Water Research X最新文献_第6页

Leak detection and localization in water distribution systems via multilayer networks 基于多层网络的配水系统泄漏检测与定位

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-11-22 DOI: 10.1016/j.wroa.2024.100280

Daniel Barros , Ariele Zanfei , Andrea Menapace , Gustavo Meirelles , Manuel Herrera , Bruno Brentan

{"title":"Leak detection and localization in water distribution systems via multilayer networks","authors":"Daniel Barros , Ariele Zanfei , Andrea Menapace , Gustavo Meirelles , Manuel Herrera , Bruno Brentan","doi":"10.1016/j.wroa.2024.100280","DOIUrl":"10.1016/j.wroa.2024.100280","url":null,"abstract":"<div><div>The continuous increase of water distribution networks (WDNs) in size and complexity poses significant management challenges, including a high risk of failures. Due to the intrinsic interconnected feature of water flow, including losses, this study proposes a methodology based on graph correlation and multilayer network analysis for leak detection and localization in WDNs with multiple components (infrastructure, control devices, hydraulic sensors). The detection process involves correlating monitored data to create a temporal graph and classify vertices. The classification values are then analyzed by the z-score and interquartile range algorithms to detect anomalies. The localization process uses a multi-graph approach that combines sensor data and network topology to determine the sensor coverage area. The Dynamic Time Warping algorithm calculates the similarity between monitored and simulated leak data, identifying likely leak locations. The results demonstrate the methodology’s effectiveness, detecting anomalies 15 minutes after the start of the leak and locating them within a 50-meter range from the actual location of the leak. Furthermore, the research highlights the advantages of using a method based on multilayer networks, which offers insights into leak location, sensor coverage, and reduction of the network’s sample space. Furthermore, the approach presents a proposal to reduce exhaustive hydraulic simulations.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"26 ","pages":"Article 100280"},"PeriodicalIF":7.2,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Autonomous online optimization of a closed-circuit reverse osmosis system 闭路反渗透系统的自主在线优化

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-11-20 DOI: 10.1016/j.wroa.2024.100279

Dhrubajit Chowdhury , Aurora Kuras , Tani Cath , Amanda S. Hering , Alexander Melin , Tzahi Y. Cath , Kris Villez

{"title":"Autonomous online optimization of a closed-circuit reverse osmosis system","authors":"Dhrubajit Chowdhury , Aurora Kuras , Tani Cath , Amanda S. Hering , Alexander Melin , Tzahi Y. Cath , Kris Villez","doi":"10.1016/j.wroa.2024.100279","DOIUrl":"10.1016/j.wroa.2024.100279","url":null,"abstract":"<div><div>As freshwater becomes increasingly scarce, many industrial and municipal water utilities look at premise-scale water treatment and reuse to meet water demand. Closed-circuit reverse osmosis (CCRO) has been proposed as a promising process design to do so. This sequencing batch process enables operation at higher brine salinity levels by means of a recycle flow. Optimal operation requires that the maximum salinity level at the membrane surface represents an optimal trade-off between brine disposal costs and energy efficiency. This maximum salinity level may change over time as the feed water composition changes and electricity markets fluctuate. In this article, we present the results of the experimental evaluation of an automatic technique for continuous online optimization, known as extremum seeking control. This technique has a long history in the process control community but has received little traction so far in the water industry. We modify this technique to enable its use for online optimization of CCRO, specifically to account for its sequential batch operation. We challenge the optimization schemes through several experimental tests and illustrate the advantages and drawbacks of extremum-seeking control.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"26 ","pages":"Article 100279"},"PeriodicalIF":7.2,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Making waves: Public health risks from arsenic in Mexico's water extraction practices 掀起波澜：墨西哥取水工艺中的砷对公众健康造成的风险

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-11-19 DOI: 10.1016/j.wroa.2024.100283

Gabriel López Porras , Patrick Allard

引用次数: 0

Cyanobacteria as dominant mediator of altitudinal gradient effects on phytoplankton community diversity in freshwater ecosystems: Evidences from the freshwater Lakes along the Hu Line 蓝藻是海拔梯度对淡水生态系统浮游植物群落多样性影响的主要中介：来自沪宁线淡水湖的证据

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-11-17 DOI: 10.1016/j.wroa.2024.100281

Wei Wang , Zhongshi He , Junping Lv , Xudong Liu , Shulian Xie , Jia Feng

{"title":"Cyanobacteria as dominant mediator of altitudinal gradient effects on phytoplankton community diversity in freshwater ecosystems: Evidences from the freshwater Lakes along the Hu Line","authors":"Wei Wang , Zhongshi He , Junping Lv , Xudong Liu , Shulian Xie , Jia Feng","doi":"10.1016/j.wroa.2024.100281","DOIUrl":"10.1016/j.wroa.2024.100281","url":null,"abstract":"<div><div>Phytoplankton are vital components of freshwater ecosystems, serving as primary producers and ecological indicators of freshwater health. While substantial research has explored the dynamics and potential drivers of phytoplankton communities in freshwater lakes, the influence of altitude—a crucial geographic factor—remains unelucidated. In this study, we investigated 26 lakes located along the eastern section of the Hu Line (Heihe–Tengchong Line) from China, focusing on how altitudinal gradients shape phytoplankton communities. Our findings reveal that cyanobacteria increasingly dominate community abundance with rising altitude. However, this dominance results in a reduction of community diversity, as cyanobacteria outcompete other taxa, thereby narrowing the ecological niches available. Further analysis indicates that the effects of altitude are mediated primarily by dominant cyanobacteria, which are equipped with gas vesicles that provide an adaptive advantage under low atmospheric pressure conditions associated with higher altitudes. This physiological trait allows cyanobacteria to maintain buoyancy and occupy favorable niches in the water column, enhancing their proliferation at the expense of overall community diversity. The study underscores the critical role of altitude in modulating phytoplankton community structure through its direct influence on cyanobacteria. These findings contribute new insights into the ecological processes that regulate freshwater ecosystems across altitudinal gradients, and highlight the need for targeted management strategies in regions where cyanobacterial dominance (cyanobacterial blooms) may compromise water quality and biodiversity.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"26 ","pages":"Article 100281"},"PeriodicalIF":7.2,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Identifying periods impacted by sewer inflow and infiltration using time series anomaly detection 利用时间序列异常检测确定受下水道流入和渗透影响的时段

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-11-12 DOI: 10.1016/j.wroa.2024.100278

Jingyu Ge , Jiuling Li , Ruihong Qiu , Tao Shi , Zi Huang , Yanchen Liu , Zhiguo Yuan

{"title":"Identifying periods impacted by sewer inflow and infiltration using time series anomaly detection","authors":"Jingyu Ge , Jiuling Li , Ruihong Qiu , Tao Shi , Zi Huang , Yanchen Liu , Zhiguo Yuan","doi":"10.1016/j.wroa.2024.100278","DOIUrl":"10.1016/j.wroa.2024.100278","url":null,"abstract":"<div><div>Accurate diagnosis of sewer inflow and infiltration (I/I) is crucial for ensuring the safe transportation of sewage and the stability of wastewater treatment processes. Identifying periods impacted by I/I is essential for I/I diagnosis, but current methods lack a standard criterion and require adaptation to specific conditions, resulting in low accuracy, complexity, and limited generalizability. This paper proposes a novel approach to distinguish I/I periods from time series of sewer measurements based on anomaly detection theory through an iterative use of a time-series reconstruction model. This method eliminates the need for external data such as rainfalls and avoids intensive manual data analysis. Operating directly on in-sewer data, it enhances accuracy compared to existing approaches and is applicable to various external factors such as rainfall, snowmelt, and seawater intrusion. The method can be applicable to a broad range of monitoring data, including flow rate, temperature, and conductivity. Validated through simulation studies and demonstrated via real-life applications, this method offers an efficient solution for I/I detection, facilitating further I/I diagnosis, including I/I quantification and location identification.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"25 ","pages":"Article 100278"},"PeriodicalIF":7.2,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Effluent quality soft sensor for wastewater treatment plant with ensemble sparse learning-based online next generation reservoir computing 基于集合稀疏学习的在线下一代储层计算的污水处理厂出水水质软传感器

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-11-10 DOI: 10.1016/j.wroa.2024.100276

Gang Fang , Daoping Huang , Zhiying Wu , Yan Chen , Yan Li , Yiqi Liu

{"title":"Effluent quality soft sensor for wastewater treatment plant with ensemble sparse learning-based online next generation reservoir computing","authors":"Gang Fang , Daoping Huang , Zhiying Wu , Yan Chen , Yan Li , Yiqi Liu","doi":"10.1016/j.wroa.2024.100276","DOIUrl":"10.1016/j.wroa.2024.100276","url":null,"abstract":"<div><div>Real-time monitoring of key quality variables is essential and crucial for stable and safe operations of wastewater treatment plants (WWTPs). Next generation reservoir computing (NG-RC) has recently garnered significant attention in quality prediction, such as COD and BOD, as an effective alternative to traditional reservoir computing (RC), then is able to act as a data-driven soft sensor to twin a hardware sensor for quality variable measurements. Unlike RC, NG-RC does not require random sampling matrices to define the weights of recurrent neural networks and has fewer hyperparameters. However, NG-RC is usually used online but trained offline, thus leading to model degradation under dynamic scenarios. This paper proposes a sparse online NG-RC approach to meet the real-time requirements of WWTPs and mitigate the impact of measurement noise on the model. First, inspired by the Woodbury matrix identity, an incremental strategy is designed, using sequentially arriving data blocks to learn the output weights of NG-RC online. Then, an ensemble sparse strategy is combined to alleviate overfitting issues of the prediction model. Moreover, a soft sensor based on the ensemble sparse online NG-RC is developed to perform real-time prediction of quality indicators in wastewater treatment processes. Finally, two datasets from actual WWTPs are used to validate the effectiveness of the proposed model.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"25 ","pages":"Article 100276"},"PeriodicalIF":7.2,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Leveraging multi-level correlations for imputing monitoring data in water supply systems using graph signal sampling theory 利用图信号采样理论，利用多级相关性对供水系统中的监测数据进行归类

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-11-08 DOI: 10.1016/j.wroa.2024.100274

Xiao Zhou , Yacan Man , Shuming Liu , Juan Zhang , Rui Yuan , Wei Wang , Kuizu Su

{"title":"Leveraging multi-level correlations for imputing monitoring data in water supply systems using graph signal sampling theory","authors":"Xiao Zhou , Yacan Man , Shuming Liu , Juan Zhang , Rui Yuan , Wei Wang , Kuizu Su","doi":"10.1016/j.wroa.2024.100274","DOIUrl":"10.1016/j.wroa.2024.100274","url":null,"abstract":"<div><div>Data missing and anomalies in monitoring equipment have become critical barriers to developing intelligent Water Supply Systems (WSS). The valid data preceding and after the missing segments can be utilized to impute missing values. However, traditional imputation methods, such as linear interpolation and prediction-based methods, have limited capacity to use data relationships or can only utilize information before the missing values. Therefore, existing methods still need to work on efficiently and conveniently achieving high-accuracy imputation. According to the continuity and periodicity of WSS data, missing values often exhibit multi-level correlations with valid data. This paper innovatively employs graph structures to analyze the multi-level correlations at different timestamps and applies graph signal sampling algorithms to extract low-frequency features for imputation. A novel Graph-based Data Imputation (GDI) method has been developed, which leverages multi-level correlations to propagate information and completes imputation tasks without requiring complex feature engineering and pre-training processes. Results indicate that GDI outperforms Holt-Winters, Support Vector Regression, and Gated Recurrent Unit in the task of imputing continuous missing data. It can still achieve <span><math><mrow><msup><mrow><mi>R</mi></mrow><mn>2</mn></msup><mo>></mo><mn>0.8</mn></mrow></math></span> even when the proportion of missing values reaches 80 %. These results demonstrate that GDI ensures a more streamlined and efficient imputation with high robustness and accuracy.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"25 ","pages":"Article 100274"},"PeriodicalIF":7.2,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

A hybrid oxidation approach for converting high-strength urine ammonia into ammonium nitrate 将高浓度尿氨转化为硝酸铵的混合氧化法

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-11-06 DOI: 10.1016/j.wroa.2024.100277

Zhiqiang Zuo , Tianyi Zhang , Xin Huang , Xiaotong Cen , Xi Lu , Tao Liu , Ho Kyong Shon , Min Zheng

{"title":"A hybrid oxidation approach for converting high-strength urine ammonia into ammonium nitrate","authors":"Zhiqiang Zuo , Tianyi Zhang , Xin Huang , Xiaotong Cen , Xi Lu , Tao Liu , Ho Kyong Shon , Min Zheng","doi":"10.1016/j.wroa.2024.100277","DOIUrl":"10.1016/j.wroa.2024.100277","url":null,"abstract":"<div><div>Nutrient resources contained in human urine have great potential to alleviate global agricultural fertilizer demand. Microbial nitrification is a recognized strategy for stabilizing urine ammonia into ammonium nitrate, a common fertilizer worldwide, but faces a core bottleneck of process instability due to microbial inhibition. This study reports a new approach by developing a hybrid oxidation process involving three stages—microbial ammonia oxidation, chemical nitrite oxidation and microbial nitrite oxidation. <em>Candidatus</em> Nitrosoglobus, a <em>γ</em>-proteobacterial ammonia oxidizer highly tolerant to free nitrous acid, was introduced in the first stage to oxidize half of the total ammonia in the influent (8 g NH<sub>4</sub><sup>+</sup>-N/L) to nitrite. The nitrite was then chemically oxidized by using hydrogen peroxide via a rapid chemical reaction to form nitrate. The third stage, microbial nitrite oxidation, was employed to ensure the complete removal of residual nitrite following chemical oxidation. The overall concept demonstrated in this work showcased the robust performance of the hybrid system. Moreover, the system also had a dual advantage in achieving antimicrobial ability in the first and second stages, making treated urine a safe fertilizer.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"25 ","pages":"Article 100277"},"PeriodicalIF":7.2,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

Application of organic silicon quaternary ammonium salt (QSA) to reduce carbon footprint of sewers: Long-term inhibition on sulfidogenesis and methanogenesis 应用有机硅季铵盐（QSA）减少下水道的碳足迹：对硫化物生成和甲烷生成的长期抑制作用

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-11-01 DOI: 10.1016/j.wroa.2024.100275

Suwan Dai , Haixiao Guo , Yiming Li , Jiaqi Hou , Yufen Wang , Tingting Zhu , Bing-Jie Ni , Yiwen Liu

{"title":"Application of organic silicon quaternary ammonium salt (QSA) to reduce carbon footprint of sewers: Long-term inhibition on sulfidogenesis and methanogenesis","authors":"Suwan Dai , Haixiao Guo , Yiming Li , Jiaqi Hou , Yufen Wang , Tingting Zhu , Bing-Jie Ni , Yiwen Liu","doi":"10.1016/j.wroa.2024.100275","DOIUrl":"10.1016/j.wroa.2024.100275","url":null,"abstract":"<div><div>Sulfidogenic and methanogenic processes are undesirable in sewer management, yet the derived problems regarding organic losses are often neglected. Traditional chemical dosing methods aimed at sulfide and methane control commonly involve similar mechanisms of oxidation and/or precipitation. Moreover, previous focuses were centered on elevating control efficacy rather than investigating interactions between dosed chemicals and biofilms. In this work, organic silicon quaternary ammonium salt (QSA) of 75 mg-N/L was firstly applied in laboratory pressurized sewer reactors. After three dosing events, it took 20 days for sulfidogenic activities to recover to 50 % without further elevations. Meantime, methanogenic activities were stable ca. 11 % without significant inclinations to recover. Notably, consumption rate of chemical oxygen demand (COD) was suppressed to 50 % at most, and no microbial resistance to QSA but better control efficacy was observed. Characterizations of physicochemistry, microbial community and metabolism were conducted to elucidate mechanisms. Results showed that QSA was attached on sewer biofilms via electrostatic attraction to exert enduring control efficacy. Biofilms tended to become more hydrophobic and compact after QSA exposure. Microbial analyses indicated that relative abundances of microbes regarding hydrolysis, acidogenesis and methanogenesis were sharply decreased together with down-regulation of pivotal enzymatic activities. Additionally, denitrification batch tests initially suggested that the biodegradability of effluent was significantly enhanced, which ensured the safety of QSA dosing into sewers. Overall, results of this work were expected to lay a theoretical foundation on employing QSA to wastewater management.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"25 ","pages":"Article 100275"},"PeriodicalIF":7.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0

A critical review of ultra-violet light emitting diodes as a one water disinfection technology 紫外线发光二极管作为一种水消毒技术的重要评述

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2024-10-30 DOI: 10.1016/j.wroa.2024.100271

Kyle D. Rauch , Sean A. MacIsaac , Bailey Reid , Toni J. Mullin , Ariel J Atkinson , Anthony L Pimentel , Amina K. Stoddart , Karl G. Linden , Graham A. Gagnon

{"title":"A critical review of ultra-violet light emitting diodes as a one water disinfection technology","authors":"Kyle D. Rauch , Sean A. MacIsaac , Bailey Reid , Toni J. Mullin , Ariel J Atkinson , Anthony L Pimentel , Amina K. Stoddart , Karl G. Linden , Graham A. Gagnon","doi":"10.1016/j.wroa.2024.100271","DOIUrl":"10.1016/j.wroa.2024.100271","url":null,"abstract":"<div><div>UV light emitting diode (LED) disinfection technologies have advanced over the last decade and expanded the design space for applications in point of use, industrial, and now full-scale water treatment. This literature review examines the progression of UV LED technologies from 2007 to 2023 using key features such as total optical power, price, and wall-plug efficiency. The review found that optical power is increasing while the price per Watt is decreasing; however, the wall plug energy (WPE) is slowly improving over the last decade. These factors govern the feasibility of many UV LEDs applications and establish the current state of the art for these technologies. An analysis of inactivation rate constants for low-pressure, medium-pressure, and UV LED sources was undertaken and provides a comprehensive view of how current UV LED technologies compare to traditional technologies. This comparison found that UV LEDs perform comparably vs conventional UV technologies when disinfecting bacteria and viruses. Furthermore, comparison of reported reduction equivalent fluences for UV LED flow-through reactors at the bench-, pilot-, and full-scale were explored in this review, and it was found that LED treatment is becoming more effective at handling increased flowrates and has been proven to work at full-scale. UV LEDs do however require additional research into the impacts of water matrices at different wavelengths and the impact that each available LED wavelength has on disinfection. Overall, this work provides a broad assessment of UV disinfection technologies and serves as a state-of-the-art reference document for those who are interested in understanding this rapidly developing technology.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"25 ","pages":"Article 100271"},"PeriodicalIF":7.2,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}

引用次数: 0