A Spatial Analysis Model for Proactive Assessment on Radioactive Isotopes in Environment

Abstract

— In general, no one can escape from radiation. Radiation exists in various forms as minerals in earth and water, cosmic rays in space, radioactive energy in human body, man-made effects as in the form of industrial waste, result of nuclear weapon test, nuclear reactor and medical procedures. The people those who are living closer to the environment where radioactive emission is found to be high, would have a high risk of getting significant health aliments like skin burns and radiation sickness. Moreover people who receive constant exposure to lower level of radiation will susceptible to have cancer and cardio vascular diseases in their life time. The primary motive of the proposed work is to evaluate the concentration of the radioactivity substances, tracking the impact through present and futuristic patterns using deep learning techniques.