Evaluation Of Groundwater Quality Research Articles

Groundwater suitability assessment for irrigation and drinking purposes by integrating spatial analysis, machine learning, water quality index, and health risk model.

An in-depth understanding of nitrate-contaminated surface water and groundwater quality and associated risks is important for groundwater management. Hydrochemical characteristics and driving forces of groundwater quality and non-carcinogenic risks of nitrate were revealed by the integrated approaches of self-organizing map analysis, spatial visualization by geography information system, entropy and irrigation water quality indices, and human health risk model. Groundwater samples were categorized into two clusters by SOM analysis. Cluster I including three samples were Ca-SO4 type and cluster II of remaining 136 samples were Ca-HCO3 type. Hydrochemical compositions of two cluster samples were dominated by water-rock interaction: (1) calcite and gypsum dissolution for cluster I samples and (2) calcite dissolution, silicate weathering, and positive cation exchange for cluster II samples. Nitrate contamination occurred in both cluster I and II samples, primarily induced by agricultural nitrogen fertilizer. The EWQI results showed that 90.97% in total groundwater samples were suitable for drinking purpose, while the IWQI results demonstrated that 65.03% in total groundwater samples were appropriate for irrigation purpose. The HHR model and Monte Carlo simulation indicated that the non-carcinogenic nitrated risk was highest in children. Exposure frequency was the most sensitive factor (86.33% in total) influencing the total non-carcinogenic risk, indicated by sensitivity analysis. Compared with the two clusters of groundwater, surface water has a shorter circulation cycle and lower ion concentrations resulting in better water quality. This study can provide scientific basis for groundwater quality evaluation in other parts of the world.

Geochemical Evaluation of Groundwater Quality in the Coastal Aquifers of Kujang Block, Jagatsinghpur District, Eastern Odisha, India

Geochemical Evaluation of Groundwater Quality in the Coastal Aquifers of Kujang Block, Jagatsinghpur District, Eastern Odisha, India

Hydrochemical characteristics assessment and evaluation of groundwater quality through MSTs and irrigation indices

Hydrochemical characteristics assessment and evaluation of groundwater quality through MSTs and irrigation indices

Hydrogeological assessment and contaminant transport modelling of Enyimba landfill site in Aba, Nigeria

ABSTRACT Commercial and industrial growth in cities generates hazardous waste, often disposed of in open dump sites, contaminating groundwater. Understanding pollutant movement and numerical models are crucial for effective water resource management. This study assessed hydrogeological dynamics and pollutant transfer in the Enyimba landfill site, Nigeria, using field surveys and contaminant modelling to understand groundwater quality and arsenic contamination spread. The research technique included field and laboratory experiments, as well as water sampling during both dry and wet seasons, to evaluate groundwater quality. The geochemical examination of groundwater samples revealed the amounts of several metals using atomic absorption spectrophotometry. The study used contaminant transport modelling with Visual MODFLOW Flex 6.1 and MT3DMS software to simulate groundwater flow and solute transport within the aquifer layers. Predictive simulations over a 20-year timeframe demonstrated the progressive spread of arsenic pollution from the landfill, resulting in an ellipsoid-shaped plume stretching from its source. Arsenic levels have gradually increased, posing a serious threat to groundwater quality and human health. The research highlights the need for remedial measures to reduce groundwater pollution, including waste recovery and recycling facilities and geo-membrane use. It emphasizes proactive actions to protect groundwater supplies and promote environmental sustainability in the Enyimba landfill site.

Space-temporal analysis of groundwater quality in three areas of the state of Yucatán, México, and its relationship with existing anthropogenic activity.

Groundwater in the Yucatan State is the only source of water. The karst aquifer in Yucatan is vulnerable to pollution. Anthropic activities in Yucatan, such as pig farming, are usually related to high wastewater discharges and water pollution. Administrative and logistical issues in developing on-site sampling to evaluate water quality are common in Mexico. The RENAMECA database provides official data related to groundwater quality. However, no analysis based on this database has been reported. A groundwater quality evaluation based on five reference pig farms and the effect of spatial and temporal anthropic activities in the study area was developed. Eighteen wells based on their location concerning the selected pig farms were studied. On-site sampling and laboratory analysis of the supply water and wastewater in the study case farm were done. Fecal coliforms (FC) values (maximum 2850 MPN [100mL] -1) in most cases for supply water wells exceeded the allowed limit by NOM-127-SAA1-2021. The year of monitoring was significant (P < 0.05) on FC concentrations. Population density and the proximity of wells to population centers affect negatively the presence of total dissolved solids (TDS) and total nitrogen (TN). TDS (maximum value 2620mg L -1) and phosphorus presence could be related to agricultural activities, human settlements, and local aquifer conditions. A local wastewater treatment issue is evident. Groundwater is not quality for consumption without treatment. Regarding the issues in on-site water monitoring, database analysis provides an approximation of the real situation of groundwater quality.

Groundwater quality evaluation for drinking and irrigation using analytical hierarchy process with GIS in semi critical block of Chhattisgarh, India

Groundwater quality evaluation for drinking and irrigation using analytical hierarchy process with GIS in semi critical block of Chhattisgarh, India

Assessing groundwater quality in semi-arid conditions: a geographic information systems-integrated approach using water quality index

Meeting freshwater demands in water-scarce regions is imperative, given challenges like hydric stress, urbanization, aridity, and population growth. This study focuses on the Tebessa aquifer system, a critical water source facing escalating demands. A primary objective is to identify actionable management strategies to improve groundwater quality dynamics in semi-arid regions. The methodology involves a comprehensive assessment of groundwater health using the Water Quality Index (WQI) approach. This method integrates diverse parameters influenced by intensive agricultural and industrial activities. Additionally, spatial relationship analysis, facilitated by Geographic Information System (GIS) technology, is employed to gain insights into complex hydrogeological processes. The multi-parameter strategy implemented results in water quality maps that highlight various ions, revealing spatial disparities and assigning quality priority classes from 'Good' to 'Poor' across the groundwater. The research, conducted in the semi-arid Tebessa-Morsott Plain, encompasses field and laboratory investigations to delineate hydrochemical traits, including alkalinity, salinity, and heightened ion concentrations. The results of the study contribute to scientific understanding by uncovering interrelationships and spatial intricacies, offering valuable insights for water resource governance. The effectiveness of the methodology, incorporating WQI and GIS, is demonstrated in the comprehensive evaluation of groundwater quality. Ultimately, this research provides a foundation for informed decision-making and sustainable management of groundwater resources in semi-arid regions.

Spatial and seasonal groundwater quality assessment for drinking suitability using index and machine learning approach

Spatial and seasonal evaluation and monitoring of groundwater (GW) quality is essential for the sustainable management of this priceless resource and the provision of safe drinking water. Nevertheless, GW quality appraisal was not given due attention in the current study area (flat terrain part of the Tana sub-basin). This study sought to assess the seasonal and regional physicochemical GW quality parameters for drinking appropriateness using the drinking water quality index (DWQI) and support vector machine (SVM). The main cations in both the dry and wet study seasons were, in decreasing order, Na+, Ca2+, Mg2+, K+, and Fe2+, according to the results. Conversely, the main anions were HCO3−, CO32−, Cl− or NO3−, SO42− and PO43−, ordered from higher to lower. During the two research seasons, Ca–HCO3 and Na–HCO3 were the predominant water types based on Piper diagram results. Reverse ion exchange and evaporation were the principal hydrogeochemical processes that control the hydrogeochemistry identified by Durov and Gibbs diagrams, respectively. Excellent GW quality class for drinking was demonstrated by the majority of geographical and seasonal DWQI readings over the two seasons. Nevertheless, during the rainy season, there was a noticeable decline in the GW quality condition around the northern shores of Lake Tana. Therefore, it is advised to implement comprehensive GW quality protection measures and improve system management to mitigate pollution to reduce health hazards in the examined region.

Application of bioassays and physicochemical analysis for assessing groundwater quality of selected tube wells in a CKDu impacted area

Groundwater from tube and dug wells are primarily used for drinking purposes by rural communities inhabiting Chronic Kidney Disease of unknown aetiology (CKDu) impacted areas in Sri Lanka. Groundwater safety assessment using targeted physicochemical analysis alone is not adequate to capture interactive effects of chemical mixtures in the groundwater. This study explored for the first time combined use of physicochemical analysis and bioassays with root meristems of Allium cepa and erythrocytes of Cyprinus carpio to assess groundwater quality of selected tube wells in Medawachchiya (a CKDu impacted area), Sri Lanka covering pre-monsoon, monsoon and postmonsoon seasons. The pH, turbidity, arsenic, cadmium, lead, mercury, fluoride, chloride, nitrate and nitrite levels in the groundwater complied with Sri Lanka standards for potable drinking water in all seasons. Yet, alkalinity and total hardness levels in the groundwater exceeded national drinking water standards (nearly up to two folds) mostly in the monsoon season. Bioassays revealed genotoxic effects of the groundwater of some tube wells in pre-monsoon and monsoon seasons. Observed genotoxicity may be associated with synergistic effects of contaminants including undetected and unknown chemicals in the groundwater depending on the season. The results support the use of bioassays as complementary tools for evaluating groundwater quality of CKDu hotspots considering consumer safety.

Geospatial evaluation of groundwater quality in an industrialized district of Haryana, India, using an integrated approach

Geospatial evaluation of groundwater quality in an industrialized district of Haryana, India, using an integrated approach

Integrating machine learning models with cross-validation and bootstrapping for evaluating groundwater quality in Kanchanaburi province, Thailand

Exploring the potential of new models for mapping groundwater quality presents a major challenge in water resource management, particularly in Kanchanaburi Province, Thailand, where groundwater faces contamination risks. This study aimed to explore the applicability of random forest (RF) and artificial neural networks (ANN) models to predict groundwater quality. Particularly, these two models were integrated into cross-validation (CV) and bootstrapping (B) techniques to build predictive models, including RF-CV, RF-B, ANN-CV, and ANN-B. Entropy groundwater quality index (EWQI) was converted to normalized EWQI which was then classified into five levels from very poor to very good. A total of twelve physicochemical parameters from 180 groundwater wells, including potassium, sodium, calcium, magnesium, chloride, sulfate, bicarbonate, nitrate, pH, electrical conductivity, total dissolved solids, and total hardness, were investigated to decipher groundwater quality in the eastern part of Kanchanaburi Province, Thailand. Our results indicated that groundwater quality in the study area was primarily polluted by calcium, magnesium, and bicarbonate and that the RF-CV model (RMSE = 0.06, R2 = 0.87, MAE = 0.04) outperformed the RF-B (RMSE = 0.07, R2 = 0.80, MAE = 0.04), ANN-CV (RMSE = 0.09, R2 = 0.70, MAE = 0.06), and ANN-B (RMSE = 0.10, R2 = 0.67, MAE = 0.06). Our findings highlight the superiority of the RF models over the ANN models based on the CV and B techniques. In addition, the role of groundwater parameters to the normalized EWQI in various machine learning models was found. The groundwater quality map created by the RF-CV model can be applied to orient groundwater use.

Integrated GIS-based and water quality index for evaluation of groundwater quality in the coastal slum settlements of Lagos, Nigeria

This study aimed to identify drinking water suitability through a statistical and water quality index (WQI) approach in coastal slum settlements in Lagos, Nigeria. A total of 250 borehole groundwater samples collected for drinking purposes during the wet (125) and dry (125) seasons were analysed for their physical and chemical properties from 2019 to 2020. The physical and chemical characterisation of the region was conducted based on the correlation matrix, scree plot, PCA, Q-mode HCA, and ROC curve to identify the types of weathering, the influence of rock on precipitation and evaporation, and types of reactions that affect groundwater composition. The analytical mean concentration results revealed that SO4, Cl, TH, NO3, TDS, and PO4 surpassed the USEPA and WHO permissible limits in both seasons. The WQI results demonstrate that 7.6% and 6.7% of water samples fall into the excellent category, while 12.4% and 11.5% are moderately tolerable. In contrast, for both seasons, >100% of the samples fell into the unsuitable drinking category across SA1-SA5, SB1-SB5, SC1-SC5, SD1−SD5, and SE1−SE5. Groundwater quality mainly deteriorates due to anthropogenic activities and climatic variability. The spatial variation map indicates that groundwater quality is primarily affected during the wet season and, to a lesser extent, in a few slums during the dry season. Seawater influx in coastline areas has been identified as the main factor threatening the quality and availability of groundwater resources. As a result, the groundwater quality is mostly poor to unsuitable, and this study confirms its unsuitability for drinking. Hence, this study serves as a guide for effective action in sustainable groundwater management.

Evaluation of groundwater quality for irrigation purposes in hard rock terrain of Southern India using water quality indices modelling

Industrial effluent discharge threatens both agricultural productivity and drinking water quality by depleting groundwater, contaminating surface water and demanding high-quality irrigation water. This study evaluates the influence of urbanization and agricultural activities on the groundwater quality in Perundurai, focusing on its suitability for both drinking and agriculture. A total fourty samples of groundwater were randomly taken from bore wells. The principal cations and anions were analyzed revealed their dominance order: Na Ca > Mg > K and Cl > SO4 > F > NO3. The water quality index (WQI) analysis found that around 89% samples are unsuitable for drinking. The PI value indicates that 2% samples have poor permeability and elevated risk of waterlogging make it unsuitable for field use. Analysis of the Piper diagram reveals the dominance of alkaline earth cations (Ca, Mg) over alkali metals (Na, K) and weak acids (HCO3, CO3) over strong acids (Cl, SO4), indicating specific hydrogeochemical facies. From the US salinity diagram (USSL), C4S1 samples (30%) exhibit low alkalinity but a hazardous high salinity which impairs their capacity to retain water. Wilcox classification identified that 27% samples exhibit potential limitations for irrigation due to elevated sodium content. Contamination of groundwater due to ion leaching, sewage discharge and runoff is a significant environmental concern with potential health implications.

Evaluation of Groundwater Quality Throughout the Seasons in the Rahata Tahsil District of Ahmednagar, Maharashtra, India

Evaluation of Groundwater Quality Throughout the Seasons in the Rahata Tahsil District of Ahmednagar, Maharashtra, India

Evaluating groundwater quality for some areas in Zawiya city according to the Libyan and international standards

In this research, some groundwater specifications were evaluated for 5 areas of well water located in different areas in Zawiya city. These areas included (Warshfana, Al-Zawiya Al-Markaz, Dilah, Sayyida Zeinab, South Al-Zawiya), where some of the physical and chemical properties of well water samples were studied and the results were compared with the Libyan standard of 2015 and the specifications of the World Health Organization (WHO). This study showed that the well water samples that were studied are not suitable for human drink because they do not conform to international standards for drinking water, except for the water samples that were collected from the Warshafana area, where it was found that the concentration of total dissolved salts in the water samples collected from the Al-Zawiya Al-Markaz area, Sayyida Zeinab area and the Dilah area fall within a range greater than (1000 ppm). As for the samples from the Dilah region, the salinity level was very high as it is an area close to the sea, and therefore the water needs treatment and desalination operations before it can be used. Keywords: groundwater, physical properties, chemical properties, standard specifications, Zawiya city

A baseline study on the distribution of fluoride in drinking water and its health risk assessment in Industrial areas of Sivakasi, India

Sivakasi, popularly known as "Little Japan," is a town in the southern region of Tamil Nadu. The study area has a semi-arid tropical monsoon climate. The inhabitants depend heavily on groundwater, which is used extensively for irrigation, drinking, and domestic. The present research aimed to evaluate groundwater quality in Sivakasi, focusing on fluoride levels and major ions, providing essential information on the non-carcinogenic risks posed to residents, particularly adults, and the suitability of water for both drinking and agriculture. Fluoride concentration and the most important cations and anions were analyzed in 32 groundwater samples. The major cations and anions present in field samples are in the order of abundance: Cl&gt; SO4&gt; HCO3&gt; Na &gt; Mg &gt;Ca&gt; K. For drinking purposes, groundwater quality varies from moderate to poor, and over 70% of groundwater tests are out of condition for agricultural water supply. Fluoride levels in the samples from the study area ranged from 0.00 to 2.60 mg/l, with an average value of 1.60 mg/l. The hazardous Quotient (HQ) value for infants ranged from 0.00 E+00 to 1.69 E+00, children from 0.00 E+00 to 1.80 E+00, and for adults from 0.00E+00 to 1.88E+00. Additionally, the adults were more susceptible to non-carcinogenic threats than infants and children. This study on groundwater quality in Sivakasi highlights risks to health from excessive fluoride levels, particularly for adults, making it important for disaster mitigation. Understanding the non-carcinogenic hazards of contaminated water can drive disaster preparedness actions and resource allocation, emphasizing the need for secure water sources and resilient water management methods in the semiarid region.

Remote Sensing &amp; GIS Integration Bases Evaluation of Ground Water Quality in Telangana State, India

About 85% of drinking water needs in rural and 40% drinking water needs in urban areas are met from groundwater resources in Telangana state. There is a huge demand of ground water for different uses like agriculture, drinking and industrial purposes as the command area is very low in the state and it is evidenced by the fact that around 70% irrigation is dependent on ground water sources as compared to other surface sources like Tanks/Canals/Reservoirs etc. Climate change has affected the hydrological cycle with uncertain and increased variability in rainfall followed by with high rainfall in a short span of time resulting more surface runoff which ultimately decreases there charge to groundwater. Decreased recharge to the groundwater and excess withdrawal of groundwater has accelerated the depletion of groundwater resources there by resulting in stress on groundwater regime in terms of quality as well as quantity. The groundwater quality evaluation of Telangana state is carried out by using legacy quality data (2012-14) collected from Rural Water Supply &amp; Sanitation Department, Government of Telangana. Contamination spread of groundwater is one of the most important concerns that have received attention at regional, local and global levels because of their importance on public health and its further impact in ecosystems. The spatial distribution of chemical parameters like pH, Total Dissolved Solids (TDS), Total Hardness (TH), Total Alkalinity (TA), Fluoride (F), Chloride (Cl), Iron (Fe), Nitrate (NO3) and Sulfate (SO4) are examined with respect to its contamination level. The spatial distribution and concentration of chemical elements is carried out by using spatial interpolation technique namely Inverse Distance Weightage (IDW) method from the point source data. The distribution maps reveal important information to understand the hot spot areas of the groundwater systems and for identification of potential areas for providing safe drinking water supply. Site specific water conservation and artificial recharge measures are needed to be taken up with scientific lines by using Remote Sensing &amp; GIS techniques, for enhancing the groundwater storage and also improving its quality.

Appraisal of non-carcinogenic health risks posed by fluoride and iron in groundwater of a rural semi-arid part of India

ABSTRACT The study was initiated to evaluate groundwater quality in the post-monsoon season (2021) vis a vis chemistry and hydrochemical facies, assessment of probabilistic health risks posed by F− and Fe and quality appraisal of regional groundwater for irrigation in Kumarganj community development block. As per potable water quality standards of Bureau of Indian Standards (BIS), 50% and 13.3% of water samples were found to be unsafe due to F− and Fe, respectively. Fluoride concentration ranged from 0.1 to 3.62 mg l−1 (mean, 1.22 mg l−1). The northern, north-western and south-eastern parts of the block were found to have F− concentrations above the permissible safe limit of 1.0 mg F l−1 while a small area within southern region had >1 mg l−1 Fe. Factor analysis showed that four factors contributed to 38.21%, 19.67%, 10.62%, and 8.45%, respectively, to water quality. According to the human health risk assessment by Total Hazard Index, all age groups in the study area were at risk of exposure, in the order of THIchildren > THIinfant > THIadult due to consumption of excessive F− and Fe. This assessment was consistent with the results of probabilistic health risk assessment undertaken by Monte Carlo simulation (5000 trials) wherein maximum risk of 4.14 and 0.17 at 95th percentile to children was attributable to F− and Fe, respectively.

Investigating the influence of thermal evaporation method on the heavy metal pollution index (HPI) of groundwater

Groundwater plays a substantial role in satisfying freshwater demand for different purposes worldwide. The degradation of groundwater by various industrial and anthropogenic activities has become a significant problem in recent times. Specifically, the intrusion of heavy metal substances into the groundwater aquifers through industrial effluents is a critical concern. Therefore, the evaluation of groundwater quality has become the need of the hour in order to guarantee the sustainable and secure utilization of freshwater for farming, commercial, and, most importantly, domestic applications. In this study, the groundwater quality and the Heavy Metal Pollution Index (HPI) of an industrial area in Tamil Nadu, India, called ‘Thoothukudi’, have been evaluated in order to determine the influence of industrial activities on the groundwater quality. In total, ten groundwater samples were accessed from the borewells located near the major industrial areas. The parameters, namely pH, total hardness (TH), electrical conductivity (EC), chromium (Cr), copper (Cu), nickel (Ni), iron (Fe), manganese (Mn), and lead (Pb) levels of the groundwater samples were evaluated. Further, the samples were treated using solar thermal-based evaporative (STBE) arrangements. The HPI values of the raw samples demonstrated that the groundwater in the studied areas was affected by heavy metal contamination. The distillation of the groundwater samples exhibited that the STBE method is an effective and energy-efficient tool to eradicate the heavy metal contamination of the groundwater. Specifically, the average day-wise yield of the STBE arrangement was reported as 2838 ml/day in the lab-scale experiments.

Evaluating Groundwater Quality Using Multivariate Statistical Analysis and Groundwater Quality Index

Under pressure from surface water pollution and climate change, groundwater becomes a critical water source. Information on groundwater quality could contribute to effective groundwater management. This study was carried out to utilize multivariate statistical analysis and the groundwater quality index (GWQI) to evaluate groundwater quality in Ca Mau Province, Vietnam. Twenty-five groundwater samples from residential-urban areas, cemetery areas, landfill areas, and saline intrusion areas were collected for this study. Groundwater quality was evaluated using the National Technical Regulation on Groundwater Quality (QCVN 09-MT:2015/BTNMT) and GWQI. Principal component analysis (PCA) was used to identify potential polluting sources and key variables influencing groundwater quality. Cluster analysis (CA) was applied to cluster groundwater quality, and the sites were recommended for future monitoring. The results revealed that NH4+-N contaminated groundwater in the landfill area, while the saline intrusion area was polluted by TDS and NH4+-N. The groundwater quality classified as excellent, good, poor, and very poor accounted for 44, 40%, 12%, and 4%, respectively. Cluster analysis divided groundwater quality into four groups, mainly based on the presence of NH4+-N and TDS. Nine groundwater sampling locations could be removed from the current groundwater quality program but still ensuring representativeness as a result of CA. PCA proposed two main sources of variation in groundwater quality at each residential-urban area: the cemetery area, the landfilling area, and the saline intrusion area. The groundwater parameters (i.e., pH, TDS, permanganate index, NH4+-N, NO3--N, and Fe) should be continued to monitor. Domestic and industrial wastewater discharge, leachate from cemeteries and landfills, the nature of groundwater aquifers, and seawater intrusion could be potential sources of groundwater variation. The current findings provide scientific information for local environmental authorities to manage and monitor groundwater quality in the study area. Doi: 10.28991/CEJ-2024-010-03-03 Full Text: PDF