Water Research XPub Date : 2026-09-01Epub Date: 2026-06-04DOI: 10.1016/j.wroa.2026.100562
Su-Ok Hwang, Kyung-Hyun Kim, Hyuk Lee, Hans W. Paerl, Baik-Ho Kim
{"title":"Corrigendum to “A Climate-Sensitive, Decision-Linked Multilayer Framework for Early Warning of Harmful Cyanobacterial Blooms: Sequential Cross-Layer Validation for Decision Support” [Water Research X Volume 31 (2026) 100544]","authors":"Su-Ok Hwang, Kyung-Hyun Kim, Hyuk Lee, Hans W. Paerl, Baik-Ho Kim","doi":"10.1016/j.wroa.2026.100562","DOIUrl":"10.1016/j.wroa.2026.100562","url":null,"abstract":"","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"32 ","pages":"Article 100562"},"PeriodicalIF":7.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934420","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}
Water Research XPub Date : 2026-09-01Epub Date: 2026-08-24DOI: 10.1016/j.wroa.2026.100605
Jianlin Chen, Jorge García Molinos, Wenkai Jiang, Xingwei Cai, Songguang Xie, Jun Xu, Min Tang, Huan Wang
{"title":"Fish community homogenization in a tropical insular river: Water pollution and biological invasions as principal contributors to patterns of multidimensional β-diversity","authors":"Jianlin Chen, Jorge García Molinos, Wenkai Jiang, Xingwei Cai, Songguang Xie, Jun Xu, Min Tang, Huan Wang","doi":"10.1016/j.wroa.2026.100605","DOIUrl":"10.1016/j.wroa.2026.100605","url":null,"abstract":"<div><div>Insular river ecosystems are highly vulnerable to anthropogenic disturbances, yet the combined effects of human pressures on fish biodiversity remain poorly understood. Based on spring and autumn 2024 field surveys, we examined taxonomic, phylogenetic, and functional <em>β</em>‑diversity of fish assemblages in the Nandu River, China’s longest insular river. We quantified the contributions of abiotic and biotic factors, including geo‑climatic, local environmental, spatial, and biological invasion factors to community patterns. Results showed a clear longitudinal homogenization trend from upstream to downstream, dominated by species turnover, consistent with community reshaping associated with anthropogenic stressors. Tributaries exhibited taxonomic and phylogenetic homogenization but functional differentiation, revealing adaptive patterns in relation to local stressors. Local environmental factors were the primary contributors to total <em>β</em>‑diversity and its turnover component, with water pollution indicators (COD, total phosphorus) showing the strongest associations. For the nestedness component, biological invasions were the dominant contributors to taxonomic and phylogenetic <em>β</em>‑diversity, whereas functional <em>β</em>‑diversity was primarily associated with local environmental factors. Overall, environmental filtering (mainly contributed by water pollution) outweighed dispersal limitation in structuring fish communities, while biological invasions predominantly affected nestedness patterns. Our findings highlight the contributions of water quality degradation and biological invasions. Additionally, the multidimensional <em>β</em>-diversity framework provides support for local watershed management and offers a transferable ecological assessment method for biodiversity conservation in human-disturbed insular river systems globally.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"32 ","pages":"Article 100605"},"PeriodicalIF":7.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934518","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}
{"title":"A novel ethylene oxide-propylene oxide demulsifier for dewatering of food waste digestate","authors":"Yuyan Lin, Yizhang Jiang, Jinpeng Zhang, Keke Xiao","doi":"10.1016/j.wroa.2026.100606","DOIUrl":"10.1016/j.wroa.2026.100606","url":null,"abstract":"<div><div>Food waste digestate is difficult to dewater due to high salinity and residual oil. This study evaluated an amphiphilic ethylene oxide-propylene oxide (EO-PO) demulsifier for dewatering of food waste digestate by comparing with other methods (e.g., polyacrylamide (PAM), polyaluminium chloride (PAC), Fe(II)-Oxone, and polyethylene oxide (PEO)). EO-PO conditioning showed the highest improvement in filterability, with 87% reduction of capillary suction time (CST) and 93% reduction of specific resistance to filtration (SRF) compared with raw sample (RS). In contrast, PAM, PAC, Fe(II)-Oxone, and PEO showed limited CST and SRF reduction efficiencies. The superiority of EO-PO in dewatering was further testified by results of bound water, median particle size, zeta potential, compressibility, filtrate mass, water content of dewatered cake, and rheological properties. Moreover, the addition of EO-PO shifted the predominant organic component from hydrophilic substances to hydrophobic acidic organic matter. It also increased the proportion of C–CH<sub>3</sub> (nonpolar carbon groups) and decreased the proportion of C–OH (hydrophilic hydroxyl groups). The second minimum value and Lewis acid-base interaction energy of the EO-PO treated digestate were markedly larger than those of other conditioning methods, indicating a stronger tendency for digestate particles to aggregate. EO-PO transformed the filter cake from isolated pores into a connected pore network, increasing total porosity from 1.36% of RS to 13.54% and reducing tortuosity from 1.46 of RS to 1.04. Further analysis indicated EO-PO demulsifier as a dewatering agent was economically feasible and environmentally friendly. This study proposed a novel EO-PO demulsifier method for enhancing digestate dewatering.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"32 ","pages":"Article 100606"},"PeriodicalIF":7.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148934419","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}
{"title":"Cosubstrate-dependent modulation of anaerobic azo dye decolorization under conductive and non-conductive conditions","authors":"Thu Huong Nguyen , Taira Hidaka , Masashi Hatamoto , Tomoki Setoguchi , Minh Duc Tran , Takahiro Watari , Takashi Yamaguchi","doi":"10.1016/j.wroa.2026.100519","DOIUrl":"10.1016/j.wroa.2026.100519","url":null,"abstract":"<div><div>Cosubstrate type is a key factor shaping decolorization behavior, while magnetite (Fe<sub>3</sub>O<sub>4</sub>) is recognized as an electron transfer facilitator in anaerobic dye treatment systems. This study elucidated how cosubstrate type and Fe<sub>3</sub>O<sub>4</sub> jointly influence anaerobic azo dye decolorization through batch and continuous experiments. In batch tests, five cosubstrates were comparatively evaluated for their decolorization performance under Fe<sub>3</sub>O<sub>4</sub>-free and Fe<sub>3</sub>O<sub>4</sub>-amended conditions. Complex cosubstrates (glucose and starch) likely favored enzyme-associated azo reduction, whereas simpler cosubstrates (ethanol, acetate, and propionate) exhibited decolorization patterns consistent with enhanced extracellular electron transfer (EET), particularly in the presence of Fe<sub>3</sub>O<sub>4</sub>. Ethanol achieved 85–95% decolorization efficiency and was identified as the most effective cosubstrate-Fe<sub>3</sub>O<sub>4</sub> combination. In continuous operation, ethanol maintained stable decolorization over 235 days, and Fe<sub>3</sub>O<sub>4</sub> addition further enhanced performance by 15%. A methanogenic activity assay confirmed that the acetoclastic pathway remained stable, while conductive conditions likely enabled additional electron-utilization pathways, such as EET, allowing concurrent methane production and dye reduction. Microbial and predicted functional analyses revealed enrichment of putative EET-associated taxa (e.g., <em>Geobacter, Desulfovibrio, Pseudomonas, Methanosarcina</em>, and <em>Methanobacterium</em>). This shift was accompanied by increased abundances of EET-related genes (1.5–2.3-fold) and reduced abundances of azoreductase-related genes (1.6-fold), supporting a transition toward EET-associated decolorization under conductive conditions. These findings highlight the synergistic role of cosubstrate selection and conductive materials in regulating decolorization behavior, offering practical insights for optimizing anaerobic dye wastewater treatment.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"31 ","pages":"Article 100519"},"PeriodicalIF":8.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Water Research XPub Date : 2026-05-01Epub Date: 2026-02-20DOI: 10.1016/j.wroa.2026.100514
Avner Adin , David L Sedlak , Kara L Nelson , David Zilberman , Eric Rozenblum , Gary H Wolff , Val S Frenkel , Kartik Chandran , Liron J Friedman
{"title":"Making waves: One Water quality standardization concept – A leap for sustainable water management","authors":"Avner Adin , David L Sedlak , Kara L Nelson , David Zilberman , Eric Rozenblum , Gary H Wolff , Val S Frenkel , Kartik Chandran , Liron J Friedman","doi":"10.1016/j.wroa.2026.100514","DOIUrl":"10.1016/j.wroa.2026.100514","url":null,"abstract":"<div><div>Current water management frameworks are often disjointed, failing to consider the full range of potential water uses. This fragmentation leads to inconsistent regulations; for example, potable water production from wastewater often faces stricter quality standards than water sourced from even wastewater-impacted surface waters. This article proposes a use-based approach to water management, developing water quality standards that account for the economic, public health, and ecological needs of downstream users. We advocate for expanding the concept of water quality from simple pollutant removal to “building water” to match the needs of users, so desired constituents are either left in the source water or added to treated water to meet specific user needs. This strategy requires a multidimensional, risk-based regulatory framework, supported by advances in data science and affordable measurement tools for effective enforcement. Such advancement enables a move beyond binary standards to foster sustainable global water resource management and mitigate scarcity.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"31 ","pages":"Article 100514"},"PeriodicalIF":8.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Water Research XPub Date : 2026-05-01Epub Date: 2026-04-30DOI: 10.1016/j.wroa.2026.100547
Wenhao Li , Ning Fang , Junfeng Zhang , Yalin Yu , Xiankai Wang , Dongdong Ge
{"title":"Waste sludge conditioning for the enhanced dewaterability: A review of key factors, significant methods, post-disposal paths, and artificial intelligence integration","authors":"Wenhao Li , Ning Fang , Junfeng Zhang , Yalin Yu , Xiankai Wang , Dongdong Ge","doi":"10.1016/j.wroa.2026.100547","DOIUrl":"10.1016/j.wroa.2026.100547","url":null,"abstract":"<div><div>Large quantities of waste sludge (WS) have become a significant challenge and raised widespread concerns in China. Sludge dewatering is a critical step in reducing sludge volume, which has become the current focus in sludge treatment and management. This paper reviewed the key factors influencing sludge dewaterability, significant methods of sludge conditioning, typical post-disposal after sludge dewatering, and artificial intelligence (AI) integration technology application. Zeta potential, particle size, rheological behavior, hydrophobicity, extracellular polymeric substances (EPS) (including composition and content, spatial conformation, molecular weight, and fluorescent component), functional groups, and flocs morphology are considered to govern sludge dewaterability jointly. Especially, EPS properties are considered the central determinant controlling sludge dewaterability. Various physical, chemical, and biological conditioning methods are comprehensively discussed, and combined conditioning techniques present better dewatering performance. As to post-disposal after dewatering, the filtrate is suitable as a carbon source for returning to the biological pool, while N and P are recycled. The principle of site-specific recommendations is suggested for the ultimate disposal of sludge in different regions of China, and incineration and land application are mainstream in the future. Presently, the exploitation of rapid, efficient, and AI-integrated sludge deep-dewatering technology is still a challenge in China.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"31 ","pages":"Article 100547"},"PeriodicalIF":8.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147849506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Water Research XPub Date : 2026-05-01Epub Date: 2026-04-19DOI: 10.1016/j.wroa.2026.100544
Su-Ok Hwang , Kyung-Hyun Kim , Hyuk Lee , Hans W. Paerl , Baik-Ho Kim
{"title":"A climate-sensitive, decision-linked multilayer framework for early warning of harmful cyanobacterial blooms: Sequential cross-layer validation for decision support","authors":"Su-Ok Hwang , Kyung-Hyun Kim , Hyuk Lee , Hans W. Paerl , Baik-Ho Kim","doi":"10.1016/j.wroa.2026.100544","DOIUrl":"10.1016/j.wroa.2026.100544","url":null,"abstract":"<div><div>Harmful cyanobacterial blooms (CyanoHABs) are intensifying worldwide due to nutrient enrichment, hydrological alteration, and climate-driven extremes, yet freshwater monitoring and early-warning systems remain fragmented, limiting timely and consistent decision-making. Here, we present a climate-sensitive, decision-linked multilayer framework that integrates real-time photopigment sensing, high-frequency phenotypic imaging, molecular and toxin confirmation, and basin-scale satellite–model fusion. The framework operationalizes multimodal integration through climate-adaptive sampling, uncertainty-aware data fusion, and escalation-based decision logic within a unified system architecture. A key innovation is the incorporation of phycoerythrin-sensitive, depth-resolved indicators, enabling early detection of metalimnetic taxa such as <em>Planktothrix rubescens</em>, which are often overlooked by conventional approaches. Comparative analyses indicate that sequential cross-layer validation (L1–L4) reduces time-to-decision and improves advisory confidence relative to single-modality monitoring. Collectively, this framework establishes CyanoHAB monitoring as an operational decision-support system, providing a scalable pathway toward proactive, climate-resilient water governance.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"31 ","pages":"Article 100544"},"PeriodicalIF":8.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147849507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Water Research XPub Date : 2026-05-01Epub Date: 2026-05-05DOI: 10.1016/j.wroa.2026.100548
Chen Du , Huashu Zeng , Xinyue Li , Chunli Wu , Yalan Huang , Fan Yang , Congrui Guo , Liangcai Xu , Lingling Li , Zhaohai Liang , Miaomiao Luo , Miaoling Chen , Lei Wang , Yaqun Qiu , Jia Wan , Yanpeng Cheng , Zhigao Chen , Dongfeng Kong , Zhen Zhang , Xiaolu Shi , Yinghui Li
{"title":"Assessing wastewater detection limit for dengue virus via urinary and fecal shedding modeling","authors":"Chen Du , Huashu Zeng , Xinyue Li , Chunli Wu , Yalan Huang , Fan Yang , Congrui Guo , Liangcai Xu , Lingling Li , Zhaohai Liang , Miaomiao Luo , Miaoling Chen , Lei Wang , Yaqun Qiu , Jia Wan , Yanpeng Cheng , Zhigao Chen , Dongfeng Kong , Zhen Zhang , Xiaolu Shi , Yinghui Li","doi":"10.1016/j.wroa.2026.100548","DOIUrl":"10.1016/j.wroa.2026.100548","url":null,"abstract":"<div><div>Dengue virus (DENV), the most clinically significant arbovirus, represents a growing global public health concern. The true incidence of DENV infection is likely underestimated, as more than half of infections are asymptomatic and therefore unreported. Wastewater-based surveillance (WBS) has emerged as an effective approach for monitoring enteric and respiratory viruses with substantial asymptomatic infections, yet critical knowledge gaps remain regarding the extent of arboviral shedding into wastewater, especially that from asymptomatic individuals. In this study, urinary and fecal DENV RNA shedding loads were quantified in both symptomatic and asymptomatic infections to evaluate their relative contributions to wastewater signals. Three RNA extraction methods were first compared to identify the most effective protocol for processing urine and fecal samples, after which a large-volume extraction approach was applied. Using this optimized method, DENV RNA was detected in 11% (8/71) of the fecal samples, providing the first evidence of DENV detection in human feces. Specifically, urine represented the predominant route of DENV RNA shedding, with symptomatic infections exhibiting higher urinary RNA detection rates (82%vs 57%, <em>p</em> = 0.019) and viral loads (mean 471 vs 102 copies/mL, <em>p</em> = 0.007) than asymptomatic infections. Monte Carlo simulations further indicated that a minimum infection rate of 4% is required to ensure DENV detection in wastewater, providing critical insights for selecting optimal sampling locations and wastewater processing volumes. These findings establish an evidence-based framework for assessing the feasibility of DENV detection through WBS and provide a scalable approach to optimize environmental surveillance design in resource-limited settings, supporting earlier outbreak detection and strengthening global public health responses to dengue and other arboviral diseases.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"31 ","pages":"Article 100548"},"PeriodicalIF":8.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147945074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Water Research XPub Date : 2026-05-01Epub Date: 2026-05-14DOI: 10.1016/j.wroa.2026.100556
Verena Levy Sturm, Shai Arnon
{"title":"The effects of stream bed motion and fiber length on microplastic deposition","authors":"Verena Levy Sturm, Shai Arnon","doi":"10.1016/j.wroa.2026.100556","DOIUrl":"10.1016/j.wroa.2026.100556","url":null,"abstract":"<div><div>The key processes controlling the transport and deposition of microplastics (MP) in streams and rivers remain poorly understood, particularly under conditions with moving sediments. Experiments were conducted in a 6 m-long and 0.2 m-wide stainless-steel recirculating flume filled with 25 cm of sand (median grain size of 0.6 mm) and water. We conducted two main experiments at stream water velocities of 13 and 53 cm/s, which resulted in stationary and moving bedforms, respectively. MP particles were added to the stream water, and the rates of MP deposition were determined by monitoring the decrease in their concentration over time. The tested MPs included polypropylene (PP) fibers with a diameter of 25 μm and lengths of 25, 100, 200, and 2000 μm. We also used carboxylated polystyrene (PS) microspheres (1 μm) that served as a reference particle. MP fibers deposited faster and with less resuspension under stationary bedforms as compared to moving bedforms. Furthermore, increasing the lengths of MP fibers resulted in more deposition under moving bedforms but did not have a significant effect under stationary bedforms. In contrast to the fibers, the microspheres had approximately the same amount of deposition under stationary and moving bedforms at the end of the experiment. Understanding and identifying key processes that control MP deposition in streams with moving bedforms will enhance our ability to predict their transport mechanisms, providing also crucial insights for evaluating risks to benthic organisms.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"31 ","pages":"Article 100556"},"PeriodicalIF":8.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}