Rainfall-Runoff Simulation using Conceptual Model of Groundwater Storage
Flood events management affects the safety of people and infrastructures that it deserves special emphasis. Modeling of storm water in catchments is one of the fundamental hydrological challenges. Rainfall-runoff simulation is considered crucial for flood management and surface runoff is affect by groundwater capacity. A water balance of catchments where groundwater influences dominate needs to be analyzed in order to simulate correctly hydrological response. The Probability Distributed Model (PDM) is a general conceptual rainfall-runoff model which simulates runoff production controlled soil water storage processes. This model can be conceptualized as a simple store with a given storage capacity and the spatial variation of capacity can be described by a probability distribution. Soil moisture which is known to be a key factor in the runoff simulation is an important component in estimating groundwater storage. The Global Land Data Assimilation System (GLDAS) soil moisture dataset was used for the groundwater storage configuration of the PDM. Hongseong, the study area is located in the west coast of the Korean peninsula. Finding of this research imply that necessity of runoff simulation using various data and models for improved flood management. In addition, it is expected that quantified groundwater storage by using remotely sensed soil moisture dataset is beneficial to rainfall-runoff simulation and hydrological research.