The improvement of a particle tracking simulation using drift buoy data

Abstract

A particle tracking simulation is applied to compute track of drifting object in search and rescue system (SAR). The accuracy of simulation primarily depends on wind and current data among various parameters. In this study, we examine the effect of wind and an optimal coefficient of wind to improve SAR. As a particle tracking simulator, we used the module embedded on MOHID. The wind and current generated from WRF and MOHID are used in simulation. To acquire experimental data in evaluating simulation, a field experiment was conducted using drift buoy near to Gageo island located on south-western coast of Korea Peninsula from June to December 2015. The drift buoy was designed to be easily moved by wind and current in the sea. The simulation was conducted in same period of field experiment and a location of drifting buoy was updated every 12 hours. In order to estimate an optimal coefficient of wind, we simulated iteratively on the different wind coefficients from 1 to 4% by increasing 0.5%. The wind speed was also divided to 20 sections from 0 to 10 m/s and extracted maximum Ta (acceptable duration, 1km) at each section. From the analysis, a relational equation wind coefficient = -0.0274wind speed + 0.4309 was derived and Ta was increased from 5.7 to 6.8 hours. According to the result, we sure that wind coefficient is an important parameter to improve an accuracy of particle tracking simulation and the derived relaffect of wind and an optimal coefficient of wind to improve SAR. As a particle tracking simulator, we used the module embedded on MOHID. The wind and current generated from WRF and MOHID are used in simulation. To acquire experimental data in evaluating simulation, a field experiment was conducted using drift buoy near to Gageo island located on south-western coast of Korea Peninsula from June to December 2015. The drift buoy was designed to be easily moved by wind and current in the sea. The simulation was conducted in same period of field experiment and a location of drifting buoy was updated every 12 hours. In order to estimate an optimal coefficient of wind, we simulated iteratively on the different wind coefficients from 1 to 4% by increasing 0.5%. The wind speed was also divided to 20 sections from 0 to 10 m/s and extracted maximum Ta (acceptable duration, 1km) at each section. From the analysis, a relational equation wind coefficient = -0.0274wind speed + 0.4309 was derived and Ta was increased from 5.7 to 6.8 hours. According to the result, we sure that wind coefficient is an important parameter to improve an accuracy of particle tracking simulation and the derived rela