PERFORMANCE OF LARGE-SCALE PARTICLE IMAGE VELOCIMETRY METHOD FOR SURFACE CURRENT IDENTIFICATION BASED ON DRONE HEIGHT VARIATION IN CIMANIS ESTUARY, CIREBON REGENCY

• Main Author: Kezia Rikka Marbun, Cindy
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/82490
• Institution: Institut Teknologi Bandung

The LSPIV method is one of the techniques of reviewing fluid flow in this study for the estuary study area using drones with varying heights, using the open source pyOpenRiverCam. The purpose of this study is to identify surface currents with varying drone heights, then verify the LSPIV results based on field data and analyze and link them to oceanographic aspects. LSPIV observations focused on the right side of the estuary mouth at the Cimanis River estuary. Observations of oceanographic aspects were also conducted spatially. Data verification in the LSPIV data results is field measurement data. The resulting current magnitudes for ideal conditions in the field range from 0-0.3 m/s. The current magnitude at low tide is greater than at high tide. The verification methods used are RMSE, MAE, MAPE, and correlation coefficient. The smallest error rate of RMSE, MAE, and MAPE is at 18 m height with each error value is 0.008 m/s, 0.006 m/s, and 2.6%. The correlation coefficients of current magnitude between LSPIV and flowatch and current meter and drifter were 0.96 and 0.79, respectively. The correlation coefficient of current direction reached 0.99. The result obtained is that the LSPIV measurement with an altitude of 18 m is the best result, which is caused by the results obtained from the low flight resulting in higher reconstruction detail and the best precision. The impact of different LSPIV heights can be seen in terms of frame resolution, results with the best height, drone vibration and stability, and coverage area.