Data Analysis and Visualization of INA-CBT Labuan Bajo System

Abstract

Indonesia Cable-Based Tsunameter (INA-CBT) has been successfully deployed and operating at Labuan Bajo of East Nusa Tenggara Province with one landing station (LS) and two ocean bottom units (OBUs). We present the data flow of the first time ever working CBT system in Indonesia, by dividing it into four major steps, i.e., data acquisition, data processing, data transmission, and data visualization. In data acquisition, the bottom pressure recorder (BPR) and 3-axes accelerometer sensors acquire water level and ground shaking data to be sent to the LS. The data processing step adds a timestamp to each data and processes BPR data with a tsunami detection algorithm (TDA), while data transmission sends the data from LS to the read down station (RDS). Lastly, RDS data are visualized in a web application. The data shows that the system can detect earthquake events with a time difference compared to that of the Meteorological, Climatological, and Geophysical Agency (BMKG). Furthermore, the system can also predict the sea level 15 seconds in advance. However, as no tsunami occurs, the tsunami alert feature cannot be verified yet. At this moment, we are expecting to develop another much more suitable algorithm for the INA-CBT system in the future by utilizing all the data collected.