-
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
-
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
-
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
-
Corrigendum to “Predicting the performance of green stormwater infrastructure using multivariate long short-term memory (LSTM) neural network” [J. Hydrol. (2023) 130076] J. Hydrol. (IF 5.9) Pub Date : 2024-09-02 Md Abdullah Al Mehedi, Achira Amur, Jessica Metcalf, Matthew McGauley, Virginia Smith, Bridget Wadzuk
-
Evolution characteristic and mechanism of microstructure, hydraulic and mechanical behaviors of sandstone treated by acid-rock reaction: Application of in-situ leaching of uranium deposits J. Hydrol. (IF 5.9) Pub Date : 2024-09-01 Mingwei Hu, Qinghe Niu, Wei Yuan, Wei Wang, Jiangfang Chang, Zhigang Du, Qizhi Wang, Yongxiang Zheng, Shuantong Shangguan, Xiaofei Qi, Zhongmin Ji, Kaiyuan Ma, Jiabin He, Zhenkang Wang, Yongzhi Yao
The main difficulty in understanding the effects of chemical-physical composite stimulation for low-permeability sandstone-type uranium deposits is clarifying the influence of acidification on pore response mechanism and permeability-mechanical properties evolution during loading-deformation-failure process. Therefore, the acid-rock reaction experiment was first performed, the multiple testing methods
-
Finite difference solution for contaminant transport through a GCL composite cutoff wall-aquifer system considering semipermeable membrane effect J. Hydrol. (IF 5.9) Pub Date : 2024-09-01 He-Fu Pu, Sheng-Yi Deng, Ming Min, Yong-Wei Zhou
Semipermeable membrane effect is an important factor affecting the contaminant transport behavior through the bentonite-based barriers for waste containment. However, this effect has been ignored in majority of the existing analytical and numerical studies on contaminant transport, although it has been widely demonstrated in laboratory and field tests. Taking into account the semipermeable membrane
-
Examining relations between sea-level anomalies in the Niño 3.4 region and terrestrial hydroclimatic conditions in China J. Hydrol. (IF 5.9) Pub Date : 2024-09-01 Pengfei Yang, Hok Sum Fok, Bastien Dieppois, Qing He, Zhongtian Ma
As a key driver of global climate variability, El Niño–Southern Oscillation (ENSO) significantly impacts the regional hydrological cycle. Similar to the recognized ENSO monitoring index (i.e., sea surface temperature anomaly), a potential advancement in the usage of sea level anomaly (SLA) in the equatorial Pacific is expected to enhance our knowledge of ENSO and its influence on regional terrestrial
-
Unexpected hydrologic response to ecosystem state change in tallgrass prairie J. Hydrol. (IF 5.9) Pub Date : 2024-09-01 R.M. Keen, K. Sadayappan, K.M. Jarecke, L. Li, M.F. Kirk, P.L. Sullivan, J.B. Nippert
In grasslands around the world, climate change is occurring in tandem with woody encroachment (the spread of woody vegetation in grass-dominated ecosystems). State transitions from grassland to shrub/woodland have been identified aboveground via changes in species cover and composition, but the hydrological impact of these transitions is not well understood. Shifts from grass- to woody-dominance have
-
Season-dependent climate sensitivity of the surface runoff of major rivers in Changbai Mountain J. Hydrol. (IF 5.9) Pub Date : 2024-09-01 Xinran Li, Hong S. He, Na Li, Heyuan Yu, Shengwei Zong, Zhengfang Wu, Haibo Du
Due to the sensitivity of runoff to changes in seasonal snowpack, the changes in surface runoff within high-latitude and high-elevation areas are more complex than in other areas. However, this sensitivity is often overlooked when correlating changes in runoff with meteorological variables. Here, we analyze changes in surface runoff during snowmelt and snowless periods and their sensitivity to climate
-
Quantifying the effects of direct human activities and climate change on the spatial propagation of hydrological drought in the Yellow River Basin, China J. Hydrol. (IF 5.9) Pub Date : 2024-09-01 Meng Du, Shengzhi Huang, Vijay P. Singh, Guoyong Leng, Qiang Huang, Yifei Li
The spatio-temporal evolution and propagation of flood and drought events are important in predicting their occurrences. This study attempted to investigate into the spatial propagation characteristics of hydrological droughts and their dynamics by identifying the spatial propagation probability (PP) and propagation time (PT) of different drought levels in the Yellow River Basin (YRB), China, based
-
Seasonal changes of dissolved CO2 and its linkage with optical characteristics of DOM in groundwater in agricultural areas J. Hydrol. (IF 5.9) Pub Date : 2024-09-01 Pan Huo, Pengcheng Gao
Groundwater contains significant quantities of dissolved CO, which are crucial contributors to the global carbon cycle. Dissolved organic matter (DOM) functions as a principal carbon and energy source for microbial communities within groundwater ecosystems, yet the relationship between dissolved CO and optical characteristics of DOM remains ambiguous. Here, we delineate the variations in seasonal and
-
Nutritional status of the reservoir tributary backwater area and implications for nutrient control J. Hydrol. (IF 5.9) Pub Date : 2024-09-01 Shibo Chen, Lei Chen, Xiaosha Zhi, Leifang Li, Yanzhe Xu, Xinyi Meng, Jing Jiang, Li Deng, Zhenyao Shen
Understanding the spatial and temporal distribution and driving factors of the nutritional status in the backwater area of typical tributaries in the Three Gorges Reservoir Region (TGRR) is important for the prevention and control measures. In this study, the Environmental Fluid Dynamics Code (EFDC) was used to extend in situ monitoring data, followed by the application of hydrogen and oxygen isotope
-
Precipitation sensitivity of vegetation growth in southern China depends on geological settings J. Hydrol. (IF 5.9) Pub Date : 2024-09-01 Lu Wang, Yuemin Yue, Jiawen Cui, Hongyan Liu, Liang Shi, Boyi Liang, Qian Li, Kelin Wang
Southern China is in the only humid zone at its latitudes of Northern Hemisphere and has the most extensive karst landscapes. Although the region experienced significant greening, the fragile karst geological setting and reduced precipitation may affect the greening efforts. Here we analyze the sensitivity of vegetation to precipitation between karst and non-karst areas in the region. We find that
-
Effects of grid resolution on regional modelled groundwater salinity and salt fluxes to surface water J. Hydrol. (IF 5.9) Pub Date : 2024-09-01 Ignacio Farías, Gualbert H.P. Oude Essink, Perry G.B. de Louw, Marc F.P. Bierkens
Coastal fresh groundwaters face growing threats from rising withdrawals and climate change, with salinization of surface and groundwater as notable impacts. Recent developments in parallel variable-density modelling enable studying these threats at unexplored resolutions and extents. To improve the understanding of ground- and surface water salinization processes, we designed an experiment to measure
-
Adjoint-based sensitivity analysis and assimilation of multi-source data for the inference of spatio-temporal parameters in a 2D urban flood hydraulic model J. Hydrol. (IF 5.9) Pub Date : 2024-08-31 Léo Pujol, Pierre-André Garambois, Carole Delenne, Jean-Louis Perrin
This contribution presents a novel approach for the calibration of distributed parameters in a 2D urban flood hydraulic model. It focuses on the challenging issue of inferring distributed friction parameters from multi-source heterogeneous spatio-temporal observations of their hydraulic signatures in the context of an urban flash flood in a complex street network. A variational data assimilation algorithm
-
Analytical model for two-dimensional contaminant transport in a cut-off wall and aquitard system J. Hydrol. (IF 5.9) Pub Date : 2024-08-31 Haijian Xie, Ao Wang, Yanghui Shi, Huaxiang Yan
The cut-off wall is an effective countermeasure to prevent contaminant transport from a contaminated site. However, the aquitard beneath the cut-off wall may serve as a preferential path, leading to an earlier breakthrough of contaminants in the cut-off wall system. In this study, we present a 2-D analytical model for characterizing the contaminant transport in the cut-off wall and aquitard system
-
Dynamics of the risk of algal blooms induced by surface water temperature in an alpine eutrophic lake under climate warming: Insights from Lake Dianchi J. Hydrol. (IF 5.9) Pub Date : 2024-08-31 Jiabin Peng, Junxu Chen, Shiyin Liu, Tie Liu, Fuying Deng, Yunjiang Fan, Philippe De Maeyer
Climate change-induced higher water temperature is increasing the risk of algal blooms (ABs) in eutrophic water bodies. However, it is not well known how and to what extent warming affects ABs risk. In this work, with simple data input (satellite product, lake surface observation, and climate) and method structure (ensemble learning, statistical downscaling, and hierarchical clustering), a systematic
-
Hydro-morphology and water quality jointly shape the structure and network stability of the plankton community in multi-tributary river basins J. Hydrol. (IF 5.9) Pub Date : 2024-08-31 Chao Chang, En Hu, Xudong Xue, Juan Li, Dou Du, Fang Yang, Ming Li
Revealing the spatial variation in phytoplankton and zooplankton communities, along with their responses to water flow, climate, and water quality from headwaters to downstream, is crucial for grasping their evolutionary dynamics and crafting ecological preservation strategies. Here, the spatial distribution, assembly processes, and stability changes of phytoplankton and zooplankton in the tributaries
-
Optimizing parameter learning and calibration in an integrated hydrological model: Impact of observation length and information J. Hydrol. (IF 5.9) Pub Date : 2024-08-31 Peishi Jiang, Pin Shuai, Alexander Y. Sun, Xingyuan Chen
Integrated hydrological modeling is gaining popularity due to its mechanistic representation of the surface and subsurface processes. However, estimating the parameters of such process-based models can be computationally expensive if careful consideration is not given to the length of streamflow observations used during model calibration. Here we evaluate the influence of the calibration period, the
-
Drought prediction in Jilin Province based on deep learning and spatio-temporal sequence modeling J. Hydrol. (IF 5.9) Pub Date : 2024-08-27 Zhaojun Hou, Beibei Wang, Yichen Zhang, Jiquan Zhang, Jingyuan Song
Jilin Province, a key agricultural hub in Northeast China, has long been impacted by climate change, with drought disasters significantly affecting its agricultural output and ecological environment. Accurate drought prediction is essential for the effective utilization of water resources and agricultural production. This study proposes a novel drought prediction model that utilizes the SSA-VMD (Sparrow
-
Improved water use efficiency of vegetation due to carbon fertilization not translating to increased soil moisture in India J. Hydrol. (IF 5.9) Pub Date : 2024-08-26 Akash Verma, Subimal Ghosh
Soil moisture (SM) plays a critical role in land–atmosphere interaction. Literature shows that the CO fertilization effect (CFE) governs vegetation dynamics and its interactions with the atmosphere. However, the impacts of changing vegetation properties due to CFE, on SM, specifically in India, remains unexplored. Comparing Land-hist (observed CO concentration) and Land-cCO (constant preindustrial
-
Drought Awareness over Continental United States J. Hydrol. (IF 5.9) Pub Date : 2024-08-26 Mashrekur Rahman, Samuel Sandoval Solis, Thomas Harter, Mahmoud Saeedimoghaddam, Niv Efron, Grey S. Nearing
Understanding the relationship between droughts and drought awareness is vital towards decision making and policy for water management and conservation strategies, and socioeconomic outcomes. We used computer vision (UNet models) to analyze nonlinear, heterogeneous, lagged correlations between Standardized Precipitation Evapotranspiration Index (SPEI) and Google Trends Search Interest within the Continental
-
The reconstructed solar-induced chlorophyll fluorescence dataset reveals the almost ubiquitous close relationship between vegetation transpiration and solar-induced chlorophyll fluorescence J. Hydrol. (IF 5.9) Pub Date : 2024-08-25 Renjun Wang, Jianghua Zheng
The precise estimation of vegetation transpiration (T) holds significant implications for enhancing our understanding of global carbon, water, and energy cycles. Nonetheless, vegetation transpiration stands out as one of the most challenging hydrological variables to capture on a global scale. In recent years, the newly introduced solar-induced chlorophyll fluorescence (SIF) has gained widespread application
-
The added value of CoreVESS score and penetration resistance in predicting the soil–water retention curve J. Hydrol. (IF 5.9) Pub Date : 2024-08-25 Lin Lin, Chung Do Thanh, Jan De Pue, Frank Van der Bolt, Wim Cornelis
Soil hydraulic properties, such as the soil–water retention curve (SWRC), play a crucial role in simulating water transport within the vadose zone. They can be directly measured in the laboratory or field, or indirectly predicted by using Pedotransfer Functions (PTFs). It has been advocated that accounting for soil structure could marginally improve the prediction accuracy of PTFs in its wet range
-
Predicting compound agricultural drought and hot events using a Cascade Modeling framework combining Bayesian Model Averaging ensemble with Vine Copula (CaMBMAViC) J. Hydrol. (IF 5.9) Pub Date : 2024-08-24 Haijiang Wu, Xiaoling Su, Vijay P. Singh, Jiping Niu
Compound Agricultural Drought and Hot Events (CADHEs) cause more disastrous impacts on water-food-energy-ecology security in comparison with individual drought or hot extremes. Reliable CADHEs predictions are therefore paramount to mitigate the potential risk associated with drought and hot events and their combinations. However, there is no prediction model with multi-predictand variables for reliably
-
Sensitivity analysis of SWAT streamflow and water quality to the uncertainty in soil properties generated by the SoLIM model J. Hydrol. (IF 5.9) Pub Date : 2024-08-24 Qiuliang Lei, Tianpeng Zhang, Miaoying An, Jiafa Luo, Lihuan Qin, A-Xing Zhu, Weiwen Qiu, Xinzhong Du, Hongbin Liu
Hydrological models are essential tools for understanding natural processes, yet they often encounter with uncertainties due to limited input data and simplified assumptions. Soil data is a crucial input parameter for hydrological models, but it faces cartographic challenges due to lack of standardized soil mapping methods. To explore the applicability of soil datasets derived from the Third Law of
-
Intelligent enhanced particle filter with deep residual network surrogate for accurate groundwater pollution source characterization J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 Yaning Xu, Wenxi Lu, Zidong Pan, Zibo Wang, Chengming Luo, Yukun Bai
Accurate groundwater pollution source characterization (GPSC) is crucial for environmental protection and water resource management. Although the particle filter (PF) algorithm is widely employed for GPSC, it suffers from particle degradation and loss of diversity. To address this challenge, this study proposes an intelligent enhanced particle filter (IEPF) method to enhance GPSC’s accuracy and efficiency
-
Urban pluvial flood susceptibility mapping based on a novel explainable machine learning model with synchronous enhancement of fitting capability and explainability J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 Ze Wang, Heng Lyu, Chi Zhang
Urban pluvial flood susceptibility mapping aims to identify flood-prone areas in cities. Machine learning methods are increasingly used, but typically face a trade-off between accurate identification of flood-susceptible areas and development of effective local mitigation strategies. To synchronously enhance fitting capability and explainability, this study introduced a novel machine learning model
-
Developing a flood risk assessment model with genetic algorithm-based weights J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 Won-joon Wang, Donghyun Kim, Yujin Kang, Masahiko Haraguchi, Hung Soo Kim, Soojun Kim
To reduce flood risk efficiently within constrained disaster prevention budgets, governments employ economic analyses and qualitative flood risk assessments. However, conventional methods, such as entropy weight and the Analytic Hierarchy Process method, have limitations in terms of the accuracy of the flood risk index. Here, we overcome these limitations by applying a genetic algorithm (GA) – an optimization
-
Paradox of lake nitrogen concentration change response to watershed management: Case study of China J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 Wangzheng Shen, Liang Zhang, Sisi Li, Yanhua Zhuang, Wenchao Li, Yun Du, Boqiang Qin
Human activities have caused rapid increases in lake nutrient loads over the past few decades, resulting in severe eutrophication. To mitigate eutrophication in lakes, watershed management is conducted worldwide. After decades of watershed environmental management practices, some lakes have significantly improved in water quality, whereas others continue to deteriorate. Differentiations in watershed
-
An integrated adaptive allocation model for unified optimization of conventional and unconventional water resources based on fairness and efficiency J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 Ruifang Wang, Fengping Wu, Yingwen Ji, Qianwen Yu, Chen Feng
Unconventional water (UW) use has pros and cons, presenting the challenge of matching water utilization with regional water use characteristics. This study proposed the concept of amount-centered adaptive water allocation and built an integrated adaptive allocation model that includes conventional water (CW) and UW adaptability. The model consists of two modules. The first module introduces the regional
-
Can rock surface flow derived from outcrops generate surface runoff in a rocky desertified area? J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 Longpei Cen, Xudong Peng, Quanhou Dai, Shengbing Xu, Tingting Liu
Rock surface flow, formed from exposed rock surfaces, is a unique form of runoff in rocky desertified areas with massive bedrock outcrops. The question of whether the rock surface flow promotes surface runoff formation continues to puzzle us. To address this problem, four sites with notable bedrock outcrops and different land use types were selected from a typical desertified area in Guizhou, China
-
Real-time integrated water availability – Salt intrusion modelling and management during droughts J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 Daan Bertels, Laurens Breugelmans, Patrick Willems
Climate change and population increase are major challenges when guaranteeing a sustainable water supply in densely populated river basins worldwide, where different water users such as industry, drinking water production and agriculture typically come into conflict. During dry periods, real time monitoring and short term forecasting of the water availability are crucial to prepare and take appropriate
-
Unraveling microbial community variation along a salinity gradient and indicative significance to groundwater salinization in the coastal aquifer J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 Chuanshun Zhi, Xiaonong Hu, Fan Yang, Xianrui Huang, Hongfan Chen, Lin Chen, Geng Chen, Zhen Wu, Shuqiang Wang
Saltwater intrusion poses a global environmental challenge in coastal regions, profoundly influencing groundwater microbial communities and biogeochemical processes. This study aims to elucidate the origin of groundwater salinity and understand the response of microbial interactions to groundwater salination through stable isotopes and 16S rDNA gene sequencing. The findings reveal a significant increase
-
Revisiting evapotranspiration inputs in eco-hydrological modeling for climate change assessment J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 Yan Zhou, Lucy Marshall, Dayang Li, Ashish Sharma
Evapotranspiration (ET) is an essential variable linking hydrological and ecological processes and is typically modeled as a function of potential evapotranspiration and soil moisture in traditional hydrological models. However, commonly used empirical ET models typically do not recognize the underlying vegetation dynamics. This can have implications when models are extrapolated under future climate
-
The streamgauging ruler: A low-cost, low-tech, alternative discharge measurement technique J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 J. Le Coz, M. Lagouy, F. Pernot, A. Buffet, C. Berni
The streamgauging ruler, a.k.a. transparent velocity-head rod, is an inexpensive, easy, and quick tool for conducting wading discharge measurements in open-channel flows. It provides reliable velocity and discharge measurements when the right measuring conditions, especially minimum flow velocity, are met. The principle is simple: depth-averaged velocity can be computed from the water level difference
-
Stronger influences of grassland growth than grassland area on hydrological processes in the source region of the Yellow River J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 Hao Zhan, Dongxue Yu, Le Wang, Jiang Zhang, Min Xu, Xiuqin Fang, Kai Xue, Yiqi Yan, Liliang Ren, Yanfen Wang, Qiuan Zhu
Concerns about regional hydrological responses to land use cover changes have arisen worldwide. However, the separation and quantification of the effects of changes in vegetation area and growth status on hydrological processes remains unclear. Here, we applied a distributed hydrology soil vegetation model (DHSVM) to analyze how the grassland growth state and surface area influence hydrological processes
-
Changes in compound temperature and precipitation extremes from combined effects of multiple circulation factors over China J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 Jingpeng Zhang, Tianbao Zhao, Juanjuan Zhang, Yuling Ren, Zhi Li
Compound climate extremes, such as the occurrence of extreme temperature and precipitation events, exert a significant impact on the society and ecosystems. However, the analyses of compound climate extremes are rather lacking relative to climate extremes defined for a single climatic factor. This study investigates the spatiotemporal variations of the frequency in compound extremes including wet/warm
-
Rainfall event separation and determination of the water quality volume J. Hydrol. (IF 5.9) Pub Date : 2024-08-23 David A. Chin
A procedure is presented and demonstrated for identifying the minimum interevent time for automatic separation of rainfall events and the subsequent use of the event statistics to determine the water quality volume. The proposed procedure for identifying the minimum interevent time is more robust that the conventional approach that requires interevent times to have an exponential distribution. The