Xiaoli Du, Wenhui Jing, Rongying Jiang, Mengyao Chen, Dianwei Liu
{"title":"Removal of dissolved organic matter in road runoff with sludge-based filters from the drinking water treatment plant.","authors":"Xiaoli Du, Wenhui Jing, Rongying Jiang, Mengyao Chen, Dianwei Liu","doi":"10.2166/wst.2024.405","DOIUrl":"10.2166/wst.2024.405","url":null,"abstract":"<p><p>Road runoff underwent treatment using a filter filled with sludge from drinking water treatment plants to assess its capacity for removing dissolved organic matter (DOM). This evaluation utilized resin fractionation, gel permeation chromatography, three-dimensional excitation-emission matrix fluorescence spectroscopy, and UV-Visible spectroscopy. The filter demonstrated enhanced efficiency in removing dissolved organic carbon, achieving removal rates between 70 and 80%. It effectively targeted macromolecular DOM components present in road runoff, with hydrophobic organic compounds showing higher removal rates than hydrophilic ones. Additionally, acidic and neutral organic substances were preferentially removed over basic organic compounds. Fluorescent substances identified in road runoff DOM included fulvic acid-like, humic acids, and protein-like substances, all of which exhibited significantly reduced intensities in fluorescence peaks after filtration. Furthermore, filtration led to a decrease in the aromatization and humification of runoff DOM due to the effective removal of aromatic compounds and macromolecular structural components<b>.</b></p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"91 2","pages":"160-173"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143068100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of an anaerobic reactor for the treatment of sulfide-rich wastewater using biogas for H<sub>2</sub>S removal.","authors":"Takashi Onodera, Yasuyuki Takemura, Masataka Aoki, Kazuaki Syutsubo","doi":"10.2166/wst.2024.383","DOIUrl":"https://doi.org/10.2166/wst.2024.383","url":null,"abstract":"<p><p>Anaerobic treatment of sulfur-rich wastewater is challenging because sulfide greatly inhibits the activity of anaerobic microorganisms, especially methanogenic archaea. We developed an internal phase-separated reactor (IPSR) that removed sulfide prior to methanogenesis by gas stripping using biogas produced in the reactor. The IPSR was fed with synthetic wastewater containing a very high sulfide concentration of up to 6,000 mg S L<sup>-1</sup> with a chemical oxygen demand (COD) of 30,000 mg L<sup>-1</sup>. The IPSR was operated at an organic loading rate of 5-12 kg COD m<sup>-3</sup> day<sup>-1</sup> at 35 °C. The results show that the sulfide concentration was reduced from 6,000 mg S L<sup>-1</sup> in the influent to <700 mg S L<sup>-1</sup> in the first-stage effluent. The second-stage effluent contained <400 mg S L<sup>-1</sup>. As a result of effective sulfide removal by its gas stripping function, the IPSR had a COD removal efficiency of >90% over the entire experimental period. High-throughput 16S rRNA gene sequencing revealed that the major anaerobic archaea were Methanobacterium and Methanosaeta, which are frequently found in high-rate anaerobic reactors. Thus, the IPSR maintains these microorganisms and achieves high-process performance even when fed wastewater with very high sulfide concentrations<b>.</b></p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 11","pages":"3029-3040"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Influence of aqueous constituents on hexafluoropropylene oxide trimer acid (HFPO-TA) defluorination by UV/sulfite/iodide system.","authors":"Jie Gao, Chaojie Zhang, Liquan Chu, Yunmeng Zhao, Zhenyu Zhai, Xuefei Zhou, Yalei Zhang","doi":"10.2166/wst.2024.392","DOIUrl":"https://doi.org/10.2166/wst.2024.392","url":null,"abstract":"<p><p>Hexafluoropropylene oxide trimer acid (HFPO-TA) is an emerging alternative to traditional perfluoroalkyl substances (PFASs), which is characterized by its biotoxicity and persistence. The UV/sulfite/iodide photo-induced hydrated electrons system can effectively degrade HFPO-TA under mild conditions. However, the effects of water quality on this system need to be urgently investigated. This study explored the impact of common aqueous constituents, such as Cl-, HCO3-, PO43- and humic acid (HA) on the defluorination efficiency of HFPO-TA by the UV/sulfite/iodide system. Results indicated that low concentrations of Cl- (<1.0 mM), PO43- (<0.01 mM), and HA (<1.0 mg/L) have little effect on defluorination efficiency. However, as concentrations increase, these constituents can interact with photosensitizers or reactive species within the system, leading to a decrease in defluorination efficiency. HCO3-, in their various solution states, can compete with HFPO-TA for the hydrated electron (eaq-) or engage directly with the photosensitizer, resulting in a hindrance to the defluorination capabilities of the system. Furthermore, it was identified that the components in Xiaoqing River, especially Cl- and HCO3-, could greatly inhibit the defluorination and degradation efficiency of HFPO-TA by the system. Pretreatment such as nanofiltration would effectively mitigate this problem.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 12","pages":"3180-3192"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142903050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Francesca Bellamoli, Marco Vian, Mattia Di Iorio, Farid Melgani
{"title":"Domain adaptation through active learning strategies for anomaly classification in wastewater treatment plants.","authors":"Francesca Bellamoli, Marco Vian, Mattia Di Iorio, Farid Melgani","doi":"10.2166/wst.2024.387","DOIUrl":"https://doi.org/10.2166/wst.2024.387","url":null,"abstract":"<p><p>The increasing use of intermittent aeration controllers in wastewater treatment plants (WWTPs) aims to reduce aeration costs via continuous ammonia and oxygen measurements but faces challenges in detecting sensor and process anomalies. Applying machine learning to this unbalanced, multivariate, multiclass classification challenge requires much data, difficult to obtain from a new plant. This study develops a machine learning algorithm to identify anomalies in intermittent aeration WWTPs, adaptable to new plants with limited data. Utilizing active learning, the method iteratively selects samples from the target domain to fine-tune a gradient-boosting model initially trained on data from 17 plants. Three sampling strategies were tested, with low probability and high entropy sampling proving effective in early adaptation, achieving an F2-score close to the optimal with minimal sample use. The objective is to deploy these models as decision support systems for WWTP management, providing a strategy for efficient model adaptation to new plants, and optimizing labeling efforts<b>.</b></p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 11","pages":"3123-3138"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessing the photodegradation efficiency of benzene, toluene, and xylene (BTX): A comparative investigation using activated charcoal (AC), zeolitic imidazolate framework-8 (ZIF-8), and zirconium metal-organic framework (Zr-MOF).","authors":"Shibyendu Nikhar, Mitun Chakraborty","doi":"10.2166/wst.2024.385","DOIUrl":"https://doi.org/10.2166/wst.2024.385","url":null,"abstract":"<p><p>In this study, three different materials were investigated for their ability to degrade benzene, toluene, and xylene (BTX) using light energy. The materials studied were activated charcoal (AC), zeolitic imidazolate framework (ZIF-8), and zirconium metal-organic framework (Zr-MOF). Initially, AC, ZIF-8, and Zr-MOF were characterized using X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), Brunauer-Emmett-Teller (BET) surface area analysis, and spectroscopic analysis techniques. Based on their excellent features, that is, band gap (5.5, 5.45, and 4.75 eV), surface area (711.5, 1,122.1, and 535.4 m<sup>2</sup>/g), and pore volume (0.291, 0.369, and 0.628 cm<sup>3</sup>/g), a comparative photodegradation analysis of BTX was performed in acetonitrile. We found that Zr-MOF is the best photocatalyst to degrade BTX, with degradation percentages of 97, 95, and 94% (B > T > X), respectively, followed by ZIF-8 and AC. Our study suggests that these photocatalysts can be used to degrade BTX using light energy, which could reduce the health and environmental impacts of BTX. Our results illustrate that advanced porous materials may be established as photocatalyst materials with the potential to address the long-standing challenges associated with pollutant degradation.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 12","pages":"3193-3209"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142903024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shalongo T Angula, John Okedi, Theo Harding, Giacomo Bellandi, David S Ikumi
{"title":"Hybrid modelling framework for ozonation and biological activated carbon in tertiary wastewater treatment.","authors":"Shalongo T Angula, John Okedi, Theo Harding, Giacomo Bellandi, David S Ikumi","doi":"10.2166/wst.2024.379","DOIUrl":"https://doi.org/10.2166/wst.2024.379","url":null,"abstract":"<p><p>Despite water being a significant output of water and resource recovery facilities (WRRFs), tertiary wastewater treatment processes are often underrepresented in integrated WRRF models. This study critically reviews the approaches used in comprehensive models for ozone (O<sub>3</sub>) and biological activated carbon (BAC) operation units for wastewater tertiary treatment systems. The current models are characterised by limitations in the mechanisms that describe O<sub>3</sub> disinfection and disinfection by-product formation, and BAC adsorption in multi-component solutes. Drawing from the insights from the current O<sub>3</sub>, BAC, and WRRF modelling approaches, we propose an integrated O<sub>3</sub>-BAC model suitable for simulating dissolved organic carbon (DOC) and micropollutants removal in the O<sub>3</sub>-BAC systems. We recommend a hybrid modelling approach in which data-driven models can be integrated to compensate for structural limitations in mechanistic models. The model is developed within the activated sludge model (ASM) framework for flexibility in coupling with other WRRF models and hence facilitates developing system-wide WRRF models for wastewater reclamation and reuse systems.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 11","pages":"3052-3075"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sandile S Msimango, Mahmoud Nasr, Faizal Bux, Sheena Kumari
{"title":"Impact of chemical oxygen demand to nitrogen ratio on ANAMMOX bacterial growth in an up-flow anaerobic sludge blanket reactor.","authors":"Sandile S Msimango, Mahmoud Nasr, Faizal Bux, Sheena Kumari","doi":"10.2166/wst.2024.376","DOIUrl":"https://doi.org/10.2166/wst.2024.376","url":null,"abstract":"<p><p>While several studies have investigated the effect of varying carbon-to-nitrogen (C/N) ratios on the ANAMMOX performance, there is still a research gap in illustrating the shift in 16S rRNA gene copy number and functional microbial population during operation. Hence, this study focuses on utilizing a reference gene and target functional genes to demonstrate the synergetic interaction between ANAMMOX, ammonia-oxidizing bacteria (AOB), and nitrite-oxidizing bacteria (NOB), using an up-flow anaerobic sludge blanket (UASB) under different C/N conditions. It was demonstrated that elevating the C/N ratio from 1.0 to 2.0 reduced the COD and NH4<sup>+</sup>-N removal efficiencies from 80.12 to 48.62% and from 88.99 to 72.59%, respectively. Based on the qPCR evaluation, at the C/N ratio of 1.5, the abundance of ANAMMOX, AOB, <i>Nitrobacter</i>, and <i>Nitrospira</i> was 2.52 × 10<sup>6</sup>, 82, 5.39 × 10<sup>3</sup>, and 12.98 × 10<sup>3</sup> copies/μL, respectively. However, with the further increase of C/N ratio to 2.0, their abundance was reduced to 1.09 × 10<sup>6</sup>, 46, 0.98 × 10<sup>3</sup>, and 3.47 × 10<sup>3</sup> copies/μL, respectively. The expression of <i>hzo</i> gene encoding for hydrazine dehydrogenase was 169-folds at C/N = 1 and almost inhibited at C/N = 2. The results of microbial population structure using 16S rRNA reverse transcriptase (RT)-qPCR technique depicted a competition between ANAMMOX and heterotrophic bacteria for the available substrate at higher C/N ratios.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 11","pages":"2978-2990"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hana Atallah Al-Asad, Jens Alex, Janna Parniske, Tobias Morck
{"title":"Simulation-based process optimization of full-scale advanced wastewater treatment systems using powdered activated carbon.","authors":"Hana Atallah Al-Asad, Jens Alex, Janna Parniske, Tobias Morck","doi":"10.2166/wst.2024.382","DOIUrl":"https://doi.org/10.2166/wst.2024.382","url":null,"abstract":"<p><p>This study extends a previously developed competitive modeling approach for predicting the adsorption of organic micropollutants (OMPs) on powdered activated carbon (PAC) in full-scale advanced wastewater treatment. The approach incorporates adsorption analysis for organic matter fractionation, assumes pseudo-first order kinetics and differentiates between fresh and partially loaded PAC through fraction segregation. Validation through full-scale measurement campaigns reveals successful model predictions of OMP removal, underestimating, however, diclofenac removals by 15-20%. Based on model testing, the impact of excess PAC return to the biological stage enhanced OMP removal, reaching up to 15% improvement for benzotriazole, carbamazepine and metoprolol, but no evident improvement of diclofenac removal. Intermittent PAC dosing revealed rapid process response, where organic matter concentration increased within 2 h after PAC cut-off. The simulation-based study demonstrated that during rain events, the overall OMP removal efficiency in the entire wastewater treatment plant was reduced by approximately 50% due to a shift of OMP concentration and a shortened hydraulic retention time in the biological and adsorption stages. Testing of various PAC dosing strategies revealed potential PAC savings of 10-15% compared to inflow-proportional dosing by using predefined OMP removal grades or maximum allowable effluent OMP concentrations as criteria for PAC dosing.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 11","pages":"3008-3028"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diana Yánez, Lidia Carolina Espinoza, Ignacio Vargas, Julio Romero, María Jesús Aguirre, Roxana Arce, Esteban Quijada-Maldonado, Ricardo Abejon
{"title":"Treated greywater as a novel water resource: The perspective of greywater treatment for reuse from a bibliometric analysis.","authors":"Diana Yánez, Lidia Carolina Espinoza, Ignacio Vargas, Julio Romero, María Jesús Aguirre, Roxana Arce, Esteban Quijada-Maldonado, Ricardo Abejon","doi":"10.2166/wst.2024.384","DOIUrl":"https://doi.org/10.2166/wst.2024.384","url":null,"abstract":"<p><p>The current global water crisis has prompted research into technologies that can reuse different water resources to mitigate water scarcity. The use of treated greywater can be proposed to provide additional water resources. By reusing this water in different applications, this water crisis can be mitigated at the local scale. This study presents a bibliometric analysis to assess the state of the art of greywater treatment and its reuse technologies. This analysis is based on the scientific literature published until 2023 in Scopus regarding greywater treatment and 1,024 documents were found. The results showed a clear exponential increase in the accumulated number of publications in this topic, which was spurred during the mid-1990s. The most prolific country was the United States, while China, the other typical scientific superpower in most fields, occupied the sixth position in the ranking. Environmental Sciences was the knowledge subject with more documents, followed by Engineering and Chemical Engineering. The bibliometric study was complemented using SciMAT to create bibliometric networks that represent the dynamic evolution of the themes. The most important themes were identified, among which three key points stand out: greywater characterization, technologies for greywater treatment, and water management, including the reuse of treated greywater.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 11","pages":"3076-3110"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reduction of blue and total water footprints per unit biomass yield of silage maize with grey water footprint input in subsurface drip irrigation.","authors":"Talip Cakmakci, Ustun Sahin","doi":"10.2166/wst.2024.380","DOIUrl":"https://doi.org/10.2166/wst.2024.380","url":null,"abstract":"<p><p>Reducing blue and total water footprint outputs in irrigated agriculture with greywater footprint input from irrigation with recycled wastewater is an issue that needs to be investigated in protecting freshwater resources by increasing water availability. Therefore, the effect of three different irrigation levels of recycled wastewater and freshwater in the subsurface drip irrigation (SSDI), surface drip irrigation (SDI), and furrow irrigation (FI) methods on the blue, green, grey, and total water footprints per unit yield of silage maize, which is widely produced worldwide and has high water consumption, was investigated with a 2-year field study. The blue and total water footprints per unit fresh and dry biomass yields in the SSDI were 1.20-1.23-fold lower than that in the SDI and 1.69-1.76-fold lower than that in the FI. Full wastewater irrigation provided the lowest blue, green, and total water footprints per unit yield across all methods. Full wastewater irrigation under SSDI provided the lowest total water footprint per unit fresh biomass yield, similar to the 33% deficit irrigation practice with wastewater. It was concluded that full irrigation with recycled wastewater as a greywater resource under SSDI may be the most suitable application for the sustainable management of scarce blue water resources.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 11","pages":"2991-3007"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}