Although Severe Accidents (SA) in nuclear power plants (NPPs) are unlikely events, occurrence with low probability (such as 10-5 per reactor per year), but causing significant damage to the reactor core, with core meltdown and serious consequences into the environment in case of radioactive products release. The mathematical models consider useful tools to predict the impacts of accidents consequences process. For site evaluation and environmental impact assessment for nuclear power plant models are needed to predict consequences of a hypothetical accident and evaluate the suitable protection or mitigation actions for emergency plan. In this work RASCAL (Radiological Assessment System for Consequence Analysis) Version 4.2 code was used for making dose projections for atmospheric releases during radiological emergencies. This hazard is location-specific since it is associated with the radiation dosage that is a function of distance from radiation source. In order to map the radiation hazard, Geographic Information Systems (GIS) is used. Accident consequence, RASCAL code output result, inter as an input to GIS codes to determine evacuation area and routes. The total amount radioactive released to atmosphere calculated using RASCAL code was about 1.5E+07 Ci and the maximum size of the PAZ was assessed at approximately a radius of 3 km from the NPPs.  The maximum size of the UPZ zone, with generic criteria 100 mSv was about 5 Km. The maximum evacuation and sheltering zones are up to 8 Km and 16 Km respectively. Using GIS, we determined the time required for escape and release arrival time if effective signs were installed. With effectively installed, the average required evacuation time was 36.88 minutes; without such signs in case the target area, the average time was 47.10 minutes. For a quick evacuation, activation network analyst directly within the emergency room

COVID - 19 is an infectious disease which causes extreme acute respiratory syndrome. It has resulted in a global crisis and health emergency that has impacted and brought changes of the world and daily lives. Communication skills is one of the essential elements for the students to enhance and develop their practical and deeper understanding about the subject they are learning in the context of distance learning.  This study determine the students’ level of communication skills in the context of distance learning amidst COVID-19.  The research employed the mixed-method research design where the student and teacher respondents were purposively selected. The findings revealed that the students’ level of communication skills had found overall weighted mean of 2.26 and interpreted as “Satisfactory”. The distance learning delivery modality affects students’ level of communication skills with overall mean of 2.97 and interpreted as “At all times”. The findings revealed that teachers help their students to improve their communication skills by means of integrating interactive activities whereas the students were challenged on modular learning modality due to limited student-teacher interactions that really affects their communication skills. Continuous study related to distance learning and communication skills are recommended.