Journal of Hydrology最新文献

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Flood control storage substitution from multiple to single-reservoir and storage reservation strategy for hydropower optimization in cascade reservoir systems 梯级水库系统多库向单库防洪蓄能替代及水电优化的蓄能预留策略
IF 5.9 1区 地球科学
Journal of Hydrology Pub Date : 2025-07-16 DOI: 10.1016/j.jhydrol.2025.133926
Jinnan Zhang, Wei Ding, Min Li, Qianning Wang, Huicheng Zhou
{"title":"Flood control storage substitution from multiple to single-reservoir and storage reservation strategy for hydropower optimization in cascade reservoir systems","authors":"Jinnan Zhang,&nbsp;Wei Ding,&nbsp;Min Li,&nbsp;Qianning Wang,&nbsp;Huicheng Zhou","doi":"10.1016/j.jhydrol.2025.133926","DOIUrl":"10.1016/j.jhydrol.2025.133926","url":null,"abstract":"<div><div>Floodwater utilization is critical for balancing flood control and water conservation in multi-reservoir cascade systems, yet conventional reservoir operations often overlook the potential of storage substitution among different reservoirs. This study develops an extended flood control storage substitution model that accounts for both upstream–downstream interactions and intermediate reservoir regulation, thereby enabling a more precise assessment of flood control tasks substitution across multiple reservoirs. Focusing on the Jinsha River cascade and the Three Gorges Project (TGP), we systematically evaluate how additional flood control storage can be substituted and how to reserve storage to maximize hydropower benefits while maintaining flood safety. Results show that upstream reservoirs can collectively substitute as much as 3.3 billion m3 of TGP’s design flood control storage, raising TGP’s operating water level by up to 8 m and boosting system-wide power generation by 2.8 billion kWh. Moreover, strategic initial storage reservation—particularly assigning smaller additional storage to Baihetan and larger to Xiluodu—further enhances hydropower output without increasing flood risk. These findings underscore the importance of coordinated multi-reservoir operations that harness the “substitution effect” to optimize water concervation and electricity generation. By offering a generalizable model for quantifying reservoir substitution and guiding initial storage reservation decisions, this study provides valuable insights into floodwater resource utilization, promoting strategies to optimize water conservation, improve hydropower generation in multiple reservoirs systems.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133926"},"PeriodicalIF":5.9,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","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 predictive capabilities of neural networks and state space models on hourly water demand forecasting 探索神经网络和状态空间模型在小时需水量预测中的预测能力
IF 5.9 1区 地球科学
Journal of Hydrology Pub Date : 2025-07-16 DOI: 10.1016/j.jhydrol.2025.133317
Jorge E. Pesantez , Laura González , Binbin Li
{"title":"Exploring the predictive capabilities of neural networks and state space models on hourly water demand forecasting","authors":"Jorge E. Pesantez ,&nbsp;Laura González ,&nbsp;Binbin Li","doi":"10.1016/j.jhydrol.2025.133317","DOIUrl":"10.1016/j.jhydrol.2025.133317","url":null,"abstract":"<div><div>Water distribution systems operations rely on water demand prediction to work efficiently. An effective short-term water demand forecasting method may provide water utilities with tools to manage their systems. In this study, we present three widely used methods to forecast water demand using the most prevalent temporal resolution. Multiple time steps of hourly water demand with and without external predictors are predicted using machine and deep learning models, and pattern-based models. A Feed-Forward neural network with and without external predictors (IONET and OONET) is compared against a Long-Short-Term Memory (LSTM) deep neural network and a Linear Gaussian State Space Model (LGSSM). A multiannual dataset from a collaborative water utility is used to test the comprehensive comparison methods. Results show that IONET and OONET outperform both the LSTM and LGSSM models when predicting the next 24 h of water demand with and without exogenous predictors. On certain days, the Feed-Forward neural network reports Nash Sutcliffe Efficiency values of 0.99, LSTM of 0.98, and LGSSM of 0.95. IONET also shows an excellent performance during the weekend days compared to weekdays with NSI values above 0.95, while OONET shows values above 0.90. A Feature Importance analysis based on the initial neural network weight values shows that seasonal-type predictors like ‘hour’ and ‘Is Working day <span><math><mo>?</mo></math></span>’ are consistently the most important predictors followed by lagged demands. Also, hourly weather variables, such as Temperature and Humidity make the neural network models more stable regarding results variability. Finally, LGSSM handles demand uncertainty remarkably by predicting demand within two standard deviation values of true values. This comprehensive study aims to explain how artificial neural networks compare to robust pattern-based models and provides important insights for the effective usage of demand methods in the water management sector.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133317"},"PeriodicalIF":5.9,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A deep learning pipeline for rainfall estimation from surveillance audio 从监控音频中估计降雨量的深度学习管道
IF 5.9 1区 地球科学
Journal of Hydrology Pub Date : 2025-07-15 DOI: 10.1016/j.jhydrol.2025.133921
Manuel Fiallos-Salguero , Soon-Thiam Khu , Mingna Wang
{"title":"A deep learning pipeline for rainfall estimation from surveillance audio","authors":"Manuel Fiallos-Salguero ,&nbsp;Soon-Thiam Khu ,&nbsp;Mingna Wang","doi":"10.1016/j.jhydrol.2025.133921","DOIUrl":"10.1016/j.jhydrol.2025.133921","url":null,"abstract":"<div><div>Rainfall plays a crucial role in hydrological studies and modeling; however, existing measurement methods often face notable errors and limitations. To address these challenges, this study explores the use of widely available devices, such as surveillance cameras, as a cost-effective alternative to enhance the accuracy and spatiotemporal data coverage in urban environments. This study introduces a novel audio-based deep-learning pipeline to enhance data quality and estimate rainfall intensity from environmental audio captured by surveillance cameras. The proposed framework integrates two lightweight deep networks to handle complex data patterns effectively. The first network isolates and restores rainfall signals by suppressing overlapping ambient noise, while the second estimates rainfall intensity from the enhanced acoustic signals. Validation on real-world rainfall events demonstrated the effectiveness of our method in noise reduction, achieving a mean signal-to-noise ratio of 7.28 dB, a spectral subtraction ratio of 6.58 dB, a mean absolute error of 0.038, and a root mean square error of 0.063. With the improved signal quality, our predictive model achieved high accuracy, with R<sup>2</sup> scores ranging from 0.83 to 0.88 compared to rain gauge data. Besides, cumulative rainfall estimations from surveillance audio yielded a mean absolute percentage error ranging from 6.05 to 18.04 %, revealing significant improvements over existing methods. Beyond accuracy, the proposed approach employs robust and lightweight model architectures, especially in the denoising stage, enabling efficient deployment with minimal computational cost to existing surveillance infrastructure. This study highlights the potential of audio-based rainfall estimation for real-time monitoring, offering a scalable and cost-effective solution for urban hydrological applications and disaster response systems.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133921"},"PeriodicalIF":5.9,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Thresholds in land-atmosphere interactions on the Qinghai-Tibet Plateau: impacts of permafrost degradation via vegetation changes 青藏高原陆-气相互作用阈值:植被变化对冻土退化的影响
IF 5.9 1区 地球科学
Journal of Hydrology Pub Date : 2025-07-15 DOI: 10.1016/j.jhydrol.2025.133912
Fang Ji , Shanshui Yuan , Linfeng Fan , Liujun Zhu , Junliang Jin , Yingying Yao , Yanli Liu , Tiesheng Guan , Chunmiao Zheng , Jianyun Zhang
{"title":"Thresholds in land-atmosphere interactions on the Qinghai-Tibet Plateau: impacts of permafrost degradation via vegetation changes","authors":"Fang Ji ,&nbsp;Shanshui Yuan ,&nbsp;Linfeng Fan ,&nbsp;Liujun Zhu ,&nbsp;Junliang Jin ,&nbsp;Yingying Yao ,&nbsp;Yanli Liu ,&nbsp;Tiesheng Guan ,&nbsp;Chunmiao Zheng ,&nbsp;Jianyun Zhang","doi":"10.1016/j.jhydrol.2025.133912","DOIUrl":"10.1016/j.jhydrol.2025.133912","url":null,"abstract":"<div><div>Understanding changes in water balance and land–atmosphere interaction under climate change is crucial for managing water resources in alpine regions, especially in the Qinghai-Tibet Plateau (QTP). Evapotranspiration (ET), a key process in the land–atmosphere interaction, is influenced by permafrost degradation. As the active layer in permafrost regions deepens due to climate warming, the resulting shifts in surface hydrologic connectivity and water storage capacity affect vegetation’s ability to access water, thereby influencing its growth and regulating ET dynamics, though the full complexity of this process remains unclear. This study employs the Budyko-Fu model to assess the spatiotemporal dynamics of ET and the ET ratio (the ratio of ET to precipitation) on the QTP from 1980 to 2100. While ET shows a continuous upward trend, the ET ratio exhibits a non-monotonic pattern, increasing initially and then decreasing. More than two-thirds of permafrost areas on the QTP surpassed the critical ET ratio threshold by 2023, under three emission scenarios. By 2100, nearly all areas are projected to reach the tipping point, with 97 % affected under the SSP5-8.5 scenario. Meadow and steppe regions are expected to encounter this threshold earlier, whereas forested areas will be less affected, with over 80 % unlikely to reach the tipping point by 2100. Basin-level differences are notable: nearly 90 % of the Qaidam basin exceeded the threshold before 2023, compared to less than 50 % in the Yangtze basin. By 2100, more than 80 % of regions in all basins are expected to cross the tipping point due to ongoing permafrost degradation. This study advances understanding of land–atmosphere interactions in alpine regions, providing critical insights for water resource management and improving extreme weather predictions.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133912"},"PeriodicalIF":5.9,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Innovative use of passive and active distributed temperature sensing for estimating infiltration rates in a managed aquifer recharge framework 被动和主动分布式温度传感的创新应用,用于估算受管理含水层补给框架中的渗透速率
IF 5.9 1区 地球科学
Journal of Hydrology Pub Date : 2025-07-15 DOI: 10.1016/j.jhydrol.2025.133848
Robin Glaude , Nataline Simon , Serge Brouyère
{"title":"Innovative use of passive and active distributed temperature sensing for estimating infiltration rates in a managed aquifer recharge framework","authors":"Robin Glaude ,&nbsp;Nataline Simon ,&nbsp;Serge Brouyère","doi":"10.1016/j.jhydrol.2025.133848","DOIUrl":"10.1016/j.jhydrol.2025.133848","url":null,"abstract":"<div><div>Managed Aquifer Recharge (MAR) has become an essential strategy for sustainable water management. Effective design of surface recharge systems relies on the accurate estimation of the soil infiltration capacity. In this context, the use of heat as a tracer has recently gained attention to quantify infiltration dynamics. Particularly, methods relying on Distributed Temperature Sensing (DTS) along fiber optic (FO) cables have been developed to account for the spatial variability of the recharge. This study explores an innovative approach that combines two types of temperature sensing techniques, passive and active-DTS measurements, to evaluate infiltration rates in a MAR pilot site. An FO cable, buried in the loess sediments of an infiltration basin, recorded temperature changes during an infiltration test. First, the passive method monitored natural temperature changes as cooler water filled the basin, enabling the estimation of initial infiltration rates. Twenty-four hours later, the active method involved heating part of the cable to further assess infiltration rates during ongoing infiltration. The analysis of DTS data facilitated the mapping of the recharge within the MAR system. Furthermore, results show that the infiltration rate is significantly higher at the start of the infiltration test, demonstrating that combining passive and active-DTS measurements provides a better understanding of the infiltration dynamics. The findings demonstrate the viability of MAR in loess-based systems at the studied site and highlight the potential of DTS methods for long-term monitoring of MAR operations.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133848"},"PeriodicalIF":5.9,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Changes in runoff and sediment discharge and their influencing factors in the lower Brahmaputra River, Bangladesh 孟加拉国布拉马普特拉河下游径流泥沙变化及其影响因素
IF 5.9 1区 地球科学
Journal of Hydrology Pub Date : 2025-07-15 DOI: 10.1016/j.jhydrol.2025.133924
Ershad Shaik , Daidu Fan
{"title":"Changes in runoff and sediment discharge and their influencing factors in the lower Brahmaputra River, Bangladesh","authors":"Ershad Shaik ,&nbsp;Daidu Fan","doi":"10.1016/j.jhydrol.2025.133924","DOIUrl":"10.1016/j.jhydrol.2025.133924","url":null,"abstract":"<div><div>The conveyance of runoff and sediment from land to oceans via rivers is indispensable for delta sustainability, riverbank stabilization, biogeochemical cycling, and various geophysical processes. Historical variations in runoff discharge have been influenced by multiple factors, which have recently been exacerbated by increased human activities and severe climate fluctuations. The Brahmaputra River delivers substantial runoff and sediment to the ocean; however, the marked variations of these parameters across daily to decadal timescales and their associated influencing factors remain inadequately comprehended. This study investigates runoff and sediment discharge from 2000 to 2022 using hydrological, hydro-meteorological, and hydro-morphological data. Data processing and quality control were performed via multiple regression, the Mann-Kendall test, Sen’s slope test, and double mass curve analysis. A power-law sediment rating curve was employed to detect trend and evaluate the impacts of climate fluctuations and human activities. Recent estimates suggest a sediment discharge of 764 Mt/yr at the Bahadurabad station (SW 46.9L) in the lower Brahmaputra River. The analysis disclosed increasing trends in sediment discharge and suspended sediment concentration, which were independent of runoff discharge fluctuations. Seasonal assessments revealed rising trends during the wet season and declining trends during the dry season, with pronounced monthly discharge variability observed from June to September. Human interventions, such as upstream reservoir construction and land use changes, have significantly altered contemporary sediment discharge and affected downstream channel morphology. The maximum erosion volume was recorded at 3.12 × 10<sup>10</sup> m<sup>3</sup>/yr between 2001 and 2002, whereas deposition peaked at 4.23 × 10<sup>10</sup> m<sup>3</sup>/yr during 2002–2003. Therefore, in the context of the proliferating upstream hydroelectric projects, implementing watershed-scale management strategies and mitigating human-induced pressures on sediment discharge are imperative to protect deltas and promote sustainable development.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133924"},"PeriodicalIF":5.9,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144656649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of a parsimonious large-scale distributed groundwater flow model to quantify inter-catchment groundwater flow 应用简化的大尺度分布地下水流模型量化集水区间地下水流
IF 5.9 1区 地球科学
Journal of Hydrology Pub Date : 2025-07-15 DOI: 10.1016/j.jhydrol.2025.133900
M. Rahman , R. Woods , F. Pianosi , T. Wagener , A. Hartmann
{"title":"Application of a parsimonious large-scale distributed groundwater flow model to quantify inter-catchment groundwater flow","authors":"M. Rahman ,&nbsp;R. Woods ,&nbsp;F. Pianosi ,&nbsp;T. Wagener ,&nbsp;A. Hartmann","doi":"10.1016/j.jhydrol.2025.133900","DOIUrl":"10.1016/j.jhydrol.2025.133900","url":null,"abstract":"<div><div>Inter-catchment groundwater flow (IGF) can affect the quantity and quality of freshwater as it connects topographically separated catchments. Therefore, assessing the space–time variability of IGF is important in water resources management. Traditional measurements of rainfall, evapotranspiration, and runoff can provide indications of IGF through catchment-scale mass balance analysis. However, it is difficult to study the detailed space–time variability of IGF using measurements only. Current rainfall-runoff models often either neglect IGF completely or include an over-simplified representation disregarding the spatial variability of IGF. Three-dimensional groundwater flow models can simulate the space–time variability of IGF, although they require a substantial amount of data and computational resources. In comparison, a two-dimensional model that simulates groundwater flow only horizontally considering depth-averaged hydrogeological properties, demands significantly less subsurface data and computational resources. This study evaluates the performance of a two-dimensional groundwater flow model in simulating IGF across the topographic boundaries of two chalk catchments, namely Kennet (1033 km<sup>2</sup>) and Pang (171 km<sup>2</sup>) located in the South of England. Using publicly available data, our proposed model is capable of reasonably reproducing the variability in observed flow – with Kling-Gupta Efficiencies of 0.91 for Kennet and 0.8 for Pang – as well as groundwater head, achieving a coefficient of determination of 0.85. We demonstrate that our model simulates the space–time variability of IGF and closes the mass balance within the topographic catchment boundaries consistent with observations. We find that a topographic catchment can lose 19 % of its annual precipitation as IGF, supporting the needs for including the space–time variability of IGF in freshwater management.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133900"},"PeriodicalIF":5.9,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144686871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatio-temporal variability of isotopic and chemical tracers in high-elevation water sources, Eastern European Alps 东欧阿尔卑斯高海拔水源中同位素和化学示踪剂的时空变异
IF 5.9 1区 地球科学
Journal of Hydrology Pub Date : 2025-07-14 DOI: 10.1016/j.jhydrol.2025.133914
Matteo Delpero , Stefano Brighenti , Francesca Bearzot , Giulia Bertolotti , Monica Tolotti , Maria Cristina Bruno , Andrea Fischer , Gerfried Winkler , Werner Tirler , Leonardo Cerasino , Francesco Comiti
{"title":"Spatio-temporal variability of isotopic and chemical tracers in high-elevation water sources, Eastern European Alps","authors":"Matteo Delpero ,&nbsp;Stefano Brighenti ,&nbsp;Francesca Bearzot ,&nbsp;Giulia Bertolotti ,&nbsp;Monica Tolotti ,&nbsp;Maria Cristina Bruno ,&nbsp;Andrea Fischer ,&nbsp;Gerfried Winkler ,&nbsp;Werner Tirler ,&nbsp;Leonardo Cerasino ,&nbsp;Francesco Comiti","doi":"10.1016/j.jhydrol.2025.133914","DOIUrl":"10.1016/j.jhydrol.2025.133914","url":null,"abstract":"<div><div>In high-mountain areas, the ratios of stable water isotopes (δ<sup>18</sup>O, δ<sup>2</sup>H) and solute concentrations are often used to infer the relative contribution from snow, ice, and rain waters to runoff. Yet, the strong spatial and temporal tracer variability of these hydrological resources is often overlooked. We characterised the water isotopes and chemistry of hydrological resources in two headwater catchments of South Tyrol (Eastern Italian Alps). During the melt season of 2022 and 2023, we collected bi-weekly water samples from precipitation, snow, snowmelt, as well as ice and runoff on the surface of a small glacier and within the debris of two rock glaciers. We found a sharp isotopic seasonality in snowmelt and precipitation, and a tendency of depletion and fractionation with increasing elevation in both resources. End-member mixing models identified permafrost and glacial ice as the dominant components (over rainwater and snowmelt) of the rock glacier and glacier runoff, respectively. Both runoff types had elevated concentrations of sulphate and trace elements (Sr, Ba, Al, Mn, Ni, Co, Fe, Zn, Li, Y). This is attributed to the intense chemical weathering occurring on abundant freshly ground rock particles on the glacier, and to the melt of solute-enriched perennial ice in rock glaciers. While deep water pathways are generally considered as major locations of chemical reactions, we highlight that even the surface runoff of glaciers and rock glaciers can strongly contribute to the export of toxic elements – e.g. Ni – to aquatic ecosystems. This has important implications for drinking water and environmental quality.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133914"},"PeriodicalIF":5.9,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144622564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hydrologic variability and groundwater age of springs in eastern Oregon and northern Nevada, USA 美国俄勒冈州东部和内华达州北部泉水的水文变异性和地下水年龄
IF 5.9 1区 地球科学
Journal of Hydrology Pub Date : 2025-07-14 DOI: 10.1016/j.jhydrol.2025.133922
Henry M. Johnson
{"title":"Hydrologic variability and groundwater age of springs in eastern Oregon and northern Nevada, USA","authors":"Henry M. Johnson","doi":"10.1016/j.jhydrol.2025.133922","DOIUrl":"10.1016/j.jhydrol.2025.133922","url":null,"abstract":"<div><div>The ecological importance of springs in semiarid regions is far greater than their small size and sparse distribution, yet little is known about the hydrologic functioning of these systems. During 2016–22, 261 springs were visited in the volcanic terrane of eastern Oregon and northern Nevada. When conditions were suitable, measurements of discharge, water temperature, and specific conductance were made, and samples for the analysis of carbon-14, tritium, and water stable isotopes (WSI) were collected. A subset of 60 springs was revisited during different seasons in the same year and during the dry season in multiple years to evaluate variability in discharge, chemistry, and groundwater age. Specific conductance and WSI varied considerably among springs across the study area but were unexpectedly stable across seasons and years at individual springs. Seasonal and interannual variability in spring discharge was related to the residence time of the discharging groundwater. Springs discharging older groundwater (10<sup>3</sup>–10<sup>4</sup> years) had significantly less variability in their discharge compared to springs discharging younger groundwater (10<sup>0</sup>–10<sup>1</sup> years). Variability among springs discharging younger groundwater included cessation of late-summer discharge at 18 % of the repeat-visit springs. A logistic regression model predicted the age of discharging spring water with 89 % accuracy using only the spring latitude, longitude, elevation, and δ<sup>2</sup>H value. This study framework provides a simple, inexpensive, and robust method to provisionally assess the hydrologic behavior of springs having little or no prior information in understudied, semiarid regions across the globe.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"662 ","pages":"Article 133922"},"PeriodicalIF":5.9,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Field verification of the surface renewal method for evapotranspiration measurement in arid agricultural area: The uncertainty of calibration parameter 干旱区地表更新蒸散发测量方法的野外验证:标定参数的不确定度
IF 5.9 1区 地球科学
Journal of Hydrology Pub Date : 2025-07-14 DOI: 10.1016/j.jhydrol.2025.133908
Zhen Wang , Nanjuan Zheng , Bingbing Jiang , Yao Rong , Xin Li , Peijin Wu , Weishu Wang , Chenlong Zhang , Zailin Huo
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