-
Spatiotemporal dynamics and similarity in soil moisture in shallow soils on karst slopes J. Hydrol. (IF 5.9) Pub Date : 2024-07-10 Yuan Li, Kaiping Li, Qiuwen Zhou, Yuluan Zhao, Lulu Cai, Zhiying Yang
Understanding the spatiotemporal dynamics and similarity of soil moisture on shallow slopes is important for inferring soil hydrological processes and for vegetation restoration. In karst areas, the spatial distribution patterns and dynamic changes in shallow soil moisture are particularly complex; however, whether there is spatiotemporal similarity in shallow soil moisture on karst slopes has not
-
Projections of compound wet-warm and dry-warm extreme events in summer over China J. Hydrol. (IF 5.9) Pub Date : 2024-07-09 R. Zhao, X. Zhou, J. Liu, Y.P. Li, G.H. Huang, C.H. Li
Accurate climate projections are essential in China. A quantile delta-mapped spatial disaggregation (QDMSD) has been developed to simulate compound extreme dry-warm (CDDW) and wet-warm (CDWW) events in historical and future summertime. Simulations indicated that the frequencies of CDDW would keep an obvious increase in the historical period. The Niño 3 and Atlantic Multidecadal Oscillation (AMO) indirectly
-
Biocrusts intensify grassland evapotranspiration through increasing evaporation and reducing transpiration in a semi-arid ecosystem J. Hydrol. (IF 5.9) Pub Date : 2024-07-08 Dexun Qiu, Bo Xiao, Behzad Ghanbarian
Biological soil crusts (biocrusts) are living ground covers that result from intimate associations between soil particles and organisms, which can modify soil properties and support fundamental ecosystem functions in drylands. Despite numerous studies concerning effects of biocrusts on soil hydrological processes, their impacts on grassland evapotranspiration have remained unanswered. By using micro-lysimeters
-
The response of agricultural drought to meteorological drought modulated by air temperature J. Hydrol. (IF 5.9) Pub Date : 2024-07-06 Xiaoting Wei, Shengzhi Huang, Dong Liu, Jianfeng Li, Qiang Huang, Guoyong Leng, Haiyun Shi, Jian Peng
Due to climate change, there is an increasing occurrence of combined extreme events. The interaction between agricultural drought and meteorological drought may be significantly influenced by the temperature conditions. However, the specific process and the extent of air temperature’s impact on the dynamic remain unknown. To this end, the present study develops a copula-based coupling model to integrate
-
Advancing process-based flood frequency analysis for assessing flood hazard and population flood exposure J. Hydrol. (IF 5.9) Pub Date : 2024-07-06 Gabriel Perez, Ethan T. Coon, Saubhagya S. Rathore, Phong V.V. Le
Recent studies have showcased the use of process-based hydrological models with Stochastic Storm Transposition (SST) techniques to conduct Flood Frequency Analysis (FFA). This framework, referred hereby FFA-SST, has proved to be a robust strategy to estimate peak flows of specific annual exceedance probability (e.g., 100-year peak flow) that can reflect natural and anthropogenic disturbances, including
-
Numerical investigation on the influence of CO2-induced mineral dissolution on hydrogeological and mechanical properties of sandstone using coupled lattice Boltzmann and finite element model J. Hydrol. (IF 5.9) Pub Date : 2024-07-06 Bo Yang, Tianfu Xu, Yiling Du, Zhenjiao Jiang, Hailong Tian, Yilong Yuan, Huixing Zhu
-
Economic life evaluation of reservoir dams based on comprehensive costs and benefits analysis considering potential dam breach: A case study of the Luhun reservoir in China J. Hydrol. (IF 5.9) Pub Date : 2024-07-06 Wei Ge, Heqiang Sun, Laihong Jing, Zongkun Li, Yongchuang Li, Bo Cao, Te Wang, Yutie Jiao, Hua Zhang, Jianyou Wang, Pieter van Gelder
The scientific evaluation of a dam’s economic life is necessary to determine its management strategy rationally. However, most studies have mainly focused on analyzing the current economic characteristics of reservoir dams without considering their long-term development trend. And they have failed to incorporate the potential loss caused by dam breaches as one of the operating costs for dams. Consequently
-
Spatial and conventional verifications of hurricanes Dorian and Fiona using the Canadian precipitation analysis & integrated multi-satellite retrievals for GPM products J. Hydrol. (IF 5.9) Pub Date : 2024-07-06 Alaba Boluwade, Aitazaz A. Farooque
Reanalysis and satellite-based rainfall packages are useful for monitoring hydroclimatic extremes. These advanced tools can be used as an early-warning system for decision-making during extreme events. Hurricane Dorian and Fiona impacted the North Atlantic from September 6–9, 2019 and September 22–25, 2022, respectively. This study evaluated the Canadian Precipitation Analysis (CaPA) in conjunction
-
Forecast of chlorophyll-a concentration as an indicator of phytoplankton biomass in El Val reservoir by utilizing various machine learning techniques: A case study in Ebro river basin, Spain J. Hydrol. (IF 5.9) Pub Date : 2024-07-05 Paulino José García–Nieto, Esperanza García–Gonzalo, José Ramón Alonso Fernández, Cristina Díaz Muñiz
The trophic condition of bodies of water, such as oceans, lakes, and reservoirs, can be accurately assessed thanks to the use of chlorophyll-a, or Chl-a, as an indicator of phytoplankton biomass and abundance. In fact, the main molecule in charge of photosynthesis is Chl-a. This work presents a powerful and reliable nonparametric method for predicting the concentration of Chl-a in El Val reservoir
-
Retrofit of grass swales with outflow controls for enhancing drainage capacity J. Hydrol. (IF 5.9) Pub Date : 2024-07-05 Ivan Mantilla, Kelsey Flanagan, Ico Broekhuizen, Tone Merete Muthanna, Jiri Marsalek, Maria Viklander
Reduction of runoff flow peaks and volumes is one of the performance objectives of grass swales in the context of Green Stormwater Infrastructure (GSI). Towards this end, a study of the feasibility of using a retrofitted swale outlet control weir (SOCW) to reduce runoff volume and peak flow, by enhancing swale runoff storage and infiltration into swale soils, was conducted in Luleå, Northern Sweden
-
Enhancing streamflow simulation accuracy in ungauged catchments via parameter calibration with triple collocation-based merged evapotranspiration and streamflow features J. Hydrol. (IF 5.9) Pub Date : 2024-07-05 Zhengguang Xu, Junguo Liu, Zhiyong Wu, Xiao Guo
Estimating model parameters for accurate hydrological simulations poses a challenge in ungauged catchments. Evapotranspiration (ET) data derived from remote sensing (RS) holds promise for parameter calibration in ungauged catchments. Nonetheless, uncertainties inherent in raw RS-based ET data can pose challenges in the calibration process. This study evaluates two calibration methods mitigating the
-
A water-energy complementary model for monthly runoff simulation J. Hydrol. (IF 5.9) Pub Date : 2024-07-05 Yixuan Zou, Baowei Yan, Donglin Gu, Jianbo Chang, Mingbo Sun
The quantification of hydrological partitioning is key for sustainable water resource management. To elucidate the underlying mechanisms of hydrological partitioning, we explored the relationship between the proportionality hypothesis and coupled water-energy equations. Additionally, we derived a water-energy complementary equation to assess water-energy balances. These balances are crucial for evaluating
-
A direct two-way coupling of the hydrologic and 1D-2D hydrodynamic models for watershed flood simulation J. Hydrol. (IF 5.9) Pub Date : 2024-07-05 Yanxia Shen, Zhaoming Xu, Qi Zhou, Zhenduo Zhu, Chunbo Jiang
A direct two-way coupling of hydrologic and 1D-2D hydrodynamic models (DCM2D) for watershed flood simulation was proposed. This coupling included three models (i.e., fully distributed hydrologic, 1D hydrodynamic, and 2D hydrodynamic models) and three coupling strategies: the bidirectionally coupled hydrologic-2D hydrodynamic module, two-way coupled hydrologic-1D hydrodynamic module (HH1D), and two-way
-
Regional flood risk grading assessment considering indicator interactions among hazard, exposure, and vulnerability: A novel FlowSort with DBSCAN J. Hydrol. (IF 5.9) Pub Date : 2024-07-05 Yan Tu, Zhenxing Tang, Benjamin Lev
With escalating flood risks due to global warming and frequent extreme rainfall events, it is crucial to highlight the importance of flood risk assessment for devising prudent mitigation strategies and promoting sustainable development. Against this backdrop, this study proposes a novel regional flood risk grading assessment method, namely the Density-Based Spatial Clustering of Applications with Noise
-
Assessing the impact of surface water and groundwater interactions for regional-scale simulations of water table elevation J. Hydrol. (IF 5.9) Pub Date : 2024-07-05 Hugo Delottier, Oliver S. Schilling, René Therrien
Groundwater flow models are increasingly considered for the regional scale simulation of hydraulic heads and water table elevation. In the most complete configuration, models explicitly simulate two-way interactions between surface water (SW) and groundwater (GW) to reproduce and forecast both SW and GW water levels. In most regional scale groundwater models, however, SW-GW interactions are represented
-
Interpretable machine learning on large samples for supporting runoff estimation in ungauged basins J. Hydrol. (IF 5.9) Pub Date : 2024-07-05 Yuanhao Xu, Kairong Lin, Caihong Hu, Shuli Wang, Qiang Wu, Jingwen Zhang, Mingzhong Xiao, Yufu Luo
The distribution of flowmeter data and basin characteristic information exhibits substantial disparities, with most flow observations being recorded at a limited number of well-monitored locations. The perennial challenge of achieving reliable and robust hydrological modeling in ungauged catchments through regionalization has persisted. The increasing availability of large-scale hydrological datasets
-
Morphodynamics of the dredged channel in a mega fluvial-tidal delta J. Hydrol. (IF 5.9) Pub Date : 2024-07-05 Wenjun Zeng, Zhijun Dai, Jiejun Luo, Yaying Lou, Xuefei Mei
Deltaic channels are key pathways connecting rivers and the ocean, which is of significance for in maintaining estuarine stability and material transport processes between land and sea. However, deltaic channels have experienced dramatic variations in the Anthropocene era, including seriously scouring induced by decline of riverine sediment delivered to the ocean, trenching caused by dredged works
-
Vegetation factors and atmospheric dryness regulate the dynamics of ecosystem water use efficiency in a temperate semiarid shrubland J. Hydrol. (IF 5.9) Pub Date : 2024-07-04 Yanmei Mu, Xin Jia, Ziqi Ye, Xulin Guo, Shaorong Hao, Tianshan Zha, Yuqing Zhang, Cong Han, Shengjie Gao, Fei Xing, Shugao Qin, Peng Liu, Yun Tian
Ecosystem water use efficiency (), a key indicator of the coupling between carbon and water cycle, has been widely used to quantify ecosystem responses to climate change. However, large uncertainties remain regarding the dynamics and driving factors of in temperate semiarid shrublands. Using eddy-covariance measurements, we investigated the role of vegetation and hydrometeorological factors in affecting
-
Enhancing irrigation water productivity using short-range ensemble weather forecasts at basin scale: A novel framework for regions with high hydro-climatic variability J. Hydrol. (IF 5.9) Pub Date : 2024-07-04 SM. Kirthiga, B. Narasimhan, C. Balaji
Integrating short-term weather forecasts with crop growth models has emerged as a valuable decision-support tool for enhancing irrigation water productivity in water-intensive crops. Our primary focus lies in formulating a simplified Quasi-Farmer Behavior Routine to utilize ensemble weather forecasts to provide irrigation guidance. The study proposes the concept of Rainfall Confidence Quotient (RCQ)
-
Syphons in tipping bucket rain gauges: How do they affect rainfall intensity estimates derived from inter-tip times? J. Hydrol. (IF 5.9) Pub Date : 2024-07-04 David Dunkerley
Tipping-bucket rain gauges (TBRGs) are widely used globally to record rainfall amounts over nominated accumulation durations such as 15-minute rainfall, hourly rainfall, and daily rainfall. To reduce the under-estimation of rainfall amounts that results from high rates of inflow to the tipping buckets in intense rainfall, small syphons are commonly installed between the rain-collecting funnel and the
-
Development of a method to assess synergy and competition for water use among water-energy-food nexus in the Yellow River basin: Water quantity-quality dimensions J. Hydrol. (IF 5.9) Pub Date : 2024-07-04 Xinxueqi Han, En Hua, Jiajie Guan, Bernie A Engel, Rong Liu, Yawen Bai, Shikun Sun, Yubao Wang
Water, as an indispensable component of the water-energy-food (WEF) nexus, plays a pivotal role in shaping its stability and safety. The competition for water between the food and energy systems is accentuated in the concept of the nexus. However, existing quantitative frameworks and assessment mechanisms have limitations as they often neglect to consider water quality in water competition within the
-
HRU-based Downscaling of GRACE-TWS to Quantify the Hydrogeological Fluxes and Specific Yield in the Lower Middle Ganga Basin J. Hydrol. (IF 5.9) Pub Date : 2024-07-03 Ranveer Kumar, Shishir Gaur, Pramod Soni, Puneet Maurya, Anurag Ohri
Precise volumetric assessments of different hydrological variables, such as precipitation, evapotranspiration, and groundwater components, are necessary for comprehensive water resource management. This presents several challenges, including topographical complexity and economic limitations, mainly when aiming for high temporal and spatial resolution.The satellite mission Gravity Recovery and Climate
-
Spatial mapping and driving factor Identification for salt-affected soils at continental scale using Machine learning methods J. Hydrol. (IF 5.9) Pub Date : 2024-07-03 Yannan Liu, Xudong Han, Yan Zhu, He Li, Yingzhi Qian, Kang Wang, Ming Ye
Soil salinization is one of the most serious land-degrading threats globally, particularly in Asia, where there are 21 countries, e.g., Kazakhstan, China, Iran, and Indonesia, lack of accurate spatial information of salt-affected soils currently. Mapping the distribution of salt-affected soils and identifying their main driving factors is critical for sustainable development. Current studies for mapping
-
Streamflow prediction in ungauged catchments through use of catchment classification and deep learning J. Hydrol. (IF 5.9) Pub Date : 2024-07-03 Miao He, Shanhu Jiang, Liliang Ren, Hao Cui, Tianling Qin, Shuping Du, Yongwei Zhu, Xiuqin Fang, Chong-Yu Xu
Streamflow prediction in ungauged catchments is a challenging task in hydrological studies. Recently, data-driven models have demonstrated their superiority over traditional hydrological models in predicting streamflow in ungauged catchments. However, previous studies have overlooked the similarities between the training and the target catchments. Therefore, this study explores the role of catchment
-
A revised saline water quality assessment method considering including Mg2+/Na+ as a new indicator for an arid irrigated area J. Hydrol. (IF 5.9) Pub Date : 2024-07-03 Sihui Yan, Tibin Zhang, Binbin Zhang, Hao Feng
The impact of saline water irrigation on soil infiltration properties can be assessed based on electrical conductivity (EC) and sodium adsorption ratio (SAR). However, current saline water quality assessment method does not account for crack formation and related preferential flow problems. To refine the current method of evaluating saline water quality, we incorporated the impact of saline water irrigation
-
The limits to equity in water allocation under scarcity J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Wasim Hassan, Talha Manzoor, Abubakr Muhammad
Equitable water allocation in real-world irrigation systems is hampered by supply fluctuations, posing a significant challenge to the goal of promoting fairness among consumers. In this paper, we concern ourselves with the limits of equity achievable for any water allocation scheme across the entire spectrum of water supply conditions. In the process, we develop a typology of canonical water allocation
-
Automatic detection of urban flood level with YOLOv8 using flooded vehicle dataset J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Jiaquan Wan, Youwei Qin, Yufang Shen, Tao Yang, Xu Yan, Shuo Zhang, Guang Yang, Fengchang Xue, Quan J. Wang
Urban flooding poses significant threats to lives, properties and transportation facilities. Accurate and timely flood information is critical for decision-making. With the advent of 5G technology and the widespread deployment of surveillance cameras in cities, video image is becoming a new data source and showing great potential in urban flood monitoring. This study introduces a methodology for assessing
-
Unveiling nitrate origins in semiarid aquifers: A comparative analysis of Bayesian isotope mixing models using nitrate and boron isotopes and a Positive Matrix Factorization model J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Juan Antonio Torres-Martínez, Jurgen Mahlknecht, Abrahan Mora, Dugin Kaown, Dong-Chan Koh, Bernhard Mayer, Dörthe Tetzlaff
Nitrate contamination of groundwater is a pressing global concern, affecting over 80 million people worldwide, with agricultural activities being the primary contributor to nitrogen inputs into aquifers. The primary objective of this study was to identify the predominant sources of nitrate pollution and biogeochemical transformations in the semiarid region of the Meoqui-Delicias aquifer, Mexico. In
-
Multiple contamination sources, pathways and conceptual model of complex buried karst water system:constrained by hydrogeochemistry and δ2H, δ18O, δ34S, δ13C and 87Sr/86Sr isotopes J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Qian Wang, Xubo Gao, Chunfang Jiang, Chengcheng Li, Xin Zhang, Wanzhou Wang, Yan Duan, Wenting Luo, Zhifeng Mao, Yanxin Wang
Karst groundwater contamination has emerged as a worldwide environmental and health hazard. Karst aquifers, even for the buried karst systems, have strong contamination sensitivity and great pollution risk due to the good pipe fracture connectivity. The large burial depth and invisible hydrologic connectivity pose a challenge for the diagnosis of the contamination sources and identification of the
-
Lateral groundwater discharge drives seasonal variations of groundwater carbon inputs into an agricultural headwater river J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Chuan Wang, Yueqing Xie, Xin Dai, Jichun Wu
Groundwater-mediated terrestrial carbon inputs play a critical role in shaping riverine carbon cycling, water quality, and overall ecosystem health. However, our understanding of seasonal variations in groundwater discharge and concurrent groundwater carbon inputs into rivers, especially in agricultural regions, remains limited. Here, we examined groundwater discharge and groundwater carbon inputs
-
Dynamic characteristics and mechanism of representative elementary volume of LNAPL saturation under freeze–thaw cycles J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Wen Yao, Xiaoxi Gu, Ao Wang, Tong Liu, Chao Wang, Hang Lyu
The exploitation and transportation of petroleum can result in serious subsurface contamination by light non-aqueous phase liquids (LNAPLs) in seasonally frozen regions. Freeze-thaw cycles (FTCs) can alter soil structure and redistribute LNAPLs. In these regions, the representative elementary volume (REV) of LNAPL saturation (S) undergoes dynamic changes. To investigate the impact of FTCs on the REV
-
Spatiotemporal variations of soil water retention and its influencing factors in the alpine-cold river source area, southern Gansu Plateau J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Xuhong Xie, Xinqi Wang, Lei Wu, Jianan Lv, Xuan Zhou
Quantification of soil water retention (SWR) spatiotemporal dynamics and the influences of related dominant factors under the impact of climate and underlying surface change is essential to balancing water resources in ecological restoration processes, particularly in alpine-cold river source areas with limited data availability. In this study, the southern Gansu Plateau (SGP), located in the northeastern
-
Field investigation of unsaturated hydraulic conductivity using actively heated fiber-optic technology J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Jie Liu, Yu-Jun Cui, Meng-Ya Sun, Kai Gu, Jun-Cheng Yao, Chao-Sheng Tang, Bin Shi
Unsaturated hydraulic conductivity (()) is an important soil property that governs transient seepage. Instantaneous profile (IP) method has been routinely applied to determine () of unsaturated soils, but its field application is limited to shallow depth because of the difficulty of deep instrumentation. In this study, an actively heated fiber-optic (AHFO) technology-based IP method was introduced
-
Metaheuristic optimization of water resources: A case study of the Manas River irrigation district J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Yue Pan, Hao Tian, Muhammad Arsalan Farid, Xinlin He, Tong Heng, Cecilie Hermansen, Lis Wollesen de Jonge, Fadong Li, Yongli Gao, Lijun Tian, Guang Yang
Irrigated arid oasis areas experience shortages in water resources and imbalances between supply and demand. A rational water resources allocation strategy must be devised to solve such problems; however, this remains a challenging issue to overcome. In this study, a multi-objective water resources optimization model based on a metaheuristic algorithm was established for the Manas River irrigation
-
The synergistic response between temperature, flow field and nutrients in the tributary disturbed by the Three Gorges reservoir J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Xiaosha Zhi, Yanzhe Xu, Lei Chen, Shibo Chen, Ziqi Zhang, Xinyi Meng, Zhenyao Shen
-
A simple mixing model using electrical conductivity yields robust hydrograph separation in a tropical montane catchment J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Patricio X. Lazo, Giovanny M. Mosquera, Irene Cárdenas, Catalina Segura, Patricio Crespo
Hydrograph separation assessment is crucial to understand stormflow generation at catchments worldwide. Tracer-based methods provide robust estimations of event (or new) and pre-event (or old) water fractions as they account for external and internal catchment hydrological behavior. While models of different mathematical and computational complexity are often used in tracer-based hydrograph separation
-
Hydro-climatological drivers of the unprecedented flooding in August 2022 along the Tarim River, China J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Junqiang Yao, Lianglu Qu, Yaning Chen, Weiyi Mao, Jing Chen
Against the background of high global temperatures and droughts, an unprecedented flood occurred in August 2022 across the Tarim River Basin (TRB), an arid region in China. Based on the observed differing gradients of high-density automated meteorological and hydrological data, this study analyzed the hydro-meteorological drivers of the TRB flood process and revealed the driving mechanism of the flood
-
Estimating temporal patterns of vertical groundwater flux using multidepth temperature time series: A numerical method J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Qiongying Liu, Shunyun Chen, Bo Zhou
Heat has become an increasingly utilized hydrological tracer for quantifying groundwater flow due to its universal distribution and environmental friendliness. Estimating time-varying groundwater flux is of great significance for understanding the transient behavior of the groundwater system. Most heat tracing models for acquiring transient water flux were specially designed for the near-surface medium
-
Enhancing interpretability of AI models in reservoir operation simulation: Exploring and mitigating principal inconsistencies through theory-guided multi-objective artificial neural networks J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Ali Mahmoud, Tiesong Hu, Peiran Jing, Yong Liu, Xiang Li, Xin Wang
AI-driven reservoir simulation models lack interpretability, and their outcomes often violate release boundaries, storage limits, and mass balance, causing inconsistencies with operational principles. These inconsistencies have been mitigated by incorporating operational principles as constraints within the AI models’ training schemes. However, it remains unclear when inconsistencies occur and how
-
Hydrologic responses to wildfires in western Oregon, USA J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Hyunwoo Kang, Ryan P. Cole, Lorrayne Miralha, Jana E. Compton, Kevin D. Bladon
-
Cropland inundation mapping in a mountain dominated region based on multi-resolution remotely sensed imagery and active learning for semantic segmentation J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Hao Jiang, Jianhui Xu, Xun Zhang, Xia Zhou, Yangxiaoyue Liu, Mengjun Ku, Kai Jia, Xuemei Dai, Yishan Sun, Shuisen Chen
Accurate and timely mapping of cropland inundated area is critical to loss assessment and recovery plan development. However, existing methods for cropland inundation mapping using Synthetic Aperture Radar (SAR) imagery are primarily designed for plain regions and may not be suitable for mountainous regions. The complex rugged terrain at large scale present challenges such as significant noise from
-
Integrated warm-wet trends over the Tibetan Plateau in recent decades J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Yifeng Yu, Qinglong You, Yuqing Zhang, Zheng Jin, Shichang Kang, Panmao Zhai
The integrated warm-wet trends over the Tibetan Plateau (TP) have posed a vital influence on human society and natural ecosystem in recent decades. However, there is currently a lack of in-depth research on the trends over the TP. In this study, CN05.1 high-resolution grid data and ERA5 reanalysis data were analyzed to explore temporal and spatial changes of the integrated warm-wet trends over the
-
Contrasting responses of water use efficiency to increasing aridity in alpine shrubs: A modelling perspective J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Menglin Su, Ke Yan, Xiangfu Wang, Jiaxin Jin, Yuanhui Li, Wenting Dong, Haikui Li, Jun Lu, Chuanchuan Zhao, Weifeng Wang
Water use efficiency (WUE), which is strongly related to carbon and water cycles, is crucial for maintaining fragile and sensitive alpine ecosystems. An accurate assessment of the spatial and temporal variations in WUE among alpine shrubs under different aridity levels is essential for quantifying the carbon and water balance in alpine environments. We calibrated the Biome-BGC model using the parameter
-
Comparative study of cloud evolution for rainfall nowcasting using AI-based deep learning algorithms J. Hydrol. (IF 5.9) Pub Date : 2024-07-02 Xianqi Jiang, Ji Chen, Xunlai Chen, Wai-kin Wong, Mingjie Wang, Shuxin Wang
It is a critical need to provide timely and valuable alerts of rainstorms and floods to the public. However, it still remains a world-class challenge to achieve serviceable nowcasting rainstorms with even a short lead time of one hour. Different deep learning algorithms have been adopted to improve nowcasting accuracy. Unfortunately, it is still a question which algorithm is more suitable and how to
-
Seasonal meteorological forcing controls runoff generation at multiple scales in a Mediterranean forested mountain catchment J. Hydrol. (IF 5.9) Pub Date : 2024-07-01 M. Macchioli Grande, K. Kaffas, M. Verdone, M. Borga, C. Cocozza, A. Dani, A. Errico, G. Fabiani, L. Gourdol, J. Klaus, F.S. Manca di Villahermosa, C. Massari, I. Murgia, L. Pfister, F. Preti, C. Segura, C. Tailliez, P. Trucchi, G. Zuecco, D. Penna
Understanding hydrological processes during dry periods in Mediterranean mountain catchments is critical due to the increasing frequency of drought episodes. In this work, we aimed at characterizing the effect of the seasonal variability of meteorological forcing on the hydrological response of a small mountain forested catchment in the Mediterranean region. We analyzed the hydrological response and
-
Challenges in applying water budget framework for estimating groundwater storage changes from GRACE observations J. Hydrol. (IF 5.9) Pub Date : 2024-07-01 Mohamed Akl, Brian F. Thomas
The application of a water budget framework to isolate Gravity Recovery and Climate Experiment (GRACE) groundwater storage anomalies (GRACE-GWA) from GRACE terrestrial water storage anomalies (GRACE-TWSA) is hindered by the lack of direct observations of water budget components. In GRACE groundwater studies, water budget components are frequently applied to isolate changes in a storage component from
-
Assessment of soil-groundwater nitrogen cycling processes in the agricultural region through flux model, stable isotope J. Hydrol. (IF 5.9) Pub Date : 2024-07-01 Yuandong Deng, Xueyan Ye, Jing Feng, Hui Guo, Xinqiang Du
The nitrogen cycle in the soil-groundwater system of agricultural land is a crucial process within the global nitrogen cycle. Human activities have significantly intensified this cycling process in agricultural fields, consequently leading to substantial accumulation of nitrogen in the soil-groundwater system and giving rise to numerous ecological health issues. Quantitative assessment of soil-groundwater
-
Internal erosion in granular soils with different microstructures under cyclically increased hydraulic gradients J. Hydrol. (IF 5.9) Pub Date : 2024-07-01 Chen Chen, Pengtao Zhang, Limin Zhang, Jianmin Zhang, Jianghan Xue, Heng Lu
Internal erosion is one of the leading causes of failures and accidents of embankment dams, dikes, and slopes. The hydraulic loading acts as the driving force to detach the soil particles, while the initial soil microstructure determines the susceptibility of particle loss. In engineering practices, the soil may be subjected to cyclic hydraulic loadings due to water level fluctuations by extreme weather
-
Soil organic matter components and sesquioxides integrally regulate aggregate stability and size distribution under erosion and deposition conditions in southern China J. Hydrol. (IF 5.9) Pub Date : 2024-07-01 Geng Guo, Yu Kong, Yanyin Xu, Xiaoying Peng, Manting Niu, Guangruo Zeng, Zhen Ouyang, Jun Liu, Chen Zhang, Jie Lin
Water erosion considerably affects the stability and particle size distribution of soil aggregates, but the underlying mechanisms of water erosion remain unclear. To this end, we selected four landscape positions (top-, up-, mid-, and toe-slope) with distinct erosion and deposition characteristics on a typical eroded slope in southern China to conduct experiments- aiming to investigate the main drivers
-
Hydrologic connectivity and dynamics of solute transport in a mountain stream: Insights from a long-term tracer test and multiscale transport modeling informed by machine learning J. Hydrol. (IF 5.9) Pub Date : 2024-06-28 Phong V.V. Le, Saubhagya S. Rathore, Ethan T. Coon, Adam Ward, Roy Haggerty, Scott L. Painter
The movement of solutes in a watershed is a complex process with multiple interactions and feedbacks across spatial and temporal scales. Modeling the dynamics of solute transport along diverse hydrologic pathways within watersheds – from hillslopes to stream channels and in and out of the hyporheic zones – is challenging but critically important, as these processes integrate and contribute to the biogeochemical
-
Influence of SMAP soil moisture retrieval assimilation on runoff estimation across South Asia J. Hydrol. (IF 5.9) Pub Date : 2024-06-28 Jawairia A. Ahmad, Bart A. Forman, Augusto Getirana, Sujay V. Kumar
This study was designed to characterize and quantify the influence of surface soil moisture assimilation on estimated runoff (surface flow and baseflow) and hydraulically-routed streamflow across three large river basins in South Asia that are at risk of impending water stress. Soil Moisture Active Passive (SMAP) surface soil moisture retrievals were assimilated into the Noah-MP land surface model
-
Effects of extreme drought and water scarcity on consumer behaviour – The impact of water consumption awareness and Consumers’ choices J. Hydrol. (IF 5.9) Pub Date : 2024-06-27 Sofia Veloso, Carlos Tam, Tiago Oliveira
Unsustainable changes to Earth’s ecosystems and human activities are intensifying global hydrographic pressure. This study explores the connection between extreme drought, water scarcity, and consumer behaviour, investigating the potential psychological impact of these two natural hazards on individuals’ consumption behaviour. Using an integrated model grounded in the theory of interpersonal behaviour
-
Effects of multicollinearity and data granularity on regression models of stream temperature J. Hydrol. (IF 5.9) Pub Date : 2024-06-27 Halil I. Dertli, Daniel B. Hayes, Troy G. Zorn
Water temperature is a key factor influencing biota of stream ecosystems. Hence, it is important to comprehend the environmental drivers of stream temperature for robust prediction of conditions and effective management of stream communities. Linear regression models are commonly used for predictive purposes, but their predictive capacity and interpretability can be significantly affected by their
-
Evaluating the effect of Multi-Scale droughts on autumn phenology of global land biomes with satellite observation J. Hydrol. (IF 5.9) Pub Date : 2024-06-27 Ronglei Zhou, Yangyang Liu, Xueqing Wang, Xu Chen, Gaohui Duan, Peidong Han, Ziqi Lin, Haijing Shi, Zhongming Wen
The end of the growing season (EOS), autumn phenology, is a significant indicator of vegetation health in terrestrial ecosystems. Higher frequency and intensity droughts are expected to have a greater impact on ecosystem homeostasis, and an urgent determination of the impact of temporal effects on autumn phenology is imperative to improve the understanding of ecosystem resilience and resistance and
-
Stable isotope hydrology of a polymictic lake: Capturing transience of groundwater interactions J. Hydrol. (IF 5.9) Pub Date : 2024-06-26 A.M. Alrehaili, C.K. Keller, B.C. Moore, J. Boll
Although there have been many studies of groundwater inflow to small lakes, no systematic attention has been paid to the role of the time interval in the reliability of transient flow analysis. We addressed this issue in a two-year study of the isotope hydrology and water budget of a small lake in eastern Washington State (USA) that has been subject to limited management over several decades. The weighted
-
Improved understanding of calibration efficiency, difficulty and parameter uniqueness of conceptual rainfall runoff models using fitness landscape metrics J. Hydrol. (IF 5.9) Pub Date : 2024-06-26 S. Zhu, H.R. Maier, A.C. Zecchin, M.A. Thyer, J.H.A. Guillaume
The ease and efficiency with which conceptual rainfall runoff (CRR) models can be calibrated, as well as issues related to the uniqueness of their parameters, has received significant attention in literature. While several studies have tried to gain a better understanding of the underlying factors affecting these issues by examining the features of model error surfaces, this has generally been done
-
Detailed effects of reservoir permeability distribution differences on enhanced geothermal systems performance J. Hydrol. (IF 5.9) Pub Date : 2024-06-25 Chunwei Zhou, Gang Liu, Kun Lei, Shengming Liao
In enhanced geothermal systems, fractured reservoir permeability significantly affects geothermal exploitation efficiency. However, the detailed effects are not fully understood while most previous literature ignored the spatial differences of reservoir permeability because of the complexity and heterogeneity of fracture distribution. This study aims to reveal the quantitative relationship between
-
Improved soil moisture estimation and detection of irrigation signal by incorporating SMAP soil moisture into the Indian Land Data Assimilation System (ILDAS) J. Hydrol. (IF 5.9) Pub Date : 2024-06-24 Arijit Chakraborty, Manabendra Saharia, Sumedha Chakma, Dharmendra Kumar Pandey, Kondapalli Niranjan Kumar, Praveen K. Thakur, Sujay Kumar, Augusto Getirana
Land surface models have facilitated the estimation of soil moisture over a range of spatiotemporal scales. However, limitations in model parameterization and under-representation of anthropogenic processes restrict their ability to estimate local-scale soil moisture variability, especially over irrigated areas. Assimilation of satellite-based soil moisture retrievals into land surface models can be
-
Structural characteristics and spatiotemporal changes of a reticular river network based on complex network theory J. Hydrol. (IF 5.9) Pub Date : 2024-06-24 Shanheng Huang, Peng Wang, Zulin Hua, Yueyang Dong, Jingyi Shi
eticular river networks, characterized by a dense pattern of rivers and loop structures, are primarily found in lower river delta plains and are being modified due to rapid population growth and urbanization. This change impacts the distribution of water resources and could result in more frequent and severe floods. Therefore, accurately characterizing the structure of river networks is crucial. In
-
Enhancing hydrological data completeness: A performance evaluation of various machine learning techniques using probabilistic fusion imputer with neural networks for streamflow data reconstruction J. Hydrol. (IF 5.9) Pub Date : 2024-06-23 Arathy Nair G.R., Adarsh S., Ahmed El-Shafie, Ali Najah Ahmed
The present-day accessibility of streamflow data, particularly in the developing countries, is often marked by a multitude of data shortfalls or distortions. This study investigates the estimate of missing streamflow data using machine learning approaches, including K-nearestneighbour (KNN), Predictive Mean Matching (PMM), Random Forest (RF) and a novel technique of Probabilistic Fusion Imputer with