{"title":"Developing a universal equation to estimate the mass of dewatered wastewater sludge during biological digestion at mesophilic and thermophilic temperatures.","authors":"Eskandar Poorasgari, Banu Örmeci","doi":"10.2166/wst.2024.366","DOIUrl":"https://doi.org/10.2166/wst.2024.366","url":null,"abstract":"<p><p>A series of dewaterability tests were conducted on various types of sludges to establish a wholistic relationship between sludge water fractions. Sludge samples were obtained from batch and continuous sludge digesters, which were operated anaerobically and aerobically under mesophilic and thermophilic conditions. Dewaterability of the sludge samples and the distribution of water fractions were studied using centrifugation and thermal drying. Thickened waste activated sludge (T-WAS) contained 10-11 g bound water (BW)/g of total solids (TS), and it was more hydrophilic than primary and digested sludges. During anaerobic digestion, BW content fluctuated between 3.2 and 4.2 g BW/g TS. However, aerobic digestion at 55°C reduced the BW content of the mixed T-WAS + primary sludges from 3.7 to 2.1 g BW/g TS. A linear function was developed to correlate supernatant and BW mass fractions (R<sup>2</sup> = 0.995). An equation was derived from the linear function to estimate the mass of dewatered sludge based on the TS concentration of the initial wet sludge. The developed expression is applicable to different kinds of wastewater sludges. Such an expression would be helpful for the designers and operators of sludge thickening and dewatering systems that use centrifugal separation.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 10","pages":"2894-2910"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751773","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 rubber particle inputs on nitrogen removal efficiency of bioretention systems.","authors":"Tuanping Hu, Wenyi Li, Jiaqing Xiong, Jiajia Zhou, Qianhe Xia","doi":"10.2166/wst.2024.363","DOIUrl":"https://doi.org/10.2166/wst.2024.363","url":null,"abstract":"<p><p>Bioretention systems effectively capture rubber particles and other microplastics in stormwater runoff. However, it is uncertain whether long-term particle accumulation affects pollutant removal efficacy. This study investigated the impact of various concentrations of ethylene-propylene-diene-monomer (EPDM) particles (0, 50, 100, and 400 mg/L) on bioretention system nitrogen removal performance. The input of EPDM during short-duration (2 h) rainfall favored the removal of nitrogen, and the total nitrogen effluent concentration of the bioretention system with EPDM was reduced by 0.59-1.52 mg/L compared with that of the system without EPDM. In addition, the input of EPDM reduced the negative effects of drought. During long-duration (24 h) rainfall, higher concentrations of EPDM led to lower nitrate-nitrogen concentrations in the effluent. The bioretention system with EPDM required less time for nitrate-nitrogen removal to reach 50% than that without EPDM input. Microbial community analysis showed that EPDM increased the relative total abundance of denitrifying bacteria (such as <i>Dechloromonas</i>, <i>Zoogloea</i>, <i>Ramlibacter</i>, and <i>Aeromonas</i>) by 7.25-10.26%, which improved the denitrification capacity of the system.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 10","pages":"2734-2746"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751776","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 Posavcic, Katarina Licht, Ivan Halkijevic, Domagoj Nakic
{"title":"Kinetic study of mineral oil removal from wastewater by the sono-electrochemical process.","authors":"Hana Posavcic, Katarina Licht, Ivan Halkijevic, Domagoj Nakic","doi":"10.2166/wst.2024.370","DOIUrl":"https://doi.org/10.2166/wst.2024.370","url":null,"abstract":"<p><p>Chemical kinetics can be a useful tool for determining the optimal operating time of electrochemical processes. The main objective of the study was to determine the mineral oil removal rate by sono-electrochemical treatment. In this study, zero-, first-, and second-order kinetic models were used to determine the reaction rate of mineral oil removal with the sono-electrochemical process. The reaction rate experiments were conducted under the following optimal conditions: 8 min of treatment time, a current density of 53.1 A/m<sup>2</sup>, and a flow rate of 0.23 L/s. It was found that the changes in mineral oil concentrations follow second-order kinetics with a coefficient of determination of 0.9732. The mineral oil removal efficiency was 94.4%. This study concludes that sono-electrochemical process could be a promising technology for the removal of mineral oil from wastewater, and that the mineral oil removal rate can be determined by chemical kinetics. The results obtained may be useful for the optimization of the sono-EC process and reactor design.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 10","pages":"2911-2917"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751777","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}
Wenjiao Sang, Zhenxue Ge, Qian Zhang, Fangmao Gan, Nianhong Wan, Lei Zou
{"title":"A new strategy for greenhouse gas emission reduction in the anaerobic/anoxic/oxic biological treatment process using exogenous N-acyl-homoserine lactones, a quorum-sensing signaling molecules.","authors":"Wenjiao Sang, Zhenxue Ge, Qian Zhang, Fangmao Gan, Nianhong Wan, Lei Zou","doi":"10.2166/wst.2024.369","DOIUrl":"https://doi.org/10.2166/wst.2024.369","url":null,"abstract":"<p><p>In this study, the impact of exogenous N-acyl-homoserine lactones (AHLs) on greenhouse gas (GHG) emissions in anaerobic/anoxic/oxic (A/A/O) systems was analyzed by manipulating the type and dosage of AHLs. The mechanism behind AHLs' effects on GHG emissions was explored through changes in microbial community structure. Findings revealed that N-octanoyl-homoserine lactone (C8-HSL) and high-dose N-dodecanoyl-homoserine lactone (C12-HSL) increased GHG emissions, while low-dose C12-HSL decreased them. Moreover, C8-HSL and high-dose C12-HSL promoted methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O) production by affecting sludge particle size. Bacterial community analysis highlighted <i>Acinetobacter</i> and <i>Flavobacterium</i>'s roles in N<sub>2</sub>O emissions and acetate methanogens in methane synthesis. Metabolic pathway analysis showed that the acetic acid (CH<sub>3</sub>COOH) methanogenic pathway was the main methanogenic pathway; C8-HSL and C12-HSL influenced methane emission by affecting the methanogenic pathway and N<sub>2</sub>O emission by changing nitrous oxide reductase (<i>Nos</i>) abundance. This research underscores AHL-based quorum sensing's potential in mitigating GHG emissions during activated sludge wastewater treatment, offering insights into their application and impact on key microbial activities. Limitations include the absence of methane emission reduction by signaling molecules and the need for further investigation into their effects on sludge accumulation.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 10","pages":"2764-2783"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751830","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":"Comparison of reference libraries for the detection of tire-derived microplastics (TMPs).","authors":"Hiroshi Sakai, Zizheng Sun, Masami Yanagihara","doi":"10.2166/wst.2024.378","DOIUrl":"10.2166/wst.2024.378","url":null,"abstract":"<p><p>Introducing microplastics (MPs) into the marine environment is a global problem. Tire-derived microplastics (TMPs) are estimated to account for 60% of all secondary MPs dispersed in aquatic environments. To effectively detect TMPs in environmental samples using micro-Fourier transform infrared (μFTIR) spectroscopy, a high-quality reference library is essential. However, the use of conventional diamond crystals in FTIR presents challenges for the detection of materials containing carbon black, such as rubber and tires. In addition, there is a discrepancy between spectra from standard libraries and spectra from environmental samples, which makes detection difficult. In order to overcome these problems in the detection of TMPs by μFTIR, we developed four reference libraries to improve the detection, and 'The 26 tire wear library' was found to be the best among these four. Furthermore, a comparison of these new libraries revealed the following requirements to improve TMP detection: (i) the reference spectra must be acquired under the same setup used for material observation including prism material, (ii) tires, not rubber, must be used as reference materials, and (iii) tire wear samples must be prepared to replicate the actual generation conditions on roads.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 10","pages":"2784-2795"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751836","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}
Augustine A Unimke, Onyemaechi Okezie, Sa'adatu E Mohammed, Augusta O Mmuoegbulam, Saidu Abdullahi, Utibe A Ofon, Denis M Olim, Hamza Badamasi, Abdulsalam I Galadima, Opeyemi K Fatunla, Aminu Abdullahi, Sharhabil M Yahaya, Muhammad M Ibrahim, Abba B Muhammad, Naseer I Durumin Iya, Olushola S Ayanda
{"title":"Microbe-plant-nanoparticle interactions: role in bioremediation of petroleum hydrocarbons.","authors":"Augustine A Unimke, Onyemaechi Okezie, Sa'adatu E Mohammed, Augusta O Mmuoegbulam, Saidu Abdullahi, Utibe A Ofon, Denis M Olim, Hamza Badamasi, Abdulsalam I Galadima, Opeyemi K Fatunla, Aminu Abdullahi, Sharhabil M Yahaya, Muhammad M Ibrahim, Abba B Muhammad, Naseer I Durumin Iya, Olushola S Ayanda","doi":"10.2166/wst.2024.362","DOIUrl":"https://doi.org/10.2166/wst.2024.362","url":null,"abstract":"<p><p>Petroleum hydrocarbons (PHCs) are organic substances that occur naturally on earth. PHCs have emerged as one of the most prevalent and detrimental contaminants in regions comprising soil and water resources. The limitations of conventional physicochemical and biological remediation solutions could be solved by combining remediation techniques. An effective, affordable, and environmentally benign method of reducing petroleum toxins is provided by the advanced idea of bioremediation, which has evolved into nanobioremediation. Environments contaminated with PHCs have been restored through microbe-plant-nanoparticle (NP)-mediated remediation, this review emphasizes how various metallic NPs interact with microbes and plants changing both their activity and that of enzymes, therefore accelerating the remediation process. This work further examines the challenges and possible uses of nanobioremediation, as well as the application of novel technologies in the interactions between bacteria, plants, and NPs for the bioremediation of PHCs. Furthermore, it has been shown that the use of plant-based, microbe-based, microbe-plant-based, and microbe-plant-NP-based techniques to remediate contaminated soils or water bodies is economical and environmentally beneficial. Microbial consortia have been reported as the treasure houses for the cleaning and recovery of hydrocarbon-contaminated environments, and the development of technologies for bioremediation requires an understanding of hydrocarbon degradation mechanisms.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 10","pages":"2870-2893"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751778","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}
S Natchathra, G Indramahalakshmi, Balasubramani Kavitha
{"title":"Phytomediated synthesis of WO<sub>3</sub> nanoparticles using <i>Solanum lycopersicum</i> fruit extract for enhanced photocatalytic activity of 2,4-dichlorophenol.","authors":"S Natchathra, G Indramahalakshmi, Balasubramani Kavitha","doi":"10.2166/wst.2024.365","DOIUrl":"https://doi.org/10.2166/wst.2024.365","url":null,"abstract":"<p><p>In the present study, bio-citric acid/tungsten oxide (WO<sub>3</sub>) (BCAWO) nanoparticles (NPs) were prepared by using <i>Solanum lycopersicum</i> fruit extract as a reducing as well as a capping agent. The photocatalysts were characterized by UV-vis diffuse reflectance spectroscopy, powder X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive X-ray spectrometry (EDS), high-resolution transmission electron microscopy, and photoluminescence spectroscopy techniques. Diffraction peaks in the XRD spectrum were identified as the crystal planes of crystalline tungsten oxide. The BCAWO had an average size of 23.14 nm. For W-O bonds, the Fourier transform infrared spectrum displays the vibrational peak at 671.23 cm<sup>-1</sup>. A prominent absorption band was observed at 268 nm, indicating the 1.2 eV bandgap. Under xenon (Xe) lamp irradiation, the synthesized BCAWO nanoparticles showed notable photocatalytic degradation of 2,4-dichlorophenol (2,4-DCP), with a degradation rate of 96%. With BCAWO concentrations of 2.5 g/L, pH of 4, reaction period of 180 min, and 2,4 DCP concentration of 10 mg/L, the degradation of 2,4-DCP had the highest efficacy, 96%. The degradation of phenols in wastewater may be facilitated by using the green WO<sub>3</sub> nanoparticles as a photocatalyst, according to the results.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 10","pages":"2918-2933"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751780","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}
Mohammed Achite, Saeed Samadianfard, Nehal Elshaboury, Kamel Abderezak Toubal, Eslam Mohammed Abdelkader, Milad Sharafi
{"title":"A combined support vector regression with a firefly algorithm for prediction of energy consumption in wastewater treatment plants.","authors":"Mohammed Achite, Saeed Samadianfard, Nehal Elshaboury, Kamel Abderezak Toubal, Eslam Mohammed Abdelkader, Milad Sharafi","doi":"10.2166/wst.2024.375","DOIUrl":"https://doi.org/10.2166/wst.2024.375","url":null,"abstract":"<p><p>Wastewater treatment plants (WWTPs) comprise energy-intensive processes, serving as primary contributors to overall WWTP costs. This research study proposes a novel approach that integrates support vector regression (SVR) with the firefly algorithm (FFA) for the prediction of energy consumption in a WWTP in Chlef City, Algeria. The database comprises a comprehensive set of 1,653 samples, capturing diverse information categories. It includes chemical and physical characteristics, encompassing chemical oxygen demand, 5-day biochemical oxygen demand, potential of hydrogen, water temperature, total suspended sediment in water and basin, influent N-NH<sub>3</sub> concentration, number of aerators, and operating time. Additionally, the hydraulic and energy-related parameters are represented by the flow entered at the station and the energy consumed by aerators, respectively. Finally, meteorological data, comprising rainfall, temperature, relative humidity, and the aridity index, are part of the dataset required for analysis. In this regard, 15 different models that correspond to 15 different combinations of input parameters are assessed in this study. The results show that the SVR-FFA-15 can render an improvement in the prediction accuracy of energy consumption in WWTPs. This study provides a useful tool for managing the energy consumption of wastewater treatment and makes insightful recommendations for future energy savings.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 10","pages":"2747-2763"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751827","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":"A novel approach for multivariate time series interval prediction of water quality at wastewater treatment plants.","authors":"Siyu Liu, Zhaocai Wang, Yanyu Li","doi":"10.2166/wst.2024.371","DOIUrl":"10.2166/wst.2024.371","url":null,"abstract":"<p><p>This study proposes a novel approach for predicting variations in water quality at wastewater treatment plants (WWTPs), which is crucial for optimizing process management and pollution control. The model combines convolutional bi-directional gated recursive units (CBGRUs) with adaptive bandwidth kernel function density estimation (ABKDE) to address the challenge of multivariate time series interval prediction of WWTP water quality. Initially, wavelet transform (WT) was employed to smooth the water quality data, reducing noise and fluctuations. Linear correlation coefficient (CC) and non-linear mutual information (MI) techniques were then utilized to select input variables. The CBGRU model was applied to capture temporal correlations in the time series, integrating the Multiple Heads of Attention (MHA) mechanism to enhance the model's ability to comprehend complex relationships within the data. ABKDE was employed, supplemented by bootstrap to establish upper and lower bounds of the prediction intervals. Ablation experiments and comparative analyses with benchmark models confirmed the superior performance of the model in point prediction, interval prediction, the analysis of forecast period, and fluctuation detection for water quality data. Also, this study verifies the model's broad applicability and robustness to anomalous data. This study contributes significantly to improved effluent treatment efficiency and water quality control in WWTPs.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 10","pages":"2813-2841"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751832","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}
Lisa Öborn, Heléne Österlund, Claudia Lorenz, Alvise Vianello, Jeanette Lykkemark, Jes Vollertsen, Maria Viklander
{"title":"Composition and concentrations of microplastics including tyre wear particles in stormwater retention pond sediments.","authors":"Lisa Öborn, Heléne Österlund, Claudia Lorenz, Alvise Vianello, Jeanette Lykkemark, Jes Vollertsen, Maria Viklander","doi":"10.2166/wst.2024.368","DOIUrl":"https://doi.org/10.2166/wst.2024.368","url":null,"abstract":"<p><p>Stormwater is recognised as a vector for microplastics (MPs), including tyre wear particles (TWPs) from land-based sources to receiving waterbodies. Before reaching the waterbodies, the stormwater may be treated. In this study, sediments from six treatment facilities (five retention ponds and a subsurface sedimentation tank) were analysed to understand MP occurrence, concentrations, sizes, polymer types and distribution between inlet and outlet. The concentrations of MPs showed large variations between and within different facilities with MP concentrations of 1,440-72,209 items/kg (analysed by μFTIR) corresponding to 120-2,950 μg/kg and TWP concentrations from <DL up to 69,300 μg/kg (analysed by pyrolysis-GC-MS), with significantly higher concentrations at the inlet compared to the outlet. Polypropylene (PP) was the predominant MP type in terms of number in all samples. TWPs were dominant by mass in most (nine) samples. The relatively low density of PP polymers implies that density might not be the sole factor influencing particle settlement behaviour. Small particles occurred more frequently than large ones; around 70% of the particles detected in the samples were 100 μm or smaller. In summary, this study highlights the occurrence of MPs, including TWPs, in stormwater facilities and demonstrates variations in concentrations depending on sites and locations within the facility.</p>","PeriodicalId":23653,"journal":{"name":"Water Science and Technology","volume":"90 10","pages":"2857-2869"},"PeriodicalIF":2.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142751838","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}