Journal of Hydrology最新文献

Hydrogeological and hydrochemical processes affecting groundwater quality on volcanic islands: Insights from El Hierro (Canary Islands, Spain)

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2025-02-17 DOI: 10.1016/j.jhydrol.2025.132874

Miguel Ángel Marazuela , Jon Jiménez , Carlos Baquedano , Jorge Martínez-León , Samanta Gasco-Cavero , Noelia Cruz-Pérez , Juan Carlos Santamarta , Alejandro García-Gil

Groundwater resources on volcanic islands are vital for societal and economic development, especially due to their scarcity and reliance on agriculture and tourism. This study examines the hydrogeological and hydrochemical processes shaping groundwater quality on volcanic islands, focusing on El Hierro Island (Canary Islands, Spain). The findings reveal that volcanic dykes play a critical role in controlling groundwater flow, creating freshwater reservoirs, and influencing flow paths. Four primary processes affecting groundwater quality are identified: seawater intrusion, volcanic CO₂ emissions, nitrate contamination from fertilizers, and CO₂-driven water–rock interactions. A 3D groundwater flow model shows that the anisotropy in hydraulic conductivity induced by volcanic dykes reduces seawater intrusion in specific areas, thereby protecting groundwater quality. Volcanic CO₂ emissions are found to lower pH, increasing acidity and altering groundwater chemistry. CO₂-driven water–rock interactions result in the dissolution of basaltic minerals, raising concentrations of key rock-forming elements such as sodium (Na), potassium (K), calcium (Ca), magnesium (Mg), and silica (SiO₂) in groundwater. Additionally, nitrate pollution is linked to fertilizer use, particularly in agricultural regions. These insights highlight the need for sustainable water management to address the challenges posed by salinization, pollution, and volcanic activity. This research not only advances understanding of El Hierro’s groundwater system but also offers a framework applicable to other volcanic islands with similar hydrogeological conditions, supporting improved management strategies for freshwater resources.

火山岛上的地下水资源对社会和经济发展至关重要，特别是由于其稀缺性以及对农业和旅游业的依赖性。本研究探讨了影响火山岛地下水质量的水文地质和水化学过程，重点是埃尔希耶罗岛（西班牙加那利群岛）。研究结果表明，火山堤坝在控制地下水流、形成淡水库和影响水流路径方面起着至关重要的作用。研究确定了影响地下水水质的四个主要过程：海水入侵、火山二氧化碳排放、化肥造成的硝酸盐污染以及二氧化碳驱动的水岩相互作用。三维地下水流模型显示，火山堤坝引起的水力传导各向异性减少了特定区域的海水入侵，从而保护了地下水水质。火山二氧化碳排放会降低 pH 值，增加酸度，改变地下水化学性质。二氧化碳驱动的水-岩石相互作用导致玄武岩矿物溶解，提高了地下水中钠（Na）、钾（K）、钙（Ca）、镁（Mg）和二氧化硅（SiO2）等主要成岩元素的浓度。此外，硝酸盐污染与化肥的使用有关，尤其是在农业地区。这些见解凸显了可持续水资源管理的必要性，以应对盐碱化、污染和火山活动带来的挑战。这项研究不仅增进了对埃尔希耶罗地下水系统的了解，还提供了一个适用于具有类似水文地质条件的其他火山岛的框架，支持改进淡水资源的管理战略。

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引用次数: 0

Introducing time series features based dynamic weights estimation framework for hydrologic forecast merging

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2025-02-15 DOI: 10.1016/j.jhydrol.2025.132872

Md Rasel Sheikh , Paulin Coulibaly

Accurate and reliable hydrologic forecasting through multi-model ensemble averaging is crucial for reducing uncertainty, which aids in effective water resources management and flood risk mitigation. This study addresses the research gap of the limited application of time-varying weights in hydrologic forecast merging, as existing methods rely on weights that do not adapt to changes in model performance over time. We propose a novel framework utilizing time series features (TSFs) of daily streamflow and Bayesian model averaging (BMA) to dynamically adjust merging weights, referred to as TSF-Ws. The methodology involves generating ensemble forecasts, adjusting weights dynamically using TSFs, and comparing the accuracy of these forecasts with traditional streamflow-based weights, referred to as Q-Ws, merging across different forecast horizons. The results demonstrate that TSF-Ws significantly improve forecast performance, particularly for longer lead times, indicating more accurate and reliable deterministic and probabilistic forecasts. Moreover, TSF-Ws based merging achieves higher performance than Q-Ws for deterministic high and low flow forecasts. Furthermore, this newly developed approach reduces the uncertainty bound for probabilistic peak flow predictions. Overall, the proposed TSF-Ws estimation framework can serve as a robust tool for enhancing hydrologic forecast merging, providing significant improvements in accuracy and reliability over traditional methods. These improvements have important implications for water resource management and flood risk assessment.

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引用次数: 0

Understanding the linkages between seasonal variability and annual trends in groundwater levels in alluvial aquifers of Uttar Pradesh, India

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2025-02-13 DOI: 10.1016/j.jhydrol.2025.132858

Om Jee, Lalit Kumar Choudhary, Mayank Katiyar, Tushar Apurv

In this study, we analyse the seasonal variability of groundwater table depths (GWTDs) to understand the drivers of annual groundwater trends in the state of Uttar Pradesh (UP), which has the largest groundwater withdrawal in India. We perform the analysis using observations of GWTDs in wells located in shallow aquifers during 2001–2019 without excluding wells with missing observations. We find higher seasonal variability of GWTD in southeast UP as compared to northwest UP due to higher groundwater recharge during monsoon. While there is significant groundwater withdrawal for irrigation in the dry season in both regions, it exceeds the monsoon recharge in northwest UP leading to an increasing trend in GWTD in the region. The groundwater depletion in shallow aquifers of northwest UP has led to a decrease in the number of shallow tubewells and a sharp increase in the number of deep tubewells in the region. There is a smaller increase in GWTDs in southeast UP as compared to northwest UP, as the groundwater abstraction in the non-monsoon season has been balanced by the high recharge received during monsoon. However, there has been a rapid increase in the number of both shallow and deep tubewells in southeast UP, which could accelerate groundwater depletion in the future. We also find that the wells with missing observations have a significant contribution to the depletion trend observed in northwest UP which highlights the importance of incorporating information from wells with missing observations in groundwater assessment studies.

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引用次数: 0

An individual tree stemflow model integrating branch-leaf cluster structure and drainage processes from multi-platform LiDAR scanning

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2025-02-12 DOI: 10.1016/j.jhydrol.2025.132838

Yupan Zhang , Yiliu Tan , Chenwei Chiu , Yuichi Onda , Takashi Gomi

Stemflow (

SF

) is essential for directing and concentrating intercepted water and nutrients from the canopy layer to the forest soil and root systems. Stemflow generation results from a complex series of dynamic interactions and is influenced more by plant structure than by meteorological conditions. However, there is still a gap in research on modeling stemflow using canopy structure. Investigating the roles and importance of structural metrics of individual canopy branches and leaves will contribute to our understanding of stemflow dynamics. In this study, we fused drones and terrestrial light detection and ranging (LiDAR) scanning to reconstruct the multilayered structures of three Japanese cypress trees. Using the point-cloud data, visible branches were fitted using line segments, whereas invisible branches within the canopy were estimated using a tree-form coefficient. Finally, the branch angles, lengths, and leaf cluster volumes were extracted for all branches to represent canopy information. The average branch number, inclination, length, and leaf volume were 81, 76.83°, 0.606 m, and 0.89 m³/m², respectively. Innovatively, we computed the connectivity between each branch and stem and introduced a physical runoff model to simulate stemflow production for individual leaf clusters after branch funneling. Compared with four years of observational data, our model achieved acceptable accuracy, with an R² = 0.6. Our research integrated a fine-scale architectural structure with canopy metrics influencing stemflow by employing physical models to elucidate the discrepancies in stem-scale stemflow yields. Our approach helps to gain a better understanding of the effect of canopy on forest hydrology and biogeochemical processes.

茎流对于将截流的水分和养分从树冠层引导并集中到森林土壤和根系至关重要。茎流的产生是一系列复杂的动态相互作用的结果，受植物结构的影响比受气象条件的影响更大。然而，利用冠层结构模拟茎流的研究仍是空白。研究单个冠层枝叶结构指标的作用和重要性将有助于我们理解茎流动力学。在这项研究中，我们融合了无人机和陆地光探测与测距（LiDAR）扫描，重建了三棵日本柏树的多层结构。利用点云数据，用线段拟合可见枝条，用树形系数估算树冠内的不可见枝条。最后，提取所有树枝的角度、长度和叶簇体积，以表示树冠信息。平均枝条数、倾斜度、长度和叶丛体积分别为 81、76.83°、0.606 m 和 0.89 m3/m2。我们创新性地计算了每个枝条与茎干之间的连通性，并引入物理径流模型模拟枝条漏斗化后单个叶簇的茎流产生情况。与四年的观测数据相比，我们的模型达到了可接受的精度，R2 = 0.6。我们的研究通过采用物理模型，将精细尺度的建筑结构与影响茎流的冠层指标结合起来，以阐明茎秆尺度茎流产量的差异。我们的方法有助于更好地理解树冠对森林水文和生物地球化学过程的影响。

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引用次数: 0

Estimating hydraulic properties and residence times of unconfined aquifers

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2025-02-10 DOI: 10.1016/j.jhydrol.2025.132861

Thomas A. McMahon, Rory J. Nathan

When detailed groundwater data are unavailable to determine unconfined aquifer characteristics, lumped parameter methods are used to estimate hydraulic properties (initial water table depth, D, saturated hydraulic conductivity, k₀, for a given value of drainable porosity, f) and residence time (drainage time scale), τ. Current procedures require the construction of recession-slope plots (first derivative of recessional flows versus flow) and their interpretation to estimate the parameters in two of the three expressions of the Boussinesq formulation. A novel procedure is proposed to estimate D and k₀ and, separately, τ based on the maximum recession constant, a parameter which is estimated using an objective approach that is easily automated. Another novel aspect of the proposed approach is the recognition that the variability in D and τ is a measure of aleatory uncertainty and, therefore, the results can be specified in terms of non-exceedance cumulative frequencies to represent catchment behaviour under different climatic conditions. The methods are applied to five very different catchments, and estimated values of D, k₀ and τ are compared with field or modelled estimates using current methods.

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引用次数: 0

Multi-resolution reconstruction of longitudinal streambed footprints using embedded sparse convolutional autoencoders

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2025-02-10 DOI: 10.1016/j.jhydrol.2025.132852

Yifan Yang , Zihao Tang , Dong Shao , Zhonghou Xu

This study introduces an embedded convolutional autoencoder (CAE) architecture designed for the multi-resolution reconstruction of longitudinal streambed footprints as sparse heatmaps. Three standalone but interrelated CAEs are trained to achieve double-upsampling, enhancing the heatmaps’ spatial resolution and data measurement resolution simultaneously. Transfer learning improves model training efficiency by incorporating a trained model into a larger model at the next level. Cascading the CAEs facilitates a direct pathway for enhancing data quality from the coarsest inputs and recovering fine-grained patterns. Systematic evaluations prove the CAEs’ reliability in working individually and collectively. Robustness analyses demonstrate the model’s ability to retain field reconstructive quality when subjected to various corrupted inputs, including bulk data loss and spiky noise interference with local measurements at different streambed sections. The model’s capacity benefitted from including attention mechanisms (convolutional block attention modules, CBAM) and the adaptive training strategy using crafted loss functions, ensuring efficient extraction and learning of sparse dense patterns and fast reconstruction of physically sound fields. The model architecture’s flexibility and scalability are highlighted, proving it suitable for more complex geophysical systems with higher dimensions. The proposed embedded CAE architecture provides a foundational tool for creating digital surrogates of river courses and similar entities, which often involve inherently sparsely distributive data in both spatial and temporal domains.

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引用次数: 0

A reassessment of the history of the temporal resolution of rainfall data at the global scale 重新评估全球降雨数据时间分辨率的历史

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2025-02-10 DOI: 10.1016/j.jhydrol.2025.132841

Renato Morbidelli , Alessia Flammini , Odinakachukwu Echeta , Raffaele Albano , Gabriel Anzolin , David Zumr , Wafae Badi , Nicola Berni , Miriam Bertola , José María Bodoque , Theo Brandsma , Arianna Cauteruccio , Andrés Cesanelli , Luigi Cimorelli , Pedro L.B. Chaffe , Vinicius B.P. Chagas , Jacopo Dari , Cristiano das Neves Ameida , Andrés Díez-Herrrero , Nolan Doesken , Carla Saltalippi

The availability of rainfall data is of paramount importance in most hydrological studies and is directly dependent on the type of sensors used as well as the recording systems adopted. In fact, these elements have a crucial influence on the temporal resolution (t_a) of stored rainfall data, which in turn affects the types of analysis that can be conducted, making knowledge of t_a on a global scale of particular interest to the entire scientific community and also for engineers. For rain gauges installed more than 70–80 years ago the earliest recordings were manual with coarse temporal resolution. Instead, mechanical recordings on paper rolls began in the early decades of the last century, while digital recordings began only in the last four decades, making analyses requiring long time series of sub-hourly rainfall data impossible. This paper presents a significant update of a previous historical analysis of the time-resolution of t_a (Morbidelli et al., 2020) by which 126,438 stations, located in 77 different geographical areas, were collected into a database, quintupling the number of stations of the previous database and including areas not considered before. It was found that a high percentage of rain gauge stations currently provides useful data at any time-resolution, but there is an increasing development of rainfall networks characterized by very inexpensive, volunteer-operated stations that acquire one data per day (t_a = 1440 min), allowing only limited rainfall-related analyses. The invitation for all rain gauge network operators to contribute additional data to the database remains open.

{"title":"A reassessment of the history of the temporal resolution of rainfall data at the global scale","authors":"Renato Morbidelli , Alessia Flammini , Odinakachukwu Echeta , Raffaele Albano , Gabriel Anzolin , David Zumr , Wafae Badi , Nicola Berni , Miriam Bertola , José María Bodoque , Theo Brandsma , Arianna Cauteruccio , Andrés Cesanelli , Luigi Cimorelli , Pedro L.B. Chaffe , Vinicius B.P. Chagas , Jacopo Dari , Cristiano das Neves Ameida , Andrés Díez-Herrrero , Nolan Doesken , Carla Saltalippi","doi":"10.1016/j.jhydrol.2025.132841","DOIUrl":"10.1016/j.jhydrol.2025.132841","url":null,"abstract":"<div><div>The availability of rainfall data is of paramount importance in most hydrological studies and is directly dependent on the type of sensors used as well as the recording systems adopted. In fact, these elements have a crucial influence on the temporal resolution (t<sub>a</sub>) of stored rainfall data, which in turn affects the types of analysis that can be conducted, making knowledge of t<sub>a</sub> on a global scale of particular interest to the entire scientific community and also for engineers. For rain gauges installed more than 70–80 years ago the earliest recordings were manual with coarse temporal resolution. Instead, mechanical recordings on paper rolls began in the early decades of the last century, while digital recordings began only in the last four decades, making analyses requiring long time series of sub-hourly rainfall data impossible. This paper presents a significant update of a previous historical analysis of the time-resolution of t<sub>a</sub> (<span><span>Morbidelli et al., 2020</span></span>) by which 126,438 stations, located in 77 different geographical areas, were collected into a database, quintupling the number of stations of the previous database and including areas not considered before. It was found that a high percentage of rain gauge stations currently provides useful data at any time-resolution, but there is an increasing development of rainfall networks characterized by very inexpensive, volunteer-operated stations that acquire one data per day (t<sub>a</sub> = 1440 min), allowing only limited rainfall-related analyses. The invitation for all rain gauge network operators to contribute additional data to the database remains open.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132841"},"PeriodicalIF":5.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Increased frequency and severity of global compound dry and heat wave events in a daily scale

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2025-02-10 DOI: 10.1016/j.jhydrol.2025.132857

Lijun Jiang , Jiahua Zhang , Linyan Bai , Jiaqi Han , Xianglei Meng , Dan Cao , Ali Salem Al-Sakkaf

Compound dry and hot events have severe impacts on human health, ecosystems, and social economy. However, daily-scale compound dry and heat wave events (CDHWs), which enable a more detailed analysis of CDHWs changes and their contributing factors, have not been fully investigated across global land regions. Here, we examine the spatiotemporal variations in the frequency, duration, dry conditions, and excessive heat of CDHWs from 1961 to 2020, as well as the occurrence probability of extreme CDHWs and the effect of individual heat wave and dry events on their probability changes. Results show widespread intensification of CDHWs in different aspects, particularly in western North America, eastern South America, Europe, northern Africa, and parts of Asia. Notably, extreme CDHWs generally exhibit more severe changes during 1991–2020 compared to 1961–1990. Furthermore, nearly all global land regions have experienced significant reductions in the return period of extreme CDHWs between these two periods, with decreases exceeding 60 %. Variations in heat wave events play a dominant role in contributing the frequent occurrence of extreme CDHWs, while changes in dry events contribute as well, with an obviously weaker impact. This study enhances the understanding of compound dry and heat wave events on a finer temporal scale and emphasizes more attention should be paid to extreme compound events.

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引用次数: 0

Pre-whitened wavelet analysis to evaluate the relationship between environmental factors and groundwater responses at a delta plain in the downstream region of Nackdong river Basin, South Korea

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2025-02-10 DOI: 10.1016/j.jhydrol.2025.132856

Eunhyung Lee , Sanghyun Kim

Groundwater variation in a delta plain at estuarine rivers is important for agricultural productivity and the development of a suburban area. A time–frequency analysis is necessary for better understanding the causal relationship between groundwater level and salinity and hydrological and meteorological conditions. The conventional wave analysis requires further development to properly handle the common driver if two time series share identical stochastic structures. As part of this study, we developed an improved wavelet coherence analysis to delineate causality configurations using a pre-whitening scheme. Residual series of river water and groundwater level were obtained by using the structure of a time series model for air pressure. Pre-whitening wavelet analysis removed the majority of common coherences between river water level and groundwater responses within 6 h. Additionally, substantial air pressure wavelet coherences (between 10–100%) were eliminated by the proposed method for time intervals exceeding 6 h. As a result of applying the proposed method to groundwater level and salinity responses, it has been demonstrated that eliminating the stochastic structure can help identify time-dependent impacts of extreme events, as well as improve our understanding of coherence relationships across a wide range of time and frequency scales.

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引用次数: 0

Enhancing hydrological model performance through multi-source open-data utilization in the highly managed, data-scarce basin

IF 5.9 1区地球科学 Q1 ENGINEERING, CIVIL

Journal of Hydrology

Pub Date : 2025-02-10 DOI: 10.1016/j.jhydrol.2025.132860

Jiayan Zhang , Zhihong Liu , Yu Li , Yanhong Dou , Mingjun Wang , Huicheng Zhou , Bo Xu

Developing reliable hydrological models in highly managed basins is challenging due to multiple sources of uncertainty. The advent of open-source platforms providing publicly available datasets has the potential to mitigate these uncertainties. However, a comprehensive understanding of how these datasets impact model performance is lacking. This study takes the lower part of the YongDing River Basin (LYDRB) in northern China as a case to develop a hydrological model leveraging various open-source datasets, including water withdrawal activities, satellite-based streamflow, and remotely sensed evaporation. We design four comparative experiments to assess the impact of utilizing different data combinations on model performance. We find that the satellite-based streamflow data has the most significant impact, greatly enhancing streamflow simulation performance, with the NSE improving from the range of −1.5 to −0.39 to the range of 0.48 to 0.54 and the PBIAS improving from the range of −28 % to −63 % to the range of −3 % to −10 %. Water withdrawal data and remotely sensed evaporation data contribute to smaller performance improvements. The use of these two datasets may lead to poorer performance during the calibration period but better performance during the validation period. Specifically, remotely sensed evaporation data enhances model performance in streamflow simulation during the validation period, with NSE increasing by up to 0.1, although it results in a decrease of up to 0.04 in NSE during the calibration period. Overall, this study provides valuable insights for developing reliable and low-uncertainty hydrological models in highly managed and data-scarce basins by effectively utilizing various information sources.

由于存在多种不确定因素，在管理严格的流域开发可靠的水文模型具有挑战性。提供公开数据集的开源平台的出现有可能减轻这些不确定性。然而，目前还缺乏对这些数据集如何影响模型性能的全面了解。本研究以中国北方永定河流域（LYDRB）下游为案例，利用各种开源数据集（包括取水活动、基于卫星的河水流量和遥感蒸发）开发水文模型。我们设计了四个对比实验来评估利用不同数据组合对模型性能的影响。我们发现，基于卫星的溪流数据影响最大，大大提高了溪流模拟性能，NSE 从 -1.5 到 -0.39 的范围提高到 0.48 到 0.54 的范围，PBIAS 从 -28 % 到 -63 % 的范围提高到 -3 % 到 -10 % 的范围。取水数据和遥感蒸发数据对性能改善的贡献较小。使用这两个数据集可能会导致在校准期间性能较差，但在验证期间性能较好。具体而言，遥感蒸发数据可提高模型在验证期的河流模拟性能，NSE 最多可提高 0.1，但在校准期 NSE 最多会降低 0.04。总之，这项研究为在高度管理和数据稀缺的流域通过有效利用各种信息源开发可靠和低不确定性的水文模型提供了宝贵的见解。

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引用次数: 0