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Effects of land use/land cover change on hydrological responses of a watershed in the Central Rift Valley of Ethiopia Hydrol. Res. (IF 2.7) Pub Date : 2024-02-01 Kokeb Zena Besha, Tamene Adugna Demissie, Fekadu Fufa Feyessa
View largeDownload slide View largeDownload slide Close modal The purpose of this study is to evaluate the impacts of LULC changes on the hydrological components of a watershed using multivariate statistics, and hydrological modeling approaches. The study analyzed the LULC distributions, and changes corresponding to the years 2000, 2010, and 2020. The SWAT model was then applied to assess the hydrological
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Advancing low-flow quantile estimation: The role of areal scale factor (ASF) and annual flow–duration curves Hydrol. Res. (IF 2.7) Pub Date : 2024-02-01 Omer Levend Asikoglu, Tugce Narin
View largeDownload slide View largeDownload slide Close modal Estimating the streamflow corresponding to a particular probability is of great importance in many hydrological studies, such as determining hydroelectric water potential, assessing water quality, and investigating sedimentation and drought. This paper aims to effectively estimate low-flow quantiles since hydrologic droughts motivate the
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Modelling non-stationary flood frequency in England and Wales using physical covariates Hydrol. Res. (IF 2.7) Pub Date : 2024-02-01 Duncan S. Faulkner, Sean Longfield, Sarah Warren, Jonathan A. Tawn
View largeDownload slide View largeDownload slide Close modal Non-stationary methods of flood frequency analysis are widespread in research but rarely implemented by practitioners. One reason may be that research papers on non-stationary statistical models tend to focus on model fitting rather than extracting the sort of results needed by designers and decision makers. It can be difficult to extract
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Hydrological effects of open ditch damming and controlled subsurface drainage in a Nordic agricultural field Hydrol. Res. (IF 2.7) Pub Date : 2024-02-01 Kielo Isomäki, Aleksi Salla, Heidi Salo, Harri Koivusalo
Controlled drainage (CRD) is an agricultural water management practice designed to adjust the capacity of a drainage system under varying hydrological conditions. This simulation study aimed to quantify the potential of combining a controlled subsurface drainage (CS) with open ditch damming (CD) to manage the water table depth (WTD) and field water balance in Nordic conditions. Simulations with and
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Boosting hydropower generation of mixed reservoirs for reducing carbon emissions by using a simulation–optimization framework Hydrol. Res. (IF 2.7) Pub Date : 2024-02-01 Yanfeng He, Shenglian Guo, Yanlai Zhou, Di Zhu, Hua Chen, Lihua Xiong, Jie Liu, Chong-Yu Xu
View largeDownload slide View largeDownload slide Close modal The optimization operation of reservoir seasonal Flood-Limited Water Levels (FLWLs) can counterbalance the hydropower generation and flood prevention in the flood season. This study proposes a multi-objective optimization operation model to optimize the reservoir seasonal FLWLs for enhancing synergies of hydropower generation and flood prevention
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Analysis of scaling relationships for flood parameters and peak discharge estimation in a tropical region Hydrol. Res. (IF 2.7) Pub Date : 2024-02-01 Charles Mazivanhanga, Robert C. Grabowski, Eunice Pérez-Sánchez, Victor R. Carballo-Cruz
Relationships between peak discharges and catchment size (e.g., flood scaling) in a catchment have the potential to support new river flood forecasting approaches but have not been tested in tropical regions. This study determined flood scaling relationships between peak discharge and nested drainage areas in the La Sierra catchment (Mexico). A statistical power law equation was applied to selected
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A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China Hydrol. Res. (IF 2.7) Pub Date : 2024-02-01 Jinjie Fang, Linshan Yang, Xiaohu Wen, Weide Li, Haijiao Yu, Ting Zhou
View largeDownload slide View largeDownload slide Close modal Accurate streamflow prediction is crucial for effective water resource management. However, reliable prediction remains a considerable challenge because of the highly complex, non-stationary, and non-linear processes that contribute to streamflow at various spatial and temporal scales. In this study, we utilized a convolutional neural network
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Effect of mountainous rainfall on uncertainty in flood model parameter estimation Hydrol. Res. (IF 2.7) Pub Date : 2024-02-01 Jeonghoon Lee, Jeonghyeon Choi, Suhyung Jang, Sangdan Kim
View largeDownload slide View largeDownload slide Close modal Explaining the significant variability of rainfall in orographically complex mountainous regions remains a challenging task even for modern raingauge networks. To address this issue, a real-time spatial rainfall field estimation model, called WREPN (WRF Rainfall-Elevation Parameterized Nowcasting), has been developed, incorporating the influence
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Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach Hydrol. Res. (IF 2.7) Pub Date : 2024-02-01 Renata Sadrtdinova, Gerald Augusto Corzo Perez, Dimitri P. Solomatine
View largeDownload slide View largeDownload slide Close modal Kazakhstan is recently experiencing an increase in drought trends. However, low-capacity probabilistic drought forecasts and poor dissemination have led to a drought crisis in 2021 that resulted in the loss of thousands of livestock. To improve drought forecasting accuracy, this study applies Machine Learning and Deep Learning (ML and DL)
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Corrigendum: Hydrology Research 52 (6), 1357–1371: Sampling uncertainty of UK design flood estimation, Anthony Hammond, https://dx.doi.org/10.2166/nh.2021.059 Hydrol. Res. (IF 2.7) Pub Date : 2024-02-01
Abstract not available
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Inter-comparison of global precipitation data products at the river basin scale Hydrol. Res. (IF 2.7) Pub Date : 2024-01-01 Xiaolong Hu, Zheng Zhou, Haibin Xiong, Quan Gao, Xiayu Cao, Xuhai Yang
View largeDownload slide View largeDownload slide Close modal While many studies have compared global precipitation datasets at national, continental, and global scales, few have evaluated these data at river basin scales. This study explored differences in precipitation estimates and trends of 12 widely applied precipitation datasets, including gauge-, satellite-, and reanalysis-based products, for
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Unexpected contribution of cloud seeding to NPP increase during drought Hydrol. Res. (IF 2.7) Pub Date : 2024-01-01 Munseok Lee, Chulsang Yoo, Ki-Ho Chang
Cloud seeding is generally used to secure additional water resources, which is not an easy goal to achieve, as the spatial variability of rainfall is high. Instead, the increased rain may moisten the neighboring forest. This study focuses on this situation and estimates the possible increase in the net primary production (NPP) due to cloud seeding. This study considers the Boryeong Dam basin in Korea
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Assessment of ecological flow alterations induced by hydraulic engineering projects in the Han River, China Hydrol. Res. (IF 2.7) Pub Date : 2024-01-01 Lele Deng, Shenglian Guo, Jing Tian, Heyu Wang
View largeDownload slide View largeDownload slide Close modal A thorough understanding of the ecological impacts behind the hydrologic alteration is still insufficient and hinders the watershed management. Here, we used eco-flow indicators, multiple hydrological indicators, and fluvial biodiversity to investigate the ecological flow in different temporal scales. The case study in the Han River shows
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A review on sources of uncertainties for groundwater recharge estimates: insight into data scarce tropical, arid, and semiarid regions Hydrol. Res. (IF 2.7) Pub Date : 2024-01-01 Tsegamlak Diriba Beyene, Fasikaw Atanaw Zimale, Sirak Tekleab Gebrekristos
Successful sustainable groundwater management requires accurate information on recharge for a given aquifer system. However, recharge estimates are usually used in relative terms rather than an absolute sense. A review of available studies on groundwater recharge estimate uncertainty as well as tools for uncertainty analysis was conducted. Nonetheless, except for the handful of studies that have conducted
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The Next-Generation Ecosystem Experiment Arctic Rainfall Simulator: a tool to understand the effects of changing rainfall patterns in the Arctic Hydrol. Res. (IF 2.7) Pub Date : 2024-01-01 Caleb Renner, Nathan Conroy, Evan Thaler, Adam Collins, Lauren Thomas, Shannon Dillard, Joel Rowland, Katrina Bennett
View largeDownload slide View largeDownload slide Close modal Rainfall frequency and intensity are expected to increase in the Arctic, with potential detrimental impacts on permafrost, leading to enhanced thawing and carbon release to the atmosphere. However, there have been very few studies on the effect of discrete rain events on permafrost in the Arctic and sub-Arctic. Conducting controlled rainfall
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Modeling probabilistic-based 1D riverbed elevation estimation model due to uncertainties in runoff and sediment-related factors Hydrol. Res. (IF 2.7) Pub Date : 2023-12-01 Shiang-Jen Wu, Chia-Yuan Tsai, Keh-Chia Yeh
This study aims to develop a probabilistic model to quantify the reliability of estimating riverbed elevations due to the uncertainties in the runoff and sediment-related factors (named PM_MBEE_1D); the above uncertainties are quantified by reproducing a considerable number of runoff-related and sediment-related factors via the multivariate Monte Carlo simulation approach. Using a sizeable number of
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Spatiotemporal variability of vegetation response to meteorological drought on the Korean Peninsula Hydrol. Res. (IF 2.7) Pub Date : 2023-12-01 Haeun Jung, Jeongeun Won, Shinuk Kang, Sangdan Kim
View largeDownload slide View largeDownload slide Close modal To assess vegetation drought, it is important to understand the relationship between climate and vegetation and to accurately measure the response of vegetation activity to meteorological drought. In this study, we used the vegetation health index (VHI) to investigate the propagation time and time-lag of vegetation response to different
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2021 UK floods: improvements and recommendations from the flood forecasting centre Hydrol. Res. (IF 2.7) Pub Date : 2023-12-01 Charles Pilling, Jon Millard, Julia Perez, Katie Egan, Russell Turner, Anthony Duke
In recognition of the increased risk to national resilience from flooding, we provide an overview of recent and future improvements to flood risk forecasting and communication at the Flood Forecasting Centre (FFC). We draw on the analysis of fluvial and surface water flooding across England and Wales in 2021 to highlight these areas of improvement. Already implemented improvements in both the underpinning
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2021 UK floods: event summaries and reflections from the Flood Forecasting Centre Hydrol. Res. (IF 2.7) Pub Date : 2023-12-01 Charles Pilling, Jon Millard, Julia Perez, Russell Turner, Anthony Duke, Katie Egan
Flooding in 2021 has highlighted the increased risk to national resilience. This is against a backdrop of the UK climate projected to become more extreme over the next few decades. This paper considers the notable river and surface water flood events within England and Wales during 2021 and examines the performance of the Flood Forecasting Centre in highlighting the flood risk to our customers. We
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Runoff time series prediction based on hybrid models of two-stage signal decomposition methods and LSTM for the Pearl River in China Hydrol. Res. (IF 2.7) Pub Date : 2023-12-01 Zhao Guo, Qian-Qian Zhang, Nan Li, Yun-Qiu Zhai, Wen-Tao Teng, Shuang-Shuang Liu, Guang-Guo Ying
View largeDownload slide View largeDownload slide Close modal Hydrological runoff prediction is vital for water resource management. The non-linear and non-stationary runoff series and the complex hydrological features for large-scale basins make it difficult to predict. Long short-term memory (LSTM) is effective for runoff prediction but unstable for large-scale basins. This study develops three hybrid
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Selecting criteria for urban basin delineation based on UAV photogrammetry: a case study in Culiacan, Mexico Hydrol. Res. (IF 2.7) Pub Date : 2023-12-01 Sergio Arturo Renteria-Guevara, Jesus Gabriel Rangel Peraza, Abel Rivera-Buelna, Sergio Alberto Monjardin-Armenta, Antonio Jesus Sanhouse-Garcia, Fernando Garcia-Paez
View largeDownload slide View largeDownload slide Close modal Urban storm drainage is essential for the large part of the population living in cities with torrential rains to protect public urban infrastructure, private property, and human lives from flooding. The most important design parameter for urban storm drainage is the flow discharge, which is normally calculated with the area, runoff coefficient
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Performance evaluation of surrogate models for simulating multiphase NAPL transport in heterogeneous aquifers Hydrol. Res. (IF 2.7) Pub Date : 2023-12-01 Litang Hu, Menglin Zhang, Lei Tian, Shiqi Huang
View largeDownload slide View largeDownload slide Close modal A better understanding of the distribution of nonaqueous phase liquid (NAPL) plumes is of great importance to groundwater pollution remediation and control. However, the efficiency of surrogate models in simulating the transport is still not well addressed. Selecting a leakage problem as an example, 50 sets of random permeability distributions
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Runoff variation and progressive aridity during drought in catchments in southern-central Chile Hydrol. Res. (IF 2.7) Pub Date : 2023-12-01 Guillermo Barrientos, Rafael Rubilar, Efrain Duarte, Alberto Paredes
View largeDownload slide View largeDownload slide Close modal Persistent drought events frequently intensify the aridity of ecosystems and cause catchment runoff depletion. Here, using large and long-term data sets of meteorological and hydrologic variables (precipitation, runoff, temperature, and potential evapotranspiration) investigated the major causes that modulated catchment runoff depletion
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Comparative evaluation of daily streamflow prediction by ANN and SWAT models in two karst watersheds in central south Texas Hydrol. Res. (IF 2.7) Pub Date : 2023-12-01 Xiaohan Mei, Patricia K. Smith, Jing Li
View largeDownload slide View largeDownload slide Close modal This work compares the accuracy of streamflow estimated by a data-driven artificial neural network (ANN) and the physically based soil and water assessment tool (SWAT). The models were applied in two small watersheds, one highly urbanized and the other primarily covered with evergreen forest and shrubs, in the San Antonio region of central
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Advances in monitoring and modelling of river ice processes Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Prabin Rokaya, Yuntong She, Brandi Newton, Karl-Erich Lindenschmidt
Abstract not available
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Effects of anticipatory humanitarian cash assistance to households forecasted to experience extreme flooding: evidence from Bangladesh Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Clemens Gros, Andrea Pronti, Khairul Sheikh, Ahmadul Hassan, Mohammad Shahjahan
View largeDownload slide View largeDownload slide Close modal The 2020 monsoon floods in Bangladesh were among the most severe and protracted in decades. Instead of waiting for disaster to strike, the Bangladesh Red Crescent Society used impact-based forecast data to reach nearly 3,800 vulnerable households along the Jamuna River with a one-off unconditional cash transfer of BDT 4,500 (about $53) before
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Analytical and numerical solutions of radially symmetric aquifer thermal energy storage problems Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Zerihun Kinfe Birhanu, Nils-Otto Kitterød, Harald E. Krogstad, Anne Kværnø
View largeDownload slide View largeDownload slide Close modal Aquifer thermal energy storage (ATES) systems offer reduced energy costs, lower carbon emissions, and increased energy resilience. The feasibility, however, depends on several factors and usually require optimization. We study an ATES system with injection and extraction wells (cf. graphical abstract). The purpose of the investigation was
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Estimation of change in terrestrial water storage for Abbay River Basin, Ethiopia Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Agegnehu Kitanbo Yoshe
Access to freshwater resources has become more limited. Correspondingly, water monitoring methods in sensitive or critical areas interims of terrestrial water storage are becoming increasingly important. The monitoring of the water storage in this area, using appropriate methods and datasets, is highly effective in preventing possible future water crises. This paper aims to estimate terrestrial water
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Mechanisms of hydrological evolution in human-influenced basins Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Liliang Ren, Shanshui Yuan, Momcilo Markus, Natalie Teale
Abstract not available
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Aerial photogrammetry to characterise and numerically model an ice jam in Southern Quebec Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Jason Duguay, Karl-Erich Lindenschmidt, Mélanie Trudel, Antoine Pruneau
Collecting data on the dynamic breakup of a river's ice cover is a notoriously difficult task. However, such data are necessary to reconstruct the events leading to the formation of ice jams and calibrate numerical ice jam models. Photogrammetry using images from remotely piloted aircraft (RPA) is a cost-effective and rapid technique to produce large-scale orthomosaics and digital elevation maps (DEMs)
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Alternative method for determining available winter water volumes from lakes to support small-scale projects Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Rick Walbourne, Sarah Elsasser, Neil Hutchinson
View largeDownload slide View largeDownload slide Close modal In Canada's Northwest Territories (NT), industrial activities conducted during the winter, such as ice road construction and exploratory drilling, require the use of water from ice-covered water bodies. Withdrawal in excess of 10% of available under-ice volume can threaten fish habitat or other users. The Land and Water Boards (LWBs) of
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A quality-control framework for sub-daily flow and level data for hydrological modelling in Great Britain Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Felipe Fileni, Hayley J. Fowler, Elizabeth Lewis, Fiona McLay, Longzhi Yang
The absence of an accessible and quality-assured national flow dataset is a limiting factor in sub-daily hydrological modelling in Great Britain. The recent development of measuring authority APIs and projects such as the Floods and Droughts Research Infrastructure (FDRI) programme aim to facilitate access to such data. Basic quality-control (QC) of 15-minute data is performed by the data collection
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A practical approach for numerical modeling of a complex and data-limited hydrological system Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Bahaa-eldin E. A. Rahim, Ismail Yusoff
View largeDownload slide View largeDownload slide Close modal By their nature, wetlands represent an ecosystem base for many concurrent heterogeneous interactions, where the mission of numerical modeling requires a wide range of consistent and reliable datasets from various sources, spatially and temporally. Such a mission usually collides with the existence of tremendous missing in time-series dataset(s)
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Developing synthetic sewer pipe system for data-scarce domains in application for urban flood modeling Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Lea Dasallas, Hyunuk An, Seungsoo Lee
View largeDownload slide View largeDownload slide Close modal In urban flood modeling, the accuracy of surface and subsurface flow calculations greatly depends on the parameterization of the drainage system. Incorporating the influence of the sewer pipe system is, therefore, integral to accurately simulating urban inundation during short-duration rainfall events. However, obtaining comprehensive data
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The relationship between the large-scale relative vorticity fields and precipitation over Iran Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Azita Amiri, Bohloul Alijani, Ebrahim Fattahi, Maral Habibi
This study examines the relationship between relative vorticity, a key variable in mid-latitude synoptic motions, and precipitation in Iran. Using the S-mode PCA, activity centers of relative vorticity and precipitation were identified. Canonical correlation analysis (CCA) was applied to the factor scores of these centers to reveal coupled patterns of relative vorticity and precipitation. The analysis
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Study of temporal changes in the hydrographic network of small mountain rivers in the Ile Alatau, Kazakhstan Hydrol. Res. (IF 2.7) Pub Date : 2023-11-01 Kassym Duskayev, Ainur Mussina, Javier Rodrigo-Ilarri, Zhanara Zhanabayeva, Marzhan Tursyngali, María-Elena Rodrigo-Clavero
The article presents the outcomes of an assessment of hydrographic network changes within the Almaty city, utilizing geographic information system (GIS) technology and Earth remote sensing data. Two gauge stations were selected along the main rivers within the Almaty city. To identify distinctive alterations in these rivers, hydrological data series encompassing the maximum runoff from 1970 to 2021
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A multi-system comparison of forecast flooding extent using a scale-selective approach Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Helen Hooker, Sarah L. Dance, David C. Mason, John Bevington, Kay Shelton
Fluvial flood forecasting systems increasingly couple river discharge to a flood map library or a real-time hydrodynamic model to provide forecast flood maps to humanitarian agencies. The forecast flood maps can be linked to potential impacts to inform forecast-based financing schemes. We investigate a new application of scale-selective verification by evaluating three flood forecasting systems. Two
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Adaptive calculation of river ecological flow considering the variable lifting volume under changing conditions Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Dandan Liu, Jiancang Xie, Ganggang Zuo, Jichao Liang
View largeDownload slide View largeDownload slide Close modal Ecological flow is a restrictive condition set for human water consumption in water resources management to protect river ecosystems. However, uncertainties in hydrological conditions, changes in regulatory capacity, and temporal-spatial differences bring difficulties to the implementation and supervision of ecological flows. By analyzing
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Estimation of possible extreme droughts for a dam catchment in Korea using a regional-scale weather model and long short-term memory network Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Mun-Ju Shin, Yong Jung
To prepare measures to respond to climate-induced extreme droughts, consideration of various weather conditions is necessary. This study tried to generate extreme drought weather data using the Weather Research and Forecasting (WRF) model and apply it to the Long Short-Term Memory (LSTM), a deep learning artificial intelligence model, to produce the runoff instead of using conventional rainfall–runoff
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Emergency intervention modes for ice jam events in large-scale water diversion projects Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Zepeng Xu, Mengkai Liu, Guanghua Guan, Xinlei Guo
The formation of ice jams is sudden, and they will cause abnormal water level fluctuations in water diversion projects, affecting the water supply and even causing severe flood disasters. Based on the characteristics of the Middle Route of the South-to-North Water Diversion Project, this paper uses the numerical simulation method to establish an emergency intervention effect simulation model for ice
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Evaluating the impact of ponds on flood and drought mitigation in the Bagmati River Basin, Nepal Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Kabita Gautam, Gerald Corzo
View largeDownload slide View largeDownload slide Close modal This study investigates the effectiveness of ponds as a nature-based solution (NBS) to concurrently ameliorate flood and drought impacts, emphasizing the need for an integrated response to multi-extreme hydrological events. We incorporate ponds into agricultural landscapes in the Bagmati River Basin of Nepal and assess their performance
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Unveiling flood-generating mechanisms using circular statistics-based machine learning approach without the need for discharge data during inference Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Zhi Zhang, Dagang Wang, Xinxin Wu, Yiwen Mei, Jianxiu Qiu, Jinxin Zhu
Understanding the drivers of flooding is essential for flood disaster prevention. However, conventional flood prediction methods are hindered by their reliance on local discharge data, which can be constrained by limited spatial resolution. To address this limitation, we present a machine learning model that can categorize floods without requiring discharge data during inference. We first use circular
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Evaluating 2021 extreme flash flood of Teesta River Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Shampa Shampa, Israt Jahan Nejhum, Md. Manjurul Hussain, Mohammad Muddassir Islam, Rubaid Hassan Zoha
View largeDownload slide View largeDownload slide Close modal Due to global warming, extreme hydroclimatic events (e.g., floods) are expected to happen more frequently and last longer. This study investigated such an extreme flood in the transboundary Teesta River that occurred in October 2021. We attempted to quantify the event's impact using data from time series flood levels, precipitation-related
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A numerical model to simulate the vertical velocity distribution in an open channel with double-layered rigid vegetation Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Weidong Xuan, Yu Bai
View largeDownload slide View largeDownload slide Close modal Vegetation flow is more and more widely studied by scholars at home and abroad because it is an important condition affecting river water quality. However, most of the studies were carried out based on the data of indoor experimental flumes, because the vegetation conditions in nature are more complex. The analytical solution of the flow
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Battling the extreme: lessons learned from weather-induced disasters on electricity distribution networks and climate change adaptation strategies Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Aikaterini V. Gkika, Efstratios A. Zacharis, Dimitrios N. Skikos, Efthymios L. Lekkas
View largeDownload slide View largeDownload slide Close modal Electricity infrastructures are critical lifeline systems that are designed to serve with a high degree of reliability the power supply of consumers under normal operating conditions and in case of common failures or expected disturbances. However, many recent weather-induced disasters have brought unprecedented challenges to the electricity
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Identification and mapping of surface irrigation potential in the data-scarce Jewuha watershed, Middle Awash River Basin, Ethiopia Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Manamno Beza Dinku, Habtamu Hailu Kebede
View largeDownload slide View largeDownload slide Close modal This study was conducted to identify and map the surface irrigation potential in the data-scarce Jewuha watershed of the Awash Basin, Ethiopia. The suitability of the land, based on the soil characteristics and slope, was first assessed by the parametric evaluation technique. The overall suitability of the land was then evaluated considering
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Application of advanced machine learning algorithms and geospatial techniques for groundwater potential zone mapping in Gambela Plain, Ethiopia Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Tesema Kebede Seifu, Kidist Demessie Eshetu, Tekalegn Ayele Woldesenbet, Taye Alemayehu, Tenalem Ayenew
View largeDownload slide View largeDownload slide Close modal Groundwater availability is one of the key anxieties in most semi-arid regions of Ethiopia. The purpose of this study was to investigate the groundwater potential zone map of the alluvial plain of Gambela. The study applied analytic hierarchy process (AHP) models with four different machine learning algorithms: random forest classifier (RFC)
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Hydrodynamics and sediment transport in Poyang Lake under the effects of wind and backflow Hydrol. Res. (IF 2.7) Pub Date : 2023-10-01 Hongwu Tang, Yang Yu, Saiyu Yuan, Zhipeng Li, Hao Cao, Chenyu Jiang, Carlo Gualtieri
View largeDownload slide View largeDownload slide Close modal The ecology of the aquatic environment in Poyang Lake, the largest fresh lake in China, is notably impacted by the backflow from the Yangtze River, which conveys a high flux of sediments. This study employs a widely recognized numerical model to replicate the backflow in 2007 (the strongest backflow after the operation initiation of the
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Sensitivity and identifiability analysis of a conceptual-lumped model in the headwaters of the Benue River Basin, Cameroon: implications for uncertainty quantification and parameter optimization Hydrol. Res. (IF 2.7) Pub Date : 2023-09-01 Rodric Mérimé Nonki, Ernest Amoussou, André Lenouo, Raphael Muamba Tshimanga, Constant Houndenou
View largeDownload slide View largeDownload slide Close modal Many hydrological applications employ conceptual-lumped models to support water resource management techniques. This study aims to evaluate the workability of applying a daily time-step conceptual-lumped model, HYdrological MODel (HYMOD), to the Headwaters Benue River Basin (HBRB) for future water resource management. This study combines
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A comprehensive method to estimate flood levels of rivers subject to ice jams: A case study of the Chaudière River, Québec, Canada Hydrol. Res. (IF 2.7) Pub Date : 2023-09-01 Jean-Robert Ladouceur, Brian Morse, Karl-Erich Lindenschmidt
The main difference between an open-water (regular) flood and an ice jam flood is that it is normally the whole river length that is overtopped whereas an ice jam flood is localized to where the jam is located. Comparatively, the regular flood analysis can use the value of the extreme discharge as the main input parameter for a long river section, an ice jam flood needs to account for the probability
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Multi-criteria analysis using satellite images and GIS for mapping groundwater recharge zones in Saudi Arabia: A case study of the Riyadh Region Hydrol. Res. (IF 2.7) Pub Date : 2023-09-01 Mashael M. Al Saud
View largeDownload slide View largeDownload slide Close modal Water scarcity is well pronounced in arid and semiarid regions where potential evapotranspiration exceeds precipitation. Saudi Arabia is one of the most water-scarce regions where there are 2 billion m3 of annual renewable freshwater resources, besides 24 billion m3 of freshwater withdrawal, especially from the aquifers with fossil water
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Effect of water temperature on internal nitrogen release from sediments in the Pearl River Delta region, China Hydrol. Res. (IF 2.7) Pub Date : 2023-09-01 Dantong Zhu, Xiangju Cheng, David J. Sample, Qingsong Qiao, Zhaowei Liu
View largeDownload slide View largeDownload slide Close modal Nitrogen (N) has received attention as an indicator of water quality and pollution. However, there is still a lack of systematic research on the influence of temperature. An experiment was conducted with five tanks containing sediments from the Pearl River Delta region of China and distilled water to assess the release of N from sediments
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Prediction of hourly inflow for reservoirs at mountain catchments using residual error data and multiple-ahead correction technique Hydrol. Res. (IF 2.7) Pub Date : 2023-09-01 Wen-Dar Guo, Wei-Bo Chen, Chih-Hsin Chang
View largeDownload slide View largeDownload slide Close modal This study coupled the ensemble learning method with residual error (RE) correction to propose a more accurate hydrologic model for the time-series prediction of the reservoir inflow. To enhance the prediction capability of the model in mountain catchments, three deep learning (DL) models, namely the encoder–decoder gated recurrent units
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NHF 50 years Hydrol. Res. (IF 2.7) Pub Date : 2023-09-01 Kolbjørn Engeland, Maris Klavins, Harri Koivusalo, Jurate Kriauciuniene, Elve Lode, Árni Snorrason, Linus Zhang, Peter Bauer-Gottwein, Jórunn Harðardóttir
Abstract not available
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Catchment and climatic influences on spatio-temporal variations in suspended sediment transport dynamics in rivers Hydrol. Res. (IF 2.7) Pub Date : 2023-08-01 Jae hun Shin, Robert C. Grabowski, Ian Holman
View largeDownload slide View largeDownload slide Close modal Suspended sediment concentration (SSC) is an important attribute for water resources management. However, the interactions between climate and catchment characteristics that control the temporal variability of SSC in rivers are not fully resolved. The study aim is to evaluate how these variables influence spatial and seasonal variations
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Innovations, advances, and future challenges for the hydrological community Hydrol. Res. (IF 2.7) Pub Date : 2023-08-01 Elena Cristiano, Marco Peli, Martina Siena, Giulia Zuecco
Abstract not available
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Spatiotemporal patterns of evapotranspiration in the Xiangjiang River Basin from 2000 to 2020 Hydrol. Res. (IF 2.7) Pub Date : 2023-08-01 Suxun Li, Chang Feng, Liu Yang
View largeDownload slide View largeDownload slide Close modal Evapotranspiration (ET) is a crucial parameter in the process of the hydrological cycle. It is vital for water resource management in the Xiangjiang River Basin (XRB) within Hunan Province of China to explore the spatial and temporal dynamic characteristics of ET. Based on MOD16, this study revealed the characteristics of spatiotemporal
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Comparative study of reference evapotranspiration estimation models based on machine learning algorithm: a case study of Zhengzhou City Hydrol. Res. (IF 2.7) Pub Date : 2023-08-01 Chaojie Niu, Shengqi Jian, Shanshan Liu, Chengshuai Liu, Shan-e-hyder Soomro, Caihong Hu
View largeDownload slide View largeDownload slide Close modal Reference evapotranspiration (ET0) is an important parameter to characterize the hydrological water cycle and energy balance. An extremely heavy rainstorm occurred in Zhengzhou City, Henan Province on 20 July 2021, causing heavy casualties and economic losses. One of the important reasons for this rainstorm was abnormal water circulation
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Spatio-temporal variation of annual precipitation in China and its response to ENSO Hydrol. Res. (IF 2.7) Pub Date : 2023-08-01 Yang Chen, Long Ma, Tingxi Liu, Xing Huang, Guohua Sun
The results showed that the precipitation in the study area was mainly in a downward trend before the mid-1930s, and then turned upward. In the 1950s, the precipitation generally showed a distribution of rising in the west and falling in the east, and this trend continued until the early 21st century. By 2007, except for the central part of the Continental Basin, the overall trend was mainly upward
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Indicators of suspended sediment transport dynamics in rivers Hydrol. Res. (IF 2.7) Pub Date : 2023-08-01 Jae hun Shin, Robert C. Grabowski, Ian Holman
View largeDownload slide View largeDownload slide Close modal Suspended sediment (SS) is a natural component of rivers, but elevated SS concentrations (SSCs) can impact aquatic ecosystems and engineering infrastructures. However, a significant gap remains in predicting SSC dynamics, which are influenced by catchment and climate factors that control sediment erosion, transport and deposition. The research