{"id":15607,"date":"2022-01-31T21:53:20","date_gmt":"2022-01-31T20:53:20","guid":{"rendered":"http:\/\/jhq.dqa.mybluehost.me\/?page_id=15607"},"modified":"2022-02-08T00:12:53","modified_gmt":"2022-02-07T23:12:53","slug":"mathematical-modeling","status":"publish","type":"page","link":"https:\/\/gesmontenegro.me\/me\/mathematical-modeling\/","title":{"rendered":"Mathematical Modeling"},"content":{"rendered":"
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When releasing toxic pollutants into the atmosphere, either accidentally or intentionally, the competent emergency services require prompt and relevant information on the area affected by the pollutants as well as possible expected consequences. The process itself is limited in time precisely because of the decision-making under extraordinary circumstances. This is especially true for urban areas where higher population density contributes to increasing the likelihood of consequences as well as complicating and further complicating the evacuation of the population.<\/p>\n

During the simulations, in real time, many input parameters are taken into account. Decision-making is done on the basis of calculated danger zones. For the validation of such a system, Montenegro was selected with several potential industrial centers such as KAP and TPP Pljevlja, which are one of the largest air pollutants in this area.<\/p>\n<\/div>\n<\/div><\/div>\n

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Visualization of pollutants and accident situations<\/h2>\n<\/div>
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The GES team enables the visualization of pollutants and accident situations by applying the following mathematical models:<\/h5>\n<\/div>
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