Comprehensive understanding of groundwater quality and hydrogeochemistry for the sustainable development of suburban area of Visakhapatnam, Andhra Pradesh, India

Rao, N. Subba; Srihari, Ch.; Spandana, B. Deepthi; Sravanthi, M; Kamalesh, T.; Jayadeep, V. Abraham

doi:10.1080/10807039.2019.1571403

Cited by 86 publications

(15 citation statements)

References 69 publications

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“…Drilling mud and oil can contaminate streams, lakes, and land, making them unsuitable Venkatayogi [111], Subba Rao et al [112], and Subba Rao and Chaudhary [113]. Factor 6 accounted for 6.02% of the entire variance with pH (0.742), conductivity (0.711) and hardness (0.438) have moderate positive contribution.…”

Section: Analysis]mentioning

confidence: 99%

Statistical and Multivariate Techniques to Trace the Sources of Ground Water Contaminants and Affecting Factors of Groundwater Pollution in an Oil and Gas Producing Wetland in Rivers State, Nigeria

Raimi

Ezekwe

Abiodun

2021

Preprint

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Background: Groundwater is an important source of drinking water for the indigenous communities of Ebocha-Obrikom. Access to safe drinking water, in particular, is critical to one's health and, by extension, one's income and well-being. Underground wells are the primary supply of drinking water in the Niger Delta, and the groundwater is not always treated before consumption. As a result, water continues to be a vital environmental component that affects both humans and other life forms. Objectives: The aims of the research is to trace the sources and affecting factors of groundwater pollution via statistical and multivariate statistical techniques. Method: The investigation made use of standard analytical procedures. All sampling, conservation, transportation and analysis followed standard procedures described in APHA (2012). To prevent degradation of the organic substances, all obtained samples were transferred to the laboratory, while keeping in an icebox. Results: The study reveals that the greater the number of principal components extracted the greater variation in geochemical composition of the ground waters. It indicated that 34 parameters were distributed into six (6) and nine (9) principal components (PCs) extracted for groundwater samples for both rainy and dry seasons, potentially suggesting the input of different pollutants from different sources. Gas flaring, mineral dissolution/precipitation and anthropogenic input are the main sources of the physicochemical indices and trace elements in the groundwater. Groundwater chemistry is predominantly regulated by natural processes such as dissolution of carbonates, silicates, and evaporates and soil leaching, followed by human activities. Climatic factors and land use types are also important in affecting groundwater chemistry. Conclusion: Greater efforts should be made to safeguard groundwater, which is hampered by geogenic and anthropogenic activities, in order to achieve sustainable groundwater development. As a result, communities are recommended to maintain a groundwater management policy to ensure long-term sustainability. The study is useful for understanding groundwater trace sources in Rivers State's Ebocha-Obrikom districts. Such understanding would enable informed mitigation or eradication of the possible detrimental health consequences of this groundwater, whether through its use as drinking water or indirectly through consumption of groundwater-irrigated crops. As a result, determining its primary probable source of pollution (MPSP) is critical since it provides a clearer and more immediate interpretation. Furthermore, the research findings can be used as a reference for groundwater pollution prevention and water resource protection in the Niger Delta region of Nigeria.

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Section: Analysis]mentioning

confidence: 99%

Statistical and Multivariate Techniques to Trace the Sources of Ground Water Contaminants and Affecting Factors of Groundwater Pollution in an Oil and Gas Producing Wetland in Rivers State, Nigeria

Raimi

Ezekwe

Abiodun

2021

Preprint

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“…Nitrate contamination usually occurs due to agricultural activities and applying fertilizers (Wakida & Lerner, 2005). The presence of high concentrations of heavy metals like Fe, Al, Mn, Pb, Cu and Ni, as well as, many cations and anions in groundwater was excessively reported (Gaber et al, 2013;Li, 2016;SubbaRao et al, 2019;Katuva et al, 2020). As contaminants and ions contained in soils dissolve through the recharge water, they reach finally the groundwater aquifer, causing deterioration of groundwater quality (SubbaRao et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Impact of Domestic Wastewater Treatment Plants on the Quality of Shallow Groundwater in Qalyubia, Egypt; Discrimination of Microbial Contamination Source Using BOX-PCR

2020

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M UNICIPAL sewage, septic tanks, fertilizers, animal feedlots and irrigation wastewater are the common sources of groundwater pollution in rural areas. Sedimentation pools of wastewater treatment plants are possibly suggested to be another source of pollution. Two wastewater treatment plants located at Qalyubia governorate named Qalyub (QWTP) and Shubra Al-khayma (SHWTP) were selected to carry out the present study; two samples from influent and effluent were collected seasonally from both plants. Furthermore, 6 groundwater samples were collected from nearby rural houses of both plants. The physicochemical and microbiological properties were evaluated for all samples. Moreover, Box-PCR for 12 strains isolated from wastewater and groundwater at Qalyub district was carried out. Water quality assessment studies proven that the effectiveness of the two wastewater treatment plants under investigation is questionable, especially QWTP. The percentages of removing of TSS, COD, BOD, ammonia, total coliform and fecal coliform counts were 87, 74, 88, 66, 94 and 89%, respectively, for QWTP, and 85, 89, 93, 86, 94 and 83%, respectively, for SHWTP. The groundwater at Qalyub district was contaminated with Mn, Fe, ammonia, BOD, coliform bacteria, fecal streptococci, E. coli, Aerumonas hydrophilla and Pseudomonas aeruginosea, while the groundwater at Shubra Al-khayma district was contaminated with Mn, coliform bacteria, fecal streptococci and P. aeruginosea. Microbial and chemical evaluation of groundwater, as well as, Box-PCR results proven that, the contamination of the tested groundwater might be of other source than water treatment plants.

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“…To calculate the drinking water quality, the groundwater quality parameters pH, Temp, Conductivity, BOD, Nitrate+Nitrite, Fecal Coliform and Total Coliform were considered. The most frequently used water quality assessment method WAWQI used in this study which was employed in several earlier studies [44][45][46][47]. In order to assess the groundwater quality, first we should assign the weight for the above 7 groundwater quality parameters basing on their importance with respect to drinking purposes.…”

Section: Assessment Of Groundwater Quality Grade Through Wqimentioning

confidence: 99%

An Enhanced Weight Update Method for Simplified ARTMAP to Classify Groundwater Data

Kiran¹,

Chaparala²,

Radhika³

2021

IJDNE

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The groundwater for aquatic purposes must be assessed prior to its consumption. Huge number of conventional methods are existing for assessing the quality of groundwater. The water quality index is one of the important conventional methods to assess the groundwater quality. But the conventional methods alone are not enough to assess groundwater quality as well as classify based on its purity. In this paper, we propose an enhanced weight update method for Simplified Fuzzy Adaptive Resonance Theory model to classify the groundwater quality depending on the relative weights of the groundwater quality parameters. Finding the optimal weights is the key to achieve better accuracy of the model, most of the nonlinear models fails to exhibit good accuracy if they fail to learn the optimal weights in the learning process. The aim of the work is to find the good fit between the predicted and the actual groundwater quality grades by identifying the optimal weights of the network by the enhanced weight update method. The Simplified Fuzzy Adaptive Resonance Theory map with the enhanced weight update method performance is justified by comparing it with the Simplified Fuzzy Adaptive Resonance Theory Map. The enhanced weight update method improves the accuracy of the Simplified Fuzzy Adaptive Resonance Theory Map in classifying and predicting the groundwater quality.

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Comprehensive understanding of groundwater quality and hydrogeochemistry for the sustainable development of suburban area of Visakhapatnam, Andhra Pradesh, India

Cited by 86 publications

References 69 publications

Statistical and Multivariate Techniques to Trace the Sources of Ground Water Contaminants and Affecting Factors of Groundwater Pollution in an Oil and Gas Producing Wetland in Rivers State, Nigeria

Statistical and Multivariate Techniques to Trace the Sources of Ground Water Contaminants and Affecting Factors of Groundwater Pollution in an Oil and Gas Producing Wetland in Rivers State, Nigeria

Impact of Domestic Wastewater Treatment Plants on the Quality of Shallow Groundwater in Qalyubia, Egypt; Discrimination of Microbial Contamination Source Using BOX-PCR

An Enhanced Weight Update Method for Simplified ARTMAP to Classify Groundwater Data

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