Time Series Modeling on Daily Streamflow in a Lack-Data Catchment

Abstract The limited time series data for daily discharge to support the development and management of water resources in a catchment is classic challenge hydrology. Various methods, both empirically conceptually based, have been developed overcome this problem. This paper presents modeling relation scarcity Sausu Catchment, Central Sulawesi, Indonesia. simulation has assigned HEC-HMS Model with input rainfall period 2018-2020 potential evapotranspiration data. Before stage executed, optimization performed determine 17 optimal parameters representing three methods sub-models pairs ranfall-discharge November 2017. Optimal achieved at RMSE 10.3, 2 unchanged. results indicate that flow River based on years varies range 8 m 3 /s 160 /s. trend tends be associated as input.