{"title":"Modeling framework for hazard management applied to water pollution and radiation dispersion","authors":"A. Ionita, M. Mocanu","doi":"10.1109/ICCP.2016.7737136","DOIUrl":null,"url":null,"abstract":"Management of natural and industrial hazards is performed through cooperation of a multitude of actors, sometimes from different institutions sharing common objectives, which belong to virtual organizations responsible of monitoring risks and responding to emergency situations. The information systems dedicated to this domain are multidisciplinary, highly distributed, and characterized by the co-existence of physical and computational artifacts. The paper introduces a modeling framework for the description and development of hazard management systems, implemented for prediction, decision support and early warning. The framework is not dependent of any modeling language and it is applied here for the characterization and the comparative analysis of two platforms: one for accidental river pollution and the other for the propagation of radioactive clouds in case of nuclear plants incidents.","PeriodicalId":343658,"journal":{"name":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCP.2016.7737136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Management of natural and industrial hazards is performed through cooperation of a multitude of actors, sometimes from different institutions sharing common objectives, which belong to virtual organizations responsible of monitoring risks and responding to emergency situations. The information systems dedicated to this domain are multidisciplinary, highly distributed, and characterized by the co-existence of physical and computational artifacts. The paper introduces a modeling framework for the description and development of hazard management systems, implemented for prediction, decision support and early warning. The framework is not dependent of any modeling language and it is applied here for the characterization and the comparative analysis of two platforms: one for accidental river pollution and the other for the propagation of radioactive clouds in case of nuclear plants incidents.