Pub Date : 2025-02-16DOI: 10.1016/S1674-2370(25)00012-2
{"title":"Thanks to our academic editors and peer reviewers","authors":"","doi":"10.1016/S1674-2370(25)00012-2","DOIUrl":"10.1016/S1674-2370(25)00012-2","url":null,"abstract":"","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"18 1","pages":"Page I"},"PeriodicalIF":3.7,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419759","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}
Pub Date : 2024-08-30DOI: 10.1016/j.wse.2024.08.003
Yan-tao Zhu , Chong-shi Gu , Mihai A. Diaconeasa
Deformation monitoring is a critical measure for intuitively reflecting the operational behavior of a dam. However, the deformation monitoring data are often incomplete due to environmental changes, monitoring instrument faults, and human operational errors, thereby often hindering the accurate assessment of actual deformation patterns. This study proposed a method for quantifying deformation similarity between measurement points by recognizing the spatiotemporal characteristics of concrete dam deformation monitoring data. It introduces a spatiotemporal clustering analysis of the concrete dam deformation behavior and employs the support vector machine model to address the missing data in concrete dam deformation monitoring. The proposed method was validated in a concrete dam project, with the model error maintaining within 5%, demonstrating its effectiveness in processing missing deformation data. This approach enhances the capability of early-warning systems and contributes to enhanced dam safety management.
{"title":"A missing data processing method for dam deformation monitoring data using spatiotemporal clustering and support vector machine model","authors":"Yan-tao Zhu , Chong-shi Gu , Mihai A. Diaconeasa","doi":"10.1016/j.wse.2024.08.003","DOIUrl":"10.1016/j.wse.2024.08.003","url":null,"abstract":"<div><div>Deformation monitoring is a critical measure for intuitively reflecting the operational behavior of a dam. However, the deformation monitoring data are often incomplete due to environmental changes, monitoring instrument faults, and human operational errors, thereby often hindering the accurate assessment of actual deformation patterns. This study proposed a method for quantifying deformation similarity between measurement points by recognizing the spatiotemporal characteristics of concrete dam deformation monitoring data. It introduces a spatiotemporal clustering analysis of the concrete dam deformation behavior and employs the support vector machine model to address the missing data in concrete dam deformation monitoring. The proposed method was validated in a concrete dam project, with the model error maintaining within 5%, demonstrating its effectiveness in processing missing deformation data. This approach enhances the capability of early-warning systems and contributes to enhanced dam safety management.</div></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"17 4","pages":"Pages 417-424"},"PeriodicalIF":3.7,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536159","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}
Pub Date : 2024-08-23DOI: 10.1016/j.wse.2024.08.002
Pei-de Liang , Jun Chen , Teng Wu , Jing Yan
To enhance the operational capacity and space utilization of baffle-drop shafts, this study improved the traditional baffle-drop shaft by expanding the wet-side space, incorporating large rotation-angle baffles, and installing overflow holes in the dividing wall. A three-dimensional turbulent model was developed using ANSYS Fluent to simulate the hydraulic characteristics of both traditional and new baffle-drop shafts across various flow rates. The simulation results demonstrated that the new shaft design allowed for discharge from both the wet and dry sides, significantly improving operational capacity, with the dry side capable of handling 40% of the inlet flow. Compared to the traditional shaft, the new design reduced shaft wall pressures and decreased the mean and standard deviation of pressure on typical baffles by 21% and 63%, respectively, therefore enhancing structural safety. Additionally, the new shaft achieved a 2%–12% higher energy dissipation rate than the traditional shaft across different flow rates. This study offers valuable insights for the design and optimization of drop shafts in deep tunnel drainage systems.
{"title":"Hydraulic characteristics of a large rotation-angle baffle-drop shaft through synergetic discharge from dry and wet sides","authors":"Pei-de Liang , Jun Chen , Teng Wu , Jing Yan","doi":"10.1016/j.wse.2024.08.002","DOIUrl":"10.1016/j.wse.2024.08.002","url":null,"abstract":"<div><div>To enhance the operational capacity and space utilization of baffle-drop shafts, this study improved the traditional baffle-drop shaft by expanding the wet-side space, incorporating large rotation-angle baffles, and installing overflow holes in the dividing wall. A three-dimensional turbulent model was developed using ANSYS Fluent to simulate the hydraulic characteristics of both traditional and new baffle-drop shafts across various flow rates. The simulation results demonstrated that the new shaft design allowed for discharge from both the wet and dry sides, significantly improving operational capacity, with the dry side capable of handling 40% of the inlet flow. Compared to the traditional shaft, the new design reduced shaft wall pressures and decreased the mean and standard deviation of pressure on typical baffles by 21% and 63%, respectively, therefore enhancing structural safety. Additionally, the new shaft achieved a 2%–12% higher energy dissipation rate than the traditional shaft across different flow rates. This study offers valuable insights for the design and optimization of drop shafts in deep tunnel drainage systems.</div></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"18 1","pages":"Pages 115-124"},"PeriodicalIF":3.7,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419758","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}
Understanding the occurrence and characteristics of dry and wet events is crucial for effective disaster prevention, resource management, and risk reduction in vulnerable regions. This study analyzed the spatiotemporal patterns of dry–wet events and their transition characteristics in Uttar Pradesh, India. The standardized precipitation evapotranspiration index (SPEI) at a monthly timescale was utilized to identify hotspot regions vulnerable to concurrent and frequent dry and wet events and their transitions. The severity, duration, and intensity of dry and wet events were characterized with the run theory over SPEI time series data from 18 synoptic stations in Uttar Pradesh over 48 years (1971–2018), sourced from the Indian Institute of Tropical Meteorology and the India Meteorological Department. Multiple assessment methods were utilized to examine the interaction of these extreme events, considering characteristics such as wet–dry ratio, average transition time, and rapid transition times from wet to dry events and from dry to wet events. Average wet durations ranged from 1.27 to 1.58 months, and average dry durations ranged from 1.29 to 1.82 months. Rapid transition times from dry to wet events ranged from 2.5 to 4.1 months, and those for wet-to-dry events ranged from 2.1 to 5.3 months. The eastern region experienced a significantly high number of dry events, while the western and Bundelkhand regions experienced more intense dry events. In contrast, the eastern region had intense wet events. This research on the occurrence of dry–wet events and their transitions can provide valuable insights for government decision-making and disaster prevention and reduction efforts.
{"title":"Comprehensive analysis of characteristics of dry–wet events and their transitions in Uttar Pradesh, India","authors":"Shivani Gond , Ashish Kumar Agnihotri , Nitesh Gupta , P.K.S. Dikshit","doi":"10.1016/j.wse.2024.06.003","DOIUrl":"10.1016/j.wse.2024.06.003","url":null,"abstract":"<div><div>Understanding the occurrence and characteristics of dry and wet events is crucial for effective disaster prevention, resource management, and risk reduction in vulnerable regions. This study analyzed the spatiotemporal patterns of dry–wet events and their transition characteristics in Uttar Pradesh, India. The standardized precipitation evapotranspiration index (SPEI) at a monthly timescale was utilized to identify hotspot regions vulnerable to concurrent and frequent dry and wet events and their transitions. The severity, duration, and intensity of dry and wet events were characterized with the run theory over SPEI time series data from 18 synoptic stations in Uttar Pradesh over 48 years (1971–2018), sourced from the Indian Institute of Tropical Meteorology and the India Meteorological Department. Multiple assessment methods were utilized to examine the interaction of these extreme events, considering characteristics such as wet–dry ratio, average transition time, and rapid transition times from wet to dry events and from dry to wet events. Average wet durations ranged from 1.27 to 1.58 months, and average dry durations ranged from 1.29 to 1.82 months. Rapid transition times from dry to wet events ranged from 2.5 to 4.1 months, and those for wet-to-dry events ranged from 2.1 to 5.3 months. The eastern region experienced a significantly high number of dry events, while the western and Bundelkhand regions experienced more intense dry events. In contrast, the eastern region had intense wet events. This research on the occurrence of dry–wet events and their transitions can provide valuable insights for government decision-making and disaster prevention and reduction efforts.</div></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"18 1","pages":"Pages 59-68"},"PeriodicalIF":3.7,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419795","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}
Pub Date : 2024-06-26DOI: 10.1016/j.wse.2024.06.002
Juan Chen , Lu Zhang , Guo-zhi Li , Ping-an Zhong
Flood control operation, a non-engineering measure, can efficiently manage flood disasters within a river basin. However, numerous uncertainties exit in the real-time operation of flood control systems, creating risks in decision-making. As an efficient tool to mitigate these risks, risk management has garnered increasing attention in real-time flood control operation. This communication offers a series of suggestions for future research concerning risk management in real-time flood control operation, including risk assessment, risk diagnosis, and risk control methods.
{"title":"Perspectives on risk analysis and control for real-time operation of flood control systems","authors":"Juan Chen , Lu Zhang , Guo-zhi Li , Ping-an Zhong","doi":"10.1016/j.wse.2024.06.002","DOIUrl":"10.1016/j.wse.2024.06.002","url":null,"abstract":"<div><div>Flood control operation, a non-engineering measure, can efficiently manage flood disasters within a river basin. However, numerous uncertainties exit in the real-time operation of flood control systems, creating risks in decision-making. As an efficient tool to mitigate these risks, risk management has garnered increasing attention in real-time flood control operation. This communication offers a series of suggestions for future research concerning risk management in real-time flood control operation, including risk assessment, risk diagnosis, and risk control methods.</div></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"17 4","pages":"Pages 319-322"},"PeriodicalIF":3.7,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535575","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}
Pub Date : 2024-06-08DOI: 10.1016/j.wse.2024.06.001
Min Li , Bo Liang , Jie-ming Liu , Jin Zhang , Bin Wang , Jie Shang
The discharge of effluents containing uranium (U) ions into aquatic ecosystems poses significant risks to both human health and marine organisms. This study investigated the biosorption of U(VI) ions from aqueous solutions using corncob-sodium alginate (SA)-immobilized Trichoderma aureoviride hyphal pellets. Experimental parameters, including initial solution pH, initial concentration, temperature, and contact time, were systematically examined to understand their influence on the bioadsorption process. Results showed that the corncob-SA-immobilized T. aureoviride hyphal pellets exhibited maximum uranium biosorption capacity at an initial pH of 6.23 and a contact time of 12 h. The equilibrium data aligned with the Langmuir isotherm model, with a maximum biosorption capacity of 105.60 mg/g at 301 K. Moreover, biosorption kinetics followed the pseudo-second-order kinetic model. In terms of thermodynamic parameters, the changes in Gibbs-free energy (ΔG°) were determined to be −4.29 kJ/mol at 301 K, the changes in enthalpy (ΔH°) were 46.88 kJ/mol, and the changes in entropy (ΔS°) was 164.98 J/(mol·K). Notably, the adsorbed U(VI) could be efficiently desorbed using Na2CO3, with a maximum readsorption efficiency of 53.6%. Scanning electron microscopic (SEM) analysis revealed U(VI) ion binding onto the hyphal pellet surface. This study underscores the efficacy of corncob-SA-immobilized T. aureoviride hyphal pellets as a cost-effective and environmentally favorable biosorbent material for removing U(VI) from aquatic ecosystems.
{"title":"Trichoderma aureoviride hyphal pellets embedded in corncob-sodium alginate matrix for efficient uranium(VI) biosorption from aqueous solutions","authors":"Min Li , Bo Liang , Jie-ming Liu , Jin Zhang , Bin Wang , Jie Shang","doi":"10.1016/j.wse.2024.06.001","DOIUrl":"10.1016/j.wse.2024.06.001","url":null,"abstract":"<div><div>The discharge of effluents containing uranium (U) ions into aquatic ecosystems poses significant risks to both human health and marine organisms. This study investigated the biosorption of U(VI) ions from aqueous solutions using corncob-sodium alginate (SA)-immobilized <em>Trichoderma aureoviride</em> hyphal pellets. Experimental parameters, including initial solution pH, initial concentration, temperature, and contact time, were systematically examined to understand their influence on the bioadsorption process. Results showed that the corncob-SA-immobilized <em>T. aureoviride</em> hyphal pellets exhibited maximum uranium biosorption capacity at an initial pH of 6.23 and a contact time of 12 h. The equilibrium data aligned with the Langmuir isotherm model, with a maximum biosorption capacity of 105.60 mg/g at 301 K. Moreover, biosorption kinetics followed the pseudo-second-order kinetic model. In terms of thermodynamic parameters, the changes in Gibbs-free energy (Δ<em>G</em>°) were determined to be −4.29 kJ/mol at 301 K, the changes in enthalpy (Δ<em>H</em>°) were 46.88 kJ/mol, and the changes in entropy (Δ<em>S</em>°) was 164.98 J/(mol·K). Notably, the adsorbed U(VI) could be efficiently desorbed using Na<sub>2</sub>CO<sub>3</sub>, with a maximum readsorption efficiency of 53.6%. Scanning electron microscopic (SEM) analysis revealed U(VI) ion binding onto the hyphal pellet surface. This study underscores the efficacy of corncob-SA-immobilized <em>T. aureoviride</em> hyphal pellets as a cost-effective and environmentally favorable biosorbent material for removing U(VI) from aquatic ecosystems.</div></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"18 1","pages":"Pages 51-58"},"PeriodicalIF":3.7,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141401284","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}
Pub Date : 2024-05-23DOI: 10.1016/j.wse.2024.05.004
Li-xiao Ni , Yuan-yi Fang , Cun-hao Du , Jia-jia Wang , Cheng-jie Zhu , Chu Xu , Shi-yin Li , Jian Xu , Xu-qing Chen , Hua Su
Harmful algal blooms (HABs) resulting from eutrophication pose a major threat to ecosystems and human health, necessitating effective control measures. Allelochemicals have shown their importance in slowing down algal proliferation due to their proven efficacy and low ecological impacts. In this study, allelopathy tea polyphenols (TPs) and β-cyclodextrin were combined to prepare slow-release algicidal microcapsules, and the diversity of microbial community in the algal inhibition process was analyzed. Results showed that TP slow-release microcapsules had strong algicidal activity. When against Microcystis aeruginosa within 20 d, their constant inhibitory rate was up to 99% compared to the control group. Microbial diversity decreased with an increase in algae density, and the species richness and diversity of algae increased under the stress of TP slow-release microcapsules. The redundancy analysis showed that the environmental factors with impacts on the abundance and diversity of bacterial communities in descending order were dissolved oxygen, pH, and temperature. This study provides a theoretical basis for the application of TP slow-release microcapsules to actual water.
{"title":"Microbial community diversity during algal inhibition using slow-release microcapsules of tea polyphenols","authors":"Li-xiao Ni , Yuan-yi Fang , Cun-hao Du , Jia-jia Wang , Cheng-jie Zhu , Chu Xu , Shi-yin Li , Jian Xu , Xu-qing Chen , Hua Su","doi":"10.1016/j.wse.2024.05.004","DOIUrl":"10.1016/j.wse.2024.05.004","url":null,"abstract":"<div><p>Harmful algal blooms (HABs) resulting from eutrophication pose a major threat to ecosystems and human health, necessitating effective control measures. Allelochemicals have shown their importance in slowing down algal proliferation due to their proven efficacy and low ecological impacts. In this study, allelopathy tea polyphenols (TPs) and β-cyclodextrin were combined to prepare slow-release algicidal microcapsules, and the diversity of microbial community in the algal inhibition process was analyzed. Results showed that TP slow-release microcapsules had strong algicidal activity. When against <em>Microcystis aeruginosa</em> within 20 d, their constant inhibitory rate was up to 99% compared to the control group. Microbial diversity decreased with an increase in algae density, and the species richness and diversity of algae increased under the stress of TP slow-release microcapsules. The redundancy analysis showed that the environmental factors with impacts on the abundance and diversity of bacterial communities in descending order were dissolved oxygen, pH, and temperature. This study provides a theoretical basis for the application of TP slow-release microcapsules to actual water.</p></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"17 3","pages":"Pages 266-273"},"PeriodicalIF":4.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1674237024000528/pdfft?md5=10c451ad88403e633f575865288f70e8&pid=1-s2.0-S1674237024000528-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141133382","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}
Pub Date : 2024-05-23DOI: 10.1016/j.wse.2024.05.003
Voravich Ganthavee, Antoine P. Trzcinski
The highly efficient electrochemical treatment technology for dye-polluted wastewater is one of hot research topics in industrial wastewater treatment. This study reported a three-dimensional electrochemical treatment process integrating graphite intercalation compound (GIC) adsorption, direct anodic oxidation, and ·OH oxidation for decolourising Reactive Black 5 (RB5) from aqueous solutions. The electrochemical process was optimised using the novel progressive central composite design–response surface methodology (CCD–NPRSM), hybrid artificial neural network–extreme gradient boosting (hybrid ANN–XGBoost), and classification and regression trees (CART). CCD–NPRSM and hybrid ANN–XGBoost were employed to minimise errors in evaluating the electrochemical process involving three manipulated operational parameters: current density, electrolysis (treatment) time, and initial dye concentration. The optimised decolourisation efficiencies were 99.30%, 96.63%, and 99.14% for CCD–NPRSM, hybrid ANN–XGBoost, and CART, respectively, compared to the 98.46% RB5 removal rate observed experimentally under optimum conditions: approximately 20 mA/cm2 of current density, 20 min of electrolysis time, and 65 mg/L of RB5. The optimised mineralisation efficiencies ranged between 89% and 92% for different models based on total organic carbon (TOC). Experimental studies confirmed that the predictive efficiency of optimised models ranked in the descending order of hybrid ANN–XGBoost, CCD–NPRSM, and CART. Model validation using analysis of variance (ANOVA) revealed that hybrid ANN–XGBoost had a mean squared error (MSE) and a coefficient of determination (R2) of approximately 0.014 and 0.998, respectively, for the RB5 removal efficiency, outperforming CCD–NPRSM with MSE and R2 of 0.518 and 0.998, respectively. Overall, the hybrid ANN–XGBoost approach is the most feasible technique for assessing the electrochemical treatment efficiency in RB5 dye wastewater decolourisation.
{"title":"Superior decomposition of xenobiotic RB5 dye using three-dimensional electrochemical treatment: Response surface methodology modelling, artificial intelligence, and machine learning-based optimisation approaches","authors":"Voravich Ganthavee, Antoine P. Trzcinski","doi":"10.1016/j.wse.2024.05.003","DOIUrl":"10.1016/j.wse.2024.05.003","url":null,"abstract":"<div><div>The highly efficient electrochemical treatment technology for dye-polluted wastewater is one of hot research topics in industrial wastewater treatment. This study reported a three-dimensional electrochemical treatment process integrating graphite intercalation compound (GIC) adsorption, direct anodic oxidation, and ·OH oxidation for decolourising Reactive Black 5 (RB5) from aqueous solutions. The electrochemical process was optimised using the novel progressive central composite design–response surface methodology (CCD–NPRSM), hybrid artificial neural network–extreme gradient boosting (hybrid ANN–XGBoost), and classification and regression trees (CART). CCD–NPRSM and hybrid ANN–XGBoost were employed to minimise errors in evaluating the electrochemical process involving three manipulated operational parameters: current density, electrolysis (treatment) time, and initial dye concentration. The optimised decolourisation efficiencies were 99.30%, 96.63%, and 99.14% for CCD–NPRSM, hybrid ANN–XGBoost, and CART, respectively, compared to the 98.46% RB5 removal rate observed experimentally under optimum conditions: approximately 20 mA/cm<sup>2</sup> of current density, 20 min of electrolysis time, and 65 mg/L of RB5. The optimised mineralisation efficiencies ranged between 89% and 92% for different models based on total organic carbon (TOC). Experimental studies confirmed that the predictive efficiency of optimised models ranked in the descending order of hybrid ANN–XGBoost, CCD–NPRSM, and CART. Model validation using analysis of variance (ANOVA) revealed that hybrid ANN–XGBoost had a mean squared error (MSE) and a coefficient of determination (<em>R</em><sup>2</sup>) of approximately 0.014 and 0.998, respectively, for the RB5 removal efficiency, outperforming CCD–NPRSM with MSE and <em>R</em><sup>2</sup> of 0.518 and 0.998, respectively. Overall, the hybrid ANN–XGBoost approach is the most feasible technique for assessing the electrochemical treatment efficiency in RB5 dye wastewater decolourisation.</div></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"18 1","pages":"Pages 1-10"},"PeriodicalIF":3.7,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141136406","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}
Pub Date : 2024-05-17DOI: 10.1016/j.wse.2024.05.002
Chen-xue Jiang , Ying Li , Chi Yao , Jing Li , Ke Jing , Sui-sui Zhang , Cheng Liu , Lian-fang Zhao
Cresyl diphenyl phosphate (CDP), an emerging aryl organophosphate ester (OPE), exhibits potential toxic effects and is frequently found in diverse environmental media, thereby raising concerns about environmental pollution. Biodegradation demonstrates substantial potential for CDP removal from the environment. This study investigated the biodegradation mechanisms of CDP using anaerobic activated sludge (AnAS). The biodegradation of 1-mg/L CDP followed a first-order kinetic model with a degradation kinetic constant of 0.943 d−1, and the addition of different electron acceptors affected the degradation rate. High-resolution mass spectrometry identified seven transformation products (TPs) of CDP. The pathways of CDP degradation in anaerobic conditions were proposed, with carboxylation products being the most dominant intermediate products. The structure of the anaerobic microbial community at different degradation time points in CDP-amended microcosms was examined. The linear discriminant analysis (LDA) of effect size (LEfSe) potentially underscored the pivotal role of Methyloversatilis in CDP biodegradation. Zebrafish embryotoxicity experiments revealed both lethal and morphogenetic impacts of CDP on zebrafish embryos. The survival rate, hatching rate, and body length indicators of zebrafish embryos underscored the detoxification of CDP and its resultant intermediates by AnAS. This study offers new insights into the fate and biodegradation mechanisms of CDP in wastewater treatment plants.
{"title":"Biodegradation of cresyl diphenyl phosphate in anaerobic activated sludge: Degradation characteristics, microbial community succession, and toxicity assessment","authors":"Chen-xue Jiang , Ying Li , Chi Yao , Jing Li , Ke Jing , Sui-sui Zhang , Cheng Liu , Lian-fang Zhao","doi":"10.1016/j.wse.2024.05.002","DOIUrl":"10.1016/j.wse.2024.05.002","url":null,"abstract":"<div><div>Cresyl diphenyl phosphate (CDP), an emerging aryl organophosphate ester (OPE), exhibits potential toxic effects and is frequently found in diverse environmental media, thereby raising concerns about environmental pollution. Biodegradation demonstrates substantial potential for CDP removal from the environment. This study investigated the biodegradation mechanisms of CDP using anaerobic activated sludge (AnAS). The biodegradation of 1-mg/L CDP followed a first-order kinetic model with a degradation kinetic constant of 0.943 d<sup>−1</sup>, and the addition of different electron acceptors affected the degradation rate. High-resolution mass spectrometry identified seven transformation products (TPs) of CDP. The pathways of CDP degradation in anaerobic conditions were proposed, with carboxylation products being the most dominant intermediate products. The structure of the anaerobic microbial community at different degradation time points in CDP-amended microcosms was examined. The linear discriminant analysis (LDA) of effect size (LEfSe) potentially underscored the pivotal role of <em>Methyloversatilis</em> in CDP biodegradation. Zebrafish embryotoxicity experiments revealed both lethal and morphogenetic impacts of CDP on zebrafish embryos. The survival rate, hatching rate, and body length indicators of zebrafish embryos underscored the detoxification of CDP and its resultant intermediates by AnAS. This study offers new insights into the fate and biodegradation mechanisms of CDP in wastewater treatment plants.</div></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"18 1","pages":"Pages 41-50"},"PeriodicalIF":3.7,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141047949","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}
Pub Date : 2024-05-13DOI: 10.1016/j.wse.2024.05.001
Nathalia Silva-Cancino , Fernando Salazar , Ernest Bladé , Marcos Sanz-Ramos
The classification of dams or off-stream reservoirs concerning potential hazards in the event of failure often involves the use of two-dimensional hydraulic models for computing floodwave effects. These models necessitate defining breach geometry and formation time, for which various parametric models have been proposed. These models yield different values for average breach width, time of failure, and consequently, peak flows, as demonstrated by several researchers. This study analyzed the effect of selecting a breach parametric model on the hydraulic variables, potential damages, and hazard classification of structures. Three common parametric models were compared using a set of synthetic cases and a real off-stream reservoir. Results indicated significant effects of model choice. Material erodibility exerted a significant impact, surpassing that of failure mode. Other factors, such as the Manning coefficient, significantly affected the results. Utilizing an inadequate model or lacking information on dike material can lead to overly conservative or underestimated outcomes, thereby affecting hazard classification.
{"title":"Influence of breach parameter models on hazard classification of off-stream reservoirs","authors":"Nathalia Silva-Cancino , Fernando Salazar , Ernest Bladé , Marcos Sanz-Ramos","doi":"10.1016/j.wse.2024.05.001","DOIUrl":"10.1016/j.wse.2024.05.001","url":null,"abstract":"<div><div>The classification of dams or off-stream reservoirs concerning potential hazards in the event of failure often involves the use of two-dimensional hydraulic models for computing floodwave effects. These models necessitate defining breach geometry and formation time, for which various parametric models have been proposed. These models yield different values for average breach width, time of failure, and consequently, peak flows, as demonstrated by several researchers. This study analyzed the effect of selecting a breach parametric model on the hydraulic variables, potential damages, and hazard classification of structures. Three common parametric models were compared using a set of synthetic cases and a real off-stream reservoir. Results indicated significant effects of model choice. Material erodibility exerted a significant impact, surpassing that of failure mode. Other factors, such as the Manning coefficient, significantly affected the results. Utilizing an inadequate model or lacking information on dike material can lead to overly conservative or underestimated outcomes, thereby affecting hazard classification.</div></div>","PeriodicalId":23628,"journal":{"name":"Water science and engineering","volume":"18 1","pages":"Pages 102-114"},"PeriodicalIF":3.7,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141047156","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}
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