-
Rapid urban flood inundation forecasting using a physics-informed deep learning approach J. Hydrol. (IF 5.9) Pub Date : 2024-09-20 Fang Yang, Wu Ding, Jianshi Zhao, Lixiang Song, Dawen Yang, Xudong Li
Physics-based models can achieve precise flood inundation forecasts, but their real-world application is limited by their high computational cost. Deep learning (DL) models, with the capability to establish mapping relationships for complex mechanistic processes and high computational efficiency, serve as promising alternatives. However, DL models require massive amounts of training data to achieve
-
Development of an integrated global sensitivity analysis strategy for evaluating process sensitivities across single- and multi-models J. Hydrol. (IF 5.9) Pub Date : 2024-09-19 Jing Yang, Yujiao Liu, Heng Dai, Songhu Yuan, Tian Jiao, Zhang Wen, Ming Ye
Evaluating the process sensitivities is critical for development and improvement of many process-based hydrologic models, yet this task remains challenging due to the diverse process conceptualizations. In this study, we developed an integrated global sensitivity analysis strategy tailored for process sensitivity analysis under different process conceptualizations, where a process can be characterized
-
Effects of representative elementary volume size on three-dimensional pore characteristics for modified granite residual soil J. Hydrol. (IF 5.9) Pub Date : 2024-09-18 Tiande Wen, Yinwei Luo, Mingye Tang, Xiangsheng Chen, Longtan Shao
The determination of the Representative Elementary Volume (REV) is vital for comprehending the behavior of soil structural characteristics within the micro-to-macro framework. This study utilizes X-ray computed tomography to provide a detailed microscopic exploration of how waste cement, glass powder, and straw fibers contribute to the reduction of permeability in granite residual soils. Based on the
-
Quantification of soil water content by machine learning using enhanced high-resolution ERT J. Hydrol. (IF 5.9) Pub Date : 2024-09-18 Fansong Meng, Jinguo Wang, Yongsheng Zhao, Zhou Chen
The accurate acquisition of soil water content is a fundamental cornerstone of research into hydrological processes and agricultural engineering. Electrical Resistivity Tomography (ERT) has been validated for hydrological studies and soil monitoring. The establishment of a quantitative relationship between ERT resistivity data and soil water content is usually based on rock physics models. However
-
Petroleum induces soil water repellency and impedes the infiltration and evaporation processes in sandy soil J. Hydrol. (IF 5.9) Pub Date : 2024-09-18 Gaoliang Li, Lijing Wang, Qing Zhen, Jiyong Zheng
Contamination with petroleum could alter the soil hydrological processes and degrade soil and vegetation. Reclamation of petroleum contaminated soil is limited by the absence of scientific data regarding contaminated soil hydrological properties. In this study, we determined the effects of petroleum contamination on the hydrological properties of sandy soil with different contamination levels (0 g
-
A multi-layer nesting and integration approach for predicting groundwater levels in agriculturally intensive areas using data-driven models J. Hydrol. (IF 5.9) Pub Date : 2024-09-17 Feilin Zhu, Yimeng Sun, Tiantian Hou, Mingyu Han, Yurou Zeng, Ou Zhu, Ping-an Zhong
Agricultural water demand, groundwater extraction, surface water delivery and climate exhibit complex nonlinear relationships with groundwater storage in agricultural regions. As alternatives to computationally intensive physical models, data-driven machine learning methods are frequently employed as surrogates to capture these complex relationships, owing to their high computational efficiency. Inevitably
-
Changes in cross-boundary coalescence effects induce the unsynchronized states shift of microbial structure and microbial-mediated nitrogen-cycle pathways in coupled-ecosystem J. Hydrol. (IF 5.9) Pub Date : 2024-09-17 Jiaxin Tong, Wenlong Zhang, Feng Yu, Jiahui Shang, Yajie Zhu, Yi Li
Understanding the coalescence of materials and microorganisms across pre-configured functional zones in coupled ecosystems is crucial for refining ecological restoration strategies. Deciphering how this coalescence triggers changes in state and functionality is key. However, the emergence of alternative states due to coalescence impacts could lead to abrupt ecological changes near boundaries, with
-
Severe decline in extent and seasonality of the Mekong plume after 2000 J. Hydrol. (IF 5.9) Pub Date : 2024-09-17 Yikang Feng, Edward Park, Jingyu Wang, Lian Feng, Dung Duc Tran
-
Hydrological model calibration in data-deficient basins using satellite altimetry and a hydrodynamic model J. Hydrol. (IF 5.9) Pub Date : 2024-09-17 Haoyang Lyu, Khosro Morovati, Keer Zhang, Fuqiang Tian
Large basins with insufficient hydrological station distribution and lacking sufficient meteorological data, such as water level and discharge, pose significant challenges in developing reliable hydrological models. These models are crucial for addressing water resource-related challenges such as climate change (e.g., floods and droughts) and human-induced activities (e.g., dams) impacts. Recent advancements
-
Seasonal nitrate variation as a tracer of preferential flow in bedrock aquifers J. Hydrol. (IF 5.9) Pub Date : 2024-09-17 Stephen R.H. Worthington
Short-term nitrate variations in streams are common, but the extent of groundwater contributions to such variability has been unclear. Analysis of well, spring and stream nitrate concentrations plus well water levels and stream flow for a chalk aquifer in Dorset (UK) shows that nitrate variation in streams lags discharge peaks by days to weeks. Spring monitoring also shows a short lag time, showing
-
Past, present, and future of the Hurst-Kolmogorov dynamics in Stochastics: A bibliometric analysis of the last 50 years in water resources J. Hydrol. (IF 5.9) Pub Date : 2024-09-17 Alonso Pizarro, Pablo Acuña, Panayiotis Dimitriadis, Theano Iliopoulou, Demetris Koutsoyiannis
Hurst’s paper on the Nile’s flow variability marked a pivotal moment in hydrology and beyond by introducing what was called the Hurst phenomenon. Independently, Kolmogorov developed a mathematical model describing this behaviour a decade earlier. The Hurst-Kolmogorov dynamics (HKd) is used to express this phenomenon physically and mathematically, which is characterised by high uncertainty and persistence
-
The subreach effect: Multi-scale analysis reveals climate and irrigation infrastructure effects on flow intermittency in a regulated desert river J. Hydrol. (IF 5.9) Pub Date : 2024-09-17 Eliza I. Gilbert, Thomas F. Turner, Melanie E. Moses, Alex J. Webster
Fluvial ecosystems are vital for biodiversity and human welfare but face increasing threats from flow intermittency caused by climate change and water development. We analyzed 12 years of spatially explicit daily river drying from the Rio Grande, a historically perennial and regulated river in the North American desert southwest. Using multivariate autoregressive state space models, we identified the
-
Machine learning insights into the evolution of flood Resilience: A synthesized framework study J. Hydrol. (IF 5.9) Pub Date : 2024-09-17 Yongyang Wang, Pan Zhang, Yulei Xie, Lei Chen, Yanpeng Cai
Enhancing urban resilience represented a viable strategy to mitigate flooding induced by intense human activities and climate change. However, existing studies often concentrated on system attributes or isolated resilience characteristics, failing to offer a holistic evaluation of urban flood resilience performance. Thus, it was imperative to develop a comprehensive flood resilience framework that
-
Direct observations of evapotranspiration from three contrasting vegetation types on a coastal low-lying sub-tropical sand island J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Michael A. Gray, Hamish A. McGowan, Adrien Guyot, David A. Lockington
Coastal low-lying sand islands confront an imminent threat owing to global warming, primarily stemming from the confluence of rising sea levels and amplified precipitation variability. These islands harbour delicate freshwater reservoirs in unconfined aquifers, reliant significantly upon precipitation for replenishment. This investigation focuses on a sand island situated along Australia’s eastern
-
High-accuracy and low-disturbance approach for identifying surface water and groundwater interactions in wetlands J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Yao-Wen Hsu, Shang-Shu Shih
Comprehending the hydrological conditions in wetlands is a critical aspect of successfully enhancing wetland conservation. The interaction between wetland surface water and groundwater is a complex process, requiring detailed onsite hydrological and soil surveys, laboratory experiments, and modeling to clarify this relationship. However, conventional investigation methods often cause significant disruptions
-
Migration and transformation mechanisms of iron and manganese during river infiltration affected by the changes in riverbed sediment thickness J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Jing Bai, Zhijiang Yuan, Jiamei Wang, Yumeng Yan, Bill X. Hu, Xiaosi Su
Riverbed scouring and siltation, affected by variations in river flow and sediment concentration, can cause changes in the sediment thickness, leading to the complex feedback between riverbed permeability and nutrient–reactive transport processes. Currently, the migration and transformation of iron and manganese under changed riverbed sediment thickness have not been taken into account. Based on indoor
-
DSC-YOLOv8n: An advanced automatic detection algorithm for urban flood levels J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Jiaquan Wan, Yufang Shen, Fengchang Xue, Xu Yan, Youwei Qin, Tao Yang, Guang Yang, Quan J. Wang
Recent years, frequent floods have posed enormous challenges to urban systems worldwide. Real-time accurate urban flood information has a significant impact on emergency decisions. With the growth of citizen sensor science, video image is becoming a novel data source and emerging great potential in urban flood management. Recent studies have focused on detecting the flooded states of reference objects
-
Impact of climatic and geomorphologic drivers on sediment connectivity in the Tarim River Basin, China J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Chuanxiu Liu, Yaning Chen, Gonghuan Fang, Zhi Li, Yongchang Liu
Sediment connectivity influences sediment flux in the Tarim River Basin (TRB), a region facing severe sedimentation and desertification, which directly threaten the region’s ecological security. To analyze the potential connectivity of sediment from hillslope to catchment outlets, we calculated the index of connectivity (IC) of TRB from 1990 to 2020 using a sediment connectivity model, referencing
-
Characterizing the Kamphorst rainfall simulator for soil erosion investigations J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 F.G. Carollo, R. Caruso, V. Ferro, M.A. Serio
In this paper, the results of the characterization of Kamphorst’s rainfall simulator obtained by laboratory experiments carried out at the Department of Agricultural, Food, and Forest Sciences of the University of Palermo, are presented. At first, the rainfall uniformity distribution was positively verified considering several pressure heads (ranging from 1.9 cm to 11.9 cm) and water temperatures (from
-
Gross primary production-coupled evapotranspiration in the global arid and semi-arid regions based on the NIRv index J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Yanxin Su, Guojing Gan, Jingyi Bu, Mengjia Yuan, Hongyu Ma, Xianghe Liu, Yongqiang Zhang, Yanchun Gao
In arid and semi-arid regions, accurate estimates of global primary productivity (GPP) and evapotranspiration (ET) are critical for understanding and managing water and carbon cycling in these fragile ecosystems. In this study, an improved ET-photosynthesis model (PT-JPL-GPP) was used to optimize GPP and ET estimates in these ecosystems by introducing the near infrared reflectance index (NIRv). NIRv
-
Capturing information about the nonlinear impact between droughts and vegetation dynamics based on nonlinear dynamical system theory J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Yiyang Zhao, Zhaoqiang Zhou, Zhaodan Cao, Yiguang Zou, Yao Wang
Understanding the response of vegetation dynamics to droughts at regional scales is of great importance to reveal the behavior mechanism of terrestrial ecosystems. Under the realm of statistical analysis, this study intends to detect the quantitative information about the impact from droughts to vegetation dynamics, from their respective time series. Two problems should be considered regarding the
-
Evaluation of subsurface soil water content estimate methods: Maximum entropy vs. exponential filter J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Huoqian Luo, Pei Zhang, Jianbin Su, Donghai Zheng
Profile soil water content (SWC) is a vital variable in the atmosphere-vegetation-soil system. Although remote sensing currently can provide reliable surface SWC data (∼5 cm depth), acquiring accurate subsurface SWC data from existing reanalysis products remain challenging. In this study, we evaluated two widely used methods in estimating subsurface SWC, namely the exponential filter (ExpF) and the
-
Vulnerability indicators of seawater intrusion in offshore aquifers J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Zayed Mohammed Asiri, Anthony D. Miller, Adrian D. Werner, S. Cristina Solórzano-Rivas, Sergiy Shelyag
This study represents the first attempt to define vulnerability indicators for offshore fresh groundwater, extending prior analyses of the key threats to onshore coastal aquifers. The method applies an existing steady-state sharp-interface coastal aquifer model with semi-confined offshore extension to characterise the sensitivities of the tip and toe locations (top and bottom of the freshwater–seawater
-
Groundwater driven carbon fluxes in a restored coastal saltmarsh wetland: Implications for coastal wetland restoration J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Mahmood Sadat-Noori, Martin S. Andersen, Katrina Waddington, Jamie Ruprecht, Tobias A. Tucker, William Glamore
Coastal wetlands play a crucial role in the global carbon cycle, yet they have been extensively degraded over the past decade. Though restoration efforts are underway worldwide, there is limited understanding of the role groundwater plays in transporting dissolved carbon within restored wetlands. Here, we address this knowledge gap by investigating water and carbon fluxes in the restored Tomago Wetlands
-
DTTR: Encoding and decoding monthly runoff prediction model based on deep temporal attention convolution and multimodal fusion J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Wen-chuan Wang, Wei-can Tian, Xiao-xue Hu, Yang-hao Hong, Fu-xin Chai, Dong-mei Xu
Accurate runoff forecasting facilitates effective water resource management, and ensures the sustainable allocation of water for agricultural, industrial, and domestic use. Accurate runoff prediction has become more challenging due to the increased complexity associated with climate change and human activities. This paper proposes a new forecasting model, Deep Convolutional Residual Network with Temporal
-
An analytic element model for flow in fractured impermeable rock J. Hydrol. (IF 5.9) Pub Date : 2024-09-16 Otto D.L. Strack, Erik A.L. Toller
We present an analytic element model for three-dimensional flow in fractured impermeable rock. The flow in each fracture is governed by both Darcy’s law and mass balance. We formulate the problem in terms of complex variables and introduce a complex potential in each fracture, defined inside a circular impermeable boundary. Some of the fractures are connected to stream- or riverbeds and wells may be
-
Real-time two-dimensional visualization reveals the transport mechanisms of biochar colloids in the presence of DOM in porous media J. Hydrol. (IF 5.9) Pub Date : 2024-09-15 Ying Zhao, Jian Song, Xueyan Lyu, Shaohua Cao, Zhuqing Liu, Fan Yang
Biochar colloids (BCs) have attracted much attention globally, and their fate and transport in the subsurface are significantly influenced by soil-dissolved organic matter (DOM) in soil. This study utilized a real-time and non-invasive visualization system to reveal the transport and retention behavior of BCs in the presence of DOM in two-dimensional porous media. Results indicated that the presence
-
Assessment on vulnerability of road networks considering the dynamic impact of urban waterlogging and the mitigation effect of LID measures J. Hydrol. (IF 5.9) Pub Date : 2024-09-14 Chengguang Lai, Yifan Luo, Xuefang Li, Haijun Yu, Zhaoyang Zeng, Shanshan Li, Weizhi Gao, Zhaoli Wang
The urban waterlogging stemming from the rainstorm exerts a considerable adverse influence on road networks. Accurately evaluating the vulnerability of road networks during waterlogging is a crucial measure to alleviate flood risk and damage. Nevertheless, previous research merely considered the maximum inundation depth of waterlogging, but neglecting the dynamic variation of waterlogging. In this
-
Hyperparameter optimization of regional hydrological LSTMs by random search: A case study from Basque Country, Spain J. Hydrol. (IF 5.9) Pub Date : 2024-09-14 F. Hosseini, C. Prieto, C. Álvarez
This paper introduces a novel approach for hyperparameter optimization of long short-term memory networks (LSTMs) to achieve highly accurate hourly streamflow and water level predictions in the realm of regional rainfall-runoff modeling. Leveraging simultaneous systematic hyperparameter optimization of 10 distinct hyperparameters by Random Search, the study achieves high accuracy in terms of predictions
-
Flow velocity determines detritus availability and microbial food web patterns in a river confluence J. Hydrol. (IF 5.9) Pub Date : 2024-09-14 Ziying Liao, Yi Li, Cizhang Hui, Li Lin
Detritus is the vital support for the microbial food web, which would further affect river ecological conditions. Determining the effects of detritus availability on microbial food webs in rivers is critical for protecting river ecological functions. However, the detritus availability was difficult to estimate directly, since the detritus transformation processes (i.e. detritus availability) and flow-induced
-
Enhancing streamflow predictions with machine learning and Copula-Embedded Bayesian model averaging J. Hydrol. (IF 5.9) Pub Date : 2024-09-14 Ali Sattari, Keighobad Jafarzadegan, Hamid Moradkhani
This study proposes a two-step probabilistic post-processing approach that combines different machine learning-based postprocessors through the Copula-Embedded Bayesian Model Averaging (COP-BMA) method to improve the performance of a hydrological model for streamflow predictions. The proposed approach serves a two-fold purpose: firstly, it aims to enhance the accuracy of streamflow predictions, and
-
Can temperature be a low-cost tracer for modelling water age distributions in a karst catchment? J. Hydrol. (IF 5.9) Pub Date : 2024-09-13 Zhicai Zhang, Xian Wang, Xi Chen, Yongyu Xie, Qinbo Cheng, Qing He, Tao Peng, Bo Chen, Chris Soulsby
To investigate the feasibility of using temperature for tracking rainfall-runoff processes in karst catchments, this study developed a tracer-aided conceptual model using temperature as a tracer by coupling water and heat transport processes at the catchment scale. The model was calibrated and validated using hourly hydrometeorological and temperature data from a 1.25 km2 karst catchment in south-western
-
Does afforestation increase soil water buffering? A demonstrator study on soil moisture variability in the Alpine Geroldsbach catchment, Austria J. Hydrol. (IF 5.9) Pub Date : 2024-09-12 Roy E. Molenaar, Manfred Kleidorfer, Bernhard Kohl, Adriaan J. Teuling, Stefan Achleitner
This study employed an operational monitoring network to measure soil moisture and runoff behaviour continuously in the Alpine catchment Geroldsbach-Götzens, Austria. We hypothesize that afforestation can have a positive impact on soil water buffering. To analyse the impact of soil properties and vegetation cover changes on soil water dynamics, four experimental plots were established on grassland
-
Quantifying recharge mechanisms in low-hilly areas of a loess region: Implications for the quantity and quality of groundwater J. Hydrol. (IF 5.9) Pub Date : 2024-09-12 Han Li, Wei Xiang, Bingcheng Si, Min Min, Changhong Miao, Jingjing Jin
Groundwater plays a crucial role in sustaining water supply and irrigation in arid regions with thick vadose zones; however, the recharge mechanisms and their impact on water quality remain contentious. For flood-irrigated areas, irrigation water amount is not well known to evaluate the effect of irrigation on the recharge. In this study, we employed multiple tracers to investigate recharge mechanisms
-
Improving sub-seasonal extreme precipitation forecasts over China through a hybrid statistical-dynamical framework J. Hydrol. (IF 5.9) Pub Date : 2024-09-10 Yuan LI, Zhiyong WU
Skillful and reliable sub-seasonal extreme precipitation forecasts are crucial for disaster prevention and mitigation. In this study, we introduce a hybrid statistical-dynamical framework to predict monthly maximum one-day precipitation (Rx1D) and monthly maximum five-day precipitation (Rx5D) over China from May to October. In the hybrid statistical-dynamical framework, the ECMWF forecasts of precipitation
-
Characterizing the uncertainty of CMORPH products for estimating orographic precipitation over Northern California J. Hydrol. (IF 5.9) Pub Date : 2024-09-10 Zhe Li, Haonan Chen, Robert Cifelli, Pingping Xie, Xiaodong Chen
Satellite-based precipitation products (SPPs), such as the NOAA Climate Prediction Center (CPC) Morphing technique (CMORPH), have greatly extended our ability to monitor global precipitation. However, their performance over complex terrain remains highly uncertain. To improve accuracy, CPC has recently upgraded its operational SPP to the second generation CMORPH–CMORPH2. In addition to such efforts
-
Snow simulation for the rangeland hydrology and erosion model J. Hydrol. (IF 5.9) Pub Date : 2024-09-07 Patrick D. Broxton, David C. Goodrich, D. Phillip Guertin, C. Jason Williams, Carl Unkrich, Mariano Hernandez, Andrew Fullhart, Carrie-Ann Houdeshell, Mark Seyfried, Loretta Metz
In the western US, most rangelands receive snowfall. Yet, a commonly used tool to assess rangeland’s vulnerability to erosion, the USDA’s Rangeland Hydrology and Erosion Model (RHEM) is run using long-term simulated climate inputs that assumes that all precipitation occurs as rainfall. This can be problematic for areas that receive heavy snowfall or substantial rain-on-snow events. In this research
-
Comparing evaporation from water balance framework and multiple models on a global scale J. Hydrol. (IF 5.9) Pub Date : 2024-09-06 Jinghua Xiong, Abhishek, Chong Zhang, Li Xu, Hrishikesh A. Chandanpurkar, James S. Famiglietti, Pat J.-F. Yeh, Zhongbo Yu, Ningpeng Dong, Haoran Hao, Shuang Yi, Lei Cheng, Shenglian Guo, Yun Pan
Terrestrial evaporation (ET) estimates from the water balance framework and large-scale modeling have been widely used in the evaluation and prediction of hydrological regimes. However, each method has its inherent limitations, including the external bias introduced by forcing variables, simplified functional relationships, and unconsidered human modules. A systematic comparison between water balance
-
The implication of information theory for estimating and detangling hydrological modelling uncertainty J. Hydrol. (IF 5.9) Pub Date : 2024-09-05 Evangelos Findanis, Athanasios Loukas
In the present article, the Theory of Information is applied to hydrological time series to quantify their informational content. Uncertainty is defined as the gap between available and required knowledge. This approach is more intuitive than the traditional treatment of uncertainty as confidence intervals. Moreover, a theoretical framework is developed, in which the components of total uncertainty
-
Quantifying the effect of salinity on dielectric-based soil moisture measurements using COSMOS records J. Hydrol. (IF 5.9) Pub Date : 2024-09-05 Jundong Wang, Zhigang Sun, Ting Yang, Bing Wang, Wenjun Dou, Wanxue Zhu
Accurate Soil Moisture (SM) measurements are essential for agronomic practices and environmental applications in coastal saline areas. However, soil salinity can introduce significant errors in state-of-the-art SM measurements based on dielectric theory. The Cosmic-ray Soil Moisture Observing System (COSMOS) has the advantage of measuring SM independent of soil salinity, with a field-scale resolution
-
Time-varying parameters of the hydrological simulation model under a changing environment J. Hydrol. (IF 5.9) Pub Date : 2024-09-04 Ruimin Liu, Ying Luo, Qingrui Wang, Yue Wang, Yue Liu, Xinghui Xia, Enhui Jiang
Time-varying parameters of hydrological models play a crucial role in capturing the dynamic nature of hydrological processes and nonpoint source pollution under changing environments. In this study, the SWAT-DynamicParam model was developed by integrating the Soil and Water Assessment Tool (SWAT) model with an ensemble Kalman filter (EnKF) to identify and analyze time-varying parameters. The results
-
A multi-objective operation optimization method for dynamic control of reservoir water level in evolving flood season environments J. Hydrol. (IF 5.9) Pub Date : 2024-09-04 Li Zhang, Zhong-kai Feng, Xin-ru Yao, Wen-jing Niu, Yong-qiang Wang, Li Mo
Current multi-objective optimization methods, traditionally rooted in static models, often neglect uncertainties and environmental interactions such as forecast accuracy and reservoir conditions. This study introduces a novel multi-objective operational optimization model aimed at dynamically controlling reservoir water levels in evolving flood season environments. The proposed model conducts a comprehensive
-
A general unit hydrograph theory for water level and tidal range distributions in the Modaomen Estuary, China J. Hydrol. (IF 5.9) Pub Date : 2024-09-03 Bo Li, Huayang Cai, Gaojin Li, Jing Liu, Zhenyan She, Yajun Wang, Suying Ou, Feng Liu, Tongtiegang Zhao, Kairong Lin
Understanding the spatial distributions of river-tide dynamics in estuaries and their response to intensive human interventions is critical. However, the studies on the characteristics of the spatial distributions of water level and tidal range are insufficient, with inadequate direct established empirical formulas. In this study, we propose a general and analytical water level and tidal range distribution
-
Precipitation measurements experiment using microwave links in Eastern China from October 2020 to March 2022 J. Hydrol. (IF 5.9) Pub Date : 2024-09-03 Kang Pu, Xichuan Liu
Precipitation is an important piece of information needed in many areas such as transportation, military and agriculture, and microwave links have proven to be an effective means of acquiring it and can be used as a complementary means for professional precipitation measurement instruments such as rain gauges, weather radar, rain measuring satellites, etc. In this paper, two microwave links (at 26 GHz
-
A Coupled Human and Natural Systems (CHANS) framework integrated with reinforcement learning for urban flood mitigation J. Hydrol. (IF 5.9) Pub Date : 2024-09-03 Haoyang Qin, Qiuhua Liang, Huili Chen, Varuna De Silva
To address the challenge of escalating urban flood risk and the deficiency in effective flood emergency management, this study introduces a novel Coupled Human and Natural Systems (CHANS) modelling framework that employs hierarchical reinforcement learning to optimise mobile pump scheduling and placement for urban flood risk mitigation. The CHANS framework integrates hydrodynamic and agent-based models
-
Theoretical and earthquake-induced groundwater chemistry changes: A perspective J. Hydrol. (IF 5.9) Pub Date : 2024-09-03 Sachita Baniya, Shukra Raj Paudel, Michael J. Angove, Garima Acharya, Amrita Wagle, Manita Khatri, Huu Hao Ngo, Wenshan Guo, Bandita Mainali
To minimize the loss of life caused by earthquakes, it is crucial to have early warning tools that provide sufficient warning time. Although various methods are available, their accuracy is uncertain. This review explores alternative indicators related to hydrogeochemical anomalies that appear before earthquakes, which could potentially offer earlier warnings. It presents a theoretical basis for ionic
-
Mechanically and accurately calculate river width in vegetation areas by coupling Sentinel-1 and -2 imageries within land-water-mixed pixels J. Hydrol. (IF 5.9) Pub Date : 2024-09-03 Maomao Li, Changsen Zhao, Zhen Duan, Hongguang Cheng, Yanqing Lian, Guoqing Wang
Accurately measuring river width has been one of greatest challenges due to the presence of mixed land–water pixels intersecting river boundaries. Therefore, this study proposed a novel mechanical method (RW-vebasud), instead of traditionally empirical models, to estimate river width within a pixel in vegetation areas based on time series analysis of Sentinel-1 and Sentinel-2 spaceborne multispectral
-
Modeling the impact of long-term land use changes on deep soil hydrological processes in the Loess Plateau, China J. Hydrol. (IF 5.9) Pub Date : 2024-09-03 Yakun Wang, Yanan Jiang, Ying Zhao, Xinbo Li, Kun Xie, Ting Yan, Tingting Wei, Ping Li, Huijie Li
Land use change can significantly affect soil hydrology in arid and semi-arid regions, making it crucial to understand the relationship between vegetation roots and soil moisture. Current models often fail to predict root growth and its impacts on water dynamics accurately. Our work presents a novel model that seamlessly integrates the Community Land Model (CLM) with the Soil & Water Assessment Tool
-
Conjunctive optimal design of water and power networks J. Hydrol. (IF 5.9) Pub Date : 2024-09-03 Tomer Shmaya, Avi Ostfeld
Water distribution systems (WDS) and power grids (PG) are critical infrastructure systems that are vital to all human activity. As such, their quality of service is of great importance for economic, environmental, and human welfare reasons. Although traditionally being analyzed separately, the two systems are interconnected and can mutually affect one another. In order to utilize the potential benefits
-
Comparison of methods measuring electrical conductivity in coastal aquifers J. Hydrol. (IF 5.9) Pub Date : 2024-09-03 Nico Skibbe, Thomas Günther, Kai Schwalfenberg, Rena Meyer, Anja Reckhardt, Janek Greskowiak, Gudrun Massmann, Mike Müller-Petke
Coastal aquifers, the transition zone between freshwater and saltwater, show large salinity contrasts in the subsurface. Salinity is a key parameter to understand coastal groundwater flow dynamics and consequently also geochemical and microbial processes. For mapping porewater salinity, a variety of methods exists, mainly using electrical conductivity as a proxy. We investigate methods including h
-
Electrical conductivity fluctuations as a tracer to determine time-dependent transport characteristics in hyporheic sediments J. Hydrol. (IF 5.9) Pub Date : 2024-09-02 Jonas L. Schaper, Olaf A. Cirpka, Joerg Lewandowski, Christiane Zarfl
Assessing solute transport in riverbed sediments is important for quantifying the effective reactivity of hyporheic sediments and the magnitude of exchange flows between rivers and their river beds. A typical approach of estimating transport in riverbed sediments is by measuring natural tracers such as fluctuations of temperature or electrical conductivity (EC) and fitting models to them that assume
-
Distributed modelling of snow and ice melt in the Naltar Catchment, Upper Indus basin J. Hydrol. (IF 5.9) Pub Date : 2024-09-02 Muhammad Usman Liaqat, Roberto Ranzi
Energy balance distributed modelling in High Mountain Asia (HMA) is important to examine glaciological and hydrological processes and assess changes in streamflow in the current and future climate. In this study, the Physically based Distributed Snow Land and Ice Model (PDSLIM) using detailed observed meteorological data at hourly scale is employed to simulate the hydrological response of the Naltar
-
Optimization of soil hydrological properties in degraded grasslands by soil amendments J. Hydrol. (IF 5.9) Pub Date : 2024-09-02 Miaoping Xu, Yinyi Liu, Jiazhen Xi, Shiqing Li, Ziyan Li
Soil amendments facilitate the restoration of degraded soil fertility and vegetation productivity. Soil hydrological functions are crucial for assessing soil degradation and restoration in grassland ecosystems. However, the manner in which soil amendments drive changes in the hydrological properties of grassland ecosystems at different soil depths remains unclear. In this study, we conducted a five-year
-
Quantitative analysis of the sensitivity and spatial stratified heterogeneity of extreme precipitation across river basins J. Hydrol. (IF 5.9) Pub Date : 2024-09-02 Ruixin Duan, Linhao Zhong, Guohe Huang, Yongping Li, Feng Wang
Global warming is expected to lead to a continuous increase in extreme precipitation. However, the response of extreme precipitation to climate change remains not entirely clear. This study quantitatively analyzes extreme precipitation in multiple river basins of China over the past nearly 60 years using high spatial resolution data. Both extreme precipitation and mean precipitation exhibit a spatial
-
Investigation of turbulence and interfacial exchange features of the gap area within the fully developed Shallow-Submerged canopy flow J. Hydrol. (IF 5.9) Pub Date : 2024-09-02 Mengyang Liu, Saiyu Yuan, Hongwu Tang, Wenxin Huai, Jing Yan
The flow patterns within a longitudinal gap area formed by discontinuous distributions of submerged canopy, as well as the momentum and mass exchange characteristics between the gap area and the overlying free-flow, were studied using high-resolution Large Eddy Simulation (LES). The gap area is located within the fully developed region of submerged canopy flow. The simulations considered four aspect
-
High-frequency spatial sediment source fingerprinting using in situ absorbance data J. Hydrol. (IF 5.9) Pub Date : 2024-09-02 Niels F. Lake, Núria Martínez-Carreras, Peter J. Shaw, Adrian L. Collins
Sediment fingerprinting is a commonly applied approach to quantify catchment suspended sediment (SS) source contributions. However, due to the high workloads and costs involved in SS sampling and laboratory analyses, traditional procedures often result in a limited number of samples and sampling campaigns, which can hamper the capacity to capture the intra- and inter-storm variations in SS source activation
-
Improving evapotranspiration partitioning by integrating satellite vegetation parameters into a land surface model J. Hydrol. (IF 5.9) Pub Date : 2024-09-02 Dawei Peng, Xianhong Xie, Shunlin Liang, Yibing Wang, Arken Tursun, Yao Liu, Kun Jia, Han Ma, Yuchao Chen
Land evapotranspiration (ET) primarily involves vegetation transpiration, canopy interception loss, and soil evaporation. Previous studies have made significant progress in total ET estimation; however, substantial challenges remain in partitioning ET on a regional scale, largely due to the intricate water and energy balance that is disrupted by vegetation cover changes. The accuracy of land surface
-
Improving streamflow forecasting in semi-arid basins by combining data segmentation and attention-based deep learning J. Hydrol. (IF 5.9) Pub Date : 2024-09-02 Zijie Tang, Jianyun Zhang, Mengliu Hu, Zhongrui Ning, Jiayong Shi, Ran Zhai, Cuishan Liu, Jiangjiang Zhang, Guoqing Wang
The increasing threats of flash floods and water scarcity in semi-arid regions necessitate high-quality streamflow forecasting with process-based or data-driven models. However, temporal heterogeneity of hydrological patterns and infrequent flood events present challenges for accurate streamflow forecasting. To address this issue, we purpose an effective modeling approach that combines a novel data
-
Enhanced runoff simulation by precise capture of snowmelt variation signals with satellite-based snow products in a high-elevation basin J. Hydrol. (IF 5.9) Pub Date : 2024-09-02 Zhanliang Zhu, Xiongpeng Tang, Jianyun Zhang, Lei Liu, Chao Gao, Silong Zhang, Guoqing Wang, Junliang Jin, Cuishan Liu, Haoting Xu, Yehai Tang
Hydrological models stand as a pivotal instrument for runoff simulation, while encountering notable uncertainties in output due to intricate terrain conditions and limited ground-based observations, especially in high-elevation basins. Leveraging satellite-based images presents a promising avenue for deciphering the hydrological model’s state variables. In pursuit of refining runoff simulation, this
-
Two-dimensional distribution of arsenic species in the riparian zone regulated by As-Fe co-transformation under varying river water proportions and bicarbonate concentrations J. Hydrol. (IF 5.9) Pub Date : 2024-09-02 Shengjun Mao, Yao Huang, Shuang Li, Minjing Li, Songhu Yuan, Zhang Wen, Peng Liu, Hui Liu
Arsenic (As) contamination of groundwater is a major issue in global environmental health. In the riparian zone, mixing river water and groundwater with different substances is proposed to affect arsenic transformation and distribution. However, the distribution of arsenic species in the riparian zone and its co-transformation with iron under varying river water proportions and bicarbonate (HCO) concentrations