Seawater Intrusion and Nitrate Pollution in Coastal Aquifer of Marathon Basin

Papazotos, Panagiotis; Koumantakis, I.; Vasileiou, Eleni

doi:10.12681/bgsg.11797

Cited by 8 publications

(2 citation statements)

References 4 publications

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“…The change of water chemistry along the groundwater flow paths within the urban area suggests an anthropogenic influence, which can also be complemented by natural processes such as rainfall freshening (Erostate et al, 2018;Zendehbad et al, 2019). These sources of contamination had already been observed in other elsewhere studies (e.g., Bouchaou et al, 2008;Christina et al, 2014;Mtoni et al, 2013;Najib et al, 2016;Papazotos et al, 2017;Zghibi et al, 2013), but not in such combined way as observed in the present study. These results highlight the particularity of coastal aquifers as systems subjected to multi-sourced and cumulative stresses.…”

Section: -supporting

confidence: 81%

Identifying groundwater degradation sources in a Mediterranean coastal area experiencing significant multi-origin stresses

Boumaiza

Chesnaux

Drias

et al. 2020

Science of The Total Environment

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Section: -supporting

confidence: 81%

Identifying groundwater degradation sources in a Mediterranean coastal area experiencing significant multi-origin stresses

Boumaiza

Chesnaux

Drias

et al. 2020

Science of The Total Environment

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“…This figure divides water quality appropriateness into five zones: In addition, the Wilcox classification [59] graph is based on the percentage of soluble sodium (Na%). It is also applied to assess the quality of groundwater and its suitability for use in irrigation [60,61]. Groundwater in the study area is doubtful and unsuitable for irrigation (Figure 7).…”

Section: Groundwater Quality For Irrigationmentioning

confidence: 99%

Assessment and Prediction of the Water Quality Index for the Groundwater of the Ghiss-Nekkor (Al Hoceima, Northeastern Morocco)

et al. 2022

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Water quality index (WQI) is the primary method applied to characterize water quality in the world. The current study employed the statistical analysis and multilayer perceptron (MLP) approaches for predicting groundwater quality in the Ghiss-Nekkor aquifer, northeast of Al Hoceima, Morocco. Fifty sampled groundwater were identified and analyzed for major anions and cations throughout May 2019. Several physicochemical parameters of all the samples were identified in this investigation, such as TDS, pH, EC, Na, K, Ca, Mg, HCO3, NO3, Br, SO4, and Cl. The entropy-weighted groundwater quality index (EWQI) was calculated from these parameters. The WQI procedure determined the suitability of groundwater for consumption. The WQI value varied from 90.98 to 337.28. The EC, TDS, WQI, and Cl- spatial distribution showed that EC and Cl- are associated with poor groundwater quality. A single sample (W16) represented unsuitable water for drinking purposes and offered a WQI value of 337.28, indicating poor drinking quality due to seawater intrusion, overexploitation, and harsh weather conditions. The majority of the values obtained for the parameters exceeded the recommended limit of the World Health Organization (WHO)’s guidelines for consumption. The findings show that using parameters is a straightforward method for predicting water quality indexes with sufficient and suitable precision. The MLP model shows good predictive performances in terms of the coefficient of determination R2, mean absolute error (MAE), and root-mean-square error (RMSE) with values of 0.9885, 5.8031, and 4.7211, respectively. The ANN approach was applied to develop a model that can accurately predict WQI utilizing mineralization, TH, NO3, and NO2 as inputs. The MAE for the model’s performance was calculated to be 4.72. A Bland–Altman test was used to validate that the model is suitable. Following the test, it was determined that the model is appropriate for predicting WQI, with an error of just 0.1%.

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Assessment of hydrogeochemical status of groundwater in a coastal region of Southeast coast of India

et al. 2018

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A study was conducted in a coastal region of Cuddalore district of Tamil Nadu, India, to identify the hydrogeochemical processes controlling the groundwater chemistry. The major geological units of the study area are sandstone, clay, alluvium, and laterite soils of Tertiary and Quaternary age. A total of 64 groundwater samples were measured for major ions and stable isotopes. Higher electrical conductivity values indicate the poor quality groundwater along the coastal region. Saline water intrusion mainly affects the hydrochemical composition of the aquifer water reflected by Na-Cl-type waters. Cl − / (Cl − + HCO 3 − ) ratio also indicates the mixing of fresh groundwater with saline water. The results of δD and δ 18 O analyses show that isotopic compositions of groundwater ranges from − 7.7 to − 2.1‰ for δ 18 O and from − 55.6 to − 18.5‰ for δD. Correlation and factor analysis were carried out to find the association of ions and to determine the major factors controlling the groundwater chemistry of the region. The study indicates that ion exchange, weathering, salt water intrusion along the coast, and anthropogenic impacts are the major controlling factors for the groundwater chemistry of the region.

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Seawater Intrusion and Nitrate Pollution in Coastal Aquifer of Marathon Basin

Cited by 8 publications

References 4 publications

Identifying groundwater degradation sources in a Mediterranean coastal area experiencing significant multi-origin stresses

Identifying groundwater degradation sources in a Mediterranean coastal area experiencing significant multi-origin stresses

Assessment and Prediction of the Water Quality Index for the Groundwater of the Ghiss-Nekkor (Al Hoceima, Northeastern Morocco)

Assessment of hydrogeochemical status of groundwater in a coastal region of Southeast coast of India

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