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Forest expansion and irrigated agriculture reinforce low river flows in southern Europe during dry years J. Hydrol. (IF 5.9) Pub Date : 2025-02-07 Sergio M. Vicente-Serrano, Ahmed El Kenawy, Dhais Peña-Angulo, Jorge Lorenzo-Lacruz, Conor Murphy, Jamie Hannaford, Simon Dadson, Kerstin Stahl, Iván Noguera, Magí Fraquesa, Beatriz Fernández-Duque, Fernando Domínguez-Castro
This study analyses the evolution of annual streamflow across Europe between 1962 and 2017, focusing on the connection of streamflow trends with climate dynamics and physiographic and land cover characteristics and changes. The spatial pattern of trends in streamflow shows strong agreement with the spatial patterns of climate trends, suggesting a climate control of these trends. However, analysing
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Faulty assumptions: Groundwater modeling through anisotropic fault zones J. Hydrol. (IF 5.9) Pub Date : 2025-02-06 Jun-Hong Lin, Ying-Fan Lin
This study introduces a new condition for representing groundwater flow through fault zones in an aquifer-fault-aquifer system. A mathematically rigorous framework, based on the theory of imperfect interfaces, is employed to model groundwater flow at the fault-aquifer interface, replacing the simplified source-term approximations commonly used in previous analytical models. By incorporating the anisotropic
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Stable isotope composition of surface waters across the Pamir, Central Asia: Implications of precipitation seasonality J. Hydrol. (IF 5.9) Pub Date : 2025-02-05 Shenqiang Chen, Jeremy K.C. Rugenstein, Andreas Mulch
The Pamir range, located in Central Asia, mainly receives moisture from the mid-latitude westerlies, but its western side (i.e., Tajikistan Pamir) receives much of its precipitation in the winter and spring and its eastern side (i.e., Chinese Pamir) in the summer. Thus, the Pamir provides a natural laboratory to study the distribution of surface water stable isotopes across a large mountain range that
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Quantile-based bias-correction of extreme rainfall: Pros & cons of popular methods for climate signal preservation J. Hydrol. (IF 5.9) Pub Date : 2025-02-05 R. Padulano, L.A. Gomez-Mogollon, L. Napolitano, G. Rianna
Bias correction is a common practice in climate sciences. However, bias-corrected climate projections do not necessarily preserve signals in moments and quantiles compared to raw climate models. Focusing on extreme rainfall and Depth-Frequency curves, the goal of this paper is to demonstrate the efficacy of three popular techniques in preserving signals in the first- and second-order moments and in
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Reversed trends in pan and actual evaporation in China during 1960–2019 J. Hydrol. (IF 5.9) Pub Date : 2025-02-05 Sutong Mao, Han Lu, Lu Zhang, Pan Liu, Lei Cheng
The hydrological cycle is expected to intensify with global warming. Pan evaporation is an indicator of atmospheric evaporative demand; downward trends of pan evaporation have been reported in several regions over the past several decades. However, the impact of recent acceleration in climate change on trends in atmospheric evaporative demand remains unclear. This study analyzes the long-term daily
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Tracking California’s striking water storage gains attributed to intensive atmospheric rivers J. Hydrol. (IF 5.9) Pub Date : 2025-02-05 Zhongshan Jiang, Hui Zhang, Miao Tang, Xinghai Yang, Linguo Yuan, Yuan Yuan, Wei Feng, Min Zhong
California is highly vulnerable to extreme precipitation events due to the dense landfall of atmospheric rivers (ARs) during the winter months, often resulting in catastrophic consequences such as widespread floods, mudslides, and landslides. This study focuses on the recovery of daily variations in AR-driven terrestrial water storage (TWS), which produces geodetically detectable ground subsidence
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Improving river surface flow velocity measurement by coupling adaptive flow direction search algorithm with space-time image velocimetry J. Hydrol. (IF 5.9) Pub Date : 2025-02-04 Nie Zhou, Hua Chen, Chong-Yu Xu, Bingyi Liu, Jing Yang
Space-time image velocimetry (STIV) is a video-based technique for measuring river surface flow velocities and is widely used owing to its simplicity, efficiency, and safety. However, a key limitation of traditional STIV is its reliance on a preset velocity measurement line, which can lead to significant errors when the actual flow direction deviates from this predefined line. To overcome this limitation
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Estimation of standardized flow Duration curve for gauged and ungauged basins J. Hydrol. (IF 5.9) Pub Date : 2025-02-04 Pegah Palizban, Banafsheh Zahraie, Neda Dolatabadi
In this study, H2018 function, which was proposed as a suitable function for simulating Flow Duration Curves (FDC) in the previous studies, was fitted to 1915 hydrometric gauges across the United States. The observed streamflow for all these gauges during the 1984–2016 period were partitioned into three intervals (1984–1994, 1995–2005, and 2006–2016) and separate Random Forest (RF) models were trained
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A deep adaptive bidirectional generative adversarial neural network (Bi-GAN) for groundwater contamination source estimation J. Hydrol. (IF 5.9) Pub Date : 2025-02-04 Zidong Pan, Zhilin Guo, Kewei Chen, Wenxi Lu, Chunmiao Zheng
Groundwater contaminant source estimation (GCSE) plays a vital role in the risk assessment and remediation of groundwater contamination. GCSE involves determining the optimal values of unknown variables that result in the observed contaminant concentrations at monitoring wells. This can be achieved by establishing an inverse mapping from the observed concentrations to the unknown variables characterizing
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A chloride threshold to identify the onset of seawater/saltwater intrusion and a novel categorization of groundwater in coastal aquifers J. Hydrol. (IF 5.9) Pub Date : 2025-02-03 M.D. Fidelibus, G. Balacco, M.R. Alfio, M. Arfaoui, D. Bassukas, C. Güler, F. Hamzaoui-Azaza, C. Külls, A. Panagopoulos, A. Parisi, E. Sachsamanoglou, E. Tziritis
Seawater intrusion is the primary cause of groundwater salinisation in coastal aquifers. However, attributing salinisation solely to seawater intrusion may not always be accurate, given the likely presence of other sources. To understand if salinisation comes from seawater intrusion and its onset is crucial for groundwater management, but there are no definite threshold values for common indicators
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Optimizing green roof rainwater harvesting systems: A modified selfish Herds algorithm approach J. Hydrol. (IF 5.9) Pub Date : 2025-02-03 Haowen Xie, Yawen Wu, Sylvana Melo dos Santos
Green roofs (GRs) have gained global attention and promotion for their social and environmental benefits. However, their limited capacity to retain rainwater leads to water runoff and wastage. Enhancing the collection and utilization capacity of rainwater from GRs is a current research trend. This paper aims to explore the potential of adding rooftop rainwater harvesting (RWH) systems to GRs as a solution
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From bias to accuracy: Transforming satellite precipitation data in arid regions with machine learning and topographical insights J. Hydrol. (IF 5.9) Pub Date : 2025-02-02 Faisal Baig, Luqman Ali, Muhammad Abrar Faiz, Haonan Chen, Mohsen Sherif
This paper presents a comprehensive approach to refine satellite precipitation estimates over the mountainous regions of the United Arab Emirates (UAE) using Long Short-Term Memory (LSTM). The primary aim is to address and correct biases in the CMORPH and IMERG satellite precipitation products by incorporating elevation, minimum temperature, and distance to coast covariates. The study is relying upon
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Ecological drought is globally driven by soil characteristics rather than climate aridity J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Xinrong Zhu, Lu Wang, Liang Shi, Lu Wu, Boyi Liang, Hongyan Liu
Although the distribution of vegetation growth is largely determined by soil moisture availability, what determines the use of soil water at different depths by vegetation still requires investigation. Here, we used remote sensing proxy of global vegetation growth and soil moisture data to link gridded layered soil water use patterns with climate aridity, soil texture, root depth and soil water distribution
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Enhancing regional-scale simulation accuracy of paddy runoff by coupling water balance models with remote sensing J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Housheng Wang, Rui Ren, Xiang Gao, Huazhan Zhang, Wei Jiang, Xuerong Lang, Xian Hu, Xiaosan Jiang, Kun Zhao, Bin Zhang, Zhipeng Liu, Wenjuan Zheng, Xuelei Wang, Yu Jiang, Songhan Wang, Ganghua Li, Yue Mu, Yanfeng Ding
Precisely modeling the dynamics of paddy water loss, including evapotranspiration, infiltration, and runoff, plays a pivotal role in optimizing water resource management. However, existing approaches for simulating paddy water loss have not accounted for the spatial heterogeneity in irrigation management practices driven by smallholder agriculture in China, leading to significant uncertainty in water
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A global perspective on the development and application of glacio-hydrological model J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Chengde Yang, Xin Wang, Shichang Kang, Min Xu, Yong Zhang, Junfeng Wei, Congsheng Fu
Glacio-hydrological models have been increasingly utilized to evaluate hydrological responses to climate change in glacierized regions, particularly at the catchment and basin scales. However, comprehensive global assessments remain inadequate. This review investigates the fundamental processes and structures of glacio-hydrological models, summarizes their applications, and discusses the prevailing
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Response of nitrogen removal performance of bioretention cells to rainfall based on Chicago method J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Jiajia Zhou, Jiaqing Xiong, Fanghong Zhang
In actual rainfall events, the intensity of the rainfall will vary over time. To better reflect actual rainfall characteristics, a process line based on the Chicago composite rainstorm method was developed to simulate actual rainfall. Two groups of bioretention cells were constructed, one filled with modified loess (CS) and one with sand (SA), and subjected to both a constant flow rate (CSR) and a
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A refined method for the simulation of catchment rainfall–runoff based on satellite–precipitation downscaling J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Jihao Jian, Siming He, Wei Liu, Shuang Liu, Liping Guo
Precipitation exhibits significant localized characteristics within the complex terrain of small watersheds and serves as a key factor in runoff processes. Fine-resolution precipitation estimates are crucial for the refined runoff simulations in mountainous catchments. We propose a novel, refined method for rainfall–runoff simulation that combines a modified downscaling model with a two-dimensional
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Spatial pattern of amount effect of daily precipitation isotopes in China: A consideration of seasonality based on observation and simulation J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Yuqing Qian, Shengjie Wang, Mingjun Zhang, Kei Yoshimura, Hayoung Bong, Gahong Yang, Hongyang Li
The negative correlation between precipitation amount and precipitation δ18O, also known as the amount effect, is considered one of the main environmental controls of precipitation isotopes. As isotope observations increase, there is a debate about the spatial patterns of amount effect especially on a daily scale. Based on observations at 150 sampling stations and an isotope-enabled climate model,
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Groundwater hydrogeochemical changes predating and following the November 9, 2022 Mw 5.5 Adriatic offshore earthquake (central Italy) J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Lorenzo Chemeri, Marco Taussi, Davide Fronzi, Jacopo Cabassi, Stefano Mazzoli, Alberto Tazioli, Alberto Renzulli, Orlando Vaselli
We report the results from a pre- and post-seismic water monitoring carried out in the Mt. Conero area (central Italy) to evaluate the earthquake-related variations on the water hydrogeochemistry related to the November 9, 2022 Adriatic offshore seismic sequence. This latter was characterized by two main events of Mw 5.5 and 5.2. The monitoring network included two wells and one piezometer located
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Quantifying lake heat storage’s impacts on lake evaporation for an alpine deep lake lacking water-temperature-profile observation J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Fang Zhang, Xueqin Zhang
Lake heat storage is essential in regulating lake evaporation’s magnitude and seasonal variation. However, its impacts on lake evaporation are inadequately investigated, mainly due to the limited lake-water-temperature-profile observations used to calculate lake heat storage, challenging the accurate quantification of lake evaporation. Hence, we integrate multiple-source observations and multiple-model
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Role of strike-slip faults on the regional groundwater flow in the complex aquifer system of Lake Suwa watershed, Japan J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Koichi Sakakibara, Mizuki Hori, Yoshitake Nagahata, Yuichi Miyabara, Atsushi Urai, Keisuke Suzuki
Strike-slip faults can largely influence regional groundwater flow systems by acting as hydraulic barriers or conduits. However, their role in shaping the regional groundwater flow in watersheds with pull-apart basins remains poorly understood. This study aimed to clarify the hydrological impacts of a strike-slip fault within a watershed featuring a pull-apart basin at its lowest point. To achieve
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How straw return approaches affect runoff and sediment in croplands of different degradation degrees in the black soil region of China J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Shukun Xing, Guanghui Zhang, Ning Zhang, Yatong Zhang, Yi Zhang
Different straw return approaches have dissimilar soil disturbance and straw mixing extents, thus make distinct effects on rainfall-runoff-erosion processes. The variations in soil properties triggered by land degradation likely affect the fitness of straw return approach on mitigating soil and water loss. Quantitively assessing the suitability of straw return approaches for croplands with different
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Copula-based joint impact assessment of rainfall and tidal level on flood risk in tidal-influenced plain river network areas, Taihu Lake Basin J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Hong Zhou, Jun Liu, Cheng Gao, Weidong Li, Shufang Ou, Yi Zhou, Qinghua Luan
The combined effects of rainfall and tidal boundaries significantly impact regional floods in tidal-influenced plain river network areas, requiring sophisticated modeling and management strategies to mitigate flood risks effectively. Despite this, the current research primarily concentrates on the joint probability of rainfall and the highest high tidal levels (HHT), neglecting the analysis of the
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A transient analytical model for VOC transport through the PRB and cover layer system J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Yanghui Shi, Haijian Xie, Mengcheng Zhang, Manting Ci
A transient model for VOC transport through the PRB and cover layer system is developed in this study, considering the effect of source degradation and surface concentration. The influences of different parameters on the system performance are evaluated. A comprehensive sensitivity analysis of the proposed model is conducted based on the Sobol’s method. The results show that the emission fluxes can
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Pressure management strategies for large-scale aquifer recharge: Mitigating the potential for injection-induced earthquakes J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Ethan W. Conley, Cameron R. Chambers, John B. Ogunleye, Lars W. Koehn, Dan Holloway, Jamie Heisig-Mitchell, Martin Chapman, Mahesh Parija, Ryan M. Pollyea
Long-term groundwater withdrawals in coastal Virginia have led to declining groundwater levels, saltwater intrusion, and land subsidence, threatening regional water security and infrastructure. Managed aquifer recharge (MAR) through underground injection offers a promising solution to mitigate these effects. A large-scale MAR project is under construction in southeast Virginia to replenish the Potomac
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Dynamic and high methane emission flux in pond and lake aquaculture J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Jiayu Zhao, Mi Zhang, Yini Pu, Lei Jia, Wei Xiao, Zhen Zhang, Pei Ge, Jie Shi, Qitao Xiao, Xuhui Lee
Freshwater aquaculture systems are recognized as significant contributors to atmospheric methane (CH4) emissions, yet accurate quantification remains challenging due to high variability across different aquaculture types and the scarcity of high-frequency observations. To address these gaps, we conducted synchronous in-situ measurements of CH4 emissions from two typical aquaculture types – pond aquaculture
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Changes and drivers of long-term land evapotranspiration in the Yangtze River Basin: A water balance perspective J. Hydrol. (IF 5.9) Pub Date : 2025-02-01 Hongbing Bai, Yulong Zhong, Ning Ma, Dongdong Kong, Yuna Mao, Wei Feng, Yunlong Wu, Min Zhong
Evapotranspiration (ET) serves as a crucial indicator for understanding both global and regional water cycles and the impacts of climate change. Traditionally, water balance-based ET derived using satellite gravimetry, runoff and precipitation is considered as a benchmark for ET assessment. However, this method faces limitations in providing long-term, high temporal resolution ET estimates because
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Corrigendum to “Reduction in the ratio of stemflow to rainfall during heavy rain in two Japanese cedar stands and the influence on rainfall partitioning” [J. Hydrol. 634 (2024) 131100] J. Hydrol. (IF 5.9) Pub Date : 2025-01-31 Shigeki Murakami
Plot areas to calculate stemflow in Figs. 8c and 9c were underestimated due to a tabulation error that resulted in overestimation of stemflow in both Figures. Stemflow was recalculated using correct plot areas, and Figs. 8c and 9c were corrected. Canopy interception in Figs. 8a and 9a was also recalculated, because stemflow is used to derive canopy interception. Figure captions in Figs. 8 and 9 and
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Hydraulic properties and groundwater depletion of a nonlinear consolidated aquitard considering vertical heterogeneity with drawdown in adjacent aquifers J. Hydrol. (IF 5.9) Pub Date : 2025-01-31 Hao Li, Zhi Dou, Wen Zhang, Ruizhe Wang, Zhaofeng Li
The heterogeneity of hydraulic parameters within aquitards significantly affects the processes of consolidation and water release, while the nonlinear consolidation behavior also changed the distribution of hydraulic parameters within the aquitard. In this study, we established two mathematical models to characterize the vertical heterogeneity of aquitards. The corresponding analytical solutions for
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Multiple fault strands in carbonate rocks control groundwater circulation in tectonically active areas, Monte Marine Fault, central Apennines, Italy J. Hydrol. (IF 5.9) Pub Date : 2025-01-31 E. Petrella, M. Pizzati, E. Severini, M.R. Ferragonio, M. Polimeno, F. Balsamo
Faults zones play a key role on groundwater flow, conditioning both local and regional pathways. They impact groundwater flow in different ways depending on host rock lithology, 3D architecture and internal structure. Despite fault zones in carbonates are widely studied, their impact on groundwater flow is still difficult to predict. In this study, we combined structural, hydrogeological, geochemical
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Interaction of climate and vegetation on the spatial distribution of rainfall-induced groundwater recharge in the Central Gangetic Plain J. Hydrol. (IF 5.9) Pub Date : 2025-01-31 Anuradha Karunakalage, Ravi Sharma, Mohammad Taqi Daqiq, Suresh Kannaujiya
Groundwater Recharge (GR) is pivotal for sustainability, ensuring the renewability of groundwater. Artificial GR is a key strategy to counter water level decline, albeit constrained by cost and limited effective area. Natural GR controlling factors play a well-defined role and are more readily identifiable in arid and semi-arid regions, where fewer influencing factors are present. In contrast, in humid
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Exploring the influence of training sampling strategies on time-series deep learning model in hydrology J. Hydrol. (IF 5.9) Pub Date : 2025-01-31 Sunghyun Yoon, Kuk-Hyun Ahn
Numerous deep-learning models have been introduced to achieve reliable predictions in hydrology. In particular, recent works have shown that leveraging abundant training samples significantly improves the generalization performance due to the increased opportunity to learn fundamental processes from the samples. However, these studies often overlook the diverse levels of importance uncertainty in sample
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Gap-filling GRACE and GRACE-FO data with a climate adjustment scheme using Singular Spectrum analysis J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Xuanze Zhang, Chanyue Ren, Zhonglei Wang, Xiaojie Li, Yongqiang Zhang
The satellite missions of Gravity Recovery and Climate Experiment (GRACE) and its follow-on (GRACE-FO) have provided two decades’ observations for global hydrological cycle and climate change communities. However, there exists 33-month data gaps, especially the 11-month gap during 2017–2018 within the missions, introducing significant biases and uncertainties in monitoring long-term trends and identifying
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Enhancing groundwater vulnerability assessment through Bayesian inference J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Nasrin Taghavi, Robert K. Niven, Matthias Kramer, David J. Paull
This study introduces a Bayesian regularization framework for the assessment of groundwater vulnerability, which is applied to the Burdekin Basin, an agricultural catchment in Queensland, Australia. In this method, the Bayesian maximum a posteriori (MAP) estimate is used to estimate a linear model between major hydrological variables and nitrate concentrations – as a proxy for groundwater vulnerability
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Diverse vegetation response to meteorological drought from propagation perspective using event matching method J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Qianzuo Zhao, Xuan Zhang, Chong Li, Yang Xu, Junyuan Fei, Fanghua Hao, Rulin Song
Climate change has led to increased frequency, duration, and severity of meteorological drought (MD) events worldwide, causing significant and irreversible damage to terrestrial ecosystems. Understanding the impact of MD on diverse vegetation types is essential for ecological security and restoration. This study investigated vegetation responses to MD through a drought propagation framework, focusing
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Impact of groundwater overextraction and agricultural irrigation on hydrological processes in an inland arid basin J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Heng Yan, Zhenghui Xie, Binghao Jia, Ruichao Li, Longhuan Wang, Yuhang Tian, Yanbin You
Irrigation accounts for a major proportion of human water usage, exerting significant impacts on the natural environment and regional climate in inland arid basins. Groundwater overextraction and agricultural irrigation can drastically alter the water distribution in terrestrial systems, with potential impacts on hydrological processes. To better understand these risks and improve water resource regulation
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Ultraviolet radiation stimulates the degradability of groundwater-fed DOC during the baseflow period of streams on the Qinghai-Tibet Plateau permafrost region J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Yuhao Li, Genxu Wang, Wenzhi Wang, Xiangyang Sun, Yang Li, Jinwang Xiao, Wentian Xie, Jiali Ding, Chunlin Song
As the climate warms and permafrost thaws, large quantities of dissolved organic carbon (DOC) enter streams via surface or subsurface flows and undergo biodegradation and photodegradation. Deciphering the transformation mechanisms of riverine DOC are crucial to understand the riverine carbon cycle and carbon-climate feedback. Yet the degradation characteristics of groundwater-fed DOC in streams of
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Predictions of saltwater intrusion in the Changjiang Estuary: Integrating Machine learning methods with FVCOM J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Nan Wang, Jianzhong Ge
Saltwater intrusion is a typical hydrological phenomenon in estuaries that has a significant impact on daily life and is difficult to predict. While FVCOM has been instrumental in simulating sea surface salinity, recognizing its potential errors in dynamic estuarial domains is crucial. This study pioneered the integration of machine learning techniques, including Bagged Regression Trees (BRT), Artificial
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Multi-objective optimal allocation of agricultural water and land resources in the Heihe River Basin: Coupling of climate and land use change J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Zepeng Zhang, Qingyu Guan, Bo Zhao, Xiong Xiao, Jun Zhang, Xinyue Yang, Haiping Luo
As important factors affecting agricultural activities, climate change and land use change are bound to affect agricultural production. Therefore, it is necessary to predict possible changes in these factors in the future and to ensure the safety of agricultural production through scientific agricultural planning. This study uses the CMIP6 and FLUS models to forecast climate change and land use change
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Impact on nonlinear runoff of LID facilities and parameter response in the TVGM model J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Pengjun Li, Luwen Zhuang, Kairong Lin, Dunxian She, Qiang Wang, Wei Luo, Jianliang He, Jun Xia
Human activities like urbanization have profoundly altered the underlying surfaces, leading to crucial water security issues, including urban flooding and pollution. Low Impact Development (LID) has been acknowledged as an eco-friendly and promising approach to urban stormwater management. Understanding the nonlinear mechanisms of LID facilities (LIDs) under different rainfall-runoff processes is essential
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Large-scale flood mapping using Sentinel-1 and Sentinel-2 imagery: Spatio-temporal analysis of the 23·7 Haihe basin-wide extreme flood J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Ling Lan, Xiekang Wang
The monitoring of large-scale floods has become particularly critical under the dual influence of climate change and human activities. Synthetic Aperture Radar (SAR) imagery with its independence from cloud cover provides high-resolution data for this purpose. However, there is still a lack of high spatio-temporal resolution analysis of the large-scale flood evolution. Here, utilizing Sentinel-1A SAR
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VMDI-LSTM-ED: A novel enhanced decomposition ensemble model incorporating data integration for accurate non-stationary daily streamflow forecasting J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Jiadong Liu, Teng Xu, Chunhui Lu
Accurate daily streamflow forecasting is crucial for effective flood control and water management. However, the non-stationary nonlinearity in actual streamflow poses a challenge to accurate forecasting. While decomposition ensemble models can address non-stationary nonlinear streamflow, they still suffer from low forecast accuracy when dealing with highly non-stationary streamflow. Recent studies
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Organic contamination pressure shapes spatiotemporal variability of shallow groundwater bacterial communities and temporal patterns when facing new environmental disturbances J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Fei Qiao, Jinguo Wang, Zhou Chen, Shiyu Zheng, Albert Kwame Kwaw, Yongsheng Zhao, Jintao Huang
Understanding the spatiotemporal patterns of subsurface microbial community structure and function is critical for assessing the overall quality and maintenance of groundwater. However, high spatiotemporal variability of microbial community characteristics in groundwater systems under organic contamination pressure (OCP), and the differences in the temporal patterns of response in the face of new environmental
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Water body seasonality reveals the dominant role of human activity across the Yangtze River Basin in China J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Yinuo Zhu, Aizhong Ye, Yuhang Zhang
Water bodies play a vital part of the ecosystem services and human society. In recent decades, global water bodies have undergone drastic changes, including those in the Yangtze River Basin (YRB), the densest freshwater lake group in East Asia. However, there is still a lack of comprehensive description of the pattern of the dynamic changes of these valuable water resources in the YRB. Here, we combined
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Urban flood management from the lens of social media data using machine learning algorithms J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Muhammad Waseem Boota, Shan-e-hyder Soomro, Jikun Xu, Muhammad Irshad Ahmad, Haoming Xia, Yaochen Qin, Muhammad Bilal Idrees, Naseem Ahmad, Chaode Yan, Ayesha Yousaf, Xiaoju Ning
Urban flooding (UFL) occurs frequently due to climatic variations and anthropogenic activities. Real-time information on the physical and emotional damage caused by UFL is critical for catastrophic emergency management, but methods to rapidly acquire such information are lacking. Social media promptly disseminates emergency information and has become a valuable source for real-time data with low acquisition
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Semi-variograms provide superior spatial and temporal insights into artificial rainfall compared to Christiansen uniformity J. Hydrol. (IF 5.9) Pub Date : 2025-01-30 Jan-František Kubát, Martin Neumann, Petr Kavka
Rainfall simulators are crucial for hydrological and geomorphological research, allowing controlled studies of rainfall dynamics. However, standardization issues pose challenges for cross-study comparisons. This study introduces semi-variograms as an advanced method to assess the spatial and temporal dynamics of rainfall simulators. Using a large mobile rainfall simulator, we conducted experiments
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Twin extreme learning machine model and cooperation search algorithm for multi-step-ahead point and interval runoff prediction J. Hydrol. (IF 5.9) Pub Date : 2025-01-29 Zhong-kai Feng, Pan Liu, Wen-jing Niu, Xin-yue Fu, Yang Xiao, Tao Yang, Hai-yan Huang
Accurate runoff predictions provide crucial technical supporting information for water resource decision-makers, offering insights into future runoff changes. This study investigates the effectiveness of twin extreme learning machine (TELM) and cooperation search algorithm (CSA) in multi-step-ahead point and interval runoff prediction. Then, three multi-step-ahead forecasting strategies are considered
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Streamflow regime-based classification and hydrologic similarity analysis of catchment behavior using differentiable modeling with multiphysics outputs J. Hydrol. (IF 5.9) Pub Date : 2025-01-29 Yuqian Hu, Heng Li, Chunxiao Zhang, Bingli Xu, Wenhao Chu, Dingtao Shen, Rongrong Li
Streamflow regime-based catchment classification has been demonstrated to fully exploit the temporal information stored in the data to better reflect seasonal changes and drought/flood behavior. However, the catchment behavior of the clusters generated under this classification framework in terms of water storage and release deserves further exploration. This study quantified the streamflow sequences
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Mixture of experts leveraging Informer and LSTM variants for enhanced daily streamflow forecasting J. Hydrol. (IF 5.9) Pub Date : 2025-01-29 Zerong Rong, Wei Sun, Yutong Xie, Zexi Huang, Xinlin Chen
Streamflow forecasting is of paramount importance for water resources management and flood prevention. Machine learning, particularly deep learning, has had significant success in hydrological forecasting. However, there is still a desire for newer single-type and integrated architectures to further enhance the accuracy and reliability of forecasts. Recently, Transformer-based models have emerged as
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Framework for short-term hydropower cascade–station–unit integrated multi-objective scheduling: Considering unit safety and economic efficiency J. Hydrol. (IF 5.9) Pub Date : 2025-01-29 Jingwei Huang, Hui Qin, Xu Yang, Keyan Shen, Huaming Yao, Xinyu Chang, Gaoge Li, Yuan Gao
Short-term hydropower scheduling primarily focuses on maximizing economic benefits, and the hydroelectric generating unit, as the primary component responsible for power generation, has become increasingly important given the growth in installed capacity. Consequently, current research has focused on hydro-unit commitment, particularly in terms of its safety status. This study addressed the challenges
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Causality-Guided Deep learning for streamflow predicting in a mountainous region J. Hydrol. (IF 5.9) Pub Date : 2025-01-28 Xuan Tang, Guanghua Qin, Xuemei Wu, Yuting Zhao, Hongxia Li
Accurate streamflow predictions in mountainous regions are crucial for water resource management and flood mitigation. Deep learning (DL) models, which have been widely used for streamflow predicting recently, can simulate the nonlinear hydrological relationships but may not capture the underlying laws of physics. This study proposed a Causality-Guided Deep Learning (CGDL) model to enhance the streamflow
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A new multivariate composite drought index considering the lag time and the cumulative effects of drought J. Hydrol. (IF 5.9) Pub Date : 2025-01-27 Mengjia Yuan, Guojing Gan, Jingyi Bu, Yanxin Su, Hongyu Ma, Xianghe Liu, Yongqiang Zhang, Yanchun Gao
Frequent and intense droughts pose significant threats to ecosystem health and human society under global change, making timely and rapid detection of such events crucial. Drought index is an essential tool for drought monitoring and risk assessment. Univariate drought indices cannot effectively characterize comprehensive drought characteristics and rarely account for the time lag between different
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Bacterial and archaeal community successions in high-salinity groundwater and their potential impact on arsenic cycling J. Hydrol. (IF 5.9) Pub Date : 2025-01-27 Chuanshun Zhi, Xiaonong Hu, Zhuo Zhang, Baonan He, Jing Bai, Xiancang Wu, Hui Mu, Wenbo Chang, Fan Yang, Qi Qiu, Yuzheng Wang
Groundwater arsenic (As) contamination is a global issue involving complex biogeochemical processes. However, the arsenic cycling in high-salinity groundwater environments remain poorly understood. In this study, we used hydrogeochemical and microbial techniques to investigate the impact of salinity on bacterial and archaeal community structures and their functional evolution in the Yellow River Delta
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Global-scale gap filling of satellite soil moisture products: Methods and validation J. Hydrol. (IF 5.9) Pub Date : 2025-01-27 Chunlin Zhang, Jiangyuan Zeng, Pengfei Shi, Hongliang Ma, Husi Letu, Xiang Zhang, Panshan Wang, Haiyun Bi, Jiaming Rong
The utility of satellite soil moisture products is often limited by their missing values, and thus it is crucial to develop gap-filling methods to obtain soil moisture datasets with high-precision and spatiotemporal coverage. Previous studies often used a single gap-filling method in specific regions without analysis of the factors affecting the gap-filling accuracy. To narrow this research gap, this
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Effect of sediment particle size distribution characteristics on hyporheic exchange under different riverbed topography J. Hydrol. (IF 5.9) Pub Date : 2025-01-27 Yuchen Zhang, Jinxi Song, Dandong Cheng, Hangzhen Zhang, Chaosong Zhang, Haoying Zhang, Bin Tang
Hyporheic exchange, the intricate interplay between groundwater and surface water near the riverbed or riverbank, is highly influenced by the natural features of riverbeds and sediment deposition. Of the structural configurations commonly encountered in aquatic environments, straight and meandering channels are of particular interest for hydrological and geomorphological studies. However, little attention
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Extreme degradation of alpine wet meadow decelerates soil heat transfer by preserving soil organic matter on the Qinghai–Tibet Plateau J. Hydrol. (IF 5.9) Pub Date : 2025-01-27 Zeyong Gao, Chengming Zhang, Wengyan Liu, Fujun Niu, Yibo Wang, Zhanju Lin, Guoan Yin, Zekun Ding, Yunhu Shang, Jing Luo
Alpine wet meadow (AWM), an important wetland type on the Qinghai–Tibet Plateau (QTP), is sensitive to climate change, which alters the soil hydrothermal regime and impacts ecological and hydrological functions in permafrost regions. The mechanisms underlying extreme AWM degradation in the QTP and hydrothermal factors controlling permafrost degradation remain unclear. In this study, soil hydrothermal
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A methodology for development of flood-depth-velocity damage functions for improved estimation of pluvial flood risk in cities J. Hydrol. (IF 5.9) Pub Date : 2025-01-27 Dorothy Pamela Adeke, Seith N. Mugume
Globally, flooding is a persistent challenge in many rapidly urbanising cities. Effective flood risk management requires reliable and accurate approaches for quantifying potential flood damages, yet city specific flood damage functions are often unavailable in many cities. Due to this, estimation of flood damages in most data scarce cities is undertaken using global averaged flood − depth − damage
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Divergent responses of optimal land and water allocation to different hydrological regimes in the agricultural water-food-carbon nexus system J. Hydrol. (IF 5.9) Pub Date : 2025-01-27 Haomiao Cheng, Anan Wang, Jian Zhang, Xizhi Nong, Xuecheng Jiang, Hainan Wu, Zhaoxia Chen, Menglei Wang, Jilin Cheng
Frequent changes in the hydrological regimes lead to divergent responses of water, food, and carbon (C) emissions in agricultural production, which challenge sustainable agricultural development. Therefore, this study proposed a systematic multi-objective non-linear programming model for investigating divergent responses of optimal land and water allocation to different hydrological regimes from the
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Experimental study on the spatial traits of sedimentation driven by discontinuous nearshore vegetation patches J. Hydrol. (IF 5.9) Pub Date : 2025-01-26 Liu Yang, Yidan Ai, Wenxin Huai, Zhonghua Yang
In the rivers, the growth of aquatic plants from initial individual patches to elongated formations, and subsequent merging with the downstream or adjacent patches, is intricately linked to the spatial pattern of sediment deposition. Understanding the mechanism of suspended load deposition influenced by these plant patches is crucial. Therefore, we conducted experimental investigations into the spatial
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Salty tide enhanced ecotoxicological risk of trace metals in the lower reach of the Pearl River, China via altering their phase partitioning and chemical speciation J. Hydrol. (IF 5.9) Pub Date : 2025-01-26 Lei Gao, Chao Yan, Chenchen Yang, Rui Li, Qirui Wu, Di Tian, Lei Ouyang
Estuaries are transitional aquatic systems characterized by large physicochemical gradients that strongly influence the migration, transformation, fractionation, and speciation of trace metals (TMs), ultimately affecting their bioavailability. In this study of the Jiaomen Waterway, a representative tidal river of the Pearl River, China, ultra-filtration and a thermodynamic chemical equilibrium model