4.5 Article

Instantaneous physical rainfall-runoff prediction technique using a power-law relationship between time to peak and peak flow of an instantaneous unit hydrograph and the rainfall excess intensity

Related references

Note: Only part of the references are listed.
Article Water Resources

Novel variable reconstruction and friction term discretisation schemes for hydrodynamic modelling of overland flow and surface water flooding

Jiaheng Zhao et al.

Summary: Due to advances in computing and data acquisition technologies, numerical models are widely used to predict overland flow and surface water flooding in natural catchments. Correct discretisation of source terms is essential for accurate and stable numerical solutions. This study introduces new schemes to reconstruct flow variables and improves an implicit algorithm to discretise friction terms, aiming to develop a hydrodynamic model for accurate simulation of very shallow water depth flooding.

ADVANCES IN WATER RESOURCES (2022)

Article Engineering, Civil

2D hydrodynamic approach supporting evaluations of hydrological response in small watersheds: Implications for lag time estimation

Giuseppe Barbero et al.

Summary: The use of integrated flood models, which simulate the hydrodynamic and hydrological response to rainfall events, is gaining interest in the literature. This study focuses on lag time estimation and examines the variability of lag time in small basins using a 2D-SWEs model. The hydrologic response of small catchments is described by characteristic times influencing the hydrodynamic response. The proposed approach is validated using synthetic rainfall-runoff scenarios and observed data, showing reasonably good agreement with estimations of the lag time.

JOURNAL OF HYDROLOGY (2022)

Article Computer Science, Interdisciplinary Applications

An integrated GPU-accelerated modeling framework for high-resolution simulations of rural and urban flash floods

Andreas Buttinger-Kreuzhuber et al.

Summary: This paper presents an integrated modeling framework for accurate predictions of flood hazard from heavy rainfalls. By integrating complementary models and utilizing GPU acceleration, the accuracy and simulation time of the model are improved. The framework is validated and tested in various scenarios, showing significant acceleration and the ability to simulate a large urban area in real-time.

ENVIRONMENTAL MODELLING & SOFTWARE (2022)

Article Engineering, Civil

A novel method for calculating distributed water depth and flow velocity of stormwater runoff during the heavy rainfall events

Yulong Zhu et al.

Summary: This work presents a novel method to calculate the distributed water depth and flow velocity of heavy rainfall-induced stormwater runoff. The method fully integrates the conceptual hydrological model and hydrodynamic model, resulting in low difficulty, high accuracy, and high efficiency.

JOURNAL OF HYDROLOGY (2022)

Article Engineering, Civil

Analysis of two sources of variability of basin outflow hydrographs computed with the 2D shallow water model Iber: Digital Terrain Model and unstructured mesh size

Gonzalo Garcia-Alen et al.

Summary: This study examines the influence of Digital Terrain Model (DTM) accuracy and resolution on the results and runtime of a hydrological model. The results suggest a correlation between the vertical accuracy of the DTM and its horizontal resolution.

JOURNAL OF HYDROLOGY (2022)

Article Geosciences, Multidisciplinary

Deep learning rainfall-runoff predictions of extreme events

Jonathan M. Frame et al.

Summary: The most accurate rainfall-runoff predictions are currently based on deep learning, but there is concern about their reliability in predicting extreme events. This study used LSTM networks and a mass-conserving LSTM variant to test this hypothesis, and found that these models remained relatively accurate in predicting extreme events compared to traditional models.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2022)

Article Engineering, Civil

Is HEC-RAS 2D accurate enough for storm-event hazard assessment? Lessons learnt from a benchmarking study based on rain-on-grid modelling

Pierfranco Costabile et al.

Summary: Rain-on-Grid (RoG) modelling is a popular approach in storm risk management, but systematic benchmarking studies of software packages like HEC-RAS 2D (HR2D) are lacking. This paper introduces the novelty of benchmarking HR2D for RoG simulations and provides evidence of its potential and limitations to increase model accuracy.

JOURNAL OF HYDROLOGY (2021)

Article Engineering, Civil

A 2D-SWEs framework for efficient catchment-scale simulations: Hydrodynamic scaling properties of river networks and implications for non-uniform grids generation

Pierfranco Costabile et al.

Summary: The application of 2D-SWEs in rainfall-runoff simulations at the catchment scale offers advanced flood mapping studies and hazard assessment, as well as innovative tools for analyzing river drainage networks. By studying the characteristics of river networks and the relationship between specific discharge thresholds and total areas of network cells, a heuristic process for non-uniform grid generation has been developed to detect hydrodynamically active areas in basins.

JOURNAL OF HYDROLOGY (2021)

Article Multidisciplinary Sciences

Prediction of Yangtze River streamflow based on deep learning neural network with El Nino-Southern Oscillation

Si Ha et al.

Summary: This study utilized ENSO and Yangtze River flow data for streamflow prediction, employing the deep neural network model ConvLSTM to improve model stability and accuracy, resulting in more accurate prediction of flood occurrence timing.

SCIENTIFIC REPORTS (2021)

Article Computer Science, Interdisciplinary Applications

Deep learning convolutional neural network in rainfall-runoff modelling

Song Pham Van et al.

JOURNAL OF HYDROINFORMATICS (2020)

Article Engineering, Civil

Simulation of Surface Runoff Using Hydrodynamic Model

Chunshui Yu et al.

JOURNAL OF HYDROLOGIC ENGINEERING (2017)

Article Agricultural Engineering

Quantifying Excess Stormwater Using SCS-CN-Based Rainfall Runoff Models and Different Curve Number Determination Methods

Muhammad Ajmal et al.

JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING (2015)

Article Agricultural Engineering

Quantifying Excess Stormwater Using SCS-CN-Based Rainfall Runoff Models and Different Curve Number Determination Methods

Muhammad Ajmal et al.

JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING (2015)

Article Water Resources

Coupled modeling of hydrologic and hydrodynamic processes including overland and channel flow

Jongho Kim et al.

ADVANCES IN WATER RESOURCES (2012)

Article Water Resources

A parsimonious geomorphological unit hydrograph for rainfall-runoff modelling in small ungauged basins

S. Grimaldi et al.

HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2012)

Article Engineering, Civil

Modeling floods in a dense urban area using 2D shallow water equations

E. Mignot et al.

JOURNAL OF HYDROLOGY (2006)

Article Engineering, Civil

GIS based distributed model for soil erosion and rate of sediment outflow from catchments

MK Jain et al.

JOURNAL OF HYDRAULIC ENGINEERING (2005)

Article Engineering, Civil

Applicability of kinematic, noninertia, and quasi-steady dynamic wave models to unsteady flow routing

CW Tsai

JOURNAL OF HYDRAULIC ENGINEERING-ASCE (2003)