scholarly journals Sensitivity Analysis to Investigate the Reliability of the Grid-Based Rainfall-Runoff Model

Water ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1839 ◽  
Author(s):  
Mun-Ju Shin ◽  
Yun Choi
Keyword(s):  
Water Movement ◽  
Parameter Sensitivity ◽  
Low Flow ◽  
Rainfall Runoff ◽  
Runoff Simulation ◽  
Rainfall Events ◽  
Flow Calculation ◽  
Rainfall Runoff Model ◽  
Runoff Model ◽  
Grid Based

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, using the Sobol’ method. Parameters identified as sensitive responded adequately to the scale of the rainfall events and the objective functions employed. Parameter sensitivity varied depending on rainfall scale, even in the same catchment. Interestingly, for a rainfall event causing considerable runoff, parameters related to initial soil saturation and soil water movement played a significant role in low flow calculation and high flow calculation, respectively. The larger and steeper catchment exhibited a greater difference in parameter sensitivity between rainfall events. Finally, we found that setting an incorrect parameter range that is physically impossible can have a large impact on runoff simulation, leading to substantial uncertainty in the simulation results. The proposed analysis method and the results from our study can help researchers using a distributed rainfall-runoff model produce more reliable analysis results.

scholarly journals Analysis of low flow indices under varying climatic conditions in Poland

2017 ◽  
Vol 49 (2) ◽  
pp. 373-389 ◽  
Author(s):  
Marzena Osuch ◽  
Renata Romanowicz ◽  
Wai K. Wong
Keyword(s):  
Climate Models ◽  
Climatic Conditions ◽  
Low Flow ◽  
Test Results ◽  
Rainfall Runoff ◽  
Objective Functions ◽  
Rcp 8.5 ◽  
Rainfall Runoff Model ◽  
Runoff Model ◽  
Simulated Time

Abstract Changes in low flow indices under future climates are estimated for eight catchments in Poland. A simulation approach is used to derive daily flows under changing climatic conditions, following RCP 4.5 and RCP 8.5 emission scenarios. The HBV rainfall–runoff model is used to simulate low flows. The model is calibrated and validated using streamflow observations from periods 1971–2000 and 2001–2010. Two objective functions are used for calibration: Nash–Sutcliffe and log transformed Nash–Sutcliffe. Finally, the models are run using the bias-corrected precipitation and temperature data simulated by GCM/RCM models for the periods 2021–2050 and 2071–2100. We estimate low flow indices for the simulated time series, including annual minima of 7-day mean river flows and number, severity and duration of low flow events. We quantify the biases of low flow indices by N-way analysis of variance (ANOVA) analysis and Tukey test. Results indicate a large effect of climate models, as well as objective functions, on the low flow indices obtained. A comparison of indices from the two future periods with the reference period 1971–2000 confirms the trends obtained in previous studies, in the form of a projected decrease in the frequency and intensity of low flow events.

scholarly journals Preliminary Study of Computational Time Steps in a Physically Based Distributed Rainfall–Runoff Model

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1269 ◽  
Author(s):  
Yun Choi ◽  
Mun-Ju Shin ◽  
Kyung Kim
Keyword(s):  
Optimal Parameter ◽  
Computational Time ◽  
Rainfall Runoff ◽  
Runoff Simulation ◽  
Stream Network ◽  
Time Step ◽  
Simulation Results ◽  
Rainfall Runoff Model ◽  
Parameter Values ◽  
Runoff Model

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 study, the effects of the fixed time step (FTS) method and the automatic time step (ATS) method on the simulated runoff of a distributed rainfall–runoff model were compared. The results revealed that the ATS method had less peak flow variability than the FTS method for the virtual catchment. In the FTS method, the difference in time step had more impact on the runoff simulation results than the other factors such as differences in the amount of rainfall, the density of the stream network, or the spatial resolution of the input data. Different optimal parameter values according to the computational time step were found when FTS and ATS were used in a real catchment, and the changes in the optimal parameter values were smaller in ATS than in FTS. The results of our analyses can help to yield reliable runoff simulation results.

A grid-based rainfall-runoff model for flood simulation including paddy fields

2010 ◽  
Vol 9 (3) ◽  
pp. 275-290 ◽  
Author(s):  
In-Kyun Jung ◽  
Jong-Yoon Park ◽  
Geun-Ae Park ◽  
Mi-Seon Lee ◽  
Seong-Joon Kim
Keyword(s):  
Paddy Fields ◽  
Rainfall Runoff ◽  
Flood Simulation ◽  
Rainfall Runoff Model ◽  
Runoff Model ◽  
Grid Based

scholarly journals Application of a model-based rainfall-runoff database as efficient tool for flood risk management

2013 ◽  
Vol 17 (8) ◽  
pp. 3159-3169 ◽  
Author(s):  
L. Brocca ◽  
S. Liersch ◽  
F. Melone ◽  
T. Moramarco ◽  
M. Volk
Keyword(s):  
Flood Risk ◽  
Central Italy ◽  
Temporal Distribution ◽  
Database Management System ◽  
Specific Class ◽  
Rainfall Runoff ◽  
Rainfall Events ◽  
Operational Forecasts ◽  
Rainfall Runoff Model ◽  
Runoff Model

Abstract. A framework for a comprehensive synthetic rainfall-runoff database was developed to study catchment response to a variety of rainfall events. The framework supports effective flood risk assessment and management and implements simple approaches. It consists of three flexible components, a rainfall generator, a continuous rainfall-runoff model, and a database management system. The system was developed and tested at two gauged river sections along the upper Tiber River (central Italy). One of the main questions was to investigate how simple such approaches can be applied without impairing the quality of the results. The rainfall-runoff model was used to simulate runoff on the basis of a large number of rainfall events. The resulting rainfall-runoff database stores pre-simulated events classified on the basis of the rainfall amount, initial wetness conditions and initial discharge. The real-time operational forecasts follow an analogue method that does not need new model simulations. However, the forecasts are based on the simulation results available in the rainfall-runoff database (for the specific class to which the forecast belongs). Therefore, the database can be used as an effective tool to assess possible streamflow scenarios assuming different rainfall volumes for the following days. The application to the study site shows that magnitudes of real flood events were appropriately captured by the database. Further work should be dedicated to introduce a component for taking account of the actual temporal distribution of rainfall events into the stochastic rainfall generator and to the use of different rainfall-runoff models to enhance the usability of the proposed procedure.

scholarly journals Application of a model-based rainfall-runoff database as efficient tool for flood risk management

2013 ◽  
Vol 10 (2) ◽  
pp. 2089-2115
Author(s):  
L. Brocca ◽  
S. Liersch ◽  
F. Melone ◽  
T. Moramarco ◽  
M. Volk
Keyword(s):  
Flood Risk ◽  
Central Italy ◽  
Temporal Distribution ◽  
Database Management System ◽  
Rainfall Runoff ◽  
Rainfall Events ◽  
Uncertainty Range ◽  
Rainfall Runoff Model ◽  
Runoff Model

Abstract. A framework for a comprehensive synthetic rainfall-runoff database was developed to study catchment response to a variety of rainfall events. The framework supports effective flood risk assessment and management and implements simple approaches. It consists of three flexible components, a rainfall generator, a continuous rainfall-runoff model, and a database management system. The system has been developed and tested at two gauged river sections along the upper Tiber River (central Italy). One of the main questions was to investigate how simple such approaches can be without impairing the quality of the results. The rainfall-runoff model was used to simulate runoff on the basis of a large number of design rainfall events. The resulting rainfall-runoff database can be used as an effective tool to assess possible streamflow situations assuming different rainfall volumes for the previous and the following days. The application to the study site shows that magnitudes of real flood events were appropriately captured by the database within an uncertainty range. Further work should be dedicated to introducing a component for taking account of the actual temporal distribution of rainfall events into the stochastic rainfall generator.

scholarly journals Ensemble flood simulation for a small dam catchment in Japan using 10 and 2 km resolution nonhydrostatic model rainfalls

2016 ◽  
Vol 16 (8) ◽  
pp. 1821-1839 ◽  
Author(s):  
Kenichiro Kobayashi ◽  
Shigenori Otsuka ◽  
Kazuo Saito ◽  
Keyword(s):  
Flood Control ◽  
Threshold Value ◽  
Ensemble Member ◽  
Japan Meteorological Agency ◽  
Rainfall Runoff ◽  
Runoff Simulation ◽  
Nonhydrostatic Model ◽  
Discharge Simulation ◽  
Rainfall Runoff Model ◽  
Runoff Model

Abstract. This paper presents a study on short-term ensemble flood forecasting specifically for small dam catchments in Japan. Numerical ensemble simulations of rainfall from the Japan Meteorological Agency nonhydrostatic model (JMA-NHM) are used as the input data to a rainfall–runoff model for predicting river discharge into a dam. The ensemble weather simulations use a conventional 10 km and a high-resolution 2 km spatial resolutions. A distributed rainfall–runoff model is constructed for the Kasahori dam catchment (approx. 70 km2) and applied with the ensemble rainfalls. The results show that the hourly maximum and cumulative catchment-average rainfalls of the 2 km resolution JMA-NHM ensemble simulation are more appropriate than the 10 km resolution rainfalls. All the simulated inflows based on the 2 and 10 km rainfalls become larger than the flood discharge of 140 m3 s−1, a threshold value for flood control. The inflows with the 10 km resolution ensemble rainfall are all considerably smaller than the observations, while at least one simulated discharge out of 11 ensemble members with the 2 km resolution rainfalls reproduces the first peak of the inflow at the Kasahori dam with similar amplitude to observations, although there are spatiotemporal lags between simulation and observation. To take positional lags into account of the ensemble discharge simulation, the rainfall distribution in each ensemble member is shifted so that the catchment-averaged cumulative rainfall of the Kasahori dam maximizes. The runoff simulation with the position-shifted rainfalls shows much better results than the original ensemble discharge simulations.

Sign in / Sign up

Export Citation Format

Share Document