MONITORING ANNUAL CHANGES IN SUSPENSED SEDIMENT CONCENTRATION IN THE SAGULING RESERVOIR

• Main Author: Nur Astri, Vindi
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/73463
• Institution: Institut Teknologi Bandung

<p align="justify"> Hydroelectric Power Plant is one source of electricity supply in Indonesia. Hydropower is needed as a source of electricity for the community, especially during the rainy season. However, the reservoirs that house hydropower plants are not always optimal in running electric turbines due to several problems caused by nature and the environment. One of the reservoir problems is the amount of suspended sediment in the water which causes siltation in the reservoir. The silting causes the volume of water in the reservoir to decrease so that it is less than optimal for running turbines for electricity generation. The implementation of suspended sediment monitoring requires high costs, a long time, and adequate human resources so that solutions are needed so that monitoring can be carried out effectively. This Final Project was created with the aim of monitoring annual changes in suspended sediment using the best algorithm. The methodology used is literature study, computational data processing, and the use of field data validation in the form of Total Suspended Sediment (TSS) data. It is hoped that the results of this research can be an alternative solution in monitoring water in the Saguling Reservoir. This study uses Landsat 8 OLI satellite image data in April 2017-2021 and field data in the form of TSS at several sampling locations. In this study it was found that Syarif Budhiman's algorithm was the best algorithm used for TSS monitoring. In the saguling reservoir, TSS dynamics can be seen every year.