Water Science and Technology最新文献

Sewage sludge management and enhanced energy recovery using anaerobic digestion: an insight. 利用厌氧消化进行污水污泥管理和强化能源回收：一种见解。

IF 2.5 4区环境科学与生态学

Water Science and Technology Pub Date : 2024-08-01 Epub Date: 2024-08-05 DOI: 10.2166/wst.2024.269

Vinay Pratap, Sunil Kumar, Bholu Ram Yadav

引用次数: 0

Wetland systems for water pollution control. 用于水污染控制的湿地系统。

IF 2.5 4区环境科学与生态学

Water Science and Technology Pub Date : 2024-08-01 DOI: 10.2166/wst.2024.245

Jaime Nivala, Pedro N Carvalho, Remy Gourdon, Mathieu Gautier, Pascal Molle, Florent Chazarenc

引用次数: 0

Optimized wastewater management utilizing multivariate statistical analysis: a case study of the Mascara wastewater treatment plant, Algeria. 利用多元统计分析优化废水管理：阿尔及利亚 Mascara 废水处理厂案例研究。

IF 2.5 4区环境科学与生态学

Water Science and Technology Pub Date : 2024-08-01 Epub Date: 2024-08-12 DOI: 10.2166/wst.2024.276

Imène Benstaali, Amel Talia, Laouni Benadela

{"title":"Optimized wastewater management utilizing multivariate statistical analysis: a case study of the Mascara wastewater treatment plant, Algeria.","authors":"Imène Benstaali, Amel Talia, Laouni Benadela","doi":"10.2166/wst.2024.276","DOIUrl":"https://doi.org/10.2166/wst.2024.276","url":null,"abstract":"Effective wastewater management is crucial in regions experiencing water scarcity and environmental stressors, such as pollution and climate change. Optimizing treatment processes is essential for achieving environmental sustainability. This study aims to highlight the importance of effective wastewater management strategies, particularly in regions facing water scarcity. Our objective was to identify key factors influencing the treatment process. Therefore, we evaluated associations between physicochemical parameters using multivariate statistical methods, including Principal Component Analysis (PCA) and Hierarchical Ascendant Classification (HAC). Our findings categorize the monthly water samples into three distinct groups based on levels of organic pollution: the first group (July, August, and September) is characterized by high oxygenation levels and significantly low organic pollution, indicating optimal system operation. The second group (April, October, November, and December) exhibits low oxygenation and low organic pollution, promoting sludge settling and pollutant reduction. The third group (January, February, March, May, and June) shows significantly high organic pollution and low oxygenation, which corresponds to unfavorable environmental conditions. Our study demonstrates the effectiveness of multivariate statistical methods in optimizing wastewater treatment processes, providing crucial insights for environmental sustainability and water resource management.","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142112609","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}

引用次数: 0

Fuzzy logic-based prediction and parametric optimizing using particle swarm optimization for performance improvement in pyramid solar still. 基于模糊逻辑的预测和利用粒子群优化技术进行参数优化，以提高金字塔型太阳能蒸发器的性能。

IF 2.5 4区环境科学与生态学

Water Science and Technology Pub Date : 2024-08-01 Epub Date: 2024-08-12 DOI: 10.2166/wst.2024.277

N Senthilkumar, M Yuvaperiyasamy, B Deepanraj, K Sabari

{"title":"Fuzzy logic-based prediction and parametric optimizing using particle swarm optimization for performance improvement in pyramid solar still.","authors":"N Senthilkumar, M Yuvaperiyasamy, B Deepanraj, K Sabari","doi":"10.2166/wst.2024.277","DOIUrl":"https://doi.org/10.2166/wst.2024.277","url":null,"abstract":"The primary objective of this study is to develop a robust model that employs a fuzzy logic interface (FL) and particle swarm optimization (PSO) to forecast the optimal parameters of a pyramid solar still (PSS). The model considers a range of environmental variables and varying levels of silver nanoparticles (Ag) mixed with paraffin wax, serving as a phase change material (PCM). The study focuses on three key factors: solar intensity ranging from 350 to 950 W/m2, water depth varying between 4 and 8 cm, and silver (Ag) nanoparticle concentration ranging from 0.5 to 1.5% and corresponding output responses are productivity (P), glass temperature (Tg), and basin water temperature (Tw). The experimental design is based on Taguchi's L9 orthogonal array. A technique for ordering preference by similarity to the ideal solution (TOPSIS) is utilized to optimize the process parameters of PSS. Incorporating a fuzzy inference system (FIS) aims to minimize the uncertainty within the system, and the particle swarm optimization algorithm is employed to fine-tune the optimal settings. These methodologies are employed to forecast the optimal conditions required to enhance the productivity of the PSS.","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142112605","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}

引用次数: 0

Novel optimized coupled rainfall model simulation based on stepwise decomposition technique. 基于逐步分解技术的新型优化耦合降雨模型模拟。

IF 2.5 4区环境科学与生态学

Water Science and Technology Pub Date : 2024-08-01 Epub Date: 2024-07-31 DOI: 10.2166/wst.2024.263

Zhiwen Zheng, Yuan Yao, Xianqi Zhang, Yue Zhao, Yu Qi

{"title":"Novel optimized coupled rainfall model simulation based on stepwise decomposition technique.","authors":"Zhiwen Zheng, Yuan Yao, Xianqi Zhang, Yue Zhao, Yu Qi","doi":"10.2166/wst.2024.263","DOIUrl":"https://doi.org/10.2166/wst.2024.263","url":null,"abstract":"Precipitation forecasting plays a pivotal role in guiding the effective management of regional water resources and providing crucial warnings for regional droughts and floods. Finding a monthly precipitation simulation model with robust fitting performance is a significant research endeavor in practical precipitation prediction. This paper introduces two modified African vulture optimization algorithms (MAVOA1 and MAVOA2). It provides hyperparameter optimization techniques for the least squares support vector machine (LSSVM), long short-term memory neural network (LSTM), and random forest (RF) models. These techniques are used to construct a monthly precipitation simulation model based on algorithmic optimization coupled with variational mode decomposition for full decomposition. The test results at five typical stations in the North China Plain reveal the following: (1) the LSSVM model demonstrates significantly better performance than the LSTM and RF models. (2) the MAVOA2-LSSVM model has the best-integrated effect: the average test fitting error is RMSE = 17.50 mm/month, MRE = 117.25%, NSE = 0.90, which shows its superiority in practical application and can significantly improve the accuracy of precipitation prediction; MAVOA2 is more suitable for machine learning models with more hyperparameters of its own, which provides a reference for hyperparameter optimization algorithms in the other fields.","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142112607","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}

引用次数: 0

The electrocatalytic degradation of 1,4-dioxane by Co-Bi/GAC particle electrode. Co-Bi/GAC 粒子电极对 1,4-dioxane 的电催化降解。

IF 2.5 4区环境科学与生态学

Water Science and Technology Pub Date : 2024-08-01 Epub Date: 2024-08-12 DOI: 10.2166/wst.2024.274

Rui Wang, Zhineng Dai, Wenqi Zhang, Chao Ma

{"title":"The electrocatalytic degradation of 1,4-dioxane by Co-Bi/GAC particle electrode.","authors":"Rui Wang, Zhineng Dai, Wenqi Zhang, Chao Ma","doi":"10.2166/wst.2024.274","DOIUrl":"https://doi.org/10.2166/wst.2024.274","url":null,"abstract":"Efficient degradation of industrial organic wastewater has become a significant environmental concern. Electrochemical oxidation technology is promising due to its high catalytic degradation ability. In this study, Co-Bi/GAC particle electrodes were prepared and characterized for degradation of 1,4-dioxane. The electrochemical process parameters were optimized by response surface methodology (RSM), and the influence of water quality factors on the removal rate of 1,4-dioxane was investigated. The results showed that the main influencing factors were the Co/Bi mass ratio and calcination temperature. The carrier metals, Co and Bi, existed mainly on the GAC surface as Co3O4 and Bi2O3. The removal of 1,4-dioxane was predominantly achieved through the synergistic reaction of electrode adsorption, anodic oxidation, and particle electrode oxidation, with ·OH playing a significant role as the main active free radical. Furthermore, the particle electrode was demonstrated in different acid-base conditions (pH = 3, 5, 7, 9, and 11). However, high concentrations of Cl- and NO3- hindered the degradation process, potentially participating in competitive reactions. Despite this, the particle electrode exhibited good stability after five cycles. The results provide a new perspective for constructing efficient and stable three-dimensional (3D) electrocatalytic particle electrodes to remove complex industrial wastewater.","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142112612","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}

引用次数: 0

Understanding water dynamics in Dal Lake: a comprehensive analysis of physiological parameters and seasonal variations. 了解达尔湖水动态：生理参数和季节变化的综合分析。

IF 2.5 4区环境科学与生态学

Water Science and Technology Pub Date : 2024-08-01 Epub Date: 2024-08-02 DOI: 10.2166/wst.2024.258

Seerat Sultan, Shruti Singh, Rajesh Kumar, Showkat A Malik, Javaid Hassan Sheikh, Amrit Sudershan

{"title":"Understanding water dynamics in Dal Lake: a comprehensive analysis of physiological parameters and seasonal variations.","authors":"Seerat Sultan, Shruti Singh, Rajesh Kumar, Showkat A Malik, Javaid Hassan Sheikh, Amrit Sudershan","doi":"10.2166/wst.2024.258","DOIUrl":"https://doi.org/10.2166/wst.2024.258","url":null,"abstract":"Maintaining the standard of water quality in an aquatic habitat necessitates continual assessment of its physicochemical properties. The purpose of this study was to evaluate physicochemical properties and to discuss the causes of spatiotemporal variability in key physicochemical parameters at five different locations of Dal Lake. Water samples were collected in four seasons for 3 years (i.e., January 2019-December 2021) to evaluate various physicochemical properties using standard methods. The analysis shows that the macrophytic development has increased due to organic and inorganic load, leading to the Lake's deterioration. The analysis indicates positive and negative correlations among various parameters across five sampling sites. Principal component analysis shows that two components (PC1 and PC2) explain 47.35, 47.54, and 48.11% of the variability in the years 2019, 2020, and 2021, respectively. From 2019 to 2021, the continuous decrease in dissolved oxygen and increased levels of magnesium, conductivity, alkalinity, total hardness, calcium hardness, total phosphorus, and nitrate-nitrogen suggest a trend toward eutrophication in the lake.","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142112613","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}

引用次数: 0

Full-scale study on high-rate low-temperature anaerobic digestion of agro-food wastewater: process performances and microbial community. 农业食品废水高速低温厌氧消化全规模研究：工艺性能和微生物群落。

IF 2.5 4区环境科学与生态学

Water Science and Technology Pub Date : 2024-08-01 Epub Date: 2024-08-06 DOI: 10.2166/wst.2024.272

Lara M Paulo, Yu-Chen Liu, Juan Castilla-Archilla, Javier Ramiro-Garcia, Dermot Hughes, Thérèse Mahony, B Conall Holohan, Paul Wilmes, Vincent O'Flaherty

{"title":"Full-scale study on high-rate low-temperature anaerobic digestion of agro-food wastewater: process performances and microbial community.","authors":"Lara M Paulo, Yu-Chen Liu, Juan Castilla-Archilla, Javier Ramiro-Garcia, Dermot Hughes, Thérèse Mahony, B Conall Holohan, Paul Wilmes, Vincent O'Flaherty","doi":"10.2166/wst.2024.272","DOIUrl":"https://doi.org/10.2166/wst.2024.272","url":null,"abstract":"The fast-growing global population has led to a substantial increase in food production, which generates large volumes of wastewater during the process. Despite most industrial wastewater being discharged at lower ambient temperatures (<20 °C), majority of the high-rate anaerobic reactors are operated at mesophilic temperatures (>30 °C). High-rate low-temperature anaerobic digestion (LtAD) has proven successful in treating industrial wastewater both at laboratory and pilot scales, boasting efficient organic removal and biogas production. In this study, we demonstrated the feasibility of two full-scale high-rate LtAD bioreactors treating meat processing and dairy wastewater, and the microbial communities in both reactors were examined. Both reactors exhibited rapid start-up, achieving considerable chemical oxygen demand (COD) removal efficiencies (total COD removal >80%) and generating high-quality biogas (CH4% in biogas >75%). Long-term operations (6-12 months) underscored the robustness of LtAD bioreactors even during winter periods (average temperature <12 °C), as evidenced by sustained high COD removal rates (total COD removal >80%). The stable performance was underpinned by a resilient microbial community comprising active acetoclastic methanogens, hydrolytic, and fermentative bacteria. These findings underscore the feasibility of high-rate low-temperature anaerobic wastewater treatment, offering promising solutions to the zero-emission wastewater treatment challenge.","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142112604","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}

引用次数: 0

Wastewater treatment process using immobilized microalgae. 使用固定微藻的废水处理工艺。

IF 2.5 4区环境科学与生态学

Water Science and Technology Pub Date : 2024-08-01 Epub Date: 2024-08-14 DOI: 10.2166/wst.2024.283

Ihana Aguiar Severo, Otto Gustavo de Avila Azevedo, Paulo Alexandre Silveira da Silva, Beatriz Jacob-Furlan, André Bellin Mariano, Juan C Ordonez, José Viriato Coelho Vargas

{"title":"Wastewater treatment process using immobilized microalgae.","authors":"Ihana Aguiar Severo, Otto Gustavo de Avila Azevedo, Paulo Alexandre Silveira da Silva, Beatriz Jacob-Furlan, André Bellin Mariano, Juan C Ordonez, José Viriato Coelho Vargas","doi":"10.2166/wst.2024.283","DOIUrl":"https://doi.org/10.2166/wst.2024.283","url":null,"abstract":"Microalgae biomass products are gaining popularity due to their diverse applications in various sectors. However, the costs associated with media ingredients and cell harvesting pose challenges to the scale-up of microalgae cultivation. This study evaluated the growth and nutrient removal efficiency (RE) of immobilized microalgae Tetradesmus obliquus in sodium alginate beads cultivated in swine manure-based wastewater compared to free cells. The main findings of this research include (i) immobilized cells outperformed free cells, showing approximately 2.3 times higher biomass production, especially at 10% effluent concentration; (ii) enhanced organic carbon removal was observed, with a significant 62% reduction in chemical oxygen demand (383.46-144.84 mg L-1) within 48 h for immobilized cells compared to 6% in free culture; (iii) both immobilized and free cells exhibited efficient removal of total nitrogen and total phosphorus, with high REs exceeding 99% for phosphorus. In addition, microscopic analysis confirmed successful cell dispersion within the alginate beads, ensuring efficient light and substrate transfer. Overall, the results highlight the potential of immobilization techniques and alternative media, such as biodigested swine manure, to enhance microalgal growth and nutrient RE, offering promising prospects for sustainable wastewater treatment processes.","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142112615","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}

引用次数: 0

Numerical simulation of pressure loss and flow characteristics in combined elbow pipes for solid-liquid two-phase flow. 固液两相流组合弯管中压力损失和流动特性的数值模拟。

IF 2.5 4区环境科学与生态学

Water Science and Technology Pub Date : 2024-08-01 DOI: 10.2166/wst.2024.262

Xi Shi, Yuanyuan Chai, Hui Chen, Hu Tao, Qianwen Jin

{"title":"Numerical simulation of pressure loss and flow characteristics in combined elbow pipes for solid-liquid two-phase flow.","authors":"Xi Shi, Yuanyuan Chai, Hui Chen, Hu Tao, Qianwen Jin","doi":"10.2166/wst.2024.262","DOIUrl":"https://doi.org/10.2166/wst.2024.262","url":null,"abstract":"The transport of solid-liquid two-phase flow is widely used in water conservancy, environmental protection, and municipal engineering. Accurate pressure loss calculation is crucial for hydraulic transport pipelines, particularly in the case of bends, valves, and other deformation parts. These factors directly impact the energy consumption and the investment of the system. This paper employed the Euler-Euler multiphase flow model to investigate the characteristics of solid-liquid two-phase flow in vertically positioned combined elbows. The model was initially validated using data from the literature. Subsequently, based on the validated model, an investigation was conducted to determine the relationship between pressure loss and various factors, including flow velocity, combined angle, particle concentration, and particle size. Finally, the changes in velocity distribution, particle concentration, and turbulent kinetic energy were analyzed. The results indicate that the pressure loss increases with the flow velocity, tends to decrease with the combined angle, and increases with the particle concentration. The relationship between pressure loss and particle size is more complex. The velocity distribution, particle concentration, and turbulent kinetic energy exhibit the variations caused by different factors.","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142112608","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}

引用次数: 0