Validation of Flood Runoff Simulation Using Distributed Hydrologic Models

Abstract

Due toclimate change, the average temperature of the Earth continues to increase, while abnormal climate patterns (such as El Niño and La Niña) occur frequently, causing numerous instances of flooding and drought damages. Thus, sophisticated analyses of rainfall-runoff phenomena are needed to reduce the damage caused by these weather disasters. Furthermore, analyzing the impact of extreme rainfall events occurring in a short period of time is essential for flood management. In this study, the Nakdong River, located in Yangsan, Gyeongsangnam-do, which is prone to localized heavy rainfall and flash floods, was selected as the target basin to conduct flood-runoff simulation. We used distributed runoff models such as spatial runoff assessment tool (S-RAT) and Vflo TM for this simulation, and compared and analyzed their results. Furthermore, using the same events, the validity and applicability of the S-RAT model has been verified through calibration. The errors of both models were calculated using statistical analysis to examine the domestic basin applicability of the S-RAT model. Address 1287-47 Sangbuk-myeon, Yangsan-si, South Gyeongsang Do Observation Station Soto TM_X TM_Y El (m) 385720.8577 211264.8762 -Address 1287-47 Sotori, Sangbuk-myeon, Yangsan, South Gyeongsang Do

Forecasting of Debris Flow Using Machine Learning-Based Adjusted Rainfall Information and RAMMS Model

“…The applicability of the S-RAT model can be confirmed through paper [25]. Figure 3 shows a diagram of the grid type water balance calculation concept.…”