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Rodrigo Valdés-Pineda, Juan B. Valdés, Sungwook Wi, Aleix Serrat-Capdevila and Tirthankar Roy
The combination of Hydrological Models and high-resolution Satellite Precipitation Products (SPPs) or regional Climatological Models (RCMs), has provided the means to establish baselines for the quantification, propagation, and reduction in hydrological ...
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Sergei Borsch, Yuri Simonov, Andrei Khristoforov, Natalia Semenova, Valeria Koliy, Ekaterina Ryseva, Vladimir Krovotyntsev and Victoria Derugina
This paper presents a method of hydrograph extrapolation, intended for simple and efficient streamflow forecasting with up to 10 days lead time. The forecast of discharges or water levels is expressed by a linear formula depending on their values on the ...
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Jean Bergeron, Robert Leconte, Mélanie Trudel and Sepehr Farhoodi
An important step when using some data assimilation methods, such as the ensemble Kalman filter and its variants, is to calibrate its parameters. Also called hyper-parameters, these include the model and observation errors, which have previously been sho...
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Fi-John Chang and Shenglian Guo
The impacts of climate change on water resources management as well as the increasing severe natural disasters over the last decades have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resources ma...
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Sergei Borsch, Andrei Khristoforov, Vladimir Krovotyntsev, Ekaterina Leontieva, Yuri Simonov and Victoria Zatyagalova
This paper presents the basin approach to the design, development, and operation of a hydrological forecasting and early warning system in a large transboundary river basin of high flood potential, where accurate, reliable, and timely available daily wat...
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Bo Qu, Xingnan Zhang, Florian Pappenberger, Tao Zhang, Yuanhao Fang
Pág. 1 - 13
Statistical post-processing for multi-model grand ensemble (GE) hydrologic predictions is necessary, in order to achieve more accurate and reliable probabilistic forecasts. This paper presents a case study which applies Bayesian model averaging (BMA) to ...
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Antonio Annis and Fernando Nardi
Hydrologic/hydraulic models for flood risk assessment, forecasting and hindcasting have been greatly supported by the rising availability of increasingly accurate and high-resolution Earth Observation (EO) data. EO-based topographic and hydrologic open g...
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Davide Fronzi, Gagan Narang, Alessandro Galdelli, Alessandro Pepi, Adriano Mancini and Alberto Tazioli
Forecasting of water availability has become of increasing interest in recent decades, especially due to growing human pressure and climate change, affecting groundwater resources towards a perceivable depletion. Numerous research papers developed at var...
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Stefan Kollet, Fabian Gasper, Slavko Brdar, Klaus Goergen, Harrie-Jan Hendricks-Franssen, Jessica Keune, Wolfgang Kurtz, Volker Küll, Florian Pappenberger, Stefan Poll, Silke Trömel, Prabhakar Shrestha, Clemens Simmer and Mauro Sulis
Operational weather and flood forecasting has been performed successfully for decades and is of great socioeconomic importance. Up to now, forecast products focus on atmospheric variables, such as precipitation, air temperature and, in hydrology, on rive...
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Wei Wang, Jia Liu, Chuanzhe Li, Yuchen Liu, Fuliang Yu and Entao Yu
With the aim of improving the understanding of water exchanges in medium-scale catchments of northern China, the spatiotemporal characteristics of rainfall and several key water cycle elements e.g., soil moisture, evapotranspiration and generated runoff,...
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You-Da Jhong, Chang-Shian Chen, Hsin-Ping Lin and Shien-Tsung Chen
This study proposed a hybrid neural network model that combines a self-organizing map (SOM) and back-propagation neural networks (BPNNs) to model the rainfall-runoff process in a physically interpretable manner and to accurately forecast typhoon floods. ...
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Hassan A. K. M. Bhuiyan, Heather McNairn, Jarrett Powers and Amine Merzouki
This paper presents an assessment of the applicability of using RADARSAT-2-derived soil moisture data in the Hydrologic Modelling System developed by the Hydrologic Engineering Center (HEC-HMS) for flood forecasting with a case study in the Sturgeon Cree...
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Guimei Jiao, Tianlin Guo and Yongjian Ding
Hydrogeological disasters occur frequently. Proposing an effective prediction method for hydrology data can play a guiding role in disaster prevention; however, due to the complexity and instability of hydrological data, this is difficult. This paper pro...
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Guimei Jiao, Tianlin Guo and Yongjian Ding
Pág. 1 - 15
Hydrogeological disasters occur frequently. Proposing an effective prediction method for hydrology data can play a guiding role in disaster prevention; however, due to the complexity and instability of hydrological data, this is difficult. This paper pro...
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Taereem Kim, Ju-Young Shin, Hanbeen Kim, Sunghun Kim and Jun-Haeng Heo
Climate variability is strongly influencing hydrological processes under complex weather conditions, and it should be considered to forecast reservoir inflow for efficient dam operation strategies. Large-scale climate indices can provide potential inform...
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Dang Thanh Mai and Florimond De Smedt
A combined hydrological and hydraulic model is presented for flood prediction in Vietnam. This model is applied to the Huong river basin as a test case study. Observed flood flows and water surface levels of the 2002?2005 flood seasons are used for model...
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Zahra Zahmatkesh and Erfan Goharian
Estimating maximum possible rainfall is of great value for flood prediction and protection, particularly for regions, such as Canada, where urban and fluvial floods from extreme rainfalls have been known to be a major concern. In this study, a methodolog...
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Jui-Yi Ho and Kwan Tun Lee
The dynamic relationship between watershed characteristics and rainfall-runoff has been widely studied in recent decades. Since watershed rainfall-runoff is a non-stationary process, most deterministic flood forecasting approaches are ineffective without...
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Mohammed Abdul Bari, Gnanathikkam Emmanuel Amirthanathan, Fitsum Markos Woldemeskel and Paul Martinus Feikema
We analysed changes in magnitude and timing of the largest annual observed daily flow (Amax), in each water year, for 596 stations in high-value water resource catchments and flood risk locations across Australia. These stations are either included in th...
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Eleni-Ioanna Koutsovili, Ourania Tzoraki, Nicolaos Theodossiou and George E. Tsekouras
The occurrence of flash floods in urban catchments within the Mediterranean climate zone has witnessed a substantial rise due to climate change, underscoring the urgent need for early-warning systems. This paper examines the implementation of an early fl...
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