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ANALYSIS OF THE RELATIONSHIP BETWEEN THE EXTENT OF AMMONIA RELEASE THREATENED TERRITORY AND THE ATMOSPHERIC CONDITIONS CHANGE ? CASE STUDY BASED ON ALOHA APPLICATION
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A. Majlingova;S. Galla;M. Zachar
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1314-2704
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English
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17
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51
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The paper deals with problem of analyzing the changes between the extent of the territory, which is affected by the release of ammonia from the stationary source and the changing atmospheric conditions in this territory. To determine the extent of threatened area the ALOHA program environment as a spatial decision support tool was applied. As a scenario the release of ammonia from the tank, i.e. tank wagon staying at the freight railway station in Zvolen. The results of the analyses confirmed the fact the atmospheric conditions, mostly the wind speed has an important influence on the ammonia dispersion in the air its concentration and the extent of the threatened area. From the results is also evident that the cloud cover has no influence on gas dispersion in the air. Results of such analyses are further applicable to be included in the emergency plans and as a spatial decision support of crises managers at the local level, for creation of crises scenarios to be used in real time, etc. They are also applicable in the sphere of persons and property protection and also for the assignment of safety of the rescue services members acting at the site of intervention.
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conference
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17th International Multidisciplinary Scientific GeoConference SGEM 2017
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17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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85-92
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29 June - 5 July, 2017
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website
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cdrom
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3895
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ALOHA; modelling; protection of persons and property; rescue services; spatial decision support
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