Water Research X最新文献

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Making waves: Knowledge and data fusion in urban water modelling 掀起波澜:城市水资源建模中的知识与数据融合
IF 7.2 2区 环境科学与生态学
Water Research X Pub Date : 2024-07-04 DOI: 10.1016/j.wroa.2024.100234
Haoran Duan , Jiuling Li , Zhiguo Yuan
{"title":"Making waves: Knowledge and data fusion in urban water modelling","authors":"Haoran Duan ,&nbsp;Jiuling Li ,&nbsp;Zhiguo Yuan","doi":"10.1016/j.wroa.2024.100234","DOIUrl":"https://doi.org/10.1016/j.wroa.2024.100234","url":null,"abstract":"<div><p>Mathematical modeling plays a crucial role in understanding and managing urban water systems (UWS), with mechanistic models often serving as the foundation for their design and operations. Despite the wide adoptions, mechanistic models are challenged by the complexity of dynamic processes and high computational demands. Data-driven models bring opportunities to capture system complexities and reduce computational cost, by leveraging the abundant data made available by recent advance in sensor technologies. However, the interpretability and data availability hinder their wider adoption. This paper advocates for a paradigm shift in the application of data-driven models within the context of UWS. Integrating existing mechanistic knowledge into data-driven modeling offers a unique solution that reduces data requirements and enhances model interpretability. The knowledge-informed approach balances model complexity with dataset size, enabling more efficient and interpretable modeling in UWS. Furthermore, the integration of mechanistic and data-driven models offers a more accurate representation of UWS dynamics, addressing lingering uncertainties and advancing modelling capabilities. This paper presents perspectives and conceptual framework on developing and implementing knowledge-informed data-driven modeling, highlighting their potential to improve UWS management in the digital era.</p></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"24 ","pages":"Article 100234"},"PeriodicalIF":7.2,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589914724000240/pdfft?md5=7547a82c02c770eb6c31d650de7b1969&pid=1-s2.0-S2589914724000240-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141592853","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: Xanthates on the radar – Environmental risks and water quality impact 掀起波澜:雷达上的黄腐酸 - 环境风险和对水质的影响
IF 7.2 2区 环境科学与生态学
Water Research X Pub Date : 2024-07-03 DOI: 10.1016/j.wroa.2024.100232
Daniel J. Duarte , Renske P.J. Hoondert , Elvio D. Amato , Milou M.L. Dingemans , Stefan A.E. Kools
{"title":"Making waves: Xanthates on the radar – Environmental risks and water quality impact","authors":"Daniel J. Duarte ,&nbsp;Renske P.J. Hoondert ,&nbsp;Elvio D. Amato ,&nbsp;Milou M.L. Dingemans ,&nbsp;Stefan A.E. Kools","doi":"10.1016/j.wroa.2024.100232","DOIUrl":"https://doi.org/10.1016/j.wroa.2024.100232","url":null,"abstract":"<div><p>Xanthates, derivatives of xanthic acid, are widely utilized across industries such as agrochemicals, rubber processing, pharmaceuticals, metallurgical, paper and mining to help separate metals from ore. Despite their prevalent use, many registered xanthates lack comprehensive information on potential risks to human health and the environment. The mining sector, a significant consumer of xanthates, drives demand. However, emissions into the environment remain poorly understood, especially concerning water quality. A recent EU parliamentary voting on water legislation highlights the urgency to address water pollution and the potential toxicity of xanthates. While limited data exist on xanthate presence in the environment, existing studies indicate their toxicity and contribution to environmental pollution, primarily due to carbon disulfide, a decomposition product. Concerns are mounting over the release of xanthates and carbon disulfide, particularly in mining areas near populated regions and river tributaries, raising questions about downstream impacts and public health risks. Proposed expansions of xanthate-reliant mining activities in Europe, heighten concerns about emissions and water quality impacts. Current databases lack xanthate-related monitoring data, hindering environmental and health risk assessments. Addressing this gap requires water sampling and chemical analysis and investigations into the use, occurrence, and potential impacts of xanthates from industrial activities on water bodies, including those used for drinking water production is imperative.</p></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"24 ","pages":"Article 100232"},"PeriodicalIF":7.2,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589914724000227/pdfft?md5=96c18b61dc94d92e140dc654a4d20bb3&pid=1-s2.0-S2589914724000227-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141592844","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
Effects of functional groups of polyfluoroalkyl substances on their removal by nanofiltration 多氟烷基物质的官能团对纳米过滤法去除多氟烷基物质的影响
IF 7.2 2区 环境科学与生态学
Water Research X Pub Date : 2024-07-03 DOI: 10.1016/j.wroa.2024.100233
Takahiro Fujioka , Haruka Takeuchi , Hironobu Tahara , Hiroto Murakami , Sandrine Boivin
{"title":"Effects of functional groups of polyfluoroalkyl substances on their removal by nanofiltration","authors":"Takahiro Fujioka ,&nbsp;Haruka Takeuchi ,&nbsp;Hironobu Tahara ,&nbsp;Hiroto Murakami ,&nbsp;Sandrine Boivin","doi":"10.1016/j.wroa.2024.100233","DOIUrl":"https://doi.org/10.1016/j.wroa.2024.100233","url":null,"abstract":"<div><p>Determining the reliability of nanofiltration (NF) membranes for the removal of contaminants of emerging concern, including polyfluoroalkyl substances (PFASs), pharmaceuticals, and personal care products (PPCPs), is important for ensuring drinking water safety. This study aimed to clarify the factors that influence the removal of nine major PFASs during submerged NF treatment via extrapolation based on the factors that influence PPCP removal. The rejection of nine PFASs in ultra-filtered dam water by a polypiperazine-amide (NF270) membrane increased from 71 % to 94 % at a low permeate flux of 5 L/m<sup>2</sup> h as the PFAS molecular dimensions increased. PFASs with a carboxylic acid (-CO<sub>2</sub>H) were rejected to a greater extent than PFASs with a sulfo group (-SO<sub>3</sub>H). Further, negatively charged PFASs or PPCPs were rejected to a greater extent than uncharged and positively charged PPCPs. Our findings suggest that the rejection of PFASs can vary because of the (i) clearance distance between the PFASs’ molecular dimensions and NF membrane pore diameter and (ii) intensity of electrostatic repulsion between the PFASs’ functional groups and NF membrane surface. Our study indicates that submerged NF can achieve high PFAS rejection; however, variations in rejection among PFASs can become more prominent owing to a low permeate flux.</p></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"24 ","pages":"Article 100233"},"PeriodicalIF":7.2,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589914724000239/pdfft?md5=71f281c41a8dd48fa2feac61650f96f8&pid=1-s2.0-S2589914724000239-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141592852","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
Nitrite-dependent microbial utilization for simultaneous removal of sulfide and methane in sewers 利用亚硝酸盐微生物同时去除下水道中的硫化物和甲烷
IF 7.2 2区 环境科学与生态学
Water Research X Pub Date : 2024-06-30 DOI: 10.1016/j.wroa.2024.100231
Zhiqiang Zuo , Yaxin Xing , Xi Lu , Tao Liu , Min Zheng , Miao Guo , Yanchen Liu , Xia Huang
{"title":"Nitrite-dependent microbial utilization for simultaneous removal of sulfide and methane in sewers","authors":"Zhiqiang Zuo ,&nbsp;Yaxin Xing ,&nbsp;Xi Lu ,&nbsp;Tao Liu ,&nbsp;Min Zheng ,&nbsp;Miao Guo ,&nbsp;Yanchen Liu ,&nbsp;Xia Huang","doi":"10.1016/j.wroa.2024.100231","DOIUrl":"https://doi.org/10.1016/j.wroa.2024.100231","url":null,"abstract":"<div><p>Chemicals are commonly dosed in sewer systems to reduce the emission of hydrogen sulfide (H<sub>2</sub>S) and methane (CH<sub>4</sub>), incurring high costs and environmental concerns. Nitrite dosing is a promising approach as nitrite can be produced from urine wastewater, which is a feasible integrated water management strategy. However, nitrite dosing usually requires strict conditions, e.g., relatively high nitrite concentration (e.g., ∼200 mg N/L) and acidic environment, to inhibit microorganisms. In contrast to “microbial inhibition”, this study proposes “microbial utilization” concept, i.e., utilizing nitrite as a substrate for H<sub>2</sub>S and CH<sub>4</sub> consumption in sewer. In a laboratory-scale sewer reactor, nitrite at a relatively low concentrations of 25–48 mg N/L was continuously dosed. Two nitrite-dependent microbial utilization processes, i.e., nitrite-dependent anaerobic methane oxidation (n-DAMO) and microbial sulfide oxidation, successfully occurred in conjunction with nitrite reduction. The occurrence of both processes achieved a 58 % reduction in dissolved methane and over 90 % sulfide removal in the sewer reactor, with microbial activities measured as 15.6 mg CH<sub>4</sub>/(L·h) and 29.4 mg S/(L·h), respectively. High copy numbers of n-DAMO bacteria and sulfide-oxidizing bacteria (SOB) were detected in both sewer biofilms and sediments. Mechanism analysis confirmed that the dosed nitrite at a relatively low level did not cause the inhibition of sulfidogenic process due to the downward migration of activity zones in sewer sediments. Therefore, the proposed “microbial utilization” concept offers a new alternative for simultaneous removal of sulfide and methane in sewers.</p></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"24 ","pages":"Article 100231"},"PeriodicalIF":7.2,"publicationDate":"2024-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589914724000215/pdfft?md5=501c1baaa975fd01ab4f95af98e74218&pid=1-s2.0-S2589914724000215-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141592849","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
Wastewater tiling amplicon sequencing in sentinel sites reveals longitudinal dynamics of SARS-CoV-2 variants prevalence 前哨站点的废水 Tiling 扩增子测序揭示了 SARS-CoV-2 变异株流行的纵向动态变化
IF 7.5 2区 环境科学与生态学
Water Research X Pub Date : 2024-05-01 DOI: 10.1016/j.wroa.2024.100224
Yu Wang , Gaofeng Ni , Wei Tian , Haofei Wang , Jiaying Li , Phong Thai , Phil M. Choi , Greg Jackson , Shihu Hu , Bicheng Yang , Jianhua Guo
{"title":"Wastewater tiling amplicon sequencing in sentinel sites reveals longitudinal dynamics of SARS-CoV-2 variants prevalence","authors":"Yu Wang ,&nbsp;Gaofeng Ni ,&nbsp;Wei Tian ,&nbsp;Haofei Wang ,&nbsp;Jiaying Li ,&nbsp;Phong Thai ,&nbsp;Phil M. Choi ,&nbsp;Greg Jackson ,&nbsp;Shihu Hu ,&nbsp;Bicheng Yang ,&nbsp;Jianhua Guo","doi":"10.1016/j.wroa.2024.100224","DOIUrl":"10.1016/j.wroa.2024.100224","url":null,"abstract":"<div><p>The ongoing evolution of SARS-CoV-2 is a significant concern, especially with the decrease in clinical sequencing efforts, which impedes the ability of public health sectors to prepare for the emergence of new variants and potential COVID-19 outbreaks. Wastewater-based epidemiology (WBE) has been proposed as a surveillance program to detect and monitor the SARS-CoV-2 variants being transmitted in communities. However, research is limited in evaluating the effectiveness of wastewater collection at sentinel sites for monitoring disease prevalence and variant dynamics, especially in terms of inferring the epidemic patterns on a broader scale, such as at the state/province level. This study utilized a multiplexed tiling amplicon-based sequencing (ATOPlex) to track the longitudinal dynamics of variant of concern (VOC) in wastewater collected from municipalities in Queensland, Australia, spanning from 2020 to 2022. We demonstrated that wastewater epidemiology measured by ATOPlex exhibited a strong and consistent correlation with the number of daily confirmed cases. The VOC dynamics observed in wastewater closely aligned with the dynamic profile reported by clinical sequencing. Wastewater sequencing has the potential to provide early warning information for emerging variants. These findings suggest that WBE at sentinel sites, coupled with sensitive sequencing methods, provides a reliable and long-term disease surveillance strategy.</p></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"23 ","pages":"Article 100224"},"PeriodicalIF":7.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589914724000148/pdfft?md5=86077133f51aff3299a64bfbe8fae06c&pid=1-s2.0-S2589914724000148-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140764988","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
Integrating machine learning algorithm with sewer process model to realize swift prediction and real-time control of H2S pollution in sewer systems 将机器学习算法与下水道工艺模型相结合,实现下水道系统 H2S 污染的快速预测和实时控制
IF 7.2 2区 环境科学与生态学
Water Research X Pub Date : 2024-05-01 DOI: 10.1016/j.wroa.2024.100230
Zhensheng Liang , Wenlang Xie , Hao Li , Yu Li , Feng Jiang
{"title":"Integrating machine learning algorithm with sewer process model to realize swift prediction and real-time control of H2S pollution in sewer systems","authors":"Zhensheng Liang ,&nbsp;Wenlang Xie ,&nbsp;Hao Li ,&nbsp;Yu Li ,&nbsp;Feng Jiang","doi":"10.1016/j.wroa.2024.100230","DOIUrl":"https://doi.org/10.1016/j.wroa.2024.100230","url":null,"abstract":"<div><p>The frequent occurrence of safety incidents in sewer systems due to the emergency toxicity of hydrogen sulfide (H<sub>2</sub>S) necessitate timely and efficient prediction, early warning and real-time control. However, various factors influencing H<sub>2</sub>S generation and emission leads to a substantial computational burden for the existing dynamic sewer process models and fails to timely control the H<sub>2</sub>S exposure risk. The present study proposed a swift prediction model (SPM) that combined the validated dynamic sewer process model (the biofilm-initiated sewer process model, BISM) with a high-speed machine learning algorithm (MLA), achieving accurately and swiftly predict the dissolved sulfide (DS) concentration and H<sub>2</sub>S concentration in a specific sewer network. Based on Gradient Boosting Decision Tree-based SPM, the simulated concentrations of DS and H<sub>2</sub>S are 1.95 mg S/L and 214 ppm, respectively, which are closely to the field-measured values of 1.82 mg S/L and 219 ppm. Notably, SPM achieved a computation time of less than 0.3 s, and a significant improvement over BISM (&gt; 5000 s) for the same task. Moreover, the real-time and dynamic dosing scheme facilitated by SPM outperformed the conventional constant dosing scheme provided by dynamic sewer process model, which significantly improved the H<sub>2</sub>S control completion rate from 69 % to 100 %, and achieved a significant reduction in chemical dosage. In conclusion, the integration of dynamic sewer process models with MLA addresses the inadequacy of monitoring data for MLA training, and thus pursues swift prediction of H<sub>2</sub>S generation and emission, and achieving real-time, effective, and economic control of H<sub>2</sub>S in complex sewer networks.</p></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"23 ","pages":"Article 100230"},"PeriodicalIF":7.2,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589914724000203/pdfft?md5=0edea718d98cc6fde946a30b883daf5b&pid=1-s2.0-S2589914724000203-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141485222","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
Ultraviolet technology application in urban water supply and wastewater treatment in China: Issues, challenges and future directions 紫外线技术在中国城市供水和污水处理中的应用:问题、挑战和未来方向
IF 7.5 2区 环境科学与生态学
Water Research X Pub Date : 2024-05-01 DOI: 10.1016/j.wroa.2024.100225
Wenjun Sun , Xiuwei Ao , Dongming Lu , Yuanna Zhang , Yanei Xue , Siyuan He , Xi Zhang , Ted Mao
{"title":"Ultraviolet technology application in urban water supply and wastewater treatment in China: Issues, challenges and future directions","authors":"Wenjun Sun ,&nbsp;Xiuwei Ao ,&nbsp;Dongming Lu ,&nbsp;Yuanna Zhang ,&nbsp;Yanei Xue ,&nbsp;Siyuan He ,&nbsp;Xi Zhang ,&nbsp;Ted Mao","doi":"10.1016/j.wroa.2024.100225","DOIUrl":"https://doi.org/10.1016/j.wroa.2024.100225","url":null,"abstract":"<div><p>This study thoroughly explores the application of Ultraviolet (UV) water treatment technology in urban wastewater treatment and water supply in China, highlighting its crucial role in enhancing water quality safety. UV technology, with its environmentally friendly and low-carbon characteristics, is deemed more in line with the demands of sustainable development compared to traditional chemical disinfection methods. The widespread application of UV technology in urban wastewater treatment in China, particularly in the context of urban sewage treatment, is examined. However, to better promote and apply UV technology, there is a need to deepen the understanding of this technology and its application among a broad base of users and design units. The importance of gaining in-depth knowledge about the performance of UV water treatment equipment, the design calculation basis, and operational considerations, as well as the ongoing development of relevant standards, is underscored to ensure that the equipment used in projects complies with engineering design and production requirements. Furthermore, the positive trend of UV technology in the field of advanced oxidation, indicating a promising trajectory for engineering applications, is pointed out. Regarding the prospects of industrial development, a thorough analysis is conducted in the article, emphasizing the necessity for all stakeholders to collaborate and adopt a multi-level approach to promote the sustainable development and application of UV water treatment technology. This collaborative effort is crucial for providing effective safeguards for China's environment, ecology, and human health.</p></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"23 ","pages":"Article 100225"},"PeriodicalIF":7.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S258991472400015X/pdfft?md5=7e5b3a95e8a05c9973a49094dcf8d922&pid=1-s2.0-S258991472400015X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140815119","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
Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models 通过整合深度学习和基于物理的流域模型,对地下水和地表水状况进行时空估算
IF 7.5 2区 环境科学与生态学
Water Research X Pub Date : 2024-05-01 DOI: 10.1016/j.wroa.2024.100228
Soobin Kim , Eunhee Lee , Hyoun-Tae Hwang , JongCheol Pyo , Daeun Yun , Sang-Soo Baek , Kyung Hwa Cho
{"title":"Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models","authors":"Soobin Kim ,&nbsp;Eunhee Lee ,&nbsp;Hyoun-Tae Hwang ,&nbsp;JongCheol Pyo ,&nbsp;Daeun Yun ,&nbsp;Sang-Soo Baek ,&nbsp;Kyung Hwa Cho","doi":"10.1016/j.wroa.2024.100228","DOIUrl":"10.1016/j.wroa.2024.100228","url":null,"abstract":"<div><p>The impacts of climate change on hydrology underscore the urgency of understanding watershed hydrological patterns for sustainable water resource management. The conventional physics-based fully distributed hydrological models are limited due to computational demands, particularly in the case of large-scale watersheds. Deep learning (DL) offers a promising solution for handling large datasets and extracting intricate data relationships. Here, we propose a DL modeling framework, incorporating convolutional neural networks (CNNs) to efficiently replicate physics-based model outputs at high spatial resolution. The goal was to estimate groundwater head and surface water depth in the Sabgyo Stream Watershed, South Korea. The model datasets consisted of input variables, including elevation, land cover, soil type, evapotranspiration, rainfall, and initial hydrological conditions. The initial conditions and target data were obtained from the fully distributed hydrological model HydroGeoSphere (HGS), whereas the other inputs were actual measurements in the field. By optimizing the training sample size, input design, CNN structure, and hyperparameters, we found that CNNs with residual architectures (ResNets) yielded superior performance. The optimal DL model reduces computation time by 45 times compared to the HGS model for monthly hydrological estimations over five years (RMSE 2.35 and 0.29 m for groundwater and surface water, respectively). In addition, our DL framework explored the predictive capabilities of hydrological responses to future climate scenarios. Although the proposed model is cost-effective for hydrological simulations, further enhancements are needed to improve the accuracy of long-term predictions. Ultimately, the proposed DL framework has the potential to facilitate decision-making, particularly in large-scale and complex watersheds.</p></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"23 ","pages":"Article 100228"},"PeriodicalIF":7.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589914724000185/pdfft?md5=f3b239f09128177971f5235f73909650&pid=1-s2.0-S2589914724000185-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141050653","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
The ciliate Euplotes balteatus is resistant to Paralytic Shellfish Toxins from Alexandrium minutum (Dinophyceae) 纤毛虫 Euplotes balteatus 对来自小亚历山大虫(鼎叶目)的麻痹性贝类毒素具有抗性
IF 7.2 2区 环境科学与生态学
Water Research X Pub Date : 2024-05-01 DOI: 10.1016/j.wroa.2024.100229
Jing Li , Jinrong Wang , Xiuping He , Haifeng Gu , Xin Xu , Chen Liang , Yongchao Wang , Xiao Xu , Linxuan Jia , Junhui Chen , Miaohua Jiang , Jianming Chen
{"title":"The ciliate Euplotes balteatus is resistant to Paralytic Shellfish Toxins from Alexandrium minutum (Dinophyceae)","authors":"Jing Li ,&nbsp;Jinrong Wang ,&nbsp;Xiuping He ,&nbsp;Haifeng Gu ,&nbsp;Xin Xu ,&nbsp;Chen Liang ,&nbsp;Yongchao Wang ,&nbsp;Xiao Xu ,&nbsp;Linxuan Jia ,&nbsp;Junhui Chen ,&nbsp;Miaohua Jiang ,&nbsp;Jianming Chen","doi":"10.1016/j.wroa.2024.100229","DOIUrl":"10.1016/j.wroa.2024.100229","url":null,"abstract":"<div><p>Research on interactions between grazers and toxigenic algae is fundamental for understanding toxin dynamics within aquatic ecosystems and developing biotic approaches to mitigate harmful algal blooms. The dinoflagellate <em>Alexandrium minutum</em> is a well-known microalga responsible for paralytic shellfish toxins (PSTs) contamination in many coastal regions worldwide. This study investigated the impact of the ciliate <em>Euplotes balteatus</em> on cell density and PSTs transfer in simulated <em>A. minutum</em> blooms under controlled conditions. <em>E. balteatus</em> exhibited resistance to the PSTs produced by <em>A. minutum</em> with a density of up to 10,000 cells/mL, sustaining growth and reproduction while eliminating algal cells within a few days. The cellular PSTs content of <em>A. minutum</em> increased in response to the grazing pressure from <em>E. balteatus</em>. However, due to the substantial reduction in density, the overall toxicity of the algal population decreased to a negligible level. Most PSTs contained within algal cells were temporarily accumulated in <em>E. balteatus</em> before being released into the water column, suggesting unclear mechanisms for PSTs excretion in unicellular grazers. In principle, the grazing of <em>E. balteatus</em> on <em>A. minutum</em> promotes the transfer of the majority of intracellular PSTs into extracellular portions, thereby mitigating the risk of their accumulation and contamination through marine trophic pathways. However, this process also introduces an increase in the potential environmental hazards posed by extracellular PSTs to some extent.</p></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"23 ","pages":"Article 100229"},"PeriodicalIF":7.2,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589914724000197/pdfft?md5=0f6658283a799cc89084b031d9cb77f4&pid=1-s2.0-S2589914724000197-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141393416","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
Benchmarks for urine volume generation and phosphorus mass recovery in commercial and institutional buildings 商业和机构建筑的尿量产生和磷质量回收基准
IF 7.5 2区 环境科学与生态学
Water Research X Pub Date : 2024-05-01 DOI: 10.1016/j.wroa.2024.100227
Lucas Crane , Ashton Merck , Shwetha Delanthamajalu , Khara Grieger , Anna-Maria Marshall , Treavor H. Boyer
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