Water Research最新文献

{"title":"Prioritizing conservation sites for multi-pond systems to maintain protection of water quality in a fragmented agricultural catchment","authors":"Haozhe Zhang ,&nbsp;Yuhai Bao ,&nbsp;Xiubin He ,&nbsp;Jiaorong Lv ,&nbsp;Qiang Tang ,&nbsp;Xiaomin Qin ,&nbsp;Adrian L. Collins","doi":"10.1016/j.watres.2024.122763","DOIUrl":"10.1016/j.watres.2024.122763","url":null,"abstract":"<div><div>Precise targeting of conservation practices to the most effective sites in multi-pond systems (MPSs) is critical for resource optimization and water quality improvement. Previous studies generally prioritized ponds for conservation practices considering nutrient removal efficiency. However, they have frequently overlooked the role of ponds in sediment interception and the impact of human activities and environmental factors around the pond. Herein, the present study developed and applied a novel framework for pond prioritization by integrating the Pressure-State-Response (PSR) model, graph theory, and K-mean clustering. The framework consists of three components. An indicator system is developed to represent the nutrient removal performance of any MPS, impacts on catchment sediment connectivity, external threats, and human-initiated conservation. A flow path network considering natural and artificial elements was constructed to calculate indicator values. A cluster analysis was conducted on the index values of different ponds, and a hierarchical sorting method were used to prioritize ponds. The framework was applied to the Guilinqiao Catchment, a typical fragmented agricultural catchment in the Yangtze River Basin, China. The study has quantified the Pressure, State, and Response indices of different ponds in this catchment, prioritized the ponds, and drawn recommendations for conserving MPSs based on field surveys and remote sensing data. Ponds with higher Pressure index, higher State index, and lower Response index scores should be targeted as conservation priorities. This framework provides an effective method for ensuring management of MPSs to sustainably maximize water cleanup capacity with limited resources.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"268 ","pages":"Article 122763"},"PeriodicalIF":11.4,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142594446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Long-term effects of dead algal deposition on sediment surfaces: Behavior of endogenous phosphorus release in sediments","authors":"Yanqi Chen ,&nbsp;Dapeng Li ,&nbsp;Songqi Liu ,&nbsp;Yujie Zhang ,&nbsp;Xinrui Yan ,&nbsp;Xinyu Song ,&nbsp;Ziyu Li ,&nbsp;Boling Li ,&nbsp;Sujie Shan ,&nbsp;Yizhi Zhu ,&nbsp;Jun Hou","doi":"10.1016/j.watres.2024.122742","DOIUrl":"10.1016/j.watres.2024.122742","url":null,"abstract":"<div><div>Algae blooms are frequently triggered owing to the improvements in aquatic trophic levels. The aggregated algae from these blooms are eventually dead and accumulate on sediment surfaces, impacting the microenvironment and phosphorus cycling in aquatic systems. However, research on the effects of naturally dead algal deposition on endogenous P release from sediments is lacking. In this study, we investigated the long-term effects of dead algal deposition at varying concentrations on P release from sediments and the underlying mechanisms by assessing microbial metabolism and community structure. The results showed that following the dead algal deposition, the release of P from sediments to the water column peaked on day 40 (0.14±0.017 mg L^-1 in Amend12) and the SRP exchange capacity reached maximum (6.09 ± 1.63 mg/(cm²·d) in Amend12) at sediment-water interface in phase1 (0–3 day). This might be primarily attributed to the deposition of dead algae introducing much organic matter (such as organic carbon and organic phosphorus), thus altering the sediment microenvironment, which increased the activity of phosphorus-cycle microorganisms, such as polyphosphate-accumulating organisms, through increasing C source metabolism, reducing intracellular ammonia inhibition, and creating more suitable anaerobic conditions. Therefore, this study has improved our understanding of the management strategies for controlling endogenous phosphorus release in eutrophic shallow lakes, suggesting that the priming effects of freshly deposited algae could be mitigated by harvesting algae at the peak of blooms.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"268 ","pages":"Article 122742"},"PeriodicalIF":11.4,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142594479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Nano-micro materials regulated biocatalytic metabolism for efficient environmental remediation: Fine engineering the mass and electron transfer in multicellular environments","authors":"Haojin Peng,&nbsp;Yu Su,&nbsp;Xinyun Fan,&nbsp;Shuai Wang,&nbsp;Qingran Zhang,&nbsp;Yinguang Chen","doi":"10.1016/j.watres.2024.122759","DOIUrl":"10.1016/j.watres.2024.122759","url":null,"abstract":"<div><div>The escalating energy and environmental crises have spurred significant research interest into developing efficient biological remediation technologies for sustainable contaminant and resource conversion. Integrating engineered nano-micro materials (NMMs) with these biocatalytic processes offers a promising approach to improve the microbial performance for environmental remediation. Core to such material-enhanced hybrid biocatalysis systems (MHBSs) is the rational regulation of metabolic processes with the assistance of NMMs, where a fine engineered mass and electron transfer is beneficial for the improved biocatalytic activity. However, the specific mechanisms of those NMMs-enhanced microbial metabolisms are normally overlooked. Here, we review the recent progress in MHBSs, focusing primarily on the mass/electron transfer regulation strategies for an enhanced microbial behavior. Specifically, the NMMs-regulated mass and electron transfer in extracellular, interfacial, and intracellular environment are summarized, where the patterns of diverse microbiological response are discussed thoroughly. Notably, fine modifications of cell interfaces and intracellular compartments by NMMs could even endow the biohybrids with new metabolic functions beyond their natural capabilities. Further, we also emphasize the importance of matching the various metabolic demands of biosystems with the diverse properties of NMMs to achieve efficient environmental remediation through a coordinated regulation strategy. Finally, major challenges and opportunities for the future development and practical implementation of MHBSs for environment remediation practices are given, aiming to provide future system design guidelines for attaining desirable biological behaviors.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"268 ","pages":"Article 122759"},"PeriodicalIF":11.4,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Photoaging-induced variations in heteroaggregation of nanoplastics and suspended sediments in aquatic environments: A case study on nanopolystyrene","authors":"Dan Luo ,&nbsp;Chang Li ,&nbsp;Xue Bai ,&nbsp;Yi Shi ,&nbsp;Ruifeng Wang","doi":"10.1016/j.watres.2024.122762","DOIUrl":"10.1016/j.watres.2024.122762","url":null,"abstract":"<div><div>Photoaging of nanoplastics (NPs) and heteroaggregate with suspended sediments (SS) determines transport processes and ecological risks of NPs in aquatic environments. This study investigated the disruption of photoaging on the heteroaggregation behavior of polystyrene NPs (PSNPs) and SS in different valence electrolyte solutions and deduced the interaction mechanisms by integrating aggregation kinetics and molecular dynamics (MD) simulation. Increasing the electrolyte concentration significantly enhanced the heteroaggregation between PSNPs and SS, and the divalent electrolytes induced the heteroaggregation more efficiently. MD simulation at the molecular level revealed that PS and SS could spontaneously form clusters, and photoaged PS has a stronger potential to fold into a dense state with SS. Photoaging for 30 d retarded heteroaggregation due to the steric hindrance produced by the leached organic matter in NaCl solutions, and the critical coagulation concentration (CCC) increased by &gt;85.44 %. Contrarily, photoaging caused more oxygen-containing functional groups produced on the surface of PSNPs through Ca²⁺ bridging promoting heteroaggregation and thus destabilizing in CaCl₂ solutions, the CCC decreased by 23.53 % ∼ 35.29 %. These findings provide mechanistic insight into the environmental process of NPs and SS and are crucial for a comprehensive understanding of the environmental fate and transport of NPs in aquatic environments.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"268 ","pages":"Article 122762"},"PeriodicalIF":11.4,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142594478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Development of a deep learning–based feature stream network for forecasting riverine harmful algal blooms from a network perspective","authors":"Jihoon Shin,&nbsp;YoonKyung Cha","doi":"10.1016/j.watres.2024.122751","DOIUrl":"10.1016/j.watres.2024.122751","url":null,"abstract":"<div><div>Global increases in the occurrence of harmful algal blooms (HABs) are of major concern in water quality and resource management. A predictive model capable of quantifying the spatiotemporal associations between HABs and their influencing factors is required for effective preventive management. In this study, a feature stream network (FSN) model is proposed to provide daily forecasts of cyanobacteria abundance at multiple monitoring sites simultaneously in a river network. The spatial connectivity between monitoring sites was expressed as a directed acyclic graph comprising edges and nodes representing flows and monitoring sites, respectively. Furthermore, a segment-wise node connection structure was developed to extract the latent features of a river segment comprising individual nodes and sequentially transfer them to the downstream segment(s). In addition, a feature engineering–attention hybrid mechanism was employed to address temporal mismatches among different monitoring schemes while adding explainability to the model. Consequently, the FSN showed improved predictive performance, temporal resolution, and explainability for multi-site forecasts of HAB in a single model framework. The developed model was applied to a bloom-prone middle course of the Nakdong River, South Korea. Various hydrological, environmental, and biological factors were utilized for forecasting the cyanobacteria abundance. The FSN exhibited a high degree of accuracy across the sites for the test data with a coefficient of determination in the range of 0.64–0.71 and root mean square error in the range of 2.06–2.26 cells/mL on natural log scales. Although the relative importance of input features varied across the sites, the features extracted from nearby nodes consistently exhibited high importance in forecasting the cyanobacteria abundance. These explanations indicate that the proposed model can successfully characterize the spatial hierarchy of a river network. A scenario analysis suggested that reduced total nitrogen loads in the effluents from the wastewater treatment plant and the combined operations of upstream and downstream weirs were effective in managing HABs.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"268 ","pages":"Article 122751"},"PeriodicalIF":11.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Reconsideration of the role of hydrogen peroxide in peroxymonocarbonate-based oxidation system for pollutant control","authors":"Zihan Yang ,&nbsp;Yi Zhou ,&nbsp;Yiqian Jiang ,&nbsp;Peiqing Zhao ,&nbsp;Xu Meng","doi":"10.1016/j.watres.2024.122750","DOIUrl":"10.1016/j.watres.2024.122750","url":null,"abstract":"<div><div>Advanced oxidation processes that utilize peroxymonocarbonate (HCO₄^-), generated in-situ through the reaction of HCO₃^- and H₂O₂, are employed for the removal of pollutants in water. Nevertheless, the precise role of H₂O₂ in these processes remains a subject of debate. This study established a HCO₄^--based oxidation system using NaHCO₃ and H₂O₂ for the degradation of acetaminophen and investigated the activation mechanisms of coexisting oxidants. Under thermal activation conditions, the O<img>O bond in HCO₄^- (HO<img>OCOO^-) was more readily cleaved than the O<img>O bond in the co-existing oxidant H₂O₂ (HO<img>OH), leading to the generation of reactive oxygen species (ROS). Based on kinetics and ROS evaluation, H₂O₂ primarily served to form HCO₄^- rather than converting to ·OH or O₂, with HCO₄^- acting as the primary oxidant for degradation through the formation of <span><math><msubsup><mtext>CO</mtext><mrow><mn>3</mn></mrow><mrow><mo>·</mo><mo>−</mo></mrow></msubsup></math></span>and <strong>·</strong>OH. In this oxidation system, H₂O₂ utilization efficiency for <strong>·</strong>OH production reached 27.34 %, <strong>·</strong>OH yield reached 24.15 % and acetaminophen degradation efficiency realized 83 % at 60 °C with 20 mM HCO₃^- and 20 mM H₂O₂. The apparent activation energy of acetaminophen degradation and HCO₄^- activation were calculated as 90.83 kJ mol^-1 and 18.81 kJ mol^-1, respectively. Moreover, a novel CO₂-derived HCO₄^--based system led to a comparable acetaminophen degradation efficiency of 82 % and a higher k<em>_obs</em> of 0.028 min^-1. The system optimization and ROS evaluation suggest that high concentration of H₂O₂ inhibited the degradation and quenched <span><math><msubsup><mtext>CO</mtext><mrow><mn>3</mn></mrow><mrow><mo>·</mo><mo>−</mo></mrow></msubsup></math></span> and <strong>·</strong>OH to yield <strong>·</strong>O₂^- and ¹O₂. Furthermore, EPR analysis and quenching experiments indicate that <span><math><msubsup><mtext>CO</mtext><mrow><mn>3</mn></mrow><mrow><mo>·</mo><mo>−</mo></mrow></msubsup></math></span> was mainly responsible for acetaminophen degradation. This work provides fundamental understanding of the HCO₄^--based oxidation system.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"268 ","pages":"Article 122750"},"PeriodicalIF":11.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Heating and ultraviolet irradiation: Gas pressure meter-based analytical system for on-site and rapid monitoring of permanganate index (CODMn)","authors":"Jiayuan Tang ,&nbsp;Dali Zhuo ,&nbsp;Jihong Chen ,&nbsp;Jing Xiao ,&nbsp;Ronghua Zeng ,&nbsp;Chao Tan ,&nbsp;Xiaoli Xiong ,&nbsp;Zhirong Zou","doi":"10.1016/j.watres.2024.122758","DOIUrl":"10.1016/j.watres.2024.122758","url":null,"abstract":"<div><div>Permanganate index (COD_Mn) is one of the important indicators of surface water quality measurement. Herein, a portable analytical system was developed for on-site and rapid analysis of COD_Mn, organic substances in water were oxidized and transformed into gases, so that COD_Mn concentration was converted into a change of gas pressure signal, the pressure signal change was further detected by a gas pressure meter. Heating method and ultraviolet (UV) irradiation method were used as assisting technologies for oxidization of organic substances by acidic KMnO₄, a linear range of 2–150 mg <span>l</span>^-1 and a detectable limit of 2 mg <span>l</span>^-1 were obtained. Those methods were further applied to the detection of COD_Mn in various water samples (lake waters and domestic sewage) and certified reference water samples (BWZ 6974–2016C and BWZ 7617–2016), with recoveries of 89–111 %. Among them, a portable analytical system based on UV irradiation gas pressure meter was further established and used for the analysis of COD_Mn in field. It is a promising analytical system/device for COD_Mn monitoring in field, offering advantages of low-cost, easy-operation, portability and rapidness.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"268 ","pages":"Article 122758"},"PeriodicalIF":11.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Key process of ethanol hydrogen donor promoting the conversion of organic matter in sludge to bio-oil","authors":"Quxiu Dai ,&nbsp;Linglong Zeng ,&nbsp;Qihong Cen ,&nbsp;Wang Du ,&nbsp;Ping Ning ,&nbsp;Kai Li ,&nbsp;Zhiying Guo ,&nbsp;Ran Ao ,&nbsp;Longgui Xie ,&nbsp;Nanqi Ren ,&nbsp;Liping Ma ,&nbsp;Jie Yang ,&nbsp;Guocai Tian ,&nbsp;Xin Sun","doi":"10.1016/j.watres.2024.122753","DOIUrl":"10.1016/j.watres.2024.122753","url":null,"abstract":"<div><div>To develop clean energy utilization of sewage sludge, this study investigated the conversion behavior of organics and energy in supercritical sludge-ethanol system. The influence of liquefied parameters on products distribution, hydrogen supply process of ethanol for sludge liquefaction, migration of organics, and energy transformation were investigated. Results indicated that ethanol acted as both a solvent and a hydrogen donor. It providing H⋅ to promote organics dissociation for bio-oil production through radical reactions. Formation of new products in bio-oil such as C₂₀H₃₈O₂ and C₂₀H₃₈O₂ may be caused by H⋅ generated from <img>OH and <img>CH in ethanol. The increase in dodecanes and hexadecanes in bio-oil may be formed by recombination of smaller radicals such as HO·, H·, CH₃⋅, CH₃CH₂⋅ from dissociation of ethanol and organics. Additionally, energy migration process indicated that higher temperatures increased carbon content in bio-oil from 40.88 to 48.92 %, decreased oxygen content from 48.6 to 39.56 %, and raised the calorific value of bio-oil from 29.63 to 30.11 MJ/kg. Besides, approximately 74.14 % of sludge energy transferred to bio-oil, while about 71.94 % of oxygen moved to bio-char, reducing the calorific value of bio-char to 0.03 MJ/kg. Notably, about 240.5 kg of bio-oil can be produced from 1t of sludge, reducing net carbon emissions by 43.583 kg, and presenting a sustainable alternative to fossil fuels. This study innovatively investigated the dual role of ethanol for sludge liquefaction, providing an efficient and sustainable method for energy recovery from sludge.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"268 ","pages":"Article 122753"},"PeriodicalIF":11.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Structure-activity relationship between crystal plane and pyrite-driven autotrophic denitrification efficacy: Electron transfer and metagenome-based microbial mechanism","authors":"Yingmu Wang ,&nbsp;Shi Chen ,&nbsp;Yuanjing Chen ,&nbsp;Junge Xu ,&nbsp;Jian Zhou ,&nbsp;Qiang He ,&nbsp;Ziyuan Lin ,&nbsp;Kai-qin Xu ,&nbsp;Gongduan Fan","doi":"10.1016/j.watres.2024.122756","DOIUrl":"10.1016/j.watres.2024.122756","url":null,"abstract":"<div><div>Pyrite-driven autotrophic denitrification (PAD) has been recognized as a promising treatment technology for nitrate removal. Although the occurrence of PAD has been found in recent years, there is a knowledge gap about effects of crystal plane of pyrite on the performance and mechanism of PAD system. Here, this study investigated the effects of crystal planes ({100}, {111} and {210}) of single-crystal pyrite on denitrification performance, electron transfer, and microbial mechanism in PAD system. The removal efficiency of nitrate in <em>B-{210}</em> reached 100%, which was 1.67-fold and 2.86-fold higher than that of <em>B-{100}</em> and <em>B-{111}</em>, respectively. X-ray photoelectron spectroscopy and electrochemical results indicated that Fe-S bonds of pyrite with {210} crystal plane were more susceptible to breakage by Fe³⁺ oxidation assault, and leaching microbially available Fe²⁺ and sulfur intermediates to drive autotrophic denitrification. Metagenomic results suggested that community of functional pyrite-driven denitrifiers varied in response to crystal plane, and abundances of N-S transformation and EET-related microbes and genes in <em>B-{210}</em> notably up-regulated compared to <em>B-{100}</em> and <em>B-{111}</em>. In addition, this work proposed a dual-mode for electron transfer pathway during pyrite oxidation and nitrogen transformation in PAD system. In <em>B-{210}</em>, Fe(II)- and sulfur-driven denitrifiers obtained electron after pyrite oxidation-dissolution, and the enrichment of pyrite-oxidizing bacteria in <em>B-{210}</em> could enhance the electron transfer from pyrite through electron shuttles. This work highlighted that stronger surface reactivity and electron shuttle effect in <em>B-{210}</em> enhanced electron transfer, leading to favorable PAD performance in <em>B-{210}</em>. Overall, this study provides novel insights into the structure-activity relationship between the crystal plane structure of pyrite and denitrification activity in PAD system.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"268 ","pages":"Article 122756"},"PeriodicalIF":11.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Forecasting nitrous oxide emissions from a full-scale wastewater treatment plant using LSTM-based deep learning models","authors":"Siddharth Seshan ,&nbsp;Johann Poinapen ,&nbsp;Marcel H. Zandvoort ,&nbsp;Jules B. van Lier ,&nbsp;Zoran Kapelan","doi":"10.1016/j.watres.2024.122754","DOIUrl":"10.1016/j.watres.2024.122754","url":null,"abstract":"<div><div>Nitrous oxide (N₂O) emissions from wastewater treatment plants (WWTPs) exhibit significant seasonal variability, making accurate predictions with conventional biokinetic models difficult due to complex and poorly understood biochemical processes. This study addresses these challenges by exploring data-driven alternatives, using long short-term memory (LSTM) based encoder-decoder models as basis. The models were developed for future integration into a model predictive control framework, aiming to reduce N₂O emissions by forecasting these over varying prediction horizons. The models were trained on 12 months and tested on 3 months of data from a full-scale WWTP in Amsterdam West, the Netherlands. The dataset encompasses seasonal peaks in N₂O emissions typical for winter and spring months. The best performing model, featuring a 256–256 LSTM architecture, achieved the highest accuracy with test R² values up to 0.98 across prediction horizons spanning 0.5 to 6.0 h ahead. Feature importance analysis identified past N₂O emissions, influent flowrate, NH₄⁺, NO_x, and dissolved oxygen (DO) in the aerobic tank as most significant inputs. The observed decreasing influence of historical N₂O emissions over extended prediction horizons highlights the importance and significance of process variables for the model's performance. The model's ability to accurately forecast short-term N₂O emissions and capture immediate trends highlights its potential for operational use in controlling emissions in WWTPs. Further research incorporating diverse datasets and biochemical process inputs related to microbial activities in the N₂O production pathways could improve the model's accuracy for longer forecasting horizons. These findings advocate for hybridising deep learning models with biokinetic and mechanistic insights to enhance prediction accuracy and interpretability.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"268 ","pages":"Article 122754"},"PeriodicalIF":11.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142579881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}