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Nam Won Kim and Mun-Ju Shin
Hourly flood flow estimation for gauged and ungauged catchments is a prerequisite for planning and water management. Various methods have been applied in a multitude of studies to calculate the peak flow for ungauged catchments. However, it is not simple...
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Mun-Ju Shin and Yun Seok Choi
This study aimed to assess the suitability of the parameters of a physically based, distributed, grid-based rainfall-runoff model. We analyzed parameter sensitivity with a dataset of eight rainfall events that occurred in two catchments of South Korea, u...
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Xiaocong Liu, Zhonggen Wang, Yin Tang, Zehua Wu, Yuhan Guo and Yashan Cheng
Predictions in ungauged basins (PUB) has been always a focus of hydrological research. The problem presented by ungauged basins is how to reasonably estimate water resource availability. To solve the issues of data scale, this study combines field experi...
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Yun Seok Choi, Mun-Ju Shin and Kyung Tak Kim
The choice of the computational time step (dt) value and the method for setting dt can have a bearing on the accuracy and performance of a simulation, and this effect has not been comprehensively researched across different simulation conditions. In this...
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Yun Seok Choi, Mun-Ju Shin and Kyung Tak Kim
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Weijian Guo, Chuanhai Wang, Xianmin Zeng, Tengfei Ma and Hai Yang
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Weijian Guo, Chuanhai Wang, Xianmin Zeng, Tengfei Ma and Hai Yang
Spatial variability plays an important role in nonlinear hydrologic processes. Due to the limitation of computational efficiency and data resolution, subgrid variability is usually assumed to be uniform for most grid-based rainfall-runoff models, which l...
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Isabel Flores-Montoya, Álvaro Sordo-Ward, Luis Mediero and Luis Garrote
An adequate estimation of the extreme behavior of basin response is essential both for designing river structures and for evaluating their risk. The aim of this paper is to develop a new methodology to generate extreme hydrograph series of thousands of y...
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Isabel Flores-Montoya, Álvaro Sordo-Ward, Luis Mediero, Luis Garrote
Pág. 1 - 20
An adequate estimation of the extreme behavior of basin response is essential both for designing river structures and for evaluating their risk. The aim of this paper is to develop a new methodology to generate extreme hydrograph series of thousands of y...
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Abdelmounim Bouadila, Ismail Bouizrou, Mourad Aqnouy, Khalid En-nagre, Yassine El Yousfi, Azzeddine Khafouri, Ismail Hilal, Kamal Abdelrahman, Lahcen Benaabidate, Tamer Abu-Alam, Jamal Eddine Stitou El Messari and Mohamed Abioui
In semi-arid regions such as the southwestern zone of Morocco, better management of water resources is crucial due to the frequent flooding phenomena. In this context, the use of hydrological models is becoming increasingly important, specifically in the...
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Dehua Zhu, Samiran Das, Qiwei Ren
Pág. 1 - 18
Assessing the impact of climate change on streamflow is critical to understanding the changes to water resources and to improve water resource management. The use of hydrological models is a common practice to quantify and assess water resources in such ...
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Dehua Zhu, Samiran Das and Qiwei Ren
Assessing the impact of climate change on streamflow is critical to understanding the changes to water resources and to improve water resource management. The use of hydrological models is a common practice to quantify and assess water resources in such ...
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Hui Wan, Jun Xia, Liping Zhang, Dunxian She, Yang Xiao and Lei Zou
Sensitivity analysis is a fundamental approach to identify the most significant and sensitive parameters, helping us to understand complex hydrological models, particularly for time-consuming distributed flood forecasting models based on complicated theo...
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Erich J. Plate and Khurram M. Shahzad
This paper demonstrates, by means of a systematic uncertainty analysis, that the use of outputs from more than one model can significantly improve conditional forecasts of discharges or water stages, provided the models are structurally different. Discha...
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Bahram Saeidifarzad, Vahid Nourani, Mohammad Taghi Aalami and Kwok-Wing Chau
Multi-site optimization of two adapted event-based geomorphologic rainfall-runoff models was presented using Non-dominated Sorting Genetic Algorithm (NSGA-II) method for the South Fork Eel River watershed, California. The first model was developed based ...
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Firas Al Janabi, Nurlan Ongdas, Christian Bernhofer, Julian David Reyes Silva, Jakob Benisch and Peter Krebs
Numerical simulations of rainfall-runoff processes are useful tools for understanding hydrological processes and performing impact assessment studies. The advancements in computer technology and data availability have assisted their rapid development and...
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Luca Folador, Alessio Cislaghi, Giorgio Vacchiano and Daniele Masseroni
Forest fire is a common concern in Mediterranean watersheds. Fire-induced canopy mortality may cause the degradation of chemical?physical properties in the soil and influence hydrological processes within and across watersheds. However, the prediction of...
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Eatemad Keshta, Mohamed A. Gad and Doaa Amin
This study develops a response-based hydrologic model for long-term (continuous) rainfall-runoff simulations over the catchment areas of big rivers. The model overcomes the typical difficulties in estimating infiltration and evapotranspiration parameters...
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Christophe Bouvier, Lamia Bouchenaki and Yves Tramblay
The vulnerability to floods in Africa has increased over the last decades, together with a modification of land cover as urbanized areas are increasing, agricultural practices are changing, and deforestation is increasing. Rainfall-runoff models that pro...
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Christophe Bouvier, Lamia Bouchenaki and Yves Tramblay
The vulnerability to floods in Africa has increased over the last decades, together with a modification of land cover as urbanized areas are increasing, agricultural practices are changing, and deforestation is increasing. Rainfall-runoff models that pro...
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