{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/1341"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/1341","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Development and demonstration of a high-performance Gaussian puff model for nuclear emergency training scenarios in unity game engine","abstract":"Prompt decision making and implementation of protective actions in the event of a nuclear or radiological emergency require detailed preparations and training. Computer models provide an avenue to simulate the presence of radioactive sources and/or releases of radioactive material safely, but the calculations involved can be complex and time- consuming. Increasing computer processing power and advanced coding techniques allow for complex simulations to be performed in real time while maintaining a level of performance suitable for modern interactive applications. A real-time dispersion model with simulation time scaling has been developed that provides a platform for creating training scenarios for the emergency response decision making process for radiological and nuclear emergencies. This research explores the development of this Gaussian puff model capable of calculating high-resolution radionuclide deposition maps and is demonstrated in an interactive training application.","abstract_html":"Prompt decision making and implementation of protective actions in the event of a nuclear or radiological emergency require detailed preparations and training. Computer models provide an avenue to simulate the presence of radioactive sources and/or releases of radioactive material safely, but the calculations involved can be complex and time- consuming. Increasing computer processing power and advanced coding techniques allow for complex simulations to be performed in real time while maintaining a level of performance suitable for modern interactive applications. A real-time dispersion model with simulation time scaling has been developed that provides a platform for creating training scenarios for the emergency response decision making process for radiological and nuclear emergencies. This research explores the development of this Gaussian puff model capable of calculating high-resolution radionuclide deposition maps and is demonstrated in an interactive training application.","abstract_has_math":false,"creators":["Gelautz, Paul David"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Applied Science (MASc)","degree_level":null,"degree_discipline":"Nuclear Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Waller, Edward"],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-08-01","date_published":"2021-08-01","updated_at":"2026-07-24T05:35:41Z","subjects":["Atmospheric dispersion","Emergency preparedness and response","Modelling","Training","Unity"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/1341","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Waller, Edward"]},{"key":"dc:creator","label":"Author","values":["Gelautz, Paul David"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2021-10-01T14:05:35Z","2022-03-25T18:49:55Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2021-10-01T14:05:35Z","2022-03-25T18:49:55Z"]},{"key":"dc:date.issued","label":"Date","values":["2021-08-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Nuclear Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Atmospheric dispersion","Emergency preparedness and response","Modelling","Training","Unity"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/1341"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Prompt decision making and implementation of protective actions in the event of a nuclear or radiological emergency require detailed preparations and training. Computer models provide an avenue to simulate the presence of radioactive sources and/or releases of radioactive material safely, but the calculations involved can be complex and time- consuming. Increasing computer processing power and advanced coding techniques allow for complex simulations to be performed in real time while maintaining a level of performance suitable for modern interactive applications. A real-time dispersion model with simulation time scaling has been developed that provides a platform for creating training scenarios for the emergency response decision making process for radiological and nuclear emergencies. This research explores the development of this Gaussian puff model capable of calculating high-resolution radionuclide deposition maps and is demonstrated in an interactive training application."]},{"key":"dc:title","label":"Title","values":["Development and demonstration of a high-performance Gaussian puff model for nuclear emergency training scenarios in unity game engine"]}]}],"canonical_facts":{"dc:contributor.advisor":["Waller, Edward"],"dc:creator":["Gelautz, Paul David"],"dc:date.accessioned":["2021-10-01T14:05:35Z","2022-03-25T18:49:55Z"],"dc:date.available":["2021-10-01T14:05:35Z","2022-03-25T18:49:55Z"],"dc:date.issued":["2021-08-01"],"dc:description.abstract":["Prompt decision making and implementation of protective actions in the event of a nuclear or radiological emergency require detailed preparations and training. Computer models provide an avenue to simulate the presence of radioactive sources and/or releases of radioactive material safely, but the calculations involved can be complex and time- consuming. Increasing computer processing power and advanced coding techniques allow for complex simulations to be performed in real time while maintaining a level of performance suitable for modern interactive applications. A real-time dispersion model with simulation time scaling has been developed that provides a platform for creating training scenarios for the emergency response decision making process for radiological and nuclear emergencies. This research explores the development of this Gaussian puff model capable of calculating high-resolution radionuclide deposition maps and is demonstrated in an interactive training application."],"dc:identifier.uri":["https://hdl.handle.net/10155/1341"],"dc:language.iso":["en"],"dc:subject":["Atmospheric dispersion","Emergency preparedness and response","Modelling","Training","Unity"],"dc:title":["Development and demonstration of a high-performance Gaussian puff model for nuclear emergency training scenarios in unity game engine"],"dc:type":["Thesis"],"thesis:degree_discipline":["Nuclear Engineering"],"thesis:degree_name":["Master of Applied Science (MASc)"],"thesis:institution_name":["University of Ontario Institute of Technology"]},"updated_at":"2026-07-24T05:35:41Z"}