Water Research X最新文献_第7页

Microbial risks and nutrient loading impacts of centralized treatment and converged wastewater discharge under dynamic coastal current 动态海流条件下污水集中处理和汇流排放的微生物风险及养分负荷影响

IF 8.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-11-04 DOI: 10.1016/j.wroa.2025.100442

Linus S.H. Lo , Jingyu Liu , Jiejun Luo , Peiyuan Ye , Zhijun Dai , Yangjian Cheng , Ahmed Noor Muhammad , Patrick K.H. Lee , Jinping Cheng

Coastal ecosystems are increasingly affected by anthropogenic activities and land-based pollution, necessitating improved wastewater treatment systems and management strategies to ensure safe and sustainable usage. Using Victoria Harbor, Hong Kong as a model system, this study evaluates the ecological and water quality impacts of the combined centralizing and upgrading of preliminary wastewater treatment through contemporary monthly environmental DNA metabarcoding and long-term historical environmental monitoring data. Our findings indicate that while centralized chemically enhanced primary treatment significantly reduced phosphorus and microbial pollution in the study region when compared to historical baselines, the relocation of effluent discharge points reshaped microbial community structures in the direct effluent-receiving site VM7 with reduced Cyanobacteria. Beyond temperature as the seasonality indicator, parameters such as salinity, 5-day biological oxygen demand, and nitrite nitrogen were major contributors shaping the variation in microbial community composition. Under dynamic hydrodynamic conditions, VM7 could be a higher risk accumulation zone, enriching pathogens such as Bacteroides vulgatus. Temporally, elevated nitrogen concentration, particularly during the warm and wet season, were exacerbated by land runoff and rainfall-driven deposition, coinciding with increased pathogen prevalence. Seasonal analyses revealed that microbial activity and nutrient pollution were higher in the wet season, while key nitrogen transformation pathways, such as denitrification, decreased in the dry season. Comprehensive pathogen screening identified 27 potentially pathogenic bacterial species, predominantly at low abundances but with higher diversity at the effluent outfall. Notably, human pathogens increased during the wet season, raising health risks, although antibiotic resistance genes were not shown to be enriched. These results underscore the need for integrating spatial and temporal heterogeneity into environmental impact assessments to accurately capture risk dynamics. Emphasizing site-specific monitoring and management approaches is crucial for mitigating nutrient imbalances and microbial pollution, thus safeguarding coastal ecosystem health and public safety. This work provides essential insights for optimizing wastewater treatment and environmental management practices in coastal regions facing similar pollution challenges.

沿海生态系统日益受到人为活动和陆地污染的影响，需要改进废水处理系统和管理战略，以确保安全和可持续的使用。本研究以香港维多利亚港为模型系统，通过当代月度环境DNA元条形码和长期历史环境监测数据，评估污水初步处理集中升级联合处理对生态和水质的影响。我们的研究结果表明，虽然与历史基线相比，集中化学强化一级处理显著降低了研究区域的磷和微生物污染，但污水排放点的迁移重塑了直接污水接收点VM7的微生物群落结构，减少了蓝藻。除了温度作为季节性指标外，盐度、5天生物需氧量和亚硝酸盐氮等参数是影响微生物群落组成变化的主要因素。在动态水动力条件下，VM7可能是高危富集区，富集普通拟杆菌等病原菌。从时间上看，氮浓度升高，特别是在暖季和雨季，因土地径流和降雨驱动的沉积而加剧，与病原体流行率增加相一致。季节分析表明，微生物活性和养分污染在丰水季较高，而关键的氮转化途径，如反硝化作用，在旱季减少。综合病原体筛选鉴定出27种潜在致病性细菌，主要是低丰度，但在出水处具有较高的多样性。值得注意的是，人类病原体在雨季增加，增加了健康风险，尽管抗生素抗性基因并未显示出增加。这些结果强调了将空间和时间异质性纳入环境影响评估以准确捕捉风险动态的必要性。强调特定地点的监测和管理方法对于减轻营养失衡和微生物污染至关重要，从而维护沿海生态系统健康和公共安全。这项工作为面临类似污染挑战的沿海地区优化废水处理和环境管理实践提供了重要见解。

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引用次数: 0

Multi-source ecological water replenishment reshapes microbial community assembly and network stability in a water-scarce river 多源生态补水重塑缺水河流微生物群落聚集和网络稳定性

IF 8.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-11-02 DOI: 10.1016/j.wroa.2025.100441

Xin Kou , Xiong Cao , Yushuai Wang , Zitong Sun , Jianghao Ji , Gaoqi Duan , Zengliang Peng , Xiaofei Sun , Xiaofeng Cao , Weixiao Qi , Jianfeng Peng , Huijuan Liu , Jiuhui Qu

Ecological water replenishment (EWR) has been an essential strategy to alleviate water scarcity and restore ecological functions in degraded rivers. However, the ecological consequences of multi-source replenishment, particularly how diverse water inputs jointly reshape microbial communities, assembly processes and network stability, remain largely underexplored. Here, we investigated the Yongding River Basin, a representative water-scarce river system in northern China that receives inflows including natural surface runoff, inter-basin transfers from Yellow River and South-to-North Water Diversion Project (SNWD), and reclaimed municipal wastewater. Through integrated analysis of bacterioplankton and bacteriobenthos communities, we found a progressive decline in alpha diversity and significant shifts in beta diversity from upstream to downstream sections with increasing engineered inputs. Stochastic processes dominated the assembly of both bacterioplankton and bacteriobenthos, although their relative importance varied with replenishment source. Compared with natural runoff, the proportions of dispersal limitation and homogeneous selection for bacterioplankton decreased under Yellow River and mixed replenishment, whereas bacteriobenthos assembly exhibited little overall change. Network analysis further revealed that EWR reduced the resilience of bacterioplankton network but enhanced that of bacteriobenthos. Across the entire aquatic ecosystem, microbial network complexity was strongly and positively associated with ecological stability. More, community assembly process affected network stability not only directly but also indirectly through their regulation of microbial diversity. These findings advance the mechanistic understanding of how large-scale, multi-source EWR reshapes microbial ecology and network structure, providing valuable insights for optimizing water input allocation, enhancing the functional recovery of aquatic microbial ecosystems, and supporting the sustainable management of water resources.

生态补水已成为缓解江河水资源短缺、恢复江河生态功能的重要策略。然而，多源补给的生态后果，特别是不同的水输入如何共同重塑微生物群落、组装过程和网络稳定性，在很大程度上仍未得到充分探索。本文研究了永定河流域，这是中国北方代表性的缺水水系，其流入包括自然地表径流、黄河流域间转移和南水北调工程（SNWD）以及城市再生废水。通过对浮游细菌和底栖细菌群落的综合分析，我们发现随着工程投入的增加，α多样性逐渐下降，β多样性从上游向下游显著转移。随机过程在浮游细菌和底栖细菌的聚集中占主导地位，但其相对重要性随补给源的不同而不同。与自然径流相比，黄河和混合补给下浮游细菌的扩散限制和均匀选择比例降低，而底栖细菌群落总体变化不大。网络分析进一步表明，EWR降低了浮游细菌网络的弹性，但增强了底栖细菌网络的弹性。在整个水生生态系统中，微生物网络复杂性与生态稳定性呈显著正相关。群落组装过程不仅直接影响网络稳定性，而且还通过调节微生物多样性间接影响网络稳定性。这些发现促进了对大规模、多源EWR如何重塑微生物生态和网络结构的机制理解，为优化水投入配置、促进水生微生物生态系统功能恢复和支持水资源可持续管理提供了有价值的见解。

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引用次数: 0

Fungal-based wastewater treatment: pharmaceutical removal and nutrient release from a pellet system 基于真菌的废水处理：从颗粒系统中去除药物和释放营养物质

IF 8.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-11-01 DOI: 10.1016/j.wroa.2025.100440

Malin Hultberg , Tsz Yung (Patrick) Wong , Bent Speksnijder , Oksana Golovko

In this study, we evaluated the use of fungal pellets produced from commercially available mushroom spawn of two white-rot fungi (Pleurotus ostreatus and Trametes versicolor) for removing pharmaceuticals from municipal wastewater. The impact of the treatment on 33 pharmaceuticals in wastewater sampled from various process stages, including after primary and secondary clarification and tertiary treated effluent, was evaluated. Treatments were tested for up to 72 h, with monitoring of pharmaceutical concentrations, laccase activity, and nutrient levels. High removal efficiencies, exceeding 90 %, were achieved within 24 h of treatment, including for several pharmaceuticals prioritized under the revised Urban Wastewater Treatment Directive. Removal performance remained high in the wastewater collected after primary clarification, demonstrating that the spawn-based fungal pellets remained functional in this complex wastewater matrix. This finding is of interest as the treatment resulted in increased levels of organic carbon and total phosphorus, highlighting the need for downstream management or process integration. Integration early in the treatment process, coupled with strategies for biomass valorization and nutrient control, could enhance its application in municipal wastewater management. Our results support the feasibility of fungal pellet treatment as a sustainable option for pharmaceutical removal. Further research is needed to address transformation products, economic viability, and large-scale deployment.

在这项研究中，我们评估了用市售的两种白腐菌（平菇和色曲霉）的菌种生产的真菌颗粒去除城市污水中的药物的效果。评估了该处理对从不同工艺阶段取样的废水中的33种药物的影响，包括经过初级和二级澄清和三级处理的废水。对处理进行长达72小时的测试，监测药物浓度、漆酶活性和营养水平。在处理后24小时内实现了超过90%的高去除效率，包括根据修订的城市废水处理指令优先考虑的几种药物。在初次澄清后收集的废水中，去除性能仍然很高，这表明基于产卵的真菌颗粒在这种复杂的废水基质中仍然有效。这一发现令人感兴趣，因为处理导致有机碳和总磷水平增加，突出了下游管理或工艺整合的必要性。在处理过程的早期整合，加上生物质增值和营养控制策略，可以加强其在城市污水管理中的应用。我们的结果支持真菌颗粒治疗作为药物去除的可持续选择的可行性。需要进一步的研究来处理转换产品、经济可行性和大规模部署。

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引用次数: 0

Real-time pH monitoring and machine learning prediction of phosphorus precipitation kinetics in urine systems 尿液系统中磷沉淀动力学的实时pH监测和机器学习预测

IF 8.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-10-31 DOI: 10.1016/j.wroa.2025.100439

Liang Li , Hou-Wei Zeng , Tian-Wei Hua, Di Min, Dong-Feng Liu, Han-Qing Yu

Urine, as a primary source of phosphorus in wastewater, has a complex composition, where dynamic interactions among components during storage and treatment significantly affect phosphorus precipitation. However, it is difficult for traditional analytical methods to capture these rapidly evolving processes in real-time, leaving the kinetics of phosphorus precipitation in multi-component systems poorly understood. In this work, real-time pH monitoring was employed in a controlled simulated urine system to effectively identify the initiation and termination of phosphorus precipitation reactions. Based on the pH time-series data, an XGBoost machine learning model was developed to predict precipitation kinetics with high accuracy and further validated using real urine samples. Moreover, Shapley Additive Explanations analysis quantified the contributions and interactions of multiple factors, and experimental validation uncovered the interaction pathways of calcium and magnesium precipitation under high urea hydrolysis conditions. Overall, this work highlights pH as a sensitive indicator of chemical dynamics and introduces a data-driven framework for understanding phosphorus precipitation in complex multi-component environments, offering valuable insights into phosphorus precipitation kinetics with implications for future wastewater treatment.

尿液作为污水中磷的主要来源，其组成复杂，在储存和处理过程中，各成分之间的动态相互作用显著影响着磷的沉淀。然而，传统的分析方法很难实时捕捉这些快速发展的过程，这使得人们对多组分系统中磷沉淀的动力学知之甚少。在这项工作中，在受控的模拟尿液系统中采用实时pH监测来有效识别磷沉淀反应的开始和终止。基于pH时间序列数据，开发了XGBoost机器学习模型，以高精度预测沉淀动力学，并使用真实尿液样本进一步验证。此外，Shapley Additive explanation分析量化了多个因素的贡献和相互作用，实验验证揭示了高尿素水解条件下钙镁沉淀的相互作用途径。总的来说，这项工作强调了pH值作为化学动力学的敏感指标，并引入了一个数据驱动的框架，用于理解复杂的多组分环境中的磷沉淀，为磷沉淀动力学提供了有价值的见解，对未来的废水处理具有重要意义。

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引用次数: 0

Environmental heterogeneity altered the growth fitness of antibiotic-resistant mutants and the resistance prevalence in Escherichia coli populations 环境异质性改变了耐药突变体在大肠杆菌群体中的生长适应性和耐药患病率

IF 8.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-10-30 DOI: 10.1016/j.wroa.2025.100438

Chujing Zheng , Yue Xing , Xiaoxi Kang, Yujie Men

Antibiotic resistance is one of the most critical issues in public health. As antibiotic-resistant bacteria emerge under certain selection pressure, their further proliferation can facilitate the prevalence and maintenance of the antibiotic resistance. Here, we investigated which environmental factors could affect the growth fitness of antibiotic-resistant Escherichia coli strains using growth competition assays. We found that when antibiotic resistance selection pressure was removed, lower temperature and nutrient limitations, especially iron (Fe) deficiency, fostered a better fitness to resistant mutants when co-cultivated with the wild type, whereas changes in pH or salinity (Na or K) did not. Moreover, the growth advantage of resistant mutants under the selection pressure was reversed by suboptimal conditions like acidic/basic pH, high K salinity, and Fe limitation. These identified key environmental factors influencing the growth fitness of antibiotic-resistant mutants provide important insights into the prediction and mitigation of antibiotic resistance in heterogeneous environments.

抗生素耐药性是公共卫生领域最关键的问题之一。由于耐药菌是在一定的选择压力下产生的，它们的进一步增殖可以促进抗生素耐药性的流行和维持。在这里，我们研究了哪些环境因素会影响耐药大肠杆菌菌株的生长适应性。我们发现，当去除抗生素抗性选择压力时，较低的温度和营养限制，特别是铁（Fe）缺乏，在与野生型共培养时，培养了更好的抗性突变体适应性，而pH或盐度（Na或K）的变化则没有。此外，抗性突变体在选择压力下的生长优势被酸碱pH、高钾盐度和铁限制等次优条件逆转。这些确定的影响抗生素耐药突变体生长适应性的关键环境因素为异质环境中抗生素耐药性的预测和缓解提供了重要的见解。

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引用次数: 0

Using AMSI in DMA design to introduce the CAPEX goal 在DMA设计中运用AMSI引入资本支出目标

IF 8.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-10-28 DOI: 10.1016/j.wroa.2025.100436

Orazio Giustolisi, Antonietta Simone

Water loss management is a relevant issue for urban drinking water networks impacting public expenditure, being leakages caused by deteriorated aged systems which need of expensive pipes replacement plans. Design of district metering areas (DMAs) improves engineering management, also with respect to water losses, supporting pressure control, active leakage detection and pipes replacement.

This work presents a novel DMA design framework based on a two- phase optimization strategy. The former is the topological segmentation to partition the network domain, and the latter is the hydraulic analysis to decide the position of closed gates at the boundary of DMAs.

The novel framework introduces the efficiency goal for CAPital EXpenditure in optimal DMA design. The novel modularity index drives the segmentation to smaller DMAs where the density of consumers meters is higher, identified as more critical and prone to deterioration. Successively, the novel asset management support indicator (AMSI), which is a deterioration index scalable from pipes to DMAs and the entire drinking network, drives the pressure reduction in the most deteriorated area of the network by means of the optimal location of closed gates.

The case study of the Modugno Town, in Apulia, is used to demonstrate and discuss the novel optimal DMA design framework.

水损失管理是影响公共支出的城市饮用水网络的一个相关问题，是由于老化的系统造成的泄漏，需要昂贵的管道更换计划。区域计量区（dma）的设计改善了工程管理，也改善了水损失、配套压力控制、主动泄漏检测和管道更换。本文提出了一种基于两阶段优化策略的DMA设计框架。前者是拓扑分割，用于划分网络域；后者是水力分析，用于确定dma边界处关闭门的位置。该框架引入了DMA优化设计中资本支出的效率目标。新的模块化指数驱动细分到较小的dma，其中消费者仪表的密度更高，被确定为更关键，更容易恶化。其次，新型资产管理支持指标（AMSI）是一种从管道到dma乃至整个饮用管网可扩展的劣化指标，它通过闸门的最优位置来驱动管网劣化最严重区域的压力降低。本文以Apulia的Modugno镇为例，论证和讨论了新的优化DMA设计框架。

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引用次数: 0

An enzymatic mechanism on sediment N and P release in arid-region lakes under various saline conditions 不同盐分条件下干旱区湖泊沉积物氮磷释放的酶机制

IF 8.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-10-21 DOI: 10.1016/j.wroa.2025.100433

Xingyu Jiang , Jianmin Zhan , Yang Hu , Keqiang Shao , Xiangming Tang , Jianying Chao , Guang Gao

Arid-region lakes are facing complex water management challenges due to interactive effects of nutrient pollution and salinity variations. However, the effects of salinity gradients on sediment extracellular enzyme activities and nutrient release dynamics remain unclear. This study investigated sediment alkaline phosphatase (APA) and urease (UA) activities, along with soluble reactive phosphorus (SRP) and ammonium fluxes at the sediment-water interface, across three lakes spanning freshwater to brackish conditions in the arid region of Central Asia. Results showed that sediment APA was significantly inhibited by combined effects of high salinity and SRP concentrations. Conversely, sediment UA demonstrated negligible sensitivity to salinity variations, being primarily regulated by sediment organic matter content. Nutrient release from sediments in freshwater lake (Lake Bosten) were significantly higher than in brackish lakes (Lake Sayram and Lake Ulungur). While the involvement of other environmental factors cannot be ruled out, our findings suggest that high salinity may limit sediment nutrient release, potentially through inhibiting enzyme activity or affecting ion exchange. Consequently, the ongoing climatic wetting trend in arid Xinjiang could potentially lead to a reduction in lake salinity, which might consequently promote the release of nutrients from sediments. Hence, heightened vigilance against the potential adverse environmental impacts on these lakes is warranted.

由于营养物污染和盐度变化的相互作用，干旱地区的湖泊正面临着复杂的水管理挑战。然而，盐度梯度对沉积物胞外酶活性和养分释放动力学的影响尚不清楚。本研究研究了中亚干旱区3个淡水湖-半咸水湖沉积物碱性磷酸酶（APA）和脲酶（UA）活性，以及可溶性活性磷（SRP）和铵的通量。结果表明，高盐度和高SRP浓度的联合作用显著抑制了沉积物APA。相反，沉积物UA对盐度变化的敏感性可以忽略不计，主要受沉积物有机质含量的调节。淡水湖泊（博斯腾湖）沉积物中养分释放量显著高于咸淡湖泊（塞拉姆湖和乌伦古尔湖）。虽然不能排除其他环境因素的参与，但我们的研究结果表明，高盐度可能通过抑制酶活性或影响离子交换来限制沉积物养分释放。因此，新疆干旱地区持续的气候湿润趋势可能导致湖泊盐度降低，从而可能促进沉积物中营养物质的释放。因此，有必要对这些湖泊可能产生的不利环境影响提高警惕。

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引用次数: 0

Use of the MABR fingerprint soft sensor to control biofilm thickness and optimize hybrid membrane aerated biofilm reactor (MABR) performance 利用MABR指纹软传感器控制生物膜厚度，优化混合膜曝气生物膜反应器（MABR）的性能

IF 8.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-10-19 DOI: 10.1016/j.wroa.2025.100432

Yi Cao, Glen T. Daigger

Installing commercial membrane-aerated biofilm reactor (MABR) units into existing systems to form hybrid MABRs us ab emerging approach to increase wastewater treatment capacity and enhance nutrient removal due to tightened discharge regulations and growing populations. Biofilm thickness is identified as a critical parameter affecting MABR performance. To monitor biofilm thickness and develop a biofilm thickness control strategy for practical full-scale MABR units, this study develops the MABR fingerprint soft sensor as the linear relationship between off-gas oxygen content (% O₂) and bulk ammonia concentration (mg-N/L) under diurnally varying loading conditions. Simulations were conducted to test the implementation of the MABR fingerprint soft sensor in MABR units in a completely mixed tank and MABR units arranged in series. Results indicate that relatively thin biofilms, quantified by a higher numerical value of the MABR fingerprint soft sensor metric, should be maintained for the single-stage hybrid MABRs and in the initial stage for MABRs in series to optimize nitrification and denitrification simultaneously. The MABR fingerprint soft sensor metric can serve as a proactive signal to indicate biofilm thickness changes before noticeable deviations in performance occur. The numerical value of the MABR fingerprint soft sensor metric associated with optimal process performance was found to be relatively consistent over a range of process loadings and operation conditions, including temperature variations, wet weather flow conditions, and varying wastewater characteristics. A general procedure to implement the MABR fingerprint soft sensor to optimize the performance in the large-scale hybrid MABRs is provided.

在现有的系统中安装商用膜曝气生物膜反应器（MABR）单元，形成混合型MABR，是一种新兴的方法，可以提高废水处理能力，提高营养去除能力，这是由于排放法规的收紧和人口的增长。生物膜厚度被认为是影响MABR性能的关键参数。为了监测生物膜厚度并为实际的全尺寸MABR装置开发生物膜厚度控制策略，本研究开发了MABR指纹软传感器，作为在日变化负载条件下的烟气氧含量（% O2）和散装氨浓度（mg-N/L）之间的线性关系。通过仿真测试了MABR指纹软传感器在完全混合槽内MABR单元和MABR单元串联上的实现情况。结果表明，单级混合MABR和串联MABR的初始阶段应保持相对较薄的生物膜，以较高的数值量化MABR指纹软测量指标，以同时优化硝化和反硝化。MABR指纹软传感器指标可以作为主动信号，在明显的性能偏差发生之前指示生物膜厚度的变化。与最佳工艺性能相关的MABR指纹软传感器指标的数值在一系列工艺负荷和操作条件下相对一致，包括温度变化、潮湿天气流量条件和不同的废水特性。为了优化大规模混合MABR指纹软传感器的性能，给出了实现MABR指纹软传感器的一般程序。

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引用次数: 0

Dissolved nitrogen and organic carbon fluxes from urban stormwater runoff and rainfall into harmful algal bloom-prone waters: seasonal variability and insights into dissolved organic matter composition 从城市雨水径流和降雨到有害藻华易发水域的溶解氮和有机碳通量：季节变化和对溶解有机质组成的见解

IF 8.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-10-17 DOI: 10.1016/j.wroa.2025.100431

Amanda Muni-Morgan , Mary G. Lusk , Eban Z. Bean

Constraining the delivery window of labile nitrogen (N) and dissolved organic matter (DOM) loadings from rainfall and stormwater runoff is critical as these inputs can drive harmful algal blooms (HABs) and declines in water quality. Here, we quantified monthly and seasonal fluxes of dissolved N species and dissolved organic carbon (DOC) in rainfall and stormwater runoff to determine the timing of reactive DOM and N delivery to Tampa Bay, a highly urbanized estuary of national significance. Reactive DOM fractions were identified via fluorescence excitation-emission matrix-parallel factor analysis (EEM-PARAFAC). Rainfall and stormwater runoff samples were collected during forty storm events encompassing two wet and dry seasons from four urban residential sites which convey stormwater runoff directly into Tampa Bay. Overall, dissolved organic N (DON) was the dominant N form in runoff across all sites and seasons (up to 83 %), and up to 57 % of total N in rainfall samples. Fluxes of DON and DOC in runoff were the greatest in August – September, which can coincide with HABs in the bay. Rainfall was a source of labile proteinaceous DOM during the wet season only. Labile microbial humic- and protein-like DOM was observed only in the wet season in runoff and driven by increased imperviousness. Dry season DOM was recalcitrant humic and fulvic-like and driven by antecedent dry days. These results highlight the importance of nutrient flux monitoring and the utility of EEM-PARAFAC in identifying critical windows of labile DOM and N delivery which can be used for focused nutrient management efforts.

限制来自降雨和雨水径流的挥发性氮(N)和溶解性有机物（DOM）的输送窗口是至关重要的，因为这些输入可以驱动有害藻华（HABs）和水质下降。在这里，我们量化了降雨和雨水径流中溶解态氮和溶解态有机碳（DOC）的月度和季节性通量，以确定反应性DOM和N向坦帕湾输送的时间，坦帕湾是一个具有全国意义的高度城市化河口。通过荧光激发-发射矩阵-平行因子分析（EEM-PARAFAC）鉴定反应性DOM组分。降雨和雨水径流样本是在40次风暴事件中收集的，包括两个湿季和干季，这些降雨和雨水径流来自四个城市居民区，这些居民区将雨水径流直接输送到坦帕湾。总体而言，溶解有机氮（DON）在所有地点和季节的径流中占主导地位（高达83%），在降雨样品中占总氮的57%。径流中DON和DOC的通量在8 ~ 9月最大，与湾内的赤潮相吻合。降雨仅在雨季是不稳定蛋白DOM的来源。不稳定的微生物腐殖质和蛋白质样DOM仅在雨季在径流中观察到，并且由不透水性增加驱动。旱季DOM表现为顽固性腐殖质和腐殖态，受前期干旱日的驱动。这些结果强调了养分通量监测的重要性，以及EEM-PARAFAC在确定不稳定DOM和N输送的关键窗口方面的作用，这些窗口可以用于集中的养分管理工作。

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引用次数: 0

Widespread decrease of phosphorus and the potential driving mechanisms in Taihu basin’s lakes 太湖流域湖泊磷普遍下降及其潜在驱动机制

IF 8.2 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research X

Pub Date : 2025-10-15 DOI: 10.1016/j.wroa.2025.100430

Weipeng Lin , Na Li , Yunlin Zhang , Kun Shi , Hongwei Guo , Yibo Zhang , Boqiang Qin

A comprehensive monitoring of the spatiotemporal dynamics of total phosphorus (TP) and particulate phosphorus (PP) is vital for mitigating algal blooms and improving lake management. However, it is challenging for characterizing large-scale patterns with traditional in situ methods. As an effective supplement, remote sensing could provide accurate estimation of non-optically active phosphorus, while remains difficult due to limited satellite-ground synchronization data. To address this gap, we established a predictive framework utilizing the Extreme Gradient Boosting (XGBoost) algorithm to retrieve TP and PP using a large in situ dataset and Sentinel-2 MSI imagery (2016−2023) across lakes in the Taihu Basin. The model achieved a mean absolute percentage error of 28.2 % for TP and 28.2 % for PP on an independent validation dataset. Meanwhile, major ecosystem processes driving phosphorus dynamics were elucidated through three representative situations: riverine input, wind-driven resuspension, and algal blooms. Distinct spatial and seasonal patterns were observed for TP and PP in these lakes with higher values in the west, upstream, and summer. Notably, a widespread significant decrease trend in phosphorus concentration was observed in the lakes (P < 0.05). Our findings highlight that the joint controls of external phosphorus loads and in-lake phytoplankton biomass could be vital for algal bloom mitigation. These results indicate a remarkable improvement in phosphorus control and eutrophication management.

全面监测总磷（TP）和颗粒磷（PP）的时空动态对缓解藻华和改善湖泊管理具有重要意义。然而，用传统的原位方法对大尺度模式进行表征是具有挑战性的。作为一种有效的补充，遥感可以提供非光学活性磷的准确估计，但由于卫星-地面同步数据有限，仍然很困难。为了解决这一差距，我们利用极端梯度增强（XGBoost）算法建立了一个预测框架，利用大型原位数据集和Sentinel-2 MSI图像（2016 - 2023）在太湖盆地的湖泊中检索TP和PP。该模型在独立验证数据集上的TP和PP的平均绝对百分比误差分别为28.2%和28.2%。同时，通过河流输入、风驱动再悬浮和藻华三种典型情景，阐明了驱动磷动态的主要生态系统过程。总磷和总磷具有明显的空间和季节特征，在西部、上游和夏季较高。值得注意的是，湖泊中磷浓度普遍呈显著下降趋势（P < 0.05）。我们的研究结果强调，外部磷负荷和湖内浮游植物生物量的联合控制可能对减缓藻华至关重要。这些结果表明在磷控制和富营养化管理方面有了显著的改善。

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