University of Twente Student Theses


Assessment of satellite-based precipitation data for SWAT+ modelling in upstream catchment of Bengawan Solo, Java, Indonesia

Vinsensius Windy Hermawan, V. (2023) Assessment of satellite-based precipitation data for SWAT+ modelling in upstream catchment of Bengawan Solo, Java, Indonesia.

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Abstract:Hydrology is a scientific field that deals with water resources aiming to understand its occurrence, distribution and impact towards the environment. To have a better perspective on how these processes work, hydrological modelling is often used as a tool to analyze the phenomena that occur in certain areas and is commonly used to examine the impact of certain interventions for water resources. As one of the crucial inputs for hydrological modelling, precipitation data plays an important role that could directly affect the performance of the hydrological models. However, due to limitations, the precipitation data availability is often inadequate or even unavailable in certain areas. One of the examples was found in the upstream Bengawan Solo catchment, Indonesia, where the precipitation data is inadequate. One of the options to overcome this problem is using satellite precipitation products to replace the in-situ data. However, there are various numbers of satellite precipitation products globally. Different products have different characteristics of precipitation data. Therefore, this research was conducted mainly to investigate the performance of the satellite precipitation products (SPPs) especially in the application for hydrological modelling. The satellite precipitation products investigated in this research are the Climate Prediction Center Morphing Technique (CMORPH) and the Multi-Source Weighted Ensemble Precipitation (MSWEP). In comparison with the observed precipitation from 12 in-situ stations, MSWEP satellite precipitation products with a smaller grid size show a higher performance compared to CMOPRH satellite products. This was identified with BIAS and MAE indicators that show lower values for MSWEP satellite product compared to CMORPH product. Moreover, in the application for SWAT+ hydrological model, the streamflow generated using MSWEP satellite product also shows a higher performance both for comparison with the observed streamflow and the streamflow generated by the same model using observed precipitation. Thus, the MSWEP precipitation product is corrected using a bias correction technique called quantile mapping. However, the results of the bias correction data do not show many improvements for the comparison with observed precipitation or for the streamflow generated using the corrected data.
Item Type:Essay (Bachelor)
Faculty:ET: Engineering Technology
Programme:Civil Engineering BSc (56952)
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