Cleaner Water最新文献

{"title":"Enhancing slow sand filtration with 3D-printed eco-friendly bricks","authors":"Wathsala Benthota Pathiranage ,&nbsp;Chloe Sharp ,&nbsp;Yinshan Hong ,&nbsp;Cecylia Williams ,&nbsp;Omar Algharibeh ,&nbsp;Anna McKnight ,&nbsp;Clinton Williams ,&nbsp;Hunain Alkhateb ,&nbsp;Matteo D’Alessio","doi":"10.1016/j.clwat.2024.100061","DOIUrl":"10.1016/j.clwat.2024.100061","url":null,"abstract":"<div><div>Wastewater reuse after adequate treatment represents a sustainable approach and a valuable alternative source to mitigate the current water scarcity. In wastewater treatment, low-cost and low-tech approaches draw attention as small/rural communities struggle to achieve the anticipated water quality standards due to insufficient funds, or expert knowledge in implementing and maintaining high-tech treatment methods. This study evaluated the ability of two low-cost and sustainable materials, clay and crawfish shell waste to produce 3D-printed bricks to remove turbidity, Chemical Oxygen Demand (COD), Total Organic Carbon (TOC), total coliforms and <em>E. coli</em>. Additionally, the study included an investigation of their ability to remove contaminants of emerging concern (CECs). Three different bench-scale reactors were built for the study, 1) a reactor with 3D-printed crawfish shell waste bricks (90 % clay and 10 % crawfish shell waste by weight) with sand, 2) a reactor with 3D-printed clay bricks with sand, and 3) a control (without 3D printed bricks) with only sand. All three systems, including the control, effectively removed turbidity (up to 96 %), total coliforms (up to 99 %) and <em>E. coli</em> (up to 99 %). Although the changes in removal efficiencies were not statistically different, the sand filter with clay bricks showed the highest removal rates for turbidity (87.1 % ± 7.1), COD (55 % ± 18.6) and TOC (47 % ± 27). Among the different CECs analyzed, the highest removal rates were recorded for fluoxetine (100 % removal), diphenhydramine (&gt;90 % removal) and erythromycin (60 % – 100 % removal) regardless of the reactor used. However, the reactor with crawfish bricks outperformed the other two in removing CECs exhibiting a 40 % – 80 % removal such as trimethoprim, tramadol, irbesartan, guaifenesin, gabapentin and losartan, as well as CECs exhibiting a relatively low removal (10 – 40 %) including lidocaine and sucralose. Sucralose is the only emerging contaminant with a statistically significant difference among the reactors, with the crawfish bricks showing significantly higher removal compared to the clay bricks (<em>p</em> = 0.026).</div></div>","PeriodicalId":100257,"journal":{"name":"Cleaner Water","volume":"3 ","pages":"Article 100061"},"PeriodicalIF":0.0,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced contamination risk assessment for aquifer management using the geo-resistivity and DRASTIC model in alluvial settings","authors":"N.J. George ,&nbsp;O.E. Agbasi ,&nbsp;A.J. Umoh ,&nbsp;A.M. Ekanem ,&nbsp;N.I. Udosen ,&nbsp;J.E. Thomas ,&nbsp;M.U. Aka ,&nbsp;J.S. Ejepu","doi":"10.1016/j.clwat.2024.100060","DOIUrl":"10.1016/j.clwat.2024.100060","url":null,"abstract":"<div><div>This study employs geo-electric surveys and Vertical Electrical Sounding (VES) data, as well as a spatiotemporal assessment, to evaluate aquifer characteristics in the study area, with the main thrust of revealing significant subsurface variability, vulnerability, and the consequent contamination of an aquifer system already established to be prolific. The study employed the DRASTIC model, integrated with geophysical resistivity methods, to assess groundwater vulnerability. Using Schlumberger electrode configurations, resistivity surveys at 19 VES locations provided insights into key aquifer parameters, including depth to groundwater, aquifer media, and vadose zone impact. This approach enhanced parameter accuracy for robust vulnerability assessments.The aquifers, primarily composed of fine to gravelly sands from the Benin Formation, exhibit high porosity and permeability. However, discrepancies in transmissivity, hydraulic conductivity, and permeability point to inconsistent groundwater behavior. Groundwater vulnerability, evaluated using the DRASTIC Index (DI), is classified as moderate to high, with influencing factors such as shallow water table depth (28 %), vadose zone properties (25 %), and net recharge (20 %). Predominantly H and K curve types suggest moderate to high contamination risks, while the region's topography and arenitic lithology exacerbate vulnerability due to slower filtration rates. The study emphasizes the need for careful groundwater management, given the aquifer's susceptibility to contamination. Regular monitoring is recommended, particularly in densely populated or agriculturally active areas, to mitigate contamination risks associated with the area's high permeability, porosity, and recharge variability. The DRASTIC model improves contamination risk assessment in sedimentary environments by analyzing several factors: depth to water (DTW), net recharge (NR), aquifer media (AM), soil media (SM), topography (T), the vadose zone (IPVZ), and hydraulic conductivity (C). Among these, DTW, IPVZ, and NR were the most sensitive contributors to the DRASTIC index (DI) for assessing vulnerability. AM and SM were moderately sensitive, while T and C had minimal impact. To effectively mitigate contamination, priority should be given to DTW, AM, and SM, with less focus on T and C. These insights help in better resource allocation and sustainable aquifer management.</div></div>","PeriodicalId":100257,"journal":{"name":"Cleaner Water","volume":"3 ","pages":"Article 100060"},"PeriodicalIF":0.0,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seasonal dynamics of micro- and nanoplastics and associated pollutants in Aarin River: Insights into abundance and digestion impact","authors":"Ruqoyyah D. Oladeji ,&nbsp;Luqmon Azeez ,&nbsp;Babatunde K. Agbaogun ,&nbsp;Muhammed-Lawal Shakirat ,&nbsp;Abayomi A. Oladejo ,&nbsp;Harun K. Aremu ,&nbsp;Hassan K. Busari ,&nbsp;Oluwadamilare S. Awolola ,&nbsp;Aisha Hammed","doi":"10.1016/j.clwat.2024.100059","DOIUrl":"10.1016/j.clwat.2024.100059","url":null,"abstract":"<div><div>Despite decades of rapid plastic production in Nigeria, lack of sufficient data limits knowledge of pollution contribution from micro- and nanoplastics (MNPs). This study investigates the abundance, shapes and colour of MNPs alongside associated pollutants such as polycyclic aromatic hydrocarbons (PAHs) and heavy metals (HMs) in Aarin River, Oyo town, Southwestern Nigeria, over two seasons (rainy and dry). The MNPs were of four size categories - 125, 75, 53 and 0.45 μm. The MNP level was notably higher in the rainy season (130.5 ± 3.5 particles/L (pts/L) in water and 30,384.5 ± 55.0 particles/kg (dry weight) in sediment) compared to the dry season (113.0 ± 5.0 pts/L in water and 2763.5 ± 28.5 pts/kg in sediment), with 53 and 75 μm-sized MNPs predominant in both seasons. Most of the MNPs were fragment-shaped and transparent white in colour. X-ray diffraction, scanning electron microscopy, and Fourier Transform Infrared spectroscopy revealed polyethylene, polypropylene, polyethylene terephthalate, and polysulfone to be prominent MNP constituents. The associated PAHs ranged from 43.40 to 615.77 μg/L and 21.90–599.84 μg/kg (dw) in the predigested water and sediment samples, respectively, with naphthalene having the highest concentration. Iron (Fe), lead (Pb), and chromium (Cr) account for most HMs in both water and sediment. Following organic and inorganic matter digestion, HMs and PAHs were reduced by 99 % and 83 %, respectively. The multivariate analysis of variance (MANOVA) and principal component analysis (PCA) indicated significant effects of seasonal variations and sample type on MNPs and pollutant concentrations. The results emphasize the critical role MNPs play in transporting pollutants.</div></div>","PeriodicalId":100257,"journal":{"name":"Cleaner Water","volume":"3 ","pages":"Article 100059"},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aquatic insects as indicators of water quality: Seasonal distribution and biomonitoring insights from a hilly river in the Eastern Himalayan region, India","authors":"Tanushree Chakravarty,&nbsp;Susmita Gupta","doi":"10.1016/j.clwat.2024.100056","DOIUrl":"10.1016/j.clwat.2024.100056","url":null,"abstract":"<div><div>This study investigated the seasonal distribution and diversity of aquatic insect communities in the Jatinga River, a small hilly river in northeast India, to assess water quality through biomonitoring. Sampling was conducted at five sites along the river from upstream to downstream over one year seasonally (2018–2019). A total of 72 species, 58 genera, and 38 families were recorded, with species such as <em>Micronecta</em> sp.1, <em>Ptilomera assamensis</em>, and <em>Hydropsyche sparna</em> achieving eudominant status. Biotic index values like BMWP^THAI (score: 78–105), ASPT^THAI (score: 6.2–7.5), SIGNAL2 (score: 6.1–7), and EPT% (50.89–75.35) indicated good and clean water quality with healthy habitat at upstream sites (S1 and S2), with decreasing quality in downstream. Values of all the studied environmental variables of water were found within the permissible limit of Bureau of Indian Standards and World Health Organisation except Electrical conductivity (EC) and Total dissolved solid (TDS). Principal component analysis (PCA) and canonical correspondence analysis (CCA) revealed significant relationships between insect species distribution and environmental factors such as riverbed particles and water chemistry.</div></div>","PeriodicalId":100257,"journal":{"name":"Cleaner Water","volume":"2 ","pages":"Article 100056"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Removal of copper ions from aqueous solutions using a nanomembrane ceramic filter doped with magnetic zeolite","authors":"Koffi Sossou ,&nbsp;S. Bala Prasad ,&nbsp;Josephine Tshepho Segotsi","doi":"10.1016/j.clwat.2024.100057","DOIUrl":"10.1016/j.clwat.2024.100057","url":null,"abstract":"<div><div>This study investigates the removal of copper ions from aqueous solutions using a nanomembrane ceramic filter doped with magnetic zeolite. The filter was designed using indigenous materials quartz, clay, and CaCO3 each selected for its unique functional properties. Characterization via Scanning Electron Microscopy revealed a well-distributed porous structure that enhances the filter's adsorption capacity. XRD patterns confirmed the crystalline nature of the ceramic filter and the successful incorporation of magnetic nanoparticles into the membrane matrix. VSM analysis showed that the magnetic properties of the zeolite were superparamagnetic, with a maximum saturation magnetization of 0.08 emu/g. Additionally, zeta potential measurements indicated a strong negative charge of −60.9 mV on the material. The filter’s copper removal efficiency was tested under various conditions (pH, initial concentration, and contact time), achieving a maximum removal efficiency of 99 % at pH 9 and an initial concentration of 60 mg/L. Optimization of operational parameters using Response Surface Methodology (RSM) with a Box–Behnken design resulted in a satisfactory coefficient of determination (R² = 0.80), indicating a good fit between experimental data and predicted results. Overall, the comprehensive characterization and optimization results highlight the potential of nanomembranes filter as an effective and economical solution for copper removal water.</div></div>","PeriodicalId":100257,"journal":{"name":"Cleaner Water","volume":"2 ","pages":"Article 100057"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid data driven approach based on ANNs-PCA for wastewater treatment plant performance assessment","authors":"Redouane Elharbili ,&nbsp;Tawfik El Moussaoui ,&nbsp;Khalid El Ass ,&nbsp;Mohamed Oussama Belloulid ,&nbsp;Abdelhafid El Alaoui El Fels ,&nbsp;Mohamed Yassine Samiri","doi":"10.1016/j.clwat.2024.100058","DOIUrl":"10.1016/j.clwat.2024.100058","url":null,"abstract":"<div><div>In this paper, a data driven method to assess and predict performance of full scale urban activated sludge wastewater treatment plant (WWTP) is presented. The proposed hybrid approach consists of a combination of artificial neural networks (ANNs) and principal component analysis (PCA). Measurement results of a municipal activated sludge WWTP operation of 1.3 million inhabitant equivalents are presented and discussed. In ANNs PCA design, the ANNs used to calculate a nonlinear and dynamic model of the processes under normal operating conditions. Besides, PCA is used to generate monitoring charts based on all measured parameters. Results highlight that ANNs-PCA monitoring is crucial tool that can be used to optimize and predict process spatiotemporal evaluation. This research results provide a practical strategy for improving operation, management and performance prediction of studied WWTP. This supports Sustainable Development Goal (SDG) 6: Clean Water and Sanitation and worldwide sustainability actions and efforts.</div></div>","PeriodicalId":100257,"journal":{"name":"Cleaner Water","volume":"2 ","pages":"Article 100058"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing microbial synergy: A comprehensive evaluation of consortia-mediated bioremediation strategies for petroleum refinery wastewater treatment","authors":"Eziafakaego M. Ibo ,&nbsp;Aina O. Adeogun ,&nbsp;Michael U. Orji ,&nbsp;Odera R. Umeh","doi":"10.1016/j.clwat.2024.100055","DOIUrl":"10.1016/j.clwat.2024.100055","url":null,"abstract":"<div><div>The growing global demand for energy has led to the expansion of oil and gas industries, putting our environment at risk of pollution. The unregulated discharge of petroleum refinery wastewater (PRW), accidental spills, and ineffective policies have led to severe contamination and increased environmental and health consequences making management and mitigation a priority for everyone. This study evaluated the performance of two biological treatment methods - free-cell microbial consortium and immobilized microbial system - in the remediation of PRW using physicochemical, 2,6-dichlorophenollindophenol (DCPIP), Gas chromatography (GC) and Fourier-transform infrared spectroscopy (FTIR) techniques. The effectiveness of the two microbial consortia in reducing concentrations of polycyclic aromatic hydrocarbons (PAHs) and heavy metals (HMs) in the wastewater was compared to determine the most efficient method for treating PRW. The physicochemical result revealed cocktails of contaminants while Alcaligenes faecalis strain SLW6 and strain IAM 12369, and Providencia vermicola strain OP1, showed high degradative capacities. The immobilized and free-cell microbial systems significantly reduced the concentrations of PAHs, and HMs pollutants in the wastewater, with the former showing slightly better removal efficiencies for PAHs (92.97 % vs 87.34 %), heavy metals (99.17 %), and oil weight reduction (87.76 % vs 82.25 %) after the 28-day biodegradation period respectively. GC and FTIR analyses confirmed the formation of various degraded products, demonstrating the microbial consortia's effectiveness in degrading complex organic compounds. The findings highlight the potential of microbial consortia-mediated remediation as an eco-friendly and sustainable approach for treating PRW, contributing to protecting water resources and promoting sustainable practices in the petroleum industry.</div></div>","PeriodicalId":100257,"journal":{"name":"Cleaner Water","volume":"2 ","pages":"Article 100055"},"PeriodicalIF":0.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resources optimization using Pareto analysis for sea water desalination plants","authors":"Nicolau Chirinza ,&nbsp;Paulino Muguirrima ,&nbsp;Federico A. Leon Zerpa ,&nbsp;Alejandro Ramos Martin ,&nbsp;Carlos A. Mendieta Pino","doi":"10.1016/j.clwat.2024.100054","DOIUrl":"10.1016/j.clwat.2024.100054","url":null,"abstract":"<div><div>This study examines the potential of implementing a systematic approach to piloting desalination plants, with the objective of evaluating energy improvements in water desalination processes. The introduction of new reverse osmosis membranes is imperative at the small-scale level. The findings can be extrapolated to inform the operation of large-scale desalination plants. The objective of this approach is to achieve the optimal water quality standard at the lowest possible cost. In this manner, pilot tests are being conducted prior to the determination of whether to alter the reverse osmosis membranes, as this represents a substantial investment. The objective of these tests is to minimise the risk of making an erroneous decision and to ensure optimal results in terms of energy consumption, operating costs and reduction of environmental impact, while complying with the requisite water quality standards. In this instance, the Pareto analysis is utilised to ascertain the two or three most significant causes whose treatment affects more than 80 % of the potential energy savings to be implemented. This article introduces a novel approach to studying a total of 180 desalination plants at the territorial level in the Canaries.</div></div>","PeriodicalId":100257,"journal":{"name":"Cleaner Water","volume":"2 ","pages":"Article 100054"},"PeriodicalIF":0.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The incorporation of activated carbon as a substrate in a constructed wetland. A review","authors":"Petro Karungamye","doi":"10.1016/j.clwat.2024.100053","DOIUrl":"10.1016/j.clwat.2024.100053","url":null,"abstract":"<div><div>This review examines the potential of utilizing activated carbon as a substrate in constructed wetlands. The integration of activated carbon aims to enhance the quality of water and wastewater by leveraging natural treatment processes alongside the adsorptive capabilities of activated carbon. Due to its high surface area and unique pore structure, activated carbon effectively adsorbs a range of pollutants, such as organic compounds, heavy metals, and nutrients. Researchers are focused on improving the removal of contaminants that traditional constructed wetland systems may struggle to address. Various methods for integrating activated carbon include mixing it with other substrates or employing it as a distinct layer within the wetland bed. The success of these strategies is influenced by factors such as the type of pollutants, hydraulic retention time, and the characteristics of wetland vegetation. Studies have shown that activated carbon can enhance the elimination of contaminants like pharmaceuticals, pesticides, and industrial waste in constructed wetlands. Nonetheless, additional research is required to optimize the design and operation of these systems, investigate variables such as carbon particle size and loading rates, and perform long-term monitoring to evaluate the stability and sustainability of activated carbon-enhanced constructed wetlands.</div></div>","PeriodicalId":100257,"journal":{"name":"Cleaner Water","volume":"2 ","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142654526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term AI prediction of ammonium levels in rivers using transformer and ensemble models","authors":"Ali J. Ali,&nbsp;Ashraf A. Ahmed","doi":"10.1016/j.clwat.2024.100051","DOIUrl":"10.1016/j.clwat.2024.100051","url":null,"abstract":"<div><div>This study provides a cutting-edge machine learning approach to forecast ammonium (<span><math><msubsup><mrow><mi>NH</mi></mrow><mrow><mn>4</mn></mrow><mrow><mo>+</mo></mrow></msubsup></math></span>) levels in River Lee London. Ammonium concentrations were predicted over several time intervals using a complete dataset that includes temperature, turbidity, chlorophyll, dissolved oxygen, conductivity, and pH. Our technique captures the intricate connections between environmental conditions and ammonium concentrations using developed algorithms, including Temporal Fusion Transformer (TFT), Random Forest (RF) and Extreme Gradient Boosting (XGBoost) levels versus the important factors, considerably improving prediction accuracy. The novel aspect of this study is the utilisation of the TFT model for multi-horizon forecasting, which offers high accuracy and interpretability in hydrological predictions by combining convolutional components with an attention mechanism. The study also demonstrates the effectiveness of the TFT model in capturing short-term fluctuations while retaining accuracy over long time periods, which is a major difficulty in environmental modelling. The models used, have exceptional forecasting skills, predicting 150, 200, 365, 730, and 1095 days based on daily average and 12, 24 and 30 months based on monthly average. This dual-scale model combines flexibility and resilience, making it an effective tool for forecasting both short- and long-term environmental changes. The RF model excelled in long-term forecasts, sustaining high R-squared (R²) (0.97) values and low root mean square error (RMSE) (0.18), and the second best one was the XGBoost with optimiser with R² of (0.92) and RMSE of (0.25) with forecasting 1095 days. The results also found that whilst the TFT captured the fluctuations in the short-term, it struggled with the longer-term predictions due to data granularity. The XGBoost model did remarkably well in monthly forecasts up to 12 months, maintaining low RSME. The findings also highlight the necessity of proactive water management techniques to reduce the risk of potential ecological effects, including hypoxia and oxygen depletion. The findings support resource managers in addressing prospective ammonium toxicity concerns such as oxygen depletion and ecological stress.</div></div>","PeriodicalId":100257,"journal":{"name":"Cleaner Water","volume":"2 ","pages":"Article 100051"},"PeriodicalIF":0.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}