Article
Engineering, Civil
Bin Yi, Lu Chen, Yizhuo Liu, Hexiang Guo, Zhiyuan Leng, Xiaoxue Gan, Tao Xie, Ziyi Mei
Summary: This study proposes an improved runoff generation strategy for surface runoff and subsurface runoff. A novel conceptual method is developed for subsurface stormflow in unsaturated areas, by combining the Green-Ampt equation with the parabolic infiltration capacity distribution curve. The proposed strategy considers infiltration excess and saturation excess, and performs well in the case study, significantly affecting the accuracy of simulation results.
JOURNAL OF HYDROLOGY
(2023)
Article
Geosciences, Multidisciplinary
Jan Seibert, Sten Bergstrom
Summary: Hydrological catchment models are important tools for water resource management planning. Although computer capabilities have greatly increased, some relatively simple models are still widely used. The HBV model, first applied in Sweden 50 years ago, is a typical example of a conceptual catchment model. The history of model development, from consideration of different model structures to studies using numerous catchments and cloud computing facilities, is described, and the wide range of model applications is discussed.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Engineering, Civil
Thien Huy Truong Nguyen, Bree Bennett, Michael Leonard
Summary: Stochastic rainfall models are important for evaluating hydrological risks, but there are discrepancies between rainfall metrics and flow metrics. The performance of different models varies depending on the strictness of the flow-based comparison and the region analyzed.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Hristos Tyralis, Georgia Papacharalampous, Sina Khatami
Summary: This paper introduces a method to estimate the uncertainty of hydrological simulations using expectiles. The method is applied to 511 basins and compares different hydrological models. The results show that the GR6J model outperforms the other two models at all expectile levels.
JOURNAL OF HYDROLOGY
(2023)
Article
Water Resources
A. L. Kay, M. J. Brown
Summary: In this study, a hydrological model is driven by observation-based hourly data and high-resolution climate model data to simulate river flows. The results show that the use of observation-based hourly data improves the accuracy of high flows and peak flow bias, but has little effect on low flows. The future changes in peak flows are slightly larger when driven by hourly climate model precipitation compared to equally-disaggregated daily data.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Environmental Sciences
Koen F. Jansen, Adriaan J. Teuling, James R. Craig, Marco Dal Molin, Wouter J. M. Knoben, Juraj Parajka, Marc Vis, Lieke A. Melsen
Summary: This study compared 7 model implementations named HBV to assess the impact of model structure differences on output. The results show that differences in numerical and mathematical formulations of mimicking models lead to distinct output differences in simulated streamflow, which decrease after calibration.
WATER RESOURCES RESEARCH
(2021)
Article
Engineering, Civil
Stephen J. Birkinshaw, Greg O'Donnell, Vassilis Glenis, Chris Kilsby
Summary: The research introduces a new method to calculate sewer fractions in urban river catchments and uses them to improve hydrological models, which can be applied to urban and peri-urban catchments without fine resolution sewer and hydrological data.
JOURNAL OF HYDROLOGY
(2021)
Article
Water Resources
Alison L. Kay, Alison C. Rudd, James Coulson
Summary: National or regional grid-based hydrological models require fine spatial resolutions, but the available meteorological data are often at coarser resolutions, thus necessitating spatial downscaling. This study tests the performance of a simple method of downscaling precipitation based on long-term mean annual rainfall patterns for a 1 km hydrological model in Great Britain. The results show that SAAR-based downscaling significantly improves the model's performance compared to no downscaling.
HYDROLOGICAL PROCESSES
(2023)
Article
Construction & Building Technology
Stefan Alber, Wolfram Ressel, Barbara Schuck
Summary: In this paper, the hydrological 'linear reservoir' model approach is used to analyze and describe the drainage behavior of porous asphalt. The study found that higher rainfall intensities and coarser mix designs result in faster outflow, while different soiling states do not significantly affect the drainage behavior. Additionally, the retention capabilities, specifically the amount of undrained remaining water volume, have an impact on both the drainage behavior and the parameter storage constant K, with higher retained water volumes leading to decreased values of K.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING
(2022)
Article
Geosciences, Multidisciplinary
Wouter J. M. Knoben, Diana Spieler
Summary: This paper introduces a computational exercise to help students understand model structure uncertainty. Through this exercise, students can gain insights on the impact of uncertainties from different sources on modeling results and the usability of acquired model simulations.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Engineering, Civil
Wen Liu, Bernard A. Engel, Qi Feng
Summary: This study developed a simple water balance model for simulating green roof runoff, which accurately captured the hydrological responses of green roofs under various conditions. Sensitivity analysis highlighted key parameters influencing green roof runoff, emphasizing the importance of proper design for optimal performance.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Lei Gu, Jiabo Yin, Sheng Wang, Jie Chen, Hui Qin, Xiao Yan, Shaokun He, Tongtiegang Zhao
Summary: Multi-satellite, gauge-based, and atmospheric reanalysis datasets have improved spatiotemporal resolution in recent decades. However, their use in global hydrological monitoring and modeling is not well-understood. This study evaluates the performance of MSWEP V2 and ERA5 in modeling daily river discharge in 10,596 global catchments. Different models and streamflow conditions are considered, and the results show satisfactory performance in most catchments. The findings highlight the importance of selecting appropriate hydrological models and suggest the potential of using these datasets for global hydrological modeling.
JOURNAL OF HYDROLOGY
(2023)
Article
Green & Sustainable Science & Technology
Yan Zhou, Zhongmin Liang, Binquan Li, Yixin Huang, Kai Wang, Yiming Hu
Summary: This study introduces a new statistical rainfall-runoff model (SRR) that combines exponential difference distribution (EDD) and stochastic differential equation to deal with rainfall spatial variability and flow routing. The results suggest that the SRR model outperforms traditional models in describing rainfall spatial variability and simulation accuracy.
Article
Environmental Sciences
Xiaojing Wei, Shenglian Guo, Lihua Xiong
Summary: A hydrological prediction method based on meteorological classification was established in this study, which showed that the distribution of the GR4J model parameters varied significantly under different meteorological conditions. The method demonstrated higher prediction efficiency in the testing period compared to traditional models, indicating the importance of calibrating the rainfall-runoff model with similar SRI years.
Article
Multidisciplinary Sciences
Sung Eun Kim, Yongwon Seo, Junshik Hwang, Hongkyu Yoon, Jonghyun Lee
Summary: Stochastic network modeling is often limited by high computational costs, but this study shows that DCGANs can effectively reproduce drainage networks using a novel connectivity-informed method. By converting drainage network images to directional information and training the network with different samples, DCGANs outperformed traditional methods in generating accurate drainage networks. This highlights the potential of DCGANs in high contrast images common in earth and material sciences.
SCIENTIFIC REPORTS
(2021)
