Applied Water Science最新文献

{"title":"Investigation of the flow characteristics of slit check dams using novel models","authors":"Muhammet Emin Emiroglu,&nbsp;Erdinc Ikinciogullari,&nbsp;Eyyup Ensar Yalcin,&nbsp;Enes Gul","doi":"10.1007/s13201-024-02344-7","DOIUrl":"10.1007/s13201-024-02344-7","url":null,"abstract":"<div><p>Floods, which cause loss of life and property and destruction of the environment, have devastating effects on socio-economic welfare. Slit-check dams are essential structures for managing the transport of silt and woody debris, especially in events of significant floods. The current study presents the hydraulic characteristics of slit-check dams with different geometries for experimental and numerical tests. First, the Butterfly model was produced with a 3D printer and examined experimentally. Then, the Butterfly model was validated extensively using OpenFOAM (<i>v</i>7) software for the numerical analysis. Finally, the other models were examined numerically using the k-ε turbulence model. The changes in water surface profile, velocity profiles, energy dissipation rates, and streamlines were comprehensively examined and discussed. The results showed that slit-check dams caused hydraulic jumps and dissipated flow energy. The Arced and Rectangular models, in particular, demonstrated a significant performance for energy dissipation, which is essential for flood management. Water surface profiles are directly affected by discharge. Moreover, the cross-sectional length of the model in question significantly affects the water surface profile. Accordingly, an increase was observed in the velocity profiles along the slit-check dam. While the maximum velocity for all unit discharge was observed in the V-shaped model, the minimum velocities were observed for the Arced and Rectangular models. Thus, the energy absorption performance of Arced and Rectangular models is higher.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"15 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02344-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling and experimental validation of nanophotonics-enhanced solar membrane distillation technology for treating reverse osmosis brine","authors":"Mayar Elrakhawi,&nbsp;Ahmed F. Tayel,&nbsp;Amr Abdelrazek,&nbsp;Ze He,&nbsp;Qilin Li,&nbsp;Ibrahim A. Said","doi":"10.1007/s13201-024-02281-5","DOIUrl":"10.1007/s13201-024-02281-5","url":null,"abstract":"<div><p>A novel, cost-efficient Nanophotonic Enhanced Solar Membrane Distillation (NESMD) system, a solar-driven water desalination technology, was studied. The system features a photothermal membrane acting as a solar collector for water distillation, thus eliminating the need for an external condenser. To address the system’s vulnerability to thermal losses, a comprehensive mathematical model was developed and validated against real-world experimental data. This model represents intricately coupled heat and mass transfer within a sweeping-air NESMD system, incorporating heat loss considerations. The modeling strategy involved dividing the NESMD module into sub-cells and implementing a finite difference method for detailed analysis. This led to a series of nonlinear simultaneous equations, which were resolved via computational code using MATLAB software. The developed NESMD model exhibited commendable conformity to experimental data, exhibiting a relative percentage error of less than 10% for average permeate flux and identifying thermal losses as high as 63%. Depending on the operating conditions, heat transferred to the surroundings takes the lead among the heat loss contributors at higher feed rates (up to 25%), whereas heat conduction across the membrane dominates (up to 42%) thermal losses at low feed rates. The study established an exponential correlation between permeate production and solar energy, with a heat transfer coefficient ranging from 9.5 to 30 W m⁻² K⁻¹ and a coefficient of determination of 0.96. An integral part of this work includes calculating solar energy utilization and clarifying the system’s performance. Furthermore, this study examines the influence of diverse operational and geometric parameters, providing insights into enhancing production rates. Hence, an increase in feed layer thickness enhances freshwater production by 7%. Due to the intensification of solar irradiance, freshwater production increased ninefold, and specific energy consumption decreased by 134 kW hr m⁻³. This research underscores the potential of NESMD for sustainable desalination, providing a validated model that lays the groundwork for future advancements in membrane distillation technology.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"15 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02281-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142888376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of CuFe2O4/CuS as a new green magnetic nanocomposite in adsorption of tetracycline from aqueous solutions: mathematical models of thermodynamics, isotherms, and kinetics","authors":"Seyedeh Masoomeh Rahimi,&nbsp;Bahman Ramavandi,&nbsp;Mohammad Hadi Moslehi,&nbsp;Mahdi Rahiminia,&nbsp;Negin Nasseh","doi":"10.1007/s13201-024-02337-6","DOIUrl":"10.1007/s13201-024-02337-6","url":null,"abstract":"<div><p>In current study, a novel adsorbent of CuFe₂O₄/CuS magnetic nanocomposite (MNC) was constructed via a green approach for tetracycline (TC) removal. The leaf extract of the <i>Alhagi pseudalhagi</i> plant was employed as a green reductant agent. The features of the nanocomposite were characterized using XRD, FTIR, FESEM, TEM, BET, and VSM. Batch studies were conducted to assess the impact of parameters, including pH (3.0–9.0), adsorbent dosage (0.025–2 g/L), TC concentration (5–100 mg/L), and temperature (5–50 °C) on the TC adsorption efficiency. The antibiotic was fully removed at pH 7.0, nanocomposite dose of 1.5 g/L, time of 200 min, and TC content of 5 mg/L. Based on the thermodynamic study, the TC adsorption onto the CuFe₂O₄/CuS MNC occurred spontaneously and was primarily driven by physical interactions (physisorption). Positive values of ∆<i>H</i>° (enthalpy change) and ∆<i>S</i>° (entropy change) demonstrated that the adsorption process is naturally endothermic, and the degree of dispersion improves with rising temperature. Adsorption kinetics was well fitted by the pseudo-second-order model. The isotherm studies showed that TC can be removed by the adsorbent at a maximum of 31 mg/g. Overall, CuFe₂O₄/CuS MNC exhibited notable efficacy and cost-effectiveness (reusability: 5 times) for the TC adsorption from water.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"15 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02337-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142849623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing the impact of non-Newtonian nanofluid flow on pollutant discharge concentration in wastewater management using an artificial computing approach","authors":"Sidra Jubair,&nbsp;Jie Yang,&nbsp;Bilal Ali,&nbsp;Bandar Bin-Mohsin,&nbsp;Hamiden Abd El-Wahed Khalifa","doi":"10.1007/s13201-024-02333-w","DOIUrl":"10.1007/s13201-024-02333-w","url":null,"abstract":"<div><p>Wastewater discharge is important in numerous areas of industries and in governance of the environmental sectors. Controlling and monitoring water pollution are essential for protecting the availability of water and upholding standards of sustainability. Thus, in the current study, the effects of pollutant discharge concentration (PDC) are considered while analyzing the flow of non-Newtonian nanofluids (NNNF) through the permeable Riga surface subject to heat radiation. Walter’s B fluid (WBF) and second-grade fluids (SGFs), two distinct types of NNNF, have been investigated. The fluid flow is expressed as a system of PDEs, which are simplified into lower order by employing similarity approach. These equations (ODEs) are solved using the Levenberg Marquardt back-propagation optimization algorithm (LMBOA) of the artificial neural network (ANN). The Matlab package “bvp4c” is used for generating the dataset in order to validate the results of the ANN-LMBOA. The dataset was developed for various flow scenarios, as well as ANN evaluation and validation. The accuracy of the ANN-LMBOA model is estimated though numerous statistical tools, i.e., histogram, regression measures, curve fitting, performance plots, and validation tables. The numerical outcomes of bvp4c package are also compared to the published literature. Which show best accuracy and resemblance with each other for the limiting case. The targeted date absolute error is accomplished within the range of 10^–4-10^–5 which confirms the outstanding accuracy of ANN-LMBOA. It is concluded form error histograms (EHs) that the EHs values for case 1–4 is lie about <span>(3 cdot 6 times 10^{{ - 7}})</span>, <span>(7 cdot 83 times 10^{{ - 9}})</span>, <span>(- 4.7 times 10^{{ - 8}})</span> and <span>(- 2 cdot 9 times 10^{{ - 6}})</span> respectively.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"15 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02333-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142849624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing water demand and supply in the Upper Indus Basin using integrated hydrological modeling under varied socioeconomic scenarios","authors":"Sareer Ahmad,&nbsp;Muhammad Waseem,&nbsp;Hira Wahab,&nbsp;Abdul Qadeer Khan,&nbsp;Zulqarnain Jehan,&nbsp;Izhar Ahmad,&nbsp;Megersa Kebede Leta","doi":"10.1007/s13201-024-02310-3","DOIUrl":"10.1007/s13201-024-02310-3","url":null,"abstract":"<div><p>This study projects future water demand scenarios in the Upper Indus Basin, focusing on reference, high population growth, increased irrigation, and lower population growth scenarios. The baseline scenario indicates a significant rise in water demand from 35.74 billion cubic meters (BCMs) in 2020 to 60.28 BCM by 2035, driven by population growth and increased domestic water consumption. High population growth exacerbates this demand, reaching 62.96 BCM by 2035. This research aims to address domestic water needs under various growth scenarios, considering factors such as population growth rate and per capita consumption. The study employs integrated hydrological modeling to simulate water demand under different socioeconomic conditions. Key methods include analyzing baseline water demand, projecting future scenarios, and evaluating the impact of increased irrigation and population growth on water resources. Results reveal that without intervention, stagnant water supply management will lead to severe water shortages. Increased irrigation, influenced by a 3% growth in irrigated land, pushes agricultural water demand to 56.37 BCM by 2035. Mitigation efforts, such as a 15% reduction in domestic water consumption, could decrease overall demand to 51.23 BCM by 2035. Further reductions are explored through a 50% cut in agricultural water consumption, involving efficient irrigation techniques. The study highlights the critical role of technology and farmer awareness in achieving these reductions, despite current irrigation scheme losses of 20%. A lower population growth scenario shows a contrasting trend, with water demand decreasing to 49.11 BCM by 2035, attributed to a 1.8% population growth rate and decreased per capita consumption to 82 m³ per day. These findings underscore the importance of proactive water management strategies, technological advancements, and demographic considerations in addressing future water demand challenges in the Upper Indus Basin. This research provides proper insight into the impact of varied socioeconomic scenarios on water resources and the necessity for strategic interventions.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"15 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02310-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142849592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating basic household characteristics influencing domestic water demand in tropical environments: a comprehensive case study","authors":"Timothy Oyebamiji Ogunbode,&nbsp; Victor,&nbsp;Oyedeji Oyebamiji,&nbsp;Ayobami Alani Oyelami,&nbsp;Timothy Ayo Akinkuolie","doi":"10.1007/s13201-024-02323-y","DOIUrl":"10.1007/s13201-024-02323-y","url":null,"abstract":"<div><p>Understanding household water dynamics is crucial for achieving SDG 6 targets. This study explores the impact of 16 socio-demographic variables on household water demand in a tropical Nigerian community from February 2023 to January 2024, surveying eighty diverse households monthly. Descriptive and inferential statistics were applied to the survey data. Females constituted 85.8%, with 98.0% aged at least 18 and 73.6% having secondary education. Factorability of the dataset was confirmed (KMO = 63.4, <i>p</i> &lt; 0.005). Analysis identified seven key variables, explaining 72.03% of observed variance: household size, water source reliability, time cost of obtaining water, water storage strategy, consumptive water use, monthly income, and water source management type. Further scrutiny revealed two variable groups, contributing 42.3% (VAR 1 and VAR 2) and 51.4% (VAR 3, 4, 5, and 6) of total absolute variance, respectively. This analysis is vital for effective household water planning and management, especially in resource-limited regions. Extracted variables warrant attention from industry stakeholders, with subsequent investigations revealing robust relationships (55.5–99.1%) among variables. This understanding is pivotal for institutionalizing policies and strategic decision-making in household water supply planning and management. It offers comprehensive insights for aligning practices with SDG 6 goals, ensuring sustainable and equitable access to water resources.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"15 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02323-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142849626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A strategy to improve the adsorption capacity of OPs-dye pollutants from the aqueous environment using adsorbents based on 2D transition metal carbides (V2CTx)","authors":"Ali Bina,&nbsp;Heidar Raissi","doi":"10.1007/s13201-024-02331-y","DOIUrl":"10.1007/s13201-024-02331-y","url":null,"abstract":"<div><p>Remediation of water pollution or removal of pollutant molecules by efficient substrates with long life is very important and challenging. Techniques based on adsorption and extensive use of two-dimensional (2D) transition metal carbides (MXenes) with the presence of terminal functional groups have provided a high potential in the separation of organic aromatic pollutants. In this work, a 2D substrate of the MXenes family named V₂CT_x is designed to investigate the adsorption behavior of several types of dye organic pollutants using the molecular dynamics simulation technique based on Newton’s laws in the aqueous phase. Several simulation boxes are designed, which are placed in two groups, discrete simulation boxes and co-loading (Mxn-Mix) boxes. Several analyses, including root-mean-square deviation, interaction energies, radial distribution function, mean square displacement, hydrogen bond (HB) number, and the number of contacts, have been used to analyze the results. The simulation results and interaction energy show that all the dye analytes used can interact with MXene (Mxn), which indicates that MXene can be an effective adsorbent to remove pollutant molecules. Our results confirm that the adsorption process of analytes by V₂CT_x substrate is selective. The analysis of adsorption behavior shows that the loading process is spontaneous in all systems, and the values of the interaction energy for the most stable complexes are −149.95 and −104.85 kJ/mol corresponding to crystal violet and brilliants blue analytes, respectively, in both groups of discrete and Mxn-Mix simulation boxes. The strong adsorption can be attributed to the cationic nature of analytes and their nucleophilic aromatic parts, which caused strong coul interactions for the adsorption of these molecules. The HB and π–π interactions are also responsible for the adsorption of dye molecules here. The obtained results also indicate that in addition to the cationic nature, other factors, such as the linearity of the molecular structures, the charge of the dye molecules, and the molecular mass of the tested pollutants, are effective in the adsorption process. Current studies show that the Mxn nanostructure is an excellent substrate of adsorbent material that has high efficiency for the separation of organic dyes in aqueous media. It is hoped that this research can be a very good class for other target pollutants in the future.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"15 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02331-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142849627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal variation of Manning roughness coefficient in furrow irrigation and its relationship with various field parameters","authors":"Hadi Rezaei Rad,&nbsp;Hamed Ebrahimian,&nbsp;Abdolmajid Liaghat,&nbsp;Fatemeh Khalaji,&nbsp;Mahshid Shabani Arani","doi":"10.1007/s13201-024-02334-9","DOIUrl":"10.1007/s13201-024-02334-9","url":null,"abstract":"<div><p>This research aimed to ascertain the Manning roughness coefficient (<i>n</i>) and explore the impact of various factors on it across different phases and irrigation events. The Manning’s <i>n</i> for furrow irrigation was determined in the advance, storage, and whole irrigation phases utilizing the SIPAR_ID model, Manning equation, and WinSRFR software, respectively. Parameters affecting the Manning’ <i>n</i> were identified through Pearson and Kendall tests. The study involved measuring the Manning’s <i>n</i> under six distinct inflow rates, classified as low and high flows. Three irrigation events (first to third), advance and storage phases, two irrigation intervals, and two soil textures (Clay loam and Silty clay loam) were considered. Results indicated that the Manning’s <i>n</i> ranged from 0.017 to 0.636, 0.015 to 0.317, and 0.015 to 0.34 in the advance, storage, and whole irrigation phases during the first to third irrigation events, with mean values of 0.083, 0.054, and 0.055, respectively. Higher roughness coefficients were observed in the advance phase. Additionally, findings suggested that if the advance phase is short relative to the total irrigation time, the Manning’s <i>n</i> from the advance phase can be applied to the whole irrigation event without separate consideration for storage phase roughness. Pearson and Kendall statistical tests revealed that the Manning roughness coefficient during the entire irrigation event was strongly correlated with advance time (r = 0.65, <i>p</i> &lt; 0.01) and moderately correlated with inflow and outflow rates, as well as initial soil moisture and cross-sectional flow area. A weak correlation was observed between the roughness coefficient and the furrow slope (r = 0.238). During the storage phase, advance time had the strongest positive correlation with roughness, while inflow rate had a weak negative correlation (r = −0.31). </p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"15 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02334-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142849625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two-stage efficiency evaluation of industrial water resources and the role of digital inclusive finance: insight from Yangtze River Delta","authors":"Linjie Feng,&nbsp;Tingting Liu,&nbsp;Zhenjie Yang,&nbsp;Yi Shi,&nbsp;Hongxi Chen,&nbsp;Ka Leong Chan,&nbsp;Bin Chen","doi":"10.1007/s13201-024-02328-7","DOIUrl":"10.1007/s13201-024-02328-7","url":null,"abstract":"<div><p>The Yangtze River Delta (YRD) occupies 2.1% of China's territory but accounts for 1/4 of its GDP. Boosting efficiency of industrial water resources in YRD will drastically decrease water pollution and resource constraints. The current paper employed Network Super-SBM and the Global Malmquist-Luenberger index to evaluate industrial water use efficiency and wastewater treatment efficiency of YRD’ cities. Furthermore, digital inclusive finance and green innovation are introduced to investigate the mechanisms underlying their influence on the overall industrial water resources efficiency. The empirical findings posts that: (1) there is still room to improve the overall efficiency, especially the water treatment efficiency; (2) the MI value of each stages in most samples is greater than 1, indicating that the water treatment efficiency and water use efficiency are improving. It is mainly driven by the improvement of the efficiency of the management; (3) there are substantial differences in water resource efficiency among metropolitan areas, with Nanjing-metropolitan areas and Hefei-metropolitan areas having higher water use efficiency and water treatment efficiency for both stages, while Hangzhou-metropolitan areas and Shanghai-metropolitan areas have lower water treatment efficiency. As shown by the Kernel density Estimation, the degree of efficiency dispersion within same metropolitan area is reducing; and (4) digital inclusive finance will boost overall efficiency and water treatment efficiency, with green innovation as a mediating factor. The findings herein offer compelling evidence that financial development increases the effectiveness of water resources, introduce fresh perspectives for the government to put forward water-related policies, and provide ideas for high-quality economy.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"15 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02328-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142776477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of groundwater quality indices and health risk assessment of water resources of Jiroft city, Iran, by machine learning algorithms","authors":"Sobhan Maleky,&nbsp;Maryam Faraji,&nbsp;Majid Hashemi,&nbsp;Akbar Esfandyari","doi":"10.1007/s13201-024-02330-z","DOIUrl":"10.1007/s13201-024-02330-z","url":null,"abstract":"<div><p>Assessing water quality is essential for acquiring a better understanding of the importance of water in human society. In this study, the quality of groundwater resources in Jiroft city, Iran, using artificial intelligence methods to estimate the groundwater quality index (GWQI) was evaluated. The analysis of hydrochemical parameters, including arsenic (As), fluoride (F), nitrate (NO₃), and nitrite (NO₂), in 408 samples revealed that concentrations of F, NO₃, and NO₂ were below the WHO standard threshold, but levels of As exceeded the permissible value. The random forest model with the highest accuracy (<i>R</i>² = 0.986) was the best prediction model, while logistic regression (<i>R</i>² = 0.98), decision tree (<i>R</i>² = 0.979), K-nearest neighbor (<i>R</i>² = 0.968), artificial neural network (<i>R</i>² = 0.955), and support vector machine (<i>R</i>² = 0.928) predicted GWQI with lower accuracy. The non-carcinogenic risk assessment revealed that children had the highest hazard quotient for oral and dermal intake, with values ranging from 0.47 to 13.53 for oral intake and 0.001 to 0.05 for dermal intake. The excess lifetime cancer risk of arsenic for children, adult females, and males was found to be from 2.5 × 10^–4 to 7.2 × 10^–3, 1.2 × 10^–4 to 3.6 × 10^–3, and 4.3 × 10^–5 to 1.2 × 10^–3, respectively. This study suggests that any effort to reduce the arsenic levels in the Jiroft population should take into account the health hazards associated with exposure to arsenic through drinking water.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"15 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02330-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142776426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}