IF 4.5 4区环境科学与生态学

Water Reuse Pub Date : 2023-09-01 DOI: 10.2166/wrd.2023.092

Nawaf Bin Darwish, Abdulrahman Alalawi, Hamad AlRomaih, Nasser Alotaibi, Musaad AlEid

{"title":"Synthesis and performance of ultrafiltration membranes incorporated with different oxide nanomaterials: experiments and modeling","authors":"Nawaf Bin Darwish, Abdulrahman Alalawi, Hamad AlRomaih, Nasser Alotaibi, Musaad AlEid","doi":"10.2166/wrd.2023.092","DOIUrl":"https://doi.org/10.2166/wrd.2023.092","url":null,"abstract":"\u0000 In membrane filtration technology, membrane fouling is the primary obstacle to optimizing efficiency and results in a short membrane lifetime and high operating costs. By incorporating nanomaterials into the membrane synthesis process, a mixed-matrix membrane with significantly enhanced characteristics and performance may be obtained. Graphene oxide (GO), aluminum oxide (Al2O3), tin oxide (SnO2), and titanium oxide (TiO2) were incorporated into a polyethersulfone (PESU) membrane. The water permeability of the modified membranes showed improvements when compared with the pure membrane. It increased from 65 L/m2 h bar for the pristine membrane (PES-1) to 143.6, 83.68, 92.12, 75.43 L/m2 h bar for Al2O3 (PES-2), TiO2 (PES-3), SnO2 (PES-4), and GO (PES-5) membranes, respectively. It was discovered that the membrane's surface hydrophilicity was significantly and directly affected by the incorporation of nanoparticles. Fouling parameters include Rr (Reversible fouling ratio), Rir (irreversible fouling ratio), Rt (total fouling ratio), and Frr (flux recovery ratio) and were measured to determine the membrane's fouling tendency. The results showed that the membrane's propensity for fouling could be reduced when nanoparticles were incorporated into it. The experimental results are best explained by the cake layer and both standard and intermediate blocking mechanism models, as determined by the traditional single fouling models.","PeriodicalId":34727,"journal":{"name":"Water Reuse","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48700780","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

Experimental evaluation on the effect of biochar addition with anaerobic digestion of the tannery wastewater to improve biogas production 厌氧消化加生物炭对制革废水产气效果的实验评价

IF 4.5 4区环境科学与生态学

Water Reuse Pub Date : 2023-08-25 DOI: 10.2166/wrd.2023.061

Solomon Asefa, V. Ancha, N. Habtu, L. Sundar

{"title":"Experimental evaluation on the effect of biochar addition with anaerobic digestion of the tannery wastewater to improve biogas production","authors":"Solomon Asefa, V. Ancha, N. Habtu, L. Sundar","doi":"10.2166/wrd.2023.061","DOIUrl":"https://doi.org/10.2166/wrd.2023.061","url":null,"abstract":"\u0000 \u0000 The use of biochar as an additive material in various compositions to the anaerobic digestion of the tannery wastewater was investigated. Pyrolytic biochar made from Khat waste with different compositions was added to anaerobic batch digesters in laboratory-scale biogas experiments. Biogas digesters with volume of 500 ml were used to explore the effects of biochar on anaerobic digestion in the ratios of 5, 10, 15, and 20% (w/w) at constant mesophilic temperature (38 °C). The results show that for five experimental tests in digesters (D0, D1, D2, D3, and D4), which contains 0, 5, 10, 15, and 20% of biochar, the cumulative methane and volume of biogas yields were, respectively, 17.04, 41.2, 43.8, 51.6, 48.6% and 150, 520, 680, 760, 690 . Comparing the cumulative methane production efficiency of the digester containing zero biochar (D0) with the addition of 5, 10, 15, and 20% biochar had more favorable effects and increased by 58.6, 61.1, 66.98, and 64.94%, respectively. From these results, adding 15% of biochar to anaerobic digestion causes a three-fold increase in methane compared to the control and more positive effects than all other biochar e compositions. According to this result, the right dose of biochar must be added to maximize biogas production.","PeriodicalId":34727,"journal":{"name":"Water Reuse","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47977259","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

Biosorptive removal of selected metal ions from simulated wastewater using highly metal-resistant bacteria 利用高抗金属细菌从模拟废水中吸附去除选定的金属离子

IF 4.5 4区环境科学与生态学

Water Reuse Pub Date : 2023-08-25 DOI: 10.2166/wrd.2023.059

Ali Hussain, Ali Hasan, S. Sherzada, T. Noor, Shehzad Ahmad, M. Kaoma, E. Elsehly

{"title":"Biosorptive removal of selected metal ions from simulated wastewater using highly metal-resistant bacteria","authors":"Ali Hussain, Ali Hasan, S. Sherzada, T. Noor, Shehzad Ahmad, M. Kaoma, E. Elsehly","doi":"10.2166/wrd.2023.059","DOIUrl":"https://doi.org/10.2166/wrd.2023.059","url":null,"abstract":"\u0000 \u0000 In the current scenario of the need for cost-effective remediation, our study aimed to assess the remedial potential of bacteria obtained from metal-rich wastewater. To simulate the conditions, we prepared wastewater containing five toxic metals (Cu, Cr, Ni, Fe, and Pb). Two types of metal-resistant bacteria were isolated from a prominent wastewater drain in Lahore, Pakistan. These isolated bacteria were thoroughly characterized—both phenotypically and genotypically. Subsequently, the isolated bacteria were exposed to the wastewater solution containing each of the aforementioned metals at a concentration of 250 ppm. The exposed isolates were then incubated for a duration of 15 days. After 5 days, we measured the uptake of metals by the bacterial isolates. Following the 15-day incubation period, we observed that the bacterial isolates demonstrated the maximum efficiency in removing metals, with approximately 47.5% of Fe, 77% of Ni, 75.75% of Cu, 64% of Cr, and 82.5% of Pb being removed. These findings have significant implications for the development of environmentally friendly and cost-effective strategies for metal ion remediation.","PeriodicalId":34727,"journal":{"name":"Water Reuse","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47510969","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

Assessment of carbon neutrality in waste water treatment systems through deep learning algorithm 基于深度学习算法的污水处理系统碳中和评价

IF 4.5 4区环境科学与生态学

Water Reuse Pub Date : 2023-08-25 DOI: 10.2166/wrd.2023.154

L. Sundar, H. Almujibah, A. Alshahri, V. Ancha

{"title":"Assessment of carbon neutrality in waste water treatment systems through deep learning algorithm","authors":"L. Sundar, H. Almujibah, A. Alshahri, V. Ancha","doi":"10.2166/wrd.2023.154","DOIUrl":"https://doi.org/10.2166/wrd.2023.154","url":null,"abstract":"\u0000 \u0000 Around the world, it is growing more and harder to provide clean water and safe drinking water. In wastewater treatment, sensors are employed, and the Internet of Things is used to transmit data (IoT). Chemical oxygen demand (COD), biochemical demand (BOD), total nitrogen (T-N), total suspended solids (TSS), and phosphorous (T-P) components all contribute to eutrophication, which must be avoided. The wastewater sector has lately made efforts to become carbon neutral; however, the environmental impact and the road to carbon neutrality have received very little attention. The challenges are caused by poor prediction. This research proposes deep learning modified neural networks (DLMNN) with Binary Spotted Hyena Optimizer (BSHO) for modeling and calculations to address this challenge. All efforts for resource recovery, water reuse, and energy recovery partially attain this objective. In contrast to previous modeling techniques, the DLMNN-training BSHOs and validation demonstrated outstanding accuracy shown by the model's high coefficient (R2) for both training and testing. Also covered are recent developments and problems with nanomaterials made from sustainable carbon and graphene quantum dots, as well as their uses in the treatment and purification of wastewater. The proposed model DLMNN-BSHO achieved 95.936% precision, 95.326% recall, 93.747% F-score, and 99.637% accuracy.","PeriodicalId":34727,"journal":{"name":"Water Reuse","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44778714","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

Simulating two Algerian cities' desalination plants coupled with solar energy systems using TRNSYS 使用TRNSYS模拟阿尔及利亚两个城市的海水淡化厂与太阳能系统的耦合

IF 4.5 4区环境科学与生态学

Water Reuse Pub Date : 2023-08-22 DOI: 10.2166/wrd.2023.141

Sara Irki, Edet Albright, N. Merzouk, S. Hanini, Sami Barkaoui, M. Benaissa, D. Ghernaout, N. Elboughdiri

{"title":"Simulating two Algerian cities' desalination plants coupled with solar energy systems using TRNSYS","authors":"Sara Irki, Edet Albright, N. Merzouk, S. Hanini, Sami Barkaoui, M. Benaissa, D. Ghernaout, N. Elboughdiri","doi":"10.2166/wrd.2023.141","DOIUrl":"https://doi.org/10.2166/wrd.2023.141","url":null,"abstract":"\u0000 \u0000 The Bouzaréah in northern Algeria's province and Ghardaïa in southern Algeria's province are particularly vulnerable to drought and water scarcity, even if apparent differences in climatic conditions mark each region. Though it may seem counterintuitive, Ghardaïa has considerable water resources that could be tapped for agriculture. Our study aimed to design a prototype of a desalination unit coupled with a solar collector for these two provinces using the TRNSYS 16. The desalination unit is composed of vacuum membrane distillation (VMD) coupled with a solar collector, and the photovoltaic has been designed according to the climatic conditions of each region. In this work, the approach adopted is to integrate a model developed in the literature into a simulation environment (TRNSYS) coupled with the CODE-BLOCKS compiler and FORTRAN programming language to create a new component (i.e., VMD process). The permeation flux and the power to load reached their maximum values with the charge of solar irradiation 48 kg/h m2 and 6,300 kJ/h, respectively, for Ghardaïa at the sun irradiation value 800 W/m2 and temperature of 34 °C. Results showed that Ghardaïa had a higher GOR value than Bouzaréah over the year (10.947 vs. 8.3389).","PeriodicalId":34727,"journal":{"name":"Water Reuse","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47626319","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

Bi-LSTM and partial mutual information selection-based forecasting groundwater salinization levels 基于Bi-LSTM和部分互信息选择的地下水盐渍化水平预测

IF 4.5 4区环境科学与生态学

Water Reuse Pub Date : 2023-08-14 DOI: 10.2166/wrd.2023.050

A. Muniappan, T. Jarin, R. Sabitha, Ayman A. Ghfar, I. M. A. Fattah, C. Bowa, M. Mwanza

{"title":"Bi-LSTM and partial mutual information selection-based forecasting groundwater salinization levels","authors":"A. Muniappan, T. Jarin, R. Sabitha, Ayman A. Ghfar, I. M. A. Fattah, C. Bowa, M. Mwanza","doi":"10.2166/wrd.2023.050","DOIUrl":"https://doi.org/10.2166/wrd.2023.050","url":null,"abstract":"\u0000 \u0000 Fresh-saline groundwater is currently distributed in a highly heterogeneous way throughout the world. Groundwater salinization is a serious environmental issue that harms ecosystems and public health in coastal regions worldwide. Because of the complexities of groundwater salinization processes and the variables that influence them, it is still challenging to predict groundwater salinity concentrations precisely. This study compares cutting-edge machine learning (ML) algorithms for predicting groundwater salinity and identifying contributing factors. This study employs bi-directional long short-term memory (BiLSTM) to indicate the salinity of groundwater. The input variable selection problem has recently attracted attention in the time series modeling community because it has been shown that information-theoretic input variable selection algorithms provide a more accurate representation of the modeled process than linear alternatives. To generate a variety of sample combinations for training multiple BiLSTM models, the PMIS-selected predictors are used, and the predicted values from various BiLSTM models are also used to calculate the degree of prediction uncertainty for groundwater levels. The findings give policymakers insights for recommending groundwater salinity remediation and management strategies in the context of excessive groundwater exploitation in coastal lowland regions. To ensure sustainable groundwater management in coastal areas, it is essential to recognize the significant impact of human-caused factors on groundwater salinization.","PeriodicalId":34727,"journal":{"name":"Water Reuse","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46320664","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

Smart IoT-based water treatment with a Supervisory Control and Data Acquisition (SCADA) system process 基于智能物联网的水处理与监控和数据采集(SCADA)系统过程

IF 4.5 4区环境科学与生态学

Water Reuse Pub Date : 2023-08-14 DOI: 10.2166/wrd.2023.052

Dwarakanath B., Kalpana Devi P., Ranjith Kumar, A. S. M. Metwally, G. A. Ashraf, Bheema Lingaiah Thamineni

{"title":"Smart IoT-based water treatment with a Supervisory Control and Data Acquisition (SCADA) system process","authors":"Dwarakanath B., Kalpana Devi P., Ranjith Kumar, A. S. M. Metwally, G. A. Ashraf, Bheema Lingaiah Thamineni","doi":"10.2166/wrd.2023.052","DOIUrl":"https://doi.org/10.2166/wrd.2023.052","url":null,"abstract":"\u0000 Water treatment is necessary to ensure the availability of clean and safe water for various uses. Integrating Internet of Things (IoT) technology with water purification systems has shown enormous potential in recent years for enhancing the efficiency and efficacy of the treatment process. Monitoring the disposal of sewage in treatment facilities is the primary obstacle. As a result, a Supervisory Control And Data Acquisition (SCADA) system, including the IoT, has been proposed to ensure the proper operation of these sewer systems and limit the risk of overflow and malfunction. In this paper, we suggest a novel approach that blends Deep Belief Networks (DBNs) with an IoT-based water treatment system equipped with a SCADA system for increased monitoring and control. An IoT–SCADA system can be implemented at various wastewater collection and treatment phases. Secondly, incorporating DBNs enhances the system's predictive capabilities, enabling proactive maintenance and decision-making to prevent potential failures and optimize resource allocation. The proposed technique computes the efficacy of the effluent treatment facility and ensures that chemical emissions do not exceed permissible limits. Furthermore, Complex Event Processing (CEP) can be utilized to evaluate and analyze the massive influx of real-time data sets provided by IoT sensors.","PeriodicalId":34727,"journal":{"name":"Water Reuse","volume":"1 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41543819","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

Advancements in saline water treatment: a review 盐水处理技术进展综述

IF 4.5 4区环境科学与生态学

Water Reuse Pub Date : 2023-08-12 DOI: 10.2166/wrd.2023.065

V. Somashekar, A. Anand, V. Hariprasad, E. Elsehly, M. Kapulu

引用次数: 0

Gradient-Boosted Decision Tree with used Slime Mould Algorithm (SMA) for wastewater treatment systems 基于黏菌算法的梯度增强决策树在污水处理系统中的应用

IF 4.5 4区环境科学与生态学

Water Reuse Pub Date : 2023-07-20 DOI: 10.2166/wrd.2023.046

Jyoti Chauhan, R. M. Rani, V. Prashanthi, H. Almujibah, A. Alshahri, Koppula Srinivas Rao, A. Radhakrishnan

{"title":"Gradient-Boosted Decision Tree with used Slime Mould Algorithm (SMA) for wastewater treatment systems","authors":"Jyoti Chauhan, R. M. Rani, V. Prashanthi, H. Almujibah, A. Alshahri, Koppula Srinivas Rao, A. Radhakrishnan","doi":"10.2166/wrd.2023.046","DOIUrl":"https://doi.org/10.2166/wrd.2023.046","url":null,"abstract":"\u0000 One way to improve the infrastructure, operations, monitoring, maintenance, and management of wastewater treatment systems is to use machine learning modelling to make smart forecasting, tracking, and failure prediction systems. This method aims to use industry data to treat the wastewater treatment model. Gradient-Boosted Decision Tree (GBDT) algorithms were used gradually to predict wastewater plant parameters. In addition, we used the Slime Mould Algorithm (SMA) for feature extraction and other acceptable tuning procedures. The input and effluent Chemical Oxygen Demand (COD) prediction for effluent treatment systems applies to the GBDT approaches employed in this study. GBDT-SMA employs artificial intelligence to provide precise method modelling for complex systems. Several training and model testing techniques were used to determine the best topology for the neural network models and decision trees. The GBDT-SMA model performed best across all methods. With 500 data, GBDT-SMA achieved an accuracy of 96.32%, outperforming other models like Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Deep Convolutional Neural Network (DCNN), and K-neighbours RF, which reached an accuracy of 82.97, 87.45, 85.98, and 91.45%, respectively.","PeriodicalId":34727,"journal":{"name":"Water Reuse","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43229932","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

Water reuse for vine irrigation: from research to full-scale implementation 藤蔓灌溉的水再利用:从研究到全面实施

IF 4.5 4区环境科学与生态学

Water Reuse Pub Date : 2023-07-19 DOI: 10.2166/wrd.2023.054

Chrystelle Ayache, Y. Poussade, Yves Jaeger, E. Soyeux

{"title":"Water reuse for vine irrigation: from research to full-scale implementation","authors":"Chrystelle Ayache, Y. Poussade, Yves Jaeger, E. Soyeux","doi":"10.2166/wrd.2023.054","DOIUrl":"https://doi.org/10.2166/wrd.2023.054","url":null,"abstract":"\u0000 \u0000 Water scarcity is a worldwide problem, which leads to unprecedented pressure on water supply in arid and semi-arid regions. Treating wastewater is an alternative water resource, therefore, its reuse for agricultural irrigation has been growing worldwide since the beginning of the 21st century. In several regions of wine-producing countries (e.g., Australia, California – USA, Spain), wastewater reuse appears to be the most accessible alternative, both financially and technically, for agricultural uses that notably do not require drinking water. From the summer of 2022, vine irrigation full-scale implementation will start with tertiary treated municipal wastewater in the French Languedoc region. This was made possible thanks to a collaborative research project conducted between 2013 and 2018 to address all potential health and environmental risks associated with this process. This research project was conducted in the south of France, with experimental and control plots both equipped with drip irrigation systems. All the results produced during the research project demonstrated the feasibility of applying this process for vine drip irrigation while effectively managing health and environmental risks and complying with the regulation (treated water microbiological quality). A social acceptance and economic study were also performed in order to broaden the scope of the project scalability evaluation.","PeriodicalId":34727,"journal":{"name":"Water Reuse","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44055391","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

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