Journal of Hydrology最新文献_第6页

A wetland partitioning method based on the hydrological connectivity and the underlying causes of their occurrence 基于水文连通性及其发生原因的湿地分区方法

IF 6.3 1区地球科学

Journal of Hydrology Pub Date : 2026-05-01 Epub Date: 2026-03-03 DOI: 10.1016/j.jhydrol.2026.135239

Weize Wang , Peng Hu , Zefan Yang , Qin Yang , Jianhua Wang , Dandong Cheng , Jiwei Zhu

{"title":"A wetland partitioning method based on the hydrological connectivity and the underlying causes of their occurrence","authors":"Weize Wang , Peng Hu , Zefan Yang , Qin Yang , Jianhua Wang , Dandong Cheng , Jiwei Zhu","doi":"10.1016/j.jhydrol.2026.135239","DOIUrl":"10.1016/j.jhydrol.2026.135239","url":null,"abstract":"<div><div>Human activities have reduced hydrological connectivity in many wetlands, leading to weakening of the mediating role of water in facilitating the diffusion and exchange of materials, energy, and ecological information, resulting in ecosystem fragmentation. In this study, hydrodynamic modelling, characteristic value extraction, and spatially constrained hierarchical clustering were employed to develop a wetland partitioning method based on hydrological connectivity. The spatial variations in hydrologically connected subareas in different hydrological years and the impacts of hydraulic engineering and topography on hydrological connectivity in the Zhalong Wetland, China, were investigated. The results indicated that hydrologically connected subareas in wetlands can be delineated via this method. In wet year, the study area can be divided into 7 hydrologically connected subareas. Moreover, the number of subareas is larger in normal and dry years (11 and 12 hydrologically connected subareas, respectively) than in wet year. These subareas are the result of erosion due to reservoir discharge, obstruction of roads and ditches, and natural topography. The surface water quality parameters in wetlands vary among hydrologically connected subareas owing to differences in flow patterns, source‒sink dynamics, and aquatic vegetation distributions. Compared with field sampling and statistical clustering, this method requires substantially less data, which makes it potentially applicable in data-scarce regions. This study provides technical support for hydrological and ecological monitoring and wetland management.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"671 ","pages":"Article 135239"},"PeriodicalIF":6.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147360415","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

Plant-water interactions shape coastal dune evolution in a changing climate 植物-水的相互作用在气候变化中塑造了海岸沙丘的演变

IF 6.3 1区地球科学

Journal of Hydrology Pub Date : 2026-04-01 Epub Date: 2026-01-10 DOI: 10.1016/j.jhydrol.2026.134921

Jan-Markus Homberger , Glenn Strypsteen , Abbey L. Marcotte , Sasja van Rosmalen , Michel Riksen , Juul Limpens

{"title":"Plant-water interactions shape coastal dune evolution in a changing climate","authors":"Jan-Markus Homberger , Glenn Strypsteen , Abbey L. Marcotte , Sasja van Rosmalen , Michel Riksen , Juul Limpens","doi":"10.1016/j.jhydrol.2026.134921","DOIUrl":"10.1016/j.jhydrol.2026.134921","url":null,"abstract":"<div><div>Coastal dunes provide critical flood protection for low-lying coastal areas, raising the question of whether these defenses can be maintained in a future climate. Dune development is driven by interactions between sediment transport and vegetation growth. Both processes are affected by climate, notably changes in precipitation. However, tools to assess future precipitation impacts on dune development remain limited.</div><div>To address this, we coupled an ecohydrological model with a dune development model (AeoLiS) to simulate plant–water interactions and their influence on dune development. After validating the coupled model against observed dune volumes, we explored how rainfall changes affect dunes formed by planting marram grass and spontaneously forming embryo dunes. We compared dune development under extremely wet, dry, and future climate scenarios against a baseline, running 100 stochastic simulations for each.</div><div>Our results show that wet conditions promote rapid vegetation growth, increasing embryonic and artificial dune volumes and crest heights. Dry conditions enhanced inland sediment transport and increased variability in development. Under future projections, embryo dune volumes increased by 2.7% and artificial dune volumes by 0.4%. Compared to embryo dunes, artificial dunes were more affected by extremely dry conditions, reducing the median volume by 1.6% and crest height by 21 cm.</div><div>Overall, our findings highlight rainfall as a key driver of dune-building through its control on vegetation growth, which mediates sediment trapping. Therefore, coastal management strategies aimed at dune stabilization may benefit from increased rainfall, while those that rely on active, mobile dune systems may become less effective under enhanced vegetation growth.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"668 ","pages":"Article 134921"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957205","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

Physics-constrained neural network for daily pan evaporation forecasting in hyper-arid climates optimized by the Bat Algorithm 基于Bat算法优化的超干旱气候条件下蒸发皿蒸发量日预报的物理约束神经网络

IF 6.3 1区地球科学

Journal of Hydrology Pub Date : 2026-04-01 Epub Date: 2026-01-12 DOI: 10.1016/j.jhydrol.2026.134936

Abdullah A. Alsumaiei

{"title":"Physics-constrained neural network for daily pan evaporation forecasting in hyper-arid climates optimized by the Bat Algorithm","authors":"Abdullah A. Alsumaiei","doi":"10.1016/j.jhydrol.2026.134936","DOIUrl":"10.1016/j.jhydrol.2026.134936","url":null,"abstract":"<div><div>With soaring evaporation rates and shrinking freshwater resources, hyper-arid regions require accurate instruments to measure atmospheric water loss, making pan evaporation forecasting a crucial aspect of contemporary water resources management. This paper proposes a hybrid framework that integrates the Physics-Constrained Neural Network (PCNN) and the Bat Algorithm (BA) to predict daily pan evaporation in Kuwait. The proposed PCNN incorporates physical constraints into the loss function, including vapor pressure deficit, net radiation, and aerodynamic resistance based on surface energy balance theory, to ensure both predictive accuracy and physical plausibility, unlike traditional machine learning models. Daily meteorological data and Class A pan evaporation data from two different stations, Kuwait International Airport (KIA) and Abdaly, are used to train and test the model. The obtained results demonstrate a high accuracy and good generalizability with RMSE of 0.904 mm/day, 1.186 mm/day, and <em>R</em><sup>2</sup> of 0.953 and 0.884 at KIA and Abdaly, respectively. The model’s consistency with thermodynamic principles is also confirmed by a new metric called physics residual RMSE (PRMSE). Tests of robustness in the presence of synthetic noise show that the model is insensitive to uncertainty in its inputs. The added value of the PCNN–BA framework is demonstrated through systematic comparison with established data-driven models, showing that the proposed approach achieves competitive predictive accuracy while explicitly enforcing physical consistency. The resulting framework is computationally efficient and scalable, making it suitable for hyper-arid environments and directly applicable to desert agriculture, irrigation scheduling, and water resources management under data-limited and water-scarce conditions.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"668 ","pages":"Article 134936"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957200","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

Semi-analytical modeling of transient flow to a partially penetrating variable-discharge well in a complex aquifer-aquitard system 复杂含水层-含水层系统部分穿透变流量井瞬态流动半解析建模

IF 6.3 1区地球科学

Journal of Hydrology Pub Date : 2026-04-01 Epub Date: 2026-01-13 DOI: 10.1016/j.jhydrol.2026.134967

Yabing Li , Zhifang Zhou , Ning Zhang

{"title":"Semi-analytical modeling of transient flow to a partially penetrating variable-discharge well in a complex aquifer-aquitard system","authors":"Yabing Li , Zhifang Zhou , Ning Zhang","doi":"10.1016/j.jhydrol.2026.134967","DOIUrl":"10.1016/j.jhydrol.2026.134967","url":null,"abstract":"<div><div>Accurate prediction of transient flow and vertical leakage in multilayer aquifer systems is critical for sustainable groundwater management and contaminant risk assessment. Conventional groundwater models often simplify subsurface conditions by assuming homogeneous aquitards, isotropic aquifers, constant pumping rates, and idealized boundary conditions, limiting their applicability in realistic field settings. This study develops semi-analytical solutions for three-dimensional transient flow toward a partially penetrating well under variable discharge in a complex aquifer-aquitard system. The model incorporates aquifer anisotropy and vertical heterogeneity in aquitard hydraulic conductivity (<em>K</em>) and specific storage (<em>S<sub>s</sub></em>). It considers representative upper boundary conditions: constant head, water table with delayed drainage, and no-flux. Solutions are derived in the Laplace-Hankel domain and numerically inverted to quantify drawdown and leakage response. Results show that stronger aquitard <em>S<sub>s</sub></em> decay enhances early- and mid-time drawdowns, while greater aquitard <em>K</em> decay limits vertical leakage and decreases aquitard and upper aquifer drawdowns. Compared with a homogeneous aquitard <em>K</em>, increasing dimensionless decay exponent of <em>K</em> from 1.5 to 2.5 reduces stable-stage leakage rates by 45% to 86%. Aquifer anisotropy intensifies vertical hydraulic gradient contrasts and promotes drawdown accumulation. Variable pumping induces nonlinear leakage responses and transient flow reversals. Boundary conditions significantly influence stable-stage leakage rates: compared to the constant-head boundary, the leakage rate at the aquifer-aquitard interface is 3% lower under the water table boundary and 10% lower under the no-flux boundary. The model offers a robust tool for evaluating leakage-driven risks to groundwater quality in complex, vertically heterogeneous hydrogeologic systems such as glacial and alluvial basins.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"668 ","pages":"Article 134967"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962385","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 Discrete fractal set (DFS) method for high–accuracy reconstruction and nonlinear flow simulation in rough rock fractures 基于离散分形集（DFS）的粗糙岩体裂隙高精度重建与非线性流动模拟

IF 6.3 1区地球科学

Journal of Hydrology Pub Date : 2026-04-01 Epub Date: 2026-01-22 DOI: 10.1016/j.jhydrol.2026.135001

Jinjie Liu, Long Xu, Fusheng Zha, Shan Wu, Qiao Wang, Yuan Zhang

{"title":"A Discrete fractal set (DFS) method for high–accuracy reconstruction and nonlinear flow simulation in rough rock fractures","authors":"Jinjie Liu, Long Xu, Fusheng Zha, Shan Wu, Qiao Wang, Yuan Zhang","doi":"10.1016/j.jhydrol.2026.135001","DOIUrl":"10.1016/j.jhydrol.2026.135001","url":null,"abstract":"<div><div>Understanding fluid flow through rough rock fractures is essential in numerous geoscientific and engineering applications. Surface roughness introduces enhanced viscous dissipation and inertial effects, thereby amplifying nonlinear flow behavior. Accurate reconstruction of rough fracture geometries, followed by their integration into nonlinear flow models, is crucial for capturing these effects with higher accuracy. This study presents a Discrete Fractal Set (DFS) method for reconstructing rough fracture surfaces and evaluating their influence on nonlinear flow. The approach segments rough profiles into Basic Rough Cells (BRCs), which are then grouped into ordered segments based on a peak ratio criterion. The Weierstrass–Mandelbrot (W–M) function is subsequently applied to each segment for localized fractal refinement. Sensitivity analysis reveals that a peak ratio threshold of 1.0 achieves an optimal balance between reconstruction accuracy and robustness. The DFS method, validated against standard JRC profiles and natural fracture surfaces, outperforms the conventional W–M approach in reconstruction quality, achieving MSE values consistently below 0.11 compared with values often exceeding 0.7 for the W–M equation. To characterize flow behavior, the generated aperture and hydraulic aperture fields are incorporated into the Forchheimer equation, yielding the DFS–Forchheimer equation. Comparative validation against both experimental and numerical results demonstrates that the proposed model improves outlet flow rate prediction accuracy by approximately 4.15% and reduces prediction variability, confirming its enhanced reliability in nonlinear flow simulation.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"668 ","pages":"Article 135001"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025917","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

Impacts of storm events on watershed phosphorus critical source area identification based on SWAT model 基于SWAT模型的暴雨事件对流域磷临界源区识别的影响

IF 6.3 1区地球科学

Journal of Hydrology Pub Date : 2026-04-01 Epub Date: 2026-01-27 DOI: 10.1016/j.jhydrol.2026.135032

He Zhao , Xiaorong Liu , Xinzhong Du , Qiuliang Lei , Hongbin Liu

{"title":"Impacts of storm events on watershed phosphorus critical source area identification based on SWAT model","authors":"He Zhao , Xiaorong Liu , Xinzhong Du , Qiuliang Lei , Hongbin Liu","doi":"10.1016/j.jhydrol.2026.135032","DOIUrl":"10.1016/j.jhydrol.2026.135032","url":null,"abstract":"<div><div>Excess phosphorus (P) loss has contributed to the eutrophication of freshwater. Determining critical source areas (CSAs) for P loss is an important prerequisite for the cost-effective control and management of regional water environmental pollution. The changes of distribution for P CSAs in response to seasonal hydrological conditions have been revealed, but the variations of P CSAs under different storm events remain understudied. Here, we investigated the impacts of storm events on P CSAs identification in an agricultural headwater watershed in southwest China based on the SWAT model integrated with the cumulative pollution load curve method. The results showed that TP loss dynamics in the watershed are predominantly event-driven. Storm-event-based analysis identified more subbasins as CSAs and potential risk areas compared to CSAs identification on the annual average scale. Additionally, as storm event levels increased, the number of CSAs, their TP load intensity, and their contribution to total pollution significantly rose. In addition to storm events, other key factors influencing P loss and the spatial distribution of CSAs include slope, soil type, and land use, among which cultivated lands with anthropogenic fertilizer inputs were primary contributors to P loss. The study confirms the dominant role of storm events in P export and underscores the importance of considering storm events to accurately identify the P CSAs at the watershed scale.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"668 ","pages":"Article 135032"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146056301","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 standardized saltwater intrusion risk index for estuaries in the United States 美国河口标准化盐水入侵风险指数

IF 6.3 1区地球科学

Journal of Hydrology Pub Date : 2026-04-01 Epub Date: 2026-02-08 DOI: 10.1016/j.jhydrol.2026.135108

Yuxun Li , Song Feng , Yating Gao , Wei Huang

{"title":"A standardized saltwater intrusion risk index for estuaries in the United States","authors":"Yuxun Li , Song Feng , Yating Gao , Wei Huang","doi":"10.1016/j.jhydrol.2026.135108","DOIUrl":"10.1016/j.jhydrol.2026.135108","url":null,"abstract":"<div><div>Saltwater intrusion (SWI), the landward migration of saline water into freshwater zones in estuaries, threatens coastal freshwater availability, ecological stability, and coastal resilience. To quantitatively assess SWI risk in estuarine systems, this study developed the standardized saltwater intrusion risk index (SSIRI) for estuaries in the United States. We first calculated upstream migration distance of the saltwater front, referred to as the saltwater intrusion distance (SID), for six estuaries in the United States, and then applied a multivariate regression analysis to identify its contributing factors. Results suggested that the salinity and discharge are the primary factors on daily SID, exerting opposite effects. The impact of other hydrometeorological factors appears to be local and secondary. To construct the SSIRI, differences of the normalized salinity and discharge were fitted to six statistical distributions. The Pearson Type III distribution provided the best fit and was subsequently used to develop a standardized, dimensionless daily SSIRI.</div><div>Evaluation results showed that SSIRI strongly correlates with daily SID in six U.S. estuaries and is more effective than the Coastal Salinity Index in describing SID. Additionally, this study provides evidence that the SSIRI can also effectively track SID variations in estuaries in other continents. Further analysis suggested that the SSIRI can reliably capture saltwater intrusion dynamics across both short-term and long-term timescales. Therefore, the SSIRI can be used for assessing saltwater intrusion risks across diverse estuarine environments. It provides a reliable basis for risk assessment, frequency analysis, and early warning, underscoring its broad applicability in estuarine monitoring and management.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"669 ","pages":"Article 135108"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138885","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

Spatiotemporal variation of net anthropogenic phosphorus input and its delayed effect on lake phosphorus in a plateau lake of southwestern China 西南高原湖泊人为净磷输入的时空变化及其对湖泊磷的延迟效应

IF 6.3 1区地球科学

Journal of Hydrology Pub Date : 2026-04-01 Epub Date: 2026-01-17 DOI: 10.1016/j.jhydrol.2026.134969

Huanyao Liu , Cen Meng , Shuaibing Wang , Yuyuan Li , Hui Fu , Wei Ouyang

{"title":"Spatiotemporal variation of net anthropogenic phosphorus input and its delayed effect on lake phosphorus in a plateau lake of southwestern China","authors":"Huanyao Liu , Cen Meng , Shuaibing Wang , Yuyuan Li , Hui Fu , Wei Ouyang","doi":"10.1016/j.jhydrol.2026.134969","DOIUrl":"10.1016/j.jhydrol.2026.134969","url":null,"abstract":"<div><div>Plateau lakes are highly sensitive to anthropogenic phosphorus (P) enrichment. Despite recent management strategies reducing watershed P inputs, lake eutrophication persists, indicating a delayed recovery of water P level in response to external P reduction. This study focuses on Xingyun Lake, a typical shallow plateau lake in central Yunnan Province (Yuxi City), China, and applies the net anthropogenic P input (NAPI) model to evaluate the influences of different P sources in the watershed of Xingyun Lake from 1989 to 2020. The convergent cross mapping (CCM) approach was utilized to detect nonlinear and time-lagged causal relationships between NAPI and total phosphorus (TP) dynamics. Segmented regression analysis was further used to identify thresholds of P inputs leading to abrupt changes in lake TP concentrations. NAPI ranged from 1,148 ± 304 to 6,984 ± 2,206 kg km<sup>−2</sup> yr<sup>−1</sup> during the study period and was primarily driven by food/feed net P input (P<sub>im</sub>), ore mining P input (P<sub>ore</sub>), and fertilizer P input (P<sub>fer</sub>). From 2000 to 2020, P<sub>ore</sub> was the dominant contributor to NAPI changes in the northern and eastern region, particularly in Jiangcheng and Luju towns. CCM analysis identified a significant nonlinear and unidirectional causal link from NAPI to TP with a 4-year time lag. Threshold analysis demonstrated that lake TP concentrations exhibited a nonlinear upward trend when P<sub>fer</sub> and P<sub>ore</sub> exceeded 806 and 1,305 kg km<sup>−2</sup> yr<sup>−1</sup>, respectively. This study provides the first quantitative evidence for the time-lagged response of lake P dynamics to anthropogenic P inputs in plateau lake systems, offering theoretical support and technical guidance for setting watershed water quality improvement goals and optimizing policy intervention timing.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"668 ","pages":"Article 134969"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995705","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

Uncovering the dynamic role of bedrock-stored water in ecosystem evapotranspiration 揭示基岩储水在生态系统蒸散中的动态作用

IF 6.3 1区地球科学

Journal of Hydrology Pub Date : 2026-04-01 Epub Date: 2026-01-19 DOI: 10.1016/j.jhydrol.2026.134987

Yang Qiu , Fawang Zhang , Lin Gao , Zekang He , Hanxiang Xiong , Ling Peng , Zhiye Wang , Hao Cui , Cheng Su , Defang Zhang , Shizheng Zhou , Chuanming Ma , Aiguo Zhou

{"title":"Uncovering the dynamic role of bedrock-stored water in ecosystem evapotranspiration","authors":"Yang Qiu , Fawang Zhang , Lin Gao , Zekang He , Hanxiang Xiong , Ling Peng , Zhiye Wang , Hao Cui , Cheng Su , Defang Zhang , Shizheng Zhou , Chuanming Ma , Aiguo Zhou","doi":"10.1016/j.jhydrol.2026.134987","DOIUrl":"10.1016/j.jhydrol.2026.134987","url":null,"abstract":"<div><div>Water stored in bedrock is crucial for ecosystem water supply, sustaining plant function, and drought resilience. However, conventional ecohydrological frameworks focus on soil moisture, often neglecting bedrock water and lacking adequate methodologies for its quantification. Here, we introduce a dynamic bedrock water evapotranspiration model and estimate the daily bedrock-derived evapotranspiration across China using multi-year meteorological and remote sensing datasets. Temporal and spatial patterns of evapotranspiration from bedrock-stored water reveal that over half of shallow bedrock ecosystems use bedrock water, contributing 10.84% of total evapotranspiration and 7.99% of vegetation transpiration. In arid/semi‑arid and seasonally dry regions, seasonal water-carbon decoupling increases dependence on bedrock water, particularly in southwestern and northwestern China. This occurs when transpiration demand rises before the peaks of precipitation and/or photosynthesis, necessitating deeper water sources. Causal machine learning shows that in water‑stressed climates, bedrock water enhances ecosystem productivity and carbon stocks by sustaining transpiration (FDR < 0.05). These results challenge the prevailing soil-centric paradigm and underscore the critical role of bedrock-stored water in enhancing ecosystem productivity and drought resilience. By linking hydrology, plant physiology, and carbon cycling across climatic gradients, our study supports improvements to land surface models and the prediction of ecosystem responses to intensifying drought.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"668 ","pages":"Article 134987"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146001382","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

Hydro-meteorological factors and human activities contribute comparably to weekly water quality dynamics in the Yangtze River Basin 水文气象因子与人类活动对长江流域周水质动态的贡献相当

IF 6.3 1区地球科学

Journal of Hydrology Pub Date : 2026-04-01 Epub Date: 2026-01-26 DOI: 10.1016/j.jhydrol.2026.135025

Leifang Li , Taihua Wang , Ge Li , Han Cheng , Shulei Zhang , Dawen Yang

{"title":"Hydro-meteorological factors and human activities contribute comparably to weekly water quality dynamics in the Yangtze River Basin","authors":"Leifang Li , Taihua Wang , Ge Li , Han Cheng , Shulei Zhang , Dawen Yang","doi":"10.1016/j.jhydrol.2026.135025","DOIUrl":"10.1016/j.jhydrol.2026.135025","url":null,"abstract":"<div><div>Monitoring and managing water quality is challenged by pronounced short-term fluctuations in key indicators, driven by both hydro-meteorological variability and human activities. Although substantial research has focused on water-quality modeling, effectively characterizing week-scale dynamics using weekly data remains limited. To address this gap, this study develops weekly water-quality prediction models for ten sub-basins of the Yangtze River using seven machine-learning algorithms. The models demonstrate robust performance, with Nash–Sutcliffe efficiency (NSE) values ranging from 0.41 to 0.74, and are used to reconstruct weekly time series of four key indicators, pH, DO, CODMn, and NH<sub>3</sub>-N, from 2012 to 2018. Among the evaluated algorithms, Random Forest Regression performs best, achieving average NSE values of 0.56–0.81 despite a 45% missing-data rate. Shapley Additive Explanations (SHAP) analysis reveals that hydro-meteorological and anthropogenic drivers contribute comparably to weekly water-quality variability, with hydro-meteorological and agricultural sectors emerging as dominant controls in water quality. About half of the sub-basins show water quality exceedances mainly associated with hydro-meteorological conditions, whereas the remainder are influenced primarily by anthropogenic pressures, underscoring the need for differentiated and sector-targeted management strategies. By reconstructing missing records and quantifying driver importance, this study provides a practical framework for interpreting short-term water quality fluctuations and diagnosing weekly exceedance events. The proposed approach supports risk-informed water quality management in large river basins and is transferable to other monsoonal and temperate catchments.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"668 ","pages":"Article 135025"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048582","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