Hydrogeochemical assessment of groundwater in Kaltungo and Environs, northeastern Nigeria.

Ishaku, J. M.; Abdulhakeem, A

doi:10.4314/gjgs.v8i2.62773

Cited by 6 publications

(13 citation statements)

References 5 publications

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“…The principal component analysis (PCA) is a multivariate statistical technique that can use mutual correlation coefficients to relate variables to principal components or factors. When used in hydrochemistry, these may be interpreted based on specific or multiple hydrochemical processes like mineralization, lithology and environmental processes 8,55 .…”

Section: Discussionmentioning

confidence: 99%

Metal and Microbial Contamination in the Water Available for Agriculture in Selected Farm Settlements in Nigeria

Folarin,

Badmus,

Akinyemi

et al. 2023

Trends Agric. Sci

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Background and Objective: Several diseases have been reportedly linked to the consumption of water with metal and/or microbial contamination, or agricultural produce watered by such method. This study assessed the water available for agriculture in three selected farm settlements in Southwestern Nigeria. Materials and Methods: As 15, 12 and 5 water samples from the Ajegunle, Akufo and Eruwa farm settlements, respectively were analyzed for 11 heavy and trace metals and 7 microbial populations, using standard laboratory procedures, for dry and wet seasons. Analysis of Variance (ANOVA) and Duncan's Multiple Range Tests were done using SPSS, version 20. Pollution sources were apportioned using Principal Component Analysis while seasonal spatial variation maps were generated via the Inverse Density Weighted method. Results: Water from the three farm settlements showed possibilities of cadmium, iron, manganese, E. coli and streptococcal contaminations. The pollution sources identified were bedrock weathering, fertilizer/agricultural waste/run-off leachates, agricultural activities, fecal contamination, livestock agricultural wastes, sewage effluents and organic decomposition. Spatial maps showing the existing distributions of selected metals and microbial populations within Ajegunle and Akufo farm settlements were produced. Conclusion: This research has generated information for the eradication or substantial reduction of the potential harm of metal and microbial contamination to the farm settlers and consumers of their agricultural produce.

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Section: Discussionmentioning

confidence: 99%

Metal and Microbial Contamination in the Water Available for Agriculture in Selected Farm Settlements in Nigeria

Folarin,

Badmus,

Akinyemi

et al. 2023

Trends Agric. Sci

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“…The following standard formulas (Eqs.11-15) were used to calculate the sodium percentage (Na%) (Ishaku et al, 2011;Richards, 1954), sodium adsorption ratio (SAR) (Richards, 1954), magnesium adsorption ratio (MAR) (Raghunath, 1987), Kelly's ratio (KR) (Kelley, 1963), and permeability index (PI) (Doneen, 1964) in order to determine whether or not the groundwater samples were suitable for irrigation. All concentrations were expressed in meq/L.…”

Section: Calculation Of Irrigation Water Quality Parametersmentioning

confidence: 99%

“…The use of agrochemicals, excessive recharge, and the dumping of untreated sewage are some factors that affect the ionic composition of groundwater and higher or lower concentrations of chemical substances than what is wanted in drinking water influence human body, posing significant health risks (Ghimire, Kayastha, Regmi, & Bhuiyan, 2023;Kelepertsis, Alexakis, & Skordas, 2006;Rajmohan & Elango, 2006;Vasanthavigar, Srinivasamoorthy, Rajiv Ganthi, Vijayaraghavan, & Sarma, 2012). The assessment and determination of groundwater quality like chemical, physical and physicochemical as well as biological status its essential or too important for utilisation safely, illness prevention, and societal advancement, but sadly, impoverished nations like Nepal do not prioritise assessing the quality of their water (Chandrashekhar Bhuiyan & Champati Ray, 2017;Ghimire et al, 2023;Ishaku, Ahmed, & Abubakar, 2011).…”

Section: Introductionmentioning

confidence: 99%

Predictive Integrated Groundwater Quality Index in Central Terai of Nepal for Drinking and Agriculture Use: An Advanced Geospatial Analysis with Indices (EWQI, IWQI) and ANN Modelling

Shrestha,

Zhihou

2024

Preprint

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The availability of clean and safe drinking water sources has come under scrutiny due to the degradation of water quality caused by a variety of anthropogenic and natural factors. In Nepal's Central Terai region, water quality is crucial to sustaining the environment and public health, 25 samples of shallow groundwater a thorough analysis were carried out to evaluate the quality of groundwater in Central Terai, Nepal, where it is crucial for fulfilling these basic requirements. To assist the integrated groundwater quality index of the study area the groundwater quality index such as Sodium Adsorption Ratio (SAR), Magnesium Absorption Ratio (MAR), Sodium Percentage (Na%), Permeability index (PI), Kelly’s ratio (KR), Irrigation water quality index (IWQI) and Entropy Weighted Water Quality Index (EWQI) was determine which sows the value of water quality is moderate (76%) to highly (16%) vulnerable of the study area. The discovery that a number of chemical characteristics, including calcium, magnesium, iron, phosphate, sodium, potassium, and salt, exceeded WHO criteria raises concerns since it may be the result of uncontrolled fertiliser usage and geological interactions. One encouraging finding was that the EWQI determined that most groundwater samples were fit for human consumption. A small percentage of the samples, nonetheless, did not meet the suggested standards, underscoring the importance of exercising caution while safeguarding this essential resource. The IWQI showed that several of the samples ware suitable when it came to irrigation. The use of Artificial Neural Network (ANN) for the prediction of the integrated groundwater quality index vulnerability is significant with the validation value R=0.998 and the regression coefficient (R2) is 0.996. To stop the quality of the groundwater from further declining and to safeguard public health, these zones need specific solutions. For, the purpose of developing efficient plans for managing water resources and mitigating causes of pollution, this research is a great resource for those in charge of making decisions in the area.

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“…According to Table 2, Ca +2 > SO4 −2 , indicating a calcite/dolomite source [18,66]. Sodium concentration is an important parameter used for the classification of irrigation water quality [68]. The level presence of sodium in water is important as it the minerals of clay and erosion and drainage problems as well as the potential for distributing structural stability.…”

Section: Groundwater Qualitymentioning

confidence: 99%

Detection of Groundwater Quality Changes in Minia Governorate, West Nile River

et al. 2023

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The need for freshwater supplies is increasingly rising according to the increase in the inhabitants’ expansion and economic growth. Available water resources are reduced by pollution and overpumping. This research’s prime objective is to study changes in the water quality of the Pleistocene aquifer in Minia Governorate. Historical hydro-chemical data of the groundwater in two years 2009 and 2019 were used to study the changes in the groundwater quality of the Pleistocene aquifer under the impact of the recharge and discharge processes. The Nile River, and the Al-Ibrahimia and Bahr Youssef Canals are considered the main sources of aquifer recharge. Collected data from 53 groundwater wells in the Pleistocene aquifer were used to calculate the sodium adsorption ratio (SAR), sodium percentage (Na%), Kelly index (KI), Soluble Sodium Percentage (SSP), magnesium ratio (MR%), permeability index (PI) and chloro-alkaline index (CAI). These data were used to evaluate and detect the quality and changes in groundwater through the years 2009 and 2019 using spatial mapping in the geographic information system (GIS). The values of SAR, KI and Na% varied between 0.06–1.22, 0.02–0.57 meq/L and 3.7–37.63%, respectively, in the year 2009, but these values changed to 0.4–0.75, 0.16–0.28 meq/L and 15.07–23.44% in the year 2019. The calculated MR and PI values indicate that 100% of the groundwater samples were in the “suitable” category. The calculated SSP reflects no changes in groundwater alkalinity between the years 2009 and 2019. The hydro-chemical analysis of the studied groundwater (G.W.) samples shows high pollution levels caused by Pb and Fe in some parts of the study area. Pb was found to be >40 µg/L in the middle parts, whereas Fe was found with high levels in 27% of the studied groundwater samples. The localities of these samples were affected by pollution from the industrial wastewater from the sugar factory of Abou-Qarqas city (e.g., El-Moheet drain), the fertilizer leaching process and pesticides seeping into groundwater from soils and agricultural wastewater.

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Hydrogeochemical assessment of groundwater in Kaltungo and Environs, northeastern Nigeria.

Cited by 6 publications

References 5 publications

Metal and Microbial Contamination in the Water Available for Agriculture in Selected Farm Settlements in Nigeria

Metal and Microbial Contamination in the Water Available for Agriculture in Selected Farm Settlements in Nigeria

Predictive Integrated Groundwater Quality Index in Central Terai of Nepal for Drinking and Agriculture Use: An Advanced Geospatial Analysis with Indices (EWQI, IWQI) and ANN Modelling

Detection of Groundwater Quality Changes in Minia Governorate, West Nile River

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