Water Research X最新文献

Revealing critical pipes in water networks through integrated edge centrality and multi-criteria vulnerability analysis 通过综合边缘中心性和多准则脆弱性分析揭示水网中的关键管道

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-06-22 DOI: 10.1016/j.wroa.2025.100366

Jiduo Xing , Eslam Ali , Tarek Zayed , Nehal Elshaboury , Abdelrahman E.E. Eltoukhy , Eslam Mohammed Abdelkader , Ridwan Taiwo

{"title":"Revealing critical pipes in water networks through integrated edge centrality and multi-criteria vulnerability analysis","authors":"Jiduo Xing , Eslam Ali , Tarek Zayed , Nehal Elshaboury , Abdelrahman E.E. Eltoukhy , Eslam Mohammed Abdelkader , Ridwan Taiwo","doi":"10.1016/j.wroa.2025.100366","DOIUrl":"10.1016/j.wroa.2025.100366","url":null,"abstract":"<div><div>Water distribution networks (WDNs) are critical infrastructure that must reliably supply water despite aging components and frequent pipe failures. Traditional vulnerability assessments largely adopt a node-centric perspective, often overlooking the pivotal role of pipelines themselves. This study proposes a paradigm shift to a pipe-centric vulnerability assessment framework that integrates complex network theory with multi-criteria analysis. We treat pipes as fundamental network elements and develop edge centrality metrics (ECMs) tailored to pipe characteristics. Sixteen distinct ECMs are generated by incorporating pipe length, a condition index (CI), and probability of failure (POF) into four base topological metrics (edge degree, edge neighborhood degree, edge betweenness, edge closeness). These metrics capture both network connectivity importance and physical deterioration risk. The entropy weight method (EWM) objectively assigns weights to each metric, and the technique for order preference by similarity to ideal solution (TOPSIS) aggregates them into a composite vulnerability index (VI) that ranks pipe criticality. The framework is demonstrated on Hong Kong’s freshwater (FW) and saltwater (SW) networks. Results show that fewer than 5 % of pipes are classified as highly vulnerable; notably, FW Zone A contains the highest fraction of high-VI pipes (≈14 %), reflecting its older infrastructure and dense population. The VI effectively identifies critical pipes, as removing the top 0.4 % most vulnerable pipes dramatically drops network connectivity (over 70 % reduction in a key performance measure). These findings highlight the value of a pipe-centric vulnerability approach and offer practical insights for optimizing maintenance and rehabilitation strategies in urban water networks.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100366"},"PeriodicalIF":7.2,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501596","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}

引用次数: 0

Properties of iron-bound organic carbon and its implications for the conservation of coastal wetland vegetation 铁结合有机碳的性质及其对滨海湿地植被保护的意义

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-06-21 DOI: 10.1016/j.wroa.2025.100368

Zihan Zheng , Yanting Zhang , Qingying Yu , Tingcang Hu , Chao Ma , Chunmei Chen , Yulin Qi

{"title":"Properties of iron-bound organic carbon and its implications for the conservation of coastal wetland vegetation","authors":"Zihan Zheng , Yanting Zhang , Qingying Yu , Tingcang Hu , Chao Ma , Chunmei Chen , Yulin Qi","doi":"10.1016/j.wroa.2025.100368","DOIUrl":"10.1016/j.wroa.2025.100368","url":null,"abstract":"<div><div>Reactive iron oxides, as an efficient “rust sink” for organic carbon, play a pivotal role in the long-term preservation of organic carbon within global soils. Although coastal wetlands are crucial carbon sinks on Earth, the composition of reactive iron-bound organic carbon (Fe<sub>R</sub>-OC) remain unclear. In this study, we applied a modified citrate-bicarbonate-dithionite (CBD) extraction method coupled with advanced analytical techniques including optical spectroscopy, Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) and stable isotope mass spectrometry to investigate Fe<sub>R</sub>-OC in the Yellow River coastal wetland in China. Our findings reveal that the Fe<sub>R</sub>-OC:Fe<sub>R</sub> ratios are relatively low (0.1–0.8), suggesting that adsorption is the primary mechanism controlling Fe<sub>R</sub>-OC formation in the Yellow River coastal wetland. Correlation analysis between Fe<sub>R</sub> content and fluorescence components indicates that iron oxides preferentially adsorb biologically recalcitrant humic-like components, while exhibiting limited affinity for protein-like. Meanwhile, we identified 1440 dissolved organic matter (DOM) molecules adsorbed by iron oxides, predominantly by oxygen-rich and highly unsaturated molecules. Furthermore, the Fe<sub>R</sub>-OC content in vegetated areas is an order of magnitude higher than bare flat, indicating that the restoration of vegetation is effective strategy for enhancing carbon sequestration in coastal wetlands. This study bridges laboratory simulations with natural samples, establishing a novel protocol enables more precise understanding of Fe-C coupling in real environments.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100368"},"PeriodicalIF":7.2,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144470366","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}

引用次数: 0

Exploring the feasibility of high rate enhanced biological phosphorus removal system driven by diverse carbon source 探索多种碳源驱动的高效强化生物除磷系统的可行性

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-06-20 DOI: 10.1016/j.wroa.2025.100365

Xuanyu Lu , Jing Zhao , Haoran Duan , Zhiguo Yuan , Yilin Zu , Adrian Oehmen , Liu Ye

{"title":"Exploring the feasibility of high rate enhanced biological phosphorus removal system driven by diverse carbon source","authors":"Xuanyu Lu , Jing Zhao , Haoran Duan , Zhiguo Yuan , Yilin Zu , Adrian Oehmen , Liu Ye","doi":"10.1016/j.wroa.2025.100365","DOIUrl":"10.1016/j.wroa.2025.100365","url":null,"abstract":"<div><div>The limited understanding of the mechanism and metabolism with short sludge retention time (SRT) conditions remain a significant challenge, hindering the integration of enhanced biological phosphorus removal (EBPR) into high-rate A/B processes. Previous short-SRT EBPR studies mainly relied on volatile fatty acid (VFA), whereas the diversity of carbon sources in real wastewater treatment plants (WWTP) is much broader and also includes sugars and amino acids.</div><div>In this study, a long-term EBPR process with a short SRT was established using mixed carbon sources representative of domestic wastewater, achieving reliable and efficient chemical oxygen demand (COD) and phosphorus (P) removal. Through long-term operation of 680 days, P removal efficiencies were obtained at 97.7 % ± 2.3, 97.6 % ± 4.4 and 92.6 % ± 10.2 with the SRT of 8 days, 5 days and 3 days, respectively. High COD removal efficiency at each stage was also attained. This work demonstrated that mixed carbon sources, such as glucose and VFAs were more favourable for energy transformation by selected phosphorus accumulating organisms (PAOs), compared to amino acids or glycerol. <em>Tetrasphaera</em>-PAOs and <em>Comamonas</em>-PAOs were the two dominant PAOs, and clade shift was observed within <em>Tetrasphaera</em>-PAOs. In summary, this work provides valuable insights into the feasibility of integrating EBPR with short SRT into A-stage high-rate WWTP processes.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100365"},"PeriodicalIF":7.2,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481424","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}

引用次数: 0

Remote sensing identification and model-based prediction of harmful algal blooms in inland waters: Current insights and future perspectives 内陆水域有害藻华的遥感识别和基于模型的预测：当前的见解和未来的展望

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-06-19 DOI: 10.1016/j.wroa.2025.100369

Wanting Wang , Guoqiang Wang , Jie Li , Jinyue Chen , Zhenyu Gao , Lei Fang , Shilong Ren , Qiao Wang

{"title":"Remote sensing identification and model-based prediction of harmful algal blooms in inland waters: Current insights and future perspectives","authors":"Wanting Wang , Guoqiang Wang , Jie Li , Jinyue Chen , Zhenyu Gao , Lei Fang , Shilong Ren , Qiao Wang","doi":"10.1016/j.wroa.2025.100369","DOIUrl":"10.1016/j.wroa.2025.100369","url":null,"abstract":"<div><div>Harmful algal blooms (HABs) in freshwater systems pose significant threats to water quality, ecological stability, and public health. Managing these blooms requires substantial resources, making early and accurate prediction essential. Remote sensing technologies have emerged as powerful tools for HAB identification and forecasting, providing critical data to support predictive modeling. However, forecasting HABs remains challenging due to inherent uncertainties in bloom dynamics. Recent advances in data science and computational methods have facilitated the widespread application of both data-driven (DD) and process-based (PB) models for HAB prediction. DD models, particularly machine learning techniques such as artificial neural networks (ANN), random forest (RF), and long short-term memory (LSTM), effectively capture relationships between environmental variables and bloom events from historical data, enabling accurate short-term predictions. In contrast, PB models simulate the biochemical processes driving algal growth, such as photosynthesis, nutrient uptake, and cell division, providing mechanistic insights and supporting targeted management strategies. Despite these advancements, challenges remain, including the selection of optimal input variables, model transferability across diverse water bodies, and the interpretability of complex machine learning models. Future research should focus on developing adaptive hybrid models, integrating interpretable artificial intelligence (XAI) techniques, and enhancing the synergy between remote sensing and predictive modeling. This comprehensive approach has the potential to provide robust early warning systems for HABs, contributing to sustainable freshwater management.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100369"},"PeriodicalIF":7.2,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501595","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}

引用次数: 0

Unstructured mesh-based graph neural networks for estimating the spatiotemporal distribution of a human-induced chemical in freshwater 用于估算淡水中人为化学物质时空分布的非结构化网格神经网络

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-06-17 DOI: 10.1016/j.wroa.2025.100367

Soobin Kim , Sang-Soo Baek , Hyoun-Tae Hwang , Jin Hwi Kim , Kyung Hwa Cho

{"title":"Unstructured mesh-based graph neural networks for estimating the spatiotemporal distribution of a human-induced chemical in freshwater","authors":"Soobin Kim , Sang-Soo Baek , Hyoun-Tae Hwang , Jin Hwi Kim , Kyung Hwa Cho","doi":"10.1016/j.wroa.2025.100367","DOIUrl":"10.1016/j.wroa.2025.100367","url":null,"abstract":"<div><div>Artificial sweeteners such as acesulfame are anthropogenic contaminants increasingly detected in natural waters via wastewater effluents. Numerical models such as HydroGeoSphere (HGS) are widely used to simulate their spatiotemporal transport. However, high computational demands—especially when using unstructured meshes to capture complex geometries—limit their scalability for large-scale or long-term applications. To address this limitation, we developed a mesh-based graph neural network (Mesh-GNN), adapted from MeshGraphNets, to efficiently emulate HGS outputs over unstructured triangular meshes. The model was applied to the upper Grand River, Ontario, Canada, using topographical, geographical, hydrological, hydrometeorological, and wastewater point-source data to estimate acesulfame concentrations. Mesh-GNN retained the node and edge structure of the HGS mesh and enabled rapid inference via message passing. The model training yielded Nash-Sutcliffe Efficiency (NSE) values of 0.93 (spatial split) and 0.86 (temporal split), with corresponding validation NSEs of 0.69 and 0.70. Incorporating field observations with HGS-simulated concentrations improved accuracy at sampling sites by up to 29.7 % compared to HGS alone. While HGS solves nonlinear partial differential equations across a three-dimensional watershed-scale mesh (∼3.5 million nodes), requiring several days per simulation, Mesh-GNN operates on a simplified two-dimensional upstream segment (5755 nodes), enabling inference within seconds. These findings highlight the potential of Mesh-GNN-based surrogate models for efficient and scalable water quality prediction.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100367"},"PeriodicalIF":7.2,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144510889","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}

引用次数: 0

Iron (oxyhydr)oxide-driven chemodiversity in algal-derived dissolved organic matter: Mechanistic coupling of electron transfer and radical-induced bond cleavage under light and dark conditions 藻源溶解有机物中铁（氧）氧化物驱动的化学多样性：光和暗条件下电子转移和自由基诱导的键解理的机制耦合

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-06-15 DOI: 10.1016/j.wroa.2025.100364

Zelong Yan , Minhan Pi , Tingting You , Li Wang , Shaofeng Wang , Xiangfeng Zeng

{"title":"Iron (oxyhydr)oxide-driven chemodiversity in algal-derived dissolved organic matter: Mechanistic coupling of electron transfer and radical-induced bond cleavage under light and dark conditions","authors":"Zelong Yan , Minhan Pi , Tingting You , Li Wang , Shaofeng Wang , Xiangfeng Zeng","doi":"10.1016/j.wroa.2025.100364","DOIUrl":"10.1016/j.wroa.2025.100364","url":null,"abstract":"<div><div>Understanding iron mineral-mediated dissolved organic matter (DOM) transformation is key to predicting the carbon cycle in aquatic environment. However, the catalytic roles of iron (oxyhydr)oxides in mediating molecular transformations and chemodiversity of algal-derived dissolved organic matter (ADOM) remain poorly understood. This study systematically investigates ferrihydrite (FH), goethite (GOE), and hematite (HEM) under dark and irradiated conditions. Three-dimensional fluorescence analyses revealed that all three iron oxides accelerated ADOM transformation, with crystalline phases (HEM and GOE) inducing a distinct fluorescent component (excitation/emission: 250(340)/434 nm), particularly under HEM exposure. Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) data demonstrated preferential adsorption of aromatic and carboxylic acid compounds by iron oxides, forming ADOM molecules characterized by low unsaturation. Light irradiation enhanced molecular chemodiversity, reducing aromaticity by 32.7 % while increasing unsaturated and oxygen-rich compounds by 13.1 % and 22.8 %, respectively. Electron paramagnetic resonance spectroscopy identified reactive oxygen species (ROS) generation via surface electron transfer. Specifically, singlet oxygen (<sup>1</sup>O<sub>2</sub>) and hydroxyl radicals (•OH) produced by GOE and HEM induced aromatic ring cleavage and structural reorganization. This oxidative transformation significantly increased the DOM lability index (MLB) 32.7 % in the GOE system and 41.2 % in the HEM system. Mechanistically, iron (oxyhydr)oxides function as dual agents, acting as electron transfer mediators and radical catalysts, which collectively regulate DOM composition and lability. These findings provide critical insights into iron-driven biogeochemical cycling of organic matter in aquatic systems.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100364"},"PeriodicalIF":7.2,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307460","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}

引用次数: 0

3PIGENet:A multi-pollutant identification algorithm using multi-source spectroscopy for label-missing scenarios 3PIGENet：一种使用多源光谱的多污染物识别算法，用于标签缺失场景

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-06-14 DOI: 10.1016/j.wroa.2025.100359

Binqiang Ye , Changhong Chen , Xuejie Cao , Hong Liu , Bin Tang , Peng Feng , Jian Liu , Dong Li

{"title":"3PIGENet:A multi-pollutant identification algorithm using multi-source spectroscopy for label-missing scenarios","authors":"Binqiang Ye , Changhong Chen , Xuejie Cao , Hong Liu , Bin Tang , Peng Feng , Jian Liu , Dong Li","doi":"10.1016/j.wroa.2025.100359","DOIUrl":"10.1016/j.wroa.2025.100359","url":null,"abstract":"<div><div>Real-world water samples often face issues such as multi-source pollution mixing and missing labels, posing significant challenges to the accurate identification of pollutants. In this context, the key to pollutant identification lies in effectively representing the spectral information of pollutants and separating features of different categories through semi-supervised learning strategies. Therefore, this study proposes a semi-supervised prototype contrast loss Graph Convolutional Network (GCN) model based on multi-source spectroscopy for the identification of water pollutants. The method first constructs a spectral library of standard pollution samples and extracts topological features of samples using the characteristic peak relationship function of different pollution sources. By integrating GCN, the model can calculate prototype vectors under different pollution conditions and perform semi-supervised learning by combining prototypical contrastive learning with cross-entropy loss to address sample pollution representation in label-missing scenarios. Finally, the prediction of pollutants is made by calculating the cosine similarity between the learned pollution prototype vectors and the pollution sample representation vectors. Compared to traditional spectral feature extraction methods, topological features can better reveal the relationships between characteristic peaks in different spectra. Graph prototype contrastive learning aids in more robustly capturing inter-class discrimination information and feature consistency. Experimental results indicate that in water pollutant identification tasks, especially in semi-supervised learning tasks, proposed 3PIGENet model achieves an accuracy of 0.915 and a macro-F1 score of 0.683 in semi-supervised learning, which significantly outperforms existing SOTA models.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100359"},"PeriodicalIF":7.2,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307461","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}

引用次数: 0

The hydrophobicity of lignin enhances E. coli survival during NaClO exposure 木质素的疏水性提高了大肠杆菌在NaClO暴露下的存活率

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-06-11 DOI: 10.1016/j.wroa.2025.100362

Weihong Xu , Haibei Li , Zhongwei Yang, Tianjiao Chen, Shuqing Zhou, Yue Zhao, Danyang Shi, Dong Yang, Junwen Li, Min Jin

{"title":"The hydrophobicity of lignin enhances E. coli survival during NaClO exposure","authors":"Weihong Xu , Haibei Li , Zhongwei Yang, Tianjiao Chen, Shuqing Zhou, Yue Zhao, Danyang Shi, Dong Yang, Junwen Li, Min Jin","doi":"10.1016/j.wroa.2025.100362","DOIUrl":"10.1016/j.wroa.2025.100362","url":null,"abstract":"<div><div>High turbidity, attributed to suspended solids and colloidal particles, can lead to microbiological control failure during water disinfection. Lignin, a naturally occurring particle suspended in water, may contribute to turbidity. However, its ability to adsorb bacteria and protect them from chlorination remains poorly understood. In this study, we investigated <em>Escherichia coli</em> inactivation by NaClO in the presence and absence of natural particles. Among the five tested microparticles, lignin significantly enhanced <em>E. coli</em> survival under NaClO exposure, diminishing its bactericidal effect. Furthermore, surviving bacteria showed upregulation of gene expression related to energy metabolism and oxidative stress, as indicated by transcriptional analysis and qPCR measurements. These findings were further supported by increased ATP content, decreased ROS levels, and a prolonged lag phase in growth curves, enabling bacteria to rapidly restore their growth activity. Further analysis revealed that <em>E. coli</em> binds to the surface of lignin through hydrophobic interactions involving hydroxyl, methyl, aromatic rings, and ether groups. Lignin exhibited a strong bacterial adsorption capacity, as described by pseudo-second-order (PSO) kinetics and the Freundlich model, leading to reduced membrane permeability to NaClO. Importantly, the protective effect of lignin on bacteria was positively correlated with its hydrophobicity, with greater hydrophobicity resulting in enhanced bacterial protection. These findings suggest that lignin significantly increases <em>E. coli</em> resistance to chlorination, potentially contributing to disinfection failure in water treatment. This study highlights the role of lignin as a potential hazard that compromises microbiological control, offering new insights into chlorination failure caused by turbidity.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100362"},"PeriodicalIF":7.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144312763","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}

引用次数: 0

Environmental impacts and cost of a water quality trading approach for NPDES nutrient permit compliance in a rural watershed 在农村流域为达到NPDES营养物许可证要求而采用的水质交易方法的环境影响和成本

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-06-10 DOI: 10.1016/j.wroa.2025.100363

Sam Arden , Ben Morelli , Joe Miller , Sagarika Rath , Jennifer Ferrando , George Azevedo , Smiti Nepal , Bayou Demeke , Xin (Cissy) Ma

{"title":"Environmental impacts and cost of a water quality trading approach for NPDES nutrient permit compliance in a rural watershed","authors":"Sam Arden , Ben Morelli , Joe Miller , Sagarika Rath , Jennifer Ferrando , George Azevedo , Smiti Nepal , Bayou Demeke , Xin (Cissy) Ma","doi":"10.1016/j.wroa.2025.100363","DOIUrl":"10.1016/j.wroa.2025.100363","url":null,"abstract":"<div><div>U.S. EPA’s National Water Quality Trading (WQT) policy encourages market-based approaches to improve water quality and maximize ancillary benefits beyond the primary purpose of water quality permit compliance. Wisconsin has a growing WQT program through which nutrient point sources such as wastewater treatment facilities can purchase nutrient reduction credits generated by other entities within the watershed, such as agricultural producers who convert cropland to grassland or forest. However, benefits beyond nutrient reduction are seldom quantified, suggesting the full benefits may be underestimated. This project uses life cycle assessment and life cycle cost assessment to characterize the economic and environmental impacts of a WQT approach to nutrient compliance, using a rural watershed in the Wisconsin driftless area as a case study. The results demonstrate WQT is generally a lower cost means of achieving NPDES permit compliance. The results also suggest additional benefits with WQT, including reductions in nutrient emissions beyond permit requirement, increased soil carbon, and reduced energy demand. The results not only demonstrate the benefits of integrated watershed management, but also show how, compared to a technological approach, a nature-based solution can achieve water quality compliance at a lower overall cost. It sheds light on incentivizing potential broader adoption of WQT.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100363"},"PeriodicalIF":7.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322242","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}

引用次数: 0

Adaptive routing behaviors between “touch-go” and direct electron transfer of pyrogenic carbon to promote phosphorus recovery as vivianite 热原碳的“触碰”和直接电子转移之间的自适应路由行为促进磷作为活石回收

IF 7.2 2区环境科学与生态学

Water Research X Pub Date : 2025-06-07 DOI: 10.1016/j.wroa.2025.100361

Danhui Liang , Jifei Chang , Fengai Yang , Yue Wu , Xiaoming Yang , Hongjin Ji , Shu Wang , Xin Wang , Nan Li

{"title":"Adaptive routing behaviors between “touch-go” and direct electron transfer of pyrogenic carbon to promote phosphorus recovery as vivianite","authors":"Danhui Liang , Jifei Chang , Fengai Yang , Yue Wu , Xiaoming Yang , Hongjin Ji , Shu Wang , Xin Wang , Nan Li","doi":"10.1016/j.wroa.2025.100361","DOIUrl":"10.1016/j.wroa.2025.100361","url":null,"abstract":"<div><div>Microbial extracellular electron transfer (EET) driven by dissimilatory iron reduction bacteria is considered integral to elemental cycles and biochemical transformations, which involves the synthesis of the phosphate mineral vivianite in both natural aqueous systems and wastewater treatment plants (WWTPs). Exogenous conductive mediators have been investigated to facilitate EET and iron respiration. Herein, sufficient biochar (>5 g·<em>L</em><sup>−1</sup>) served as electron-transfer-station established new redox balances for iron reduction, which kinetically promoted vivianite recovery. The average iron reduction rate was increased by 107 %, leading to a 105 % enhancement of vivianite yield mediated by <em>Geobacter sulfurreducens</em> PCA in the presence of biochar. The O<img>H groups as stable electron donor contributed 14 %-19 % for vivianite recovery regardless of electron exchange capacity of biochar. As the pyrolysis temperature increased from 300 to 600 ℃, quinone C = O facilitated electrons reversibly touch-go on biochar, with its contribution rising from 47 % to 66 %. Subsequently, an alternative direct electron transfer route was adaptively constructed in biochar matrix with high temperature, which dominated 52 % for vivianite recovery at 900 ℃. This study demonstrated the mechanisms of EET promoted by biochar in vivianite recovery, offering insights into biochemical electron flux and conductive networks in the coupling of iron and phosphorus recycling.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100361"},"PeriodicalIF":7.2,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243258","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}

引用次数: 0