Regionalisation of rainfall runoff modelling for flood forecasting in Indonesia

Flooding is the most frequent disaster in Indonesia, causing significant damage. Almost all areas in Indonesia experience flooding and more than 1 million households are affected on an annual basis. In order to prevent flooding, some approaches have been applied such as flood mitigation dikes and flood detention basins but these cost a lot of time and money. On the other hand, the development of flood warning systems can be implemented relatively fast with relatively low cost, and it can minimize flood-induced economic damage and also avoid fatality.

The development of reliable flood warning systems require lots of historical hydrology data. Such data is needed to calibrate hydrological models for flood forecasting. Unfortunately, not all of the catchments in Indonesia have historical flow records and most catchments in Indonesia are ungauged. However, statistical techniques, known as regionalisation methods, can be used to relate ungauged catchments to hydrologically similar gauged catchments. This enables simulation of historical and future flow data from ungauged areas.

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