Evaluation of major anions, halide ions, nitrogen, and phosphorus contents in groundwater from shallow hand-dug wells near Ona River, Ibadan, Nigeria

Ganiyu, S. A.; Olurin, O. T.; Azeez, Mayowa Akeem; Jegede, O. A.; Okeh, Anthony; Kuforiji, H. I.

doi:10.1007/s13762-021-03475-z

Cited by 5 publications

(2 citation statements)

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“…Water quality can be affected by natural and artificial environmental factors, natural sources such as water treatment plants and surface runoff can be a source of contamination for the most polluted water sources (El-Kholy et al, 2022). The border between settlements and rivers creates contamination related to the analyzed quality parameters (Ganiyu et al, 2022).…”

Section: Water Quality Sanitation Dense Urban Settlementsmentioning

confidence: 99%

Water Sanitation Quality Assessment for Hand-Dug Wells

Sari,

Anggoro,

Sunoko

et al. 2024

RGSA

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Purpose: Public toilet sanitation facilities need to be analyzed for water sanitation quality. This research aims to explain the benefits of hand-well water for sanitation in densely populated communal environments. Theoretical framework: This article presents literature support regarding sanitation, water quality, and pollutant index in Indonesia, regarding water sanitation conditions in dense urban organizations. Method: Comprehensive data on the quality of water sanitation used by people in dense settlements. Data was collected in the form of water as a laboratory test from 24 random dug wells in four sub-districts in Bandung City and analyzed by the regulations of the Minister of Health of the Republic of Indonesia. Results and Discussion: The research results show that an average of 75% of air wells are contaminated based on water sanitation quality and pollutant index based on Minister of Health Regulation Number 32 of 2017 and Number 2 of 2023 concerning Indonesian Environmental Health and Water Health Quality Standards. Research Implications: Our findings are important for policymakers, health workers, public health practitioners, and so that the community provides public toilet facilities that can be monitored and receive government attention to improve their quality. Originality/Value: The novelty of this research lies in that it presents a comprehensive assessment of water quality indices and physical, chemical, and microbiological parameters of hand wells in dense urban organizations.

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Section: Water Quality Sanitation Dense Urban Settlementsmentioning

confidence: 99%

Water Sanitation Quality Assessment for Hand-Dug Wells

Sari,

Anggoro,

Sunoko

et al. 2024

RGSA

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“…The first principal component explains the majority of the total variance in a data set, while the remainder of the variance is then explained by the other components. In PCA, only components with an eigenvalue .1 were selected and then subjected to the varimax rotation before being used for interpretation (Kaiser 1960;Ganiyu et al 2021).…”

Section: Factor Analysis/principal Component Analysismentioning

confidence: 99%

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

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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