Hydrochemical characterization and water quality perspectives for groundwater management for urban development

Groundwater for Sustainable Development, Journal Year: 2023, Volume and Issue: 24, P. 101071 - 101071

Published: Dec. 23, 2023

Language: Английский

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Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria

Water, Journal Year: 2023, Volume and Issue: 15(2), P. 289 - 289

Published: Jan. 10, 2023

In order to evaluate and project the quality of groundwater utilized for irrigation in Sahara aquifer Algeria, this research employed water indices (IWQIs), artificial neural network (ANN) models, Gradient Boosting Regression (GBR), alongside multivariate statistical analysis a geographic information system (GIS), assess forecast used Algeria. Twenty-seven samples were examined using conventional analytical methods. The obtained physicochemical parameters collected showed that Ca2+ > Mg2+ Na+ K+, Cl− SO42− HCO3− NO3−, owing predominance limestone, sandstone, clay minerals under effects human activity, ion dissolution, rock weathering, exchange processes, which indicate Ca-Cl type. For evaluating water, IWQIs values such as index (IWQI), sodium adsorption ratio (SAR), Kelly (KI), percentage (Na%), permeability (PI), magnesium hazard (MH) mean 47.17, 1.88, 0.25, 19.96, 41.18, 27.87, respectively. instance, IWQI revealed 33% severely restricted irrigation, while 67% varied from moderate high restriction indicating crops are moderately highly hypersensitive salt should be watered soft soils without any compressed layers. Two-machine learning models applied, i.e., ANN GBR IWQI, model, surpassed model. findings ANN-2F had highest correlation between exceptional features, making it most accurate prediction example, model has two qualities critical prediction. outputs’ R2 training validation sets 0.973 (RMSE = 2.492) 0.958 2.175), Finally, application supported by GIS methods, machine learning, modeling is useful practical strategy development groundwater.

Language: Английский

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Groundwater Quality and Health Risk Assessment Using Indexing Approaches, Multivariate Statistical Analysis, Artificial Neural Networks, and GIS Techniques in El Kharga Oasis, Egypt

Water, Journal Year: 2023, Volume and Issue: 15(6), P. 1216 - 1216

Published: March 20, 2023

The assessment and prediction of water quality are important aspects resource management. Therefore, the groundwater (GW) Nubian Sandstone Aquifer (NSSA) in El Kharga Oasis was evaluated using indexing approaches, such as drinking index (DWQI) health (HI), supported with multivariate analysis, artificial neural network (ANN) models, geographic information system (GIS) techniques. For this, physical chemical parameters were measured for 140 GW wells, which indicated Ca–Mg–SO4, mixed Ca–Mg–Cl–SO4, Na–Cl, Ca–Mg–HCO3, Na–Ca–HCO3 facies under influence silicate weathering, rock–water interactions, ion exchange processes. had high levels heavy metals, particularly iron (Fe) manganese (Mn), average concentrations above limits recommended by World Health Organization (WHO) water. DWQI categorized most samples not suitable (poor to very poor class), while some fell good class. results HI a potential risk due ingestion water, being higher children only one location. However, both adults, there low dermal exposure all locations. contaminants could be from natural sources, minerals leaching rocks soil, or human activities. Based on ANN modeling, ANN-SC-13 accurate model, since it demonstrated strongest correlation between best characteristics DWQI. example, this model’s thirteen extremely predicting R2 value training, cross-validation (CV), test data 0.99. ANN-SC-2 model measuring adults. CV, 1.00 models. at detecting adults (R2 = 0.99, 0.99 sets, respectively). Finally, integration physicochemical parameters, indices (WQIs), models can help us understand its controlling factors, implement necessary measures that prevent outbreaks various water-borne diseases detrimental health.

Language: Английский

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Integration of Geochemical Modeling, Multivariate Analysis, and Irrigation Indices for Assessing Groundwater Quality in the Al-Jawf Basin, Yemen

Water, Journal Year: 2023, Volume and Issue: 15(8), P. 1496 - 1496

Published: April 11, 2023

Water quality monitoring is crucial in managing water resources and ensuring their safety for human use environmental health. In the Al-Jawf Basin, we conducted a study on Quaternary aquifer, where various techniques were utilized to evaluate, simulate, predict groundwater (GWQ) irrigation. These include indices (IWQIs), geochemical modeling, multivariate statistical analysis, geographic information systems (GIS), adaptive neuro-fuzzy inference (ANFIS). Physicochemical analysis was collected samples determine composition. The results showed that order of abundance ions Ca2+ > Mg2+ Na+ K+ SO42− Cl− HCO3− NO3−. assessment irrigation based such as Irrigation index (IWQI), sodium adsorption ratio(SAR), percent (Na%), soluble percentage (SSP), potential salinity (PS), residual carbonate RSC, which revealed moderate-to-severe restrictions some samples. Adaptive Neuro-Fuzzy Inference System (ANFIS) model then used IWQIs with high accuracy during both training testing phases. Overall, these findings provide valuable decision-makers management can aid sustainable development resources.

Language: Английский

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Applying Multivariate Analysis and Machine Learning Approaches to Evaluating Groundwater Quality on the Kairouan Plain, Tunisia

Water, Journal Year: 2023, Volume and Issue: 15(19), P. 3495 - 3495

Published: Oct. 6, 2023

In the Zeroud basin, a diverse array of methodologies were employed to assess, simulate, and predict quality groundwater intended for irrigation. These included irrigation water indices (IWQIs); intricate statistical analysis involving multiple variables, supported with GIS techniques; an artificial neural network (ANN) model; XGBoost regression model. Extensive physicochemical examinations performed on samples elucidate their compositional attributes. The results showed that abundance order ions was Na+ > Ca2+ Mg2+ K+ SO42− HCO3− Cl−. facies reflected Ca-Mg-SO4, Na-Cl, mixed Ca-Mg-Cl/SO4 types. A cluster (CA) principal component (PCA), along ionic ratios, detected three different characteristics. mechanisms controlling chemistry revealed water–rock interaction, dolomite dissolution, evaporation, ion exchange. assessment agriculture respect IWQIs, such as index (IWQI), sodium adsorption ratio (SAR), percentage (Na%), soluble (SSP), potential salinity (PS), residual carbonate (RSC), domination valuable agriculture. However, IWQI PS fell between high-to-severe restrictions injurious-to-unsatisfactory. ANN models robust predicting IWQIs. For example, ANN-HyC-9 emerged most precise forecasting framework according its outcomes, it showcased link prime attributes IWQI. nine this model hold immense significance in prediction. R2 values training testing data stood at 0.999 (RMSE = 0.375) 0.823 3.168), respectively. findings indicate XGB-HyC-3 accurate model, displaying stronger connection exceptional When IWQI, approximately model’s played pivotal role. Notably, yielded 0.001) 0.913 2.217) datasets, Overall, these offer significant details decision-makers managing can support long-term use resources.

Language: Английский

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Hydrochemical Characteristics, Controlling Factors and Strontium Enrichment Sources of Groundwater in the Northwest Plain of Shandong Province, China

Water, Journal Year: 2024, Volume and Issue: 16(4), P. 550 - 550

Published: Feb. 10, 2024

To elucidate the hydrochemical characteristics, controlling factors, sources and mechanisms of strontium ion enrichment in groundwater northwest plain Shandong Province, China, 88 samples were collected, including 51 shallow pore samples, 29 deep 8 karst samples. The characteristics different types quite different. all fresh water with a single type, either HCO3-Ca or HCO3-Ca·Mg. mainly brackish water, water–salt which has complex types. controlled by mineral dissolution active positive cation exchange. In groundwater, silicate, evaporite carbonate minerals dominated hydrogeochemical process. was derived from isomorphism. average contents shallow, 1.59 mg/L, 0.58 mg/L 0.50 respectively. runoff, its are abundant, silicic rock being main source. evaporative containing strontium, similar characteristics.

Language: Английский

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The Extraction of Copper from Chalcopyrite Concentrate with Hydrogen Peroxide in Sulfuric Acid Solution

Metals, Journal Year: 2023, Volume and Issue: 13(11), P. 1818 - 1818

Published: Oct. 27, 2023

Research on chalcopyrite leaching represents a great challenge, given its importance as one of the most abundant copper minerals and significant role in global extraction. This study aimed to evaluate effects different parameters by hydrogen peroxide strong oxidizing reagent sulfuric acid solution. A series tests were carried out investigate effect solid/liquid ratio, stirring speed, temperature, oxidant concentrations, lixiviant dosing method extraction from concentrate. The catalytic decomposition occurred investigated system, reflected obtained metal values. Copper was increased first 60 min reaction, after which it essentially ceased. maximum final 64.5% attained with 3.0 mol/L H2O2 H2SO4 at temperature 40 °C 120 reaction. Due examined experiment performed periodic addition specific time intervals well. dissolution process described first-order kinetics equation an apparent activation energy ~39 kJ/mol. Finally, XRD SEM-EDS analyses used characterize leached residue, results showed that formation elemental sulfur surface affected process.

Language: Английский

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Chemometrics of the Environment: Hydrochemical Characterization of Groundwater in Lioua plain (North Africa) using Time Series and Multivariate Statistical Analysis

Published: Nov. 14, 2022

Drinking water quality is a major concern, especially in African countries. This manuscript aims to analyze the chemical composition of Lioua’s groundwater order determine geological processes influencing elements' and origin. Therefore, chemometrics techniques such as multivariate statistical analysis (MSA) time series methods (TSM) are used. Indeed, MSA includes component (PCA) cluster (CA), while au-tocorrelation (AA) supplemented by simple spectral density (SDA) used for TMS. PCA displays three main factors explaining total variance (TV) 85.01 %. Factors 1, 2, 3 68.72%, 11.96%, 8.89 % TV, respectively. In CA, groups were controlled TDS EC. G1 reveals close association between SO42−, K+, Ca2+, TDS; G2 Na+, Cl−, Mg2+, EC; G3 shows dissociation bicarbonates HCO3− NO3− from other elements. AA linear interrelationship EC, SO42−. However, indicate uncorrelated characteristics with parameters. For SDA, correlograms SO42− have similar trend None-theless, pH, exhibit multiple peaks related presence several dis-tinct cyclic mechanisms. The enabled authors conclude that geochemical are: (i) dissolution evaporated mineral depos-its, (ii) water-rock interaction, (iii) evaporation process. addition, Groundwater exhibits two bipolar characteristics, one recorded negative positive charges on pH Ca+ another only NO3−. On hand, SO42-, predominant elements groundwater’s composition. participation salts chlorides electrical conductivity water. dominance lithological factor overall mineralization Plio-Quaternary surface aquifer waters. origins different. carbonated HCO3- has carbonate origin, whereas NO3– an anthropogenic salinity was affected Cl-, resulted human activity fertilizers, facies outcrops, domestic sewage.

Language: Английский

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Assessment of Residual Chlorine Interaction with Different Microelements in Stormwater Sediments

Molecules, Journal Year: 2023, Volume and Issue: 28(14), P. 5358 - 5358

Published: July 12, 2023

One consequence of intensive outdoor disinfection using chlorinated compounds is environmental pollution. It has been found that disinfectants are the most effective tool to avoid spread infections and viruses. Studies have shown use chlorine-based (sodium hypochlorite) leaves residual chlorine other byproducts in environment. They also harmful effects on, inter alia, water quality, ecosystems, as well exacerbating corrosion surfaces. To meet regulatory standards, monitoring presence environment vitally important. The aim this study analyse occurrence stormwater after sodium hypochlorite investigate its interaction with different microelements their possible impacts. Stormwater samples collected at permanently disinfected locations were analysed via X-ray absorption spectroscopy. concentrations Cl following elements Na, Si, K, Ca, Cr, Fe, Ni, Cu, Zn detected relationship was determined Python programming language. research presents concentration values (%) vary from 0.02 0.04. results modelling revealed strong correlations between Fe (value 0.65) Ca -0.61) CaCl

Language: Английский

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Hydrochemical Characteristics and Controlling Factors of the Mingyong River Water of the Meili Snow Mountains, China

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6174 - 6174

Published: July 19, 2024

The hydrochemical characteristics of rivers are affected by many natural factors, such as the nature watershed bedrock, environment, vegetation, and human activities. Examining hydrochemistry a river can provide insights into baseline hydrological conditions, geochemical overall water quality river. In order to examine controlling factors in Mingyong River, total 154 samples were gathered from glacier meltwater, midstream, downstream regions. Firstly, findings revealed that dominant cations Ca2+ Mg2+, while anions HCO3− SO42−. mass concentration is > Mg2+ Na+ K+, for anions, it SO42− NO3− Cl−. average TDS 81.69 mg·L−1, with an EC 163.63 μs·cm−1 pH 8.99. Temporal variations ion concentrations exhibit significant disparities between melting accumulation periods. High values primarily observed during period, decrease period due increased precipitation. study region categorized (HCO3− + SO42−)-(Ca2+ Mg2+) type. Secondly, Pearson correlation analysis indicates clear relationships different parameters, indicating major ions mostly influenced materials Earth’s crust. primary principal source solutes River rock weathering. present derived breakdown carbonate rocks dissolving substances silicate rocks. However, influence more compared Finally, suitable agricultural irrigation minimal land salinization damage, making appropriate purposes but not people animals drink directly.

Language: Английский

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