Analysis of weather field data at the TRIGA 2000 reactor site to enhance public safety measures
Haryo Seno (a*), Muhamad Hilmi Haidar (b), Nabila Putri Rihan (b), Djoko Prakoso Dwi Atmojo (a), Jibran Alfandi Rachman (c), Prasetyo Basuki (d)

a) Nuclear Energy Research Organization, National Research and Innovation Agency (BRIN)
*haryo.seno[at]brin.go.id
b) Telkom University
c) Gadjah Mada University
d) National Research and Innovation Agency (BRIN)

Abstract

Planning for a radiological safety and emergency preparedness program in the nuclear reactor facility requires a comprehensive understanding of environmental impact assessment. The radioactive plume dispersion emitted from nuclear reactors is becoming the most significant source for environmental risk in the atmospheric pathway. Many factors affect the radioactive plume dispersion into the environment. However, weather data, in particular wind speed and direction, significantly influence the dispersion of radioactive plumes into the environment. Since it is difficult to determine the wind speed and direction immediately after an emergency situation, a thorough grasp of previous wind data with a machine learning approach would be helpful to forecast subsequent and forthcoming wind data. This could predict the movement of the radioactive plume as precisely as possible, thus being able to facilitate proper countermeasure processes and protect the nearby population. This study examines a dataset of weather sensors from the last three years of the TRIGA 2000 nuclear reactor site. The characteristics of the wind field blowing from the reactor site to the surrounding heavily inhabited places are particularly investigated. In conclusion, suggestions for developing countermeasure strategies are offered.

Keywords: radiological safety, wind data, machine learning, emergency countermeasure

Topic: Energy Management, Regulation, and Policy