality parameters. SAR, RSC and %Na values were calculated to examine the suitability of groundwater for irrigation. Hierarchical cluster analysis and principal component analysis were used to assess the groundwater quality parameters. The average EC value of groundwater in the pre-irrigation period was 1.21 dS/m and 1.30 dS/m after irrigation in the study area. It was determined that there were problems in two wells pre-irrigation and one well post-irrigation in terms of RSC, while there was no problem in the wells in terms of SAR. Piper diagram and cluster analysis showed that most groundwaters had CaHCO3 type water characteristics and only 3% had NaCl- as the predominant type. Seawater intrusion was identified as the primary factor influencing groundwater quality. Multivariate statistical analyses to evaluate polluting sources revealed that groundwater quality is affected by seawater intrusion, ion exchange, mineral dissolution and anthropogenic factors. The use of multivariate statistical methods and geographic information systems to manage water resources will be beneficial for both planners and decision-makers.

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A hydrogeochemical appraisal and multivariate statistical analysis of seawater intrusion in point calimere wetland, lower Cauvery region, India

Cited by 14 publications

References 36 publications

A geochemical approach in assessing seawater intrusion by integrating geospatial techniques: a case study of Ghiss-Nekor coastal aquifer, Central Rif of Morocco

A geochemical approach in assessing seawater intrusion by integrating geospatial techniques: a case study of Ghiss-Nekor coastal aquifer, Central Rif of Morocco

A geochemical approach in assessing seawater intrusion by integrating geospatial techniques: a case study of Ghiss-Nekor coastal aquifer, Central Rif of Morocco

Groundwater quality assessment using principal component analysis and hierarchical cluster analysis in Alaçam, Turkey

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