{"id":5184,"date":"2016-03-30T13:16:53","date_gmt":"2016-03-30T11:16:53","guid":{"rendered":"http:\/\/www.geology.com.ua\/?page_id=5184"},"modified":"2017-10-26T14:45:49","modified_gmt":"2017-10-26T12:45:49","slug":"geoinformatika-2016-157-57-65","status":"publish","type":"page","link":"http:\/\/www.geology.com.ua\/en\/geoinformatika-2016-157-57-65\/","title":{"rendered":"Geoinformatika 2016; 1(57) : 57-65"},"content":{"rendered":"

Geoinformatika 2016; 1(57) : 57-65 (in Ukrainian)<\/em><\/p>\n

INFORMATION RESOURCES OF INTERACTIVE DECISION SUPPORT SYSTEM FOR ENVIRONMENTAL PROTECTION MANAGEMENT OF THE BLACK SEA UKRAINIAN SECTOR<\/span><\/strong><\/b><\/h4>\n
G.Y. Krasovsky<\/span><\/em>1<\/sup><\/em>, V.V. Radchuk<\/span><\/em>2<\/sup><\/em>,\u00a0 S.\u0410. Zagorodnya<\/span><\/em>2<\/sup><\/em><\/h5>\n

\u00a0<\/span><\/em>1<\/sup><\/em>M.E. Zhukovsky National Aerospace University \u201cKharkiv Aviation Institute\u201d, 17 Chkalova Str., Kharkiv 61070, Ukraine,\u00a0 e-mail: g_krasovskiy@mail.ru
\n<\/span><\/em>2<\/sup><\/em>Institute of Telecommunications and Global Information Space, NAS of Ukraine, 13 Chokolovsky Blv., Kyiv 03186, Ukraine, e-mail: valentyn.radchuk@gmail.com<\/span><\/em><\/p>\n

Purpose.<\/span><\/strong> An interactive system proves to allow us to put into practice the concept of centralized processes of data collection, systematization, accumulation and storage, as well as providing the interested user with primary data for information support of decision-making related to protection and effective use of renewable natural resources of the coastal land and sea areas. In addition, can enable regional authorities to operate much more effectively in decision grounding, planning and making since it permits to remove duplication of essential primary environmental data searching processes and ensures their rapid updating. It should be noted that remote sensing technologies for sea areas, along with geoinformation tools, allow us to get current information of high accuracy and good visual presentation.\u00a0 The above permits to obtain quantitative estimation of sea pollution of catastrophic proportion and to identify coastal sites in terms of decision-making related to prioritizing remedial actions. Also, there is a significant social, environmental and economic effect due to the economy of time and human and financial resources.
\n<\/span>Design\/methodology\/approach.<\/span><\/strong> The major advantage of the sea water areas remote sensing methods is that they ensure: high observability, possibilities of getting instantaneous information on large sites of sea water areas; possibility of moving from discrete valuation of the sea waters environmental state in certain selected areas to identification of their infinite spatiotemporal distribution; possibility of identifying environmental state of distant sea sites. It makes sense to integrate the above methods with geoinformation technologies within the structure of an interactive decision-making support system with regard to environmental safety management issues in the Ukrainian sector of the Black Sea. The present article is devoted to identifying informational resources for this system.
\n<\/span>Findings.<\/span><\/strong> Modern geoinformation systems offer new opportunities for the above results to be generalized because they provide for geospatial data management and allow: to create cartographic\u00a0\u00a0 images of the sea sites with the given types of connections between information and data bases of technical-and-economic parameters of discharge sources into the sea outfall; to present dynamics of the current sea waters pollution levels and predict the speed and tendencies of their spreading; to visualize sea sites state characteristics in the form of thematic maps on a topographic full scope basis.
\n<\/span>Practical value\/implications.<\/span><\/strong> Practical implication of the results from environment-oriented interpretation of space images increases when they are analyzed together with assessment of environmental components state made using contact methods. The above peculiarities of ERS and GIS permit to discover previously unknown characteristics, interrelations and tendencies in the environmental state particular sea sites. The article presents cartographic models of environmental state of the Black Sea offshore strip constructed by means of thematic decoding of space images. Of specific interest are models obtained in NOAA processing of images that are received in real timing by the space image receiving station of the National Aerospace University \u201cKharkiv Aviation Institute\u201d.<\/span><\/p>\n

Keywords:<\/span><\/strong> remote sounding of the Earth, geoinformation system, maximum permissible concentration, superhigh frequency range, dielectric constant, efficient area of dispersion.<\/span><\/p>\n

\u00a0The full text of papers<\/strong><\/em><\/span><\/a><\/p>\n

References:<\/span><\/strong><\/p>\n

    \n
  1. Andreev S.M., Kreta D.L., Radchuk V.V. Rozrobka kartohrafichnykh modeley morskykh akvatoriy ta pryberezhnykh terytoriy z zastosuvannyam heoinformatsiynykh tekhnolohii. VII Mizhnarodna naukovo-praktychna konferentsiia \u201cSuchasni informatsiyni tekhnolohiyi upravlinnya ekolohichnoyu bezpekoyu, pryrodokorystuvannyam, zakhodamy z nadzvychaynykh sytuatsiy\u201d<\/i>. Kyiv; Kharkiv; AR Krym, 2008, pp. 112-117 (in Ukrainian). <\/span><\/li>\n
  2. Butenko O.S. Metodologija prognozirovanija razvitija antropogennyh anomalij na osnove logiko-algebraicheskih modelej komplexirovanija dannyh monitoringa ekosistem. Dis. \u2026 d-ra tehn. nauk.<\/i> Harkov, 2011, 445 p. (in Ukrainian). <\/span><\/li>\n
  3. Infrastruktura sputnikovykh geoinformatsionnykh resursov i ikh integratsiya. Sbornik nauchnykh trudov; eds M.A. Popov, E.B. Kudashev. Kiev, Karbon-Servis, 2013, 190 p. (in Russian).<\/span><\/li>\n
  4. Krasovskiy G.Y. Kosmichnyi monitorynh ekolohichnoi bezpeky vodnykh ekosystem z zastosuvanniam heoinformatsiinykh tekhnolohii. Kyiv, Intertekhnolohiia, 2008, 486 p. (in Ukrainian).<\/span><\/li>\n
  5. Krasovskiy G.Y., Radchuk V.V., Trofimchuk O.M. Suchasni informatsiini tekhnolohii ekolohichnoho monitorynhu Chornoho moria. Kyiv, Informatsiini systemy, 2010, 302 p. (in Ukrainian).<\/span><\/li>\n
  6. Postanova Kabinetu Ministriv Ukrainy vid 20 lypnia 1996 no. 815 \u201cPro zatverdzhennia Poriadku zdiisnennia derzhavnoho monitorynhu vod\u201d. Available at: http:\/\/zakon2.rada.gov.ua\/laws\/show\/815-96-%D0%BF (Accessed 03 November 2015).<\/span><\/li>\n
  7. Krasovskiy G.Y., Trofimchuk A.N., Slobodjan V.A.,\u00a0 Brashevan A.N.\u00a0 Raspoznavanie zagryazneniy morskikh akvatoriy s ispol\u2019zovaniem iskusstvennykh deshifrovochnykh priznakov. Ekologichna bezpeka ta prirodokoristuvannja: zbirnyk naukovykh prats<\/i>, 2008, iss. 2, pp. 93-104 (in Russian).<\/span><\/li>\n
  8. Slobodyan V.A., Brashevan A.N. Algorithm of recognition contaminations of Black and Azov seas. Radioelektronni i kompyuterni systemy<\/i>, 2008, no. 2, pp. 85-89 (in Russian).<\/span><\/li>\n
  9. Stan dovkillia Chornoho moria: Natsionalna dopovid Ukrainy, 1996?2000. Odesa, Astroprynt, 2002, 80 p. (in Ukrainian).<\/span><\/li>\n
  10. Trofimchuk A.N., Radchuk V.V., Krasovskiy G.Y., Andreev S.N., Kreta D.L. Structure of banks of space images for GIS management the guard of salt territorial waters of Ukraine. Scientific Notes of Taurida National V. Vernadsky University. Series: Geography<\/i>, 2010, vol. 23, no. 2, pp. 271-279 (in Ukrainian). <\/span><\/li>\n<\/ol>\n

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    Geoinformatika 2016; 1(57) : 57-65 (in Ukrainian) INFORMATION RESOURCES OF INTERACTIVE DECISION SUPPORT SYSTEM FOR ENVIRONMENTAL PROTECTION MANAGEMENT OF THE BLACK SEA UKRAINIAN SECTOR G.Y. Krasovsky1, V.V. Radchuk2,\u00a0 S.\u0410. Zagorodnya2 \u00a01M.E. Zhukovsky National Aerospace University \u201cKharkiv Aviation Institute\u201d, 17 Chkalova Str., Kharkiv 61070, Ukraine,\u00a0 e-mail: g_krasovskiy@mail.ru 2Institute of Telecommunications and Global Information Space, NAS of Ukraine, 13 Chokolovsky Blv., Kyiv 03186, Ukraine, e-mail: valentyn.radchuk@gmail.com Purpose. An interactive system proves to allow us to put into practice the concept of centralized processes of data collection, systematization, accumulation and storage, as well as providing the interested user with primary data for information support of decision-making related to protection and effective use of renewable natural resources of the coastal land and sea areas. In addition, can enable regional authorities to operate much more effectively in decision grounding, planning and making since it permits to remove duplication of essential primary environmental data searching processes and ensures their rapid updating. It should be noted that remote sensing technologies for sea areas, along with geoinformation tools, allow us to get current information of high accuracy and good visual presentation.\u00a0 The above permits to obtain quantitative estimation of sea pollution of catastrophic proportion and to identify coastal sites in terms of decision-making related to prioritizing remedial actions. Also, there is a significant social, environmental and economic effect due to the economy of time and human and financial resources. Design\/methodology\/approach. The major advantage of the sea water areas remote sensing methods is that they ensure: high observability, possibilities of getting instantaneous information on large sites of sea water areas; possibility of moving from discrete valuation of the sea waters environmental state in certain selected areas to identification of their infinite spatiotemporal distribution; possibility of identifying environmental state of distant sea sites. It makes sense to integrate the above methods with geoinformation technologies within the structure of an interactive decision-making support system with regard to environmental safety management issues in the Ukrainian sector of the Black Sea. The present article is devoted to identifying informational resources for this system. Findings. Modern geoinformation systems offer new opportunities for the above results to be generalized because they provide for geospatial data management and allow: to create cartographic\u00a0\u00a0 images of the sea sites with the given types of connections between information and data bases of technical-and-economic parameters of discharge sources into the sea outfall; to present dynamics of the current sea waters pollution levels and predict the speed and tendencies of their spreading; to visualize sea sites state characteristics in the form of thematic maps on a topographic full scope basis. Practical value\/implications. Practical implication of the results from environment-oriented interpretation of space images increases when they are analyzed together with assessment of environmental components state made using contact methods. The above peculiarities of ERS and GIS permit to discover previously unknown characteristics, interrelations and tendencies in the environmental state particular sea sites. The article presents cartographic models of environmental state of the Black Sea offshore strip constructed by means of thematic decoding of space images. Of specific interest are models obtained in NOAA processing of images that are received in real timing by the space image receiving station of the National Aerospace University \u201cKharkiv Aviation Institute\u201d. Keywords: remote sounding of the Earth, geoinformation system, maximum permissible concentration, superhigh frequency range, dielectric constant, efficient area of dispersion. \u00a0The full text of papers References: Andreev S.M., Kreta D.L., Radchuk V.V. Rozrobka kartohrafichnykh modeley morskykh akvatoriy ta pryberezhnykh terytoriy z zastosuvannyam heoinformatsiynykh tekhnolohii. VII Mizhnarodna naukovo-praktychna konferentsiia \u201cSuchasni informatsiyni tekhnolohiyi upravlinnya ekolohichnoyu bezpekoyu, pryrodokorystuvannyam, zakhodamy z nadzvychaynykh sytuatsiy\u201d. Kyiv; Kharkiv; AR Krym, 2008, pp. 112-117 (in Ukrainian). Butenko O.S. Metodologija prognozirovanija razvitija antropogennyh anomalij na osnove logiko-algebraicheskih modelej komplexirovanija dannyh monitoringa ekosistem. Dis. \u2026 d-ra tehn. nauk. Harkov, 2011, 445 p. (in Ukrainian). Infrastruktura sputnikovykh geoinformatsionnykh resursov i ikh integratsiya. Sbornik nauchnykh trudov; eds M.A. Popov, E.B. Kudashev. Kiev, Karbon-Servis, 2013, 190 p. (in Russian). Krasovskiy G.Y. Kosmichnyi monitorynh ekolohichnoi bezpeky vodnykh ekosystem z zastosuvanniam heoinformatsiinykh tekhnolohii. Kyiv, Intertekhnolohiia, 2008, 486 p. (in Ukrainian). Krasovskiy G.Y., Radchuk V.V., Trofimchuk O.M. Suchasni informatsiini tekhnolohii ekolohichnoho monitorynhu Chornoho moria. Kyiv, Informatsiini systemy, 2010, 302 p. (in Ukrainian). Postanova Kabinetu Ministriv Ukrainy vid 20 lypnia 1996 no. 815 \u201cPro zatverdzhennia Poriadku zdiisnennia derzhavnoho monitorynhu vod\u201d. Available at: http:\/\/zakon2.rada.gov.ua\/laws\/show\/815-96-%D0%BF (Accessed 03 November 2015). Krasovskiy G.Y., Trofimchuk A.N., Slobodjan V.A.,\u00a0 Brashevan A.N.\u00a0 Raspoznavanie zagryazneniy morskikh akvatoriy s ispol\u2019zovaniem iskusstvennykh deshifrovochnykh priznakov. Ekologichna bezpeka ta prirodokoristuvannja: zbirnyk naukovykh prats, 2008, iss. 2, pp. 93-104 (in Russian). Slobodyan V.A., Brashevan A.N. Algorithm of recognition contaminations of Black and Azov seas. Radioelektronni i kompyuterni systemy, 2008, no. 2, pp. 85-89 (in Russian). Stan dovkillia Chornoho moria: Natsionalna dopovid Ukrainy, 1996?2000. Odesa, Astroprynt, 2002, 80 p. (in Ukrainian). Trofimchuk A.N., Radchuk V.V., Krasovskiy G.Y., Andreev S.N., Kreta D.L. Structure of banks of space images for GIS management the guard of salt territorial waters of Ukraine. Scientific Notes of Taurida National V. Vernadsky University. Series: Geography, 2010, vol. 23, no. 2, pp. 271-279 (in Ukrainian).<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5184","page","type-page","status-publish","hentry"],"yoast_head":"\nGeoinformatika 2016; 1(57) : 57-65 - \u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/www.geology.com.ua\/en\/geoinformatika-2016-157-57-65\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Geoinformatika 2016; 1(57) : 57-65 - \u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb\" \/>\n<meta property=\"og:description\" content=\"Geoinformatika 2016; 1(57) : 57-65 (in Ukrainian) INFORMATION RESOURCES OF INTERACTIVE DECISION SUPPORT SYSTEM FOR ENVIRONMENTAL PROTECTION MANAGEMENT OF THE BLACK SEA UKRAINIAN SECTOR G.Y. Krasovsky1, V.V. Radchuk2,\u00a0 S.\u0410. Zagorodnya2 \u00a01M.E. Zhukovsky National Aerospace University \u201cKharkiv Aviation Institute\u201d, 17 Chkalova Str., Kharkiv 61070, Ukraine,\u00a0 e-mail: g_krasovskiy@mail.ru 2Institute of Telecommunications and Global Information Space, NAS of Ukraine, 13 Chokolovsky Blv., Kyiv 03186, Ukraine, e-mail: valentyn.radchuk@gmail.com Purpose. An interactive system proves to allow us to put into practice the concept of centralized processes of data collection, systematization, accumulation and storage, as well as providing the interested user with primary data for information support of decision-making related to protection and effective use of renewable natural resources of the coastal land and sea areas. In addition, can enable regional authorities to operate much more effectively in decision grounding, planning and making since it permits to remove duplication of essential primary environmental data searching processes and ensures their rapid updating. It should be noted that remote sensing technologies for sea areas, along with geoinformation tools, allow us to get current information of high accuracy and good visual presentation.\u00a0 The above permits to obtain quantitative estimation of sea pollution of catastrophic proportion and to identify coastal sites in terms of decision-making related to prioritizing remedial actions. Also, there is a significant social, environmental and economic effect due to the economy of time and human and financial resources. Design\/methodology\/approach. The major advantage of the sea water areas remote sensing methods is that they ensure: high observability, possibilities of getting instantaneous information on large sites of sea water areas; possibility of moving from discrete valuation of the sea waters environmental state in certain selected areas to identification of their infinite spatiotemporal distribution; possibility of identifying environmental state of distant sea sites. It makes sense to integrate the above methods with geoinformation technologies within the structure of an interactive decision-making support system with regard to environmental safety management issues in the Ukrainian sector of the Black Sea. The present article is devoted to identifying informational resources for this system. Findings. Modern geoinformation systems offer new opportunities for the above results to be generalized because they provide for geospatial data management and allow: to create cartographic\u00a0\u00a0 images of the sea sites with the given types of connections between information and data bases of technical-and-economic parameters of discharge sources into the sea outfall; to present dynamics of the current sea waters pollution levels and predict the speed and tendencies of their spreading; to visualize sea sites state characteristics in the form of thematic maps on a topographic full scope basis. Practical value\/implications. Practical implication of the results from environment-oriented interpretation of space images increases when they are analyzed together with assessment of environmental components state made using contact methods. The above peculiarities of ERS and GIS permit to discover previously unknown characteristics, interrelations and tendencies in the environmental state particular sea sites. The article presents cartographic models of environmental state of the Black Sea offshore strip constructed by means of thematic decoding of space images. Of specific interest are models obtained in NOAA processing of images that are received in real timing by the space image receiving station of the National Aerospace University \u201cKharkiv Aviation Institute\u201d. Keywords: remote sounding of the Earth, geoinformation system, maximum permissible concentration, superhigh frequency range, dielectric constant, efficient area of dispersion. \u00a0The full text of papers References: Andreev S.M., Kreta D.L., Radchuk V.V. Rozrobka kartohrafichnykh modeley morskykh akvatoriy ta pryberezhnykh terytoriy z zastosuvannyam heoinformatsiynykh tekhnolohii. VII Mizhnarodna naukovo-praktychna konferentsiia \u201cSuchasni informatsiyni tekhnolohiyi upravlinnya ekolohichnoyu bezpekoyu, pryrodokorystuvannyam, zakhodamy z nadzvychaynykh sytuatsiy\u201d. Kyiv; Kharkiv; AR Krym, 2008, pp. 112-117 (in Ukrainian). Butenko O.S. Metodologija prognozirovanija razvitija antropogennyh anomalij na osnove logiko-algebraicheskih modelej komplexirovanija dannyh monitoringa ekosistem. Dis. \u2026 d-ra tehn. nauk. Harkov, 2011, 445 p. (in Ukrainian). Infrastruktura sputnikovykh geoinformatsionnykh resursov i ikh integratsiya. Sbornik nauchnykh trudov; eds M.A. Popov, E.B. Kudashev. Kiev, Karbon-Servis, 2013, 190 p. (in Russian). Krasovskiy G.Y. Kosmichnyi monitorynh ekolohichnoi bezpeky vodnykh ekosystem z zastosuvanniam heoinformatsiinykh tekhnolohii. Kyiv, Intertekhnolohiia, 2008, 486 p. (in Ukrainian). Krasovskiy G.Y., Radchuk V.V., Trofimchuk O.M. Suchasni informatsiini tekhnolohii ekolohichnoho monitorynhu Chornoho moria. Kyiv, Informatsiini systemy, 2010, 302 p. (in Ukrainian). Postanova Kabinetu Ministriv Ukrainy vid 20 lypnia 1996 no. 815 \u201cPro zatverdzhennia Poriadku zdiisnennia derzhavnoho monitorynhu vod\u201d. Available at: http:\/\/zakon2.rada.gov.ua\/laws\/show\/815-96-%D0%BF (Accessed 03 November 2015). Krasovskiy G.Y., Trofimchuk A.N., Slobodjan V.A.,\u00a0 Brashevan A.N.\u00a0 Raspoznavanie zagryazneniy morskikh akvatoriy s ispol\u2019zovaniem iskusstvennykh deshifrovochnykh priznakov. Ekologichna bezpeka ta prirodokoristuvannja: zbirnyk naukovykh prats, 2008, iss. 2, pp. 93-104 (in Russian). Slobodyan V.A., Brashevan A.N. Algorithm of recognition contaminations of Black and Azov seas. Radioelektronni i kompyuterni systemy, 2008, no. 2, pp. 85-89 (in Russian). Stan dovkillia Chornoho moria: Natsionalna dopovid Ukrainy, 1996?2000. Odesa, Astroprynt, 2002, 80 p. (in Ukrainian). Trofimchuk A.N., Radchuk V.V., Krasovskiy G.Y., Andreev S.N., Kreta D.L. Structure of banks of space images for GIS management the guard of salt territorial waters of Ukraine. Scientific Notes of Taurida National V. Vernadsky University. Series: Geography, 2010, vol. 23, no. 2, pp. 271-279 (in Ukrainian).\" \/>\n<meta property=\"og:url\" content=\"http:\/\/www.geology.com.ua\/en\/geoinformatika-2016-157-57-65\/\" \/>\n<meta property=\"og:site_name\" content=\"\u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb\" \/>\n<meta property=\"article:modified_time\" content=\"2017-10-26T12:45:49+00:00\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/geoinformatika-2016-157-57-65\\\/\",\"url\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/geoinformatika-2016-157-57-65\\\/\",\"name\":\"Geoinformatika 2016; 1(57) : 57-65 - \u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb\",\"isPartOf\":{\"@id\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/#website\"},\"datePublished\":\"2016-03-30T11:16:53+00:00\",\"dateModified\":\"2017-10-26T12:45:49+00:00\",\"breadcrumb\":{\"@id\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/geoinformatika-2016-157-57-65\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[[\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/geoinformatika-2016-157-57-65\\\/\"]]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/geoinformatika-2016-157-57-65\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Geoinformatika 2016; 1(57) : 57-65\"}]},{\"@type\":\"WebSite\",\"@id\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/#website\",\"url\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/\",\"name\":\"\u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb\",\"description\":\"\u0426\u0435\u043d\u0442\u0440 \u043c\u0435\u043d\u0435\u0434\u0436\u043c\u0435\u043d\u0442\u0443 \u0442\u0430 \u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433\u0443 \u0432 \u0433\u0430\u043b\u0443\u0437\u0456 \u043d\u0430\u0443\u043a \u043f\u0440\u043e \u0417\u0435\u043c\u043b\u044e\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"http:\\\/\\\/www.geology.com.ua\\\/en\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Geoinformatika 2016; 1(57) : 57-65 - \u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"http:\/\/www.geology.com.ua\/en\/geoinformatika-2016-157-57-65\/","og_locale":"en_US","og_type":"article","og_title":"Geoinformatika 2016; 1(57) : 57-65 - \u0421\u0430\u0439\u0442 \u0436\u0443\u0440\u043d\u0430\u043b\u0443 \u00ab\u0413\u0435\u043e\u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430\u00bb","og_description":"Geoinformatika 2016; 1(57) : 57-65 (in Ukrainian) INFORMATION RESOURCES OF INTERACTIVE DECISION SUPPORT SYSTEM FOR ENVIRONMENTAL PROTECTION MANAGEMENT OF THE BLACK SEA UKRAINIAN SECTOR G.Y. Krasovsky1, V.V. Radchuk2,\u00a0 S.\u0410. Zagorodnya2 \u00a01M.E. Zhukovsky National Aerospace University \u201cKharkiv Aviation Institute\u201d, 17 Chkalova Str., Kharkiv 61070, Ukraine,\u00a0 e-mail: g_krasovskiy@mail.ru 2Institute of Telecommunications and Global Information Space, NAS of Ukraine, 13 Chokolovsky Blv., Kyiv 03186, Ukraine, e-mail: valentyn.radchuk@gmail.com Purpose. An interactive system proves to allow us to put into practice the concept of centralized processes of data collection, systematization, accumulation and storage, as well as providing the interested user with primary data for information support of decision-making related to protection and effective use of renewable natural resources of the coastal land and sea areas. In addition, can enable regional authorities to operate much more effectively in decision grounding, planning and making since it permits to remove duplication of essential primary environmental data searching processes and ensures their rapid updating. It should be noted that remote sensing technologies for sea areas, along with geoinformation tools, allow us to get current information of high accuracy and good visual presentation.\u00a0 The above permits to obtain quantitative estimation of sea pollution of catastrophic proportion and to identify coastal sites in terms of decision-making related to prioritizing remedial actions. Also, there is a significant social, environmental and economic effect due to the economy of time and human and financial resources. Design\/methodology\/approach. The major advantage of the sea water areas remote sensing methods is that they ensure: high observability, possibilities of getting instantaneous information on large sites of sea water areas; possibility of moving from discrete valuation of the sea waters environmental state in certain selected areas to identification of their infinite spatiotemporal distribution; possibility of identifying environmental state of distant sea sites. It makes sense to integrate the above methods with geoinformation technologies within the structure of an interactive decision-making support system with regard to environmental safety management issues in the Ukrainian sector of the Black Sea. The present article is devoted to identifying informational resources for this system. Findings. Modern geoinformation systems offer new opportunities for the above results to be generalized because they provide for geospatial data management and allow: to create cartographic\u00a0\u00a0 images of the sea sites with the given types of connections between information and data bases of technical-and-economic parameters of discharge sources into the sea outfall; to present dynamics of the current sea waters pollution levels and predict the speed and tendencies of their spreading; to visualize sea sites state characteristics in the form of thematic maps on a topographic full scope basis. Practical value\/implications. Practical implication of the results from environment-oriented interpretation of space images increases when they are analyzed together with assessment of environmental components state made using contact methods. The above peculiarities of ERS and GIS permit to discover previously unknown characteristics, interrelations and tendencies in the environmental state particular sea sites. The article presents cartographic models of environmental state of the Black Sea offshore strip constructed by means of thematic decoding of space images. Of specific interest are models obtained in NOAA processing of images that are received in real timing by the space image receiving station of the National Aerospace University \u201cKharkiv Aviation Institute\u201d. Keywords: remote sounding of the Earth, geoinformation system, maximum permissible concentration, superhigh frequency range, dielectric constant, efficient area of dispersion. \u00a0The full text of papers References: Andreev S.M., Kreta D.L., Radchuk V.V. Rozrobka kartohrafichnykh modeley morskykh akvatoriy ta pryberezhnykh terytoriy z zastosuvannyam heoinformatsiynykh tekhnolohii. VII Mizhnarodna naukovo-praktychna konferentsiia \u201cSuchasni informatsiyni tekhnolohiyi upravlinnya ekolohichnoyu bezpekoyu, pryrodokorystuvannyam, zakhodamy z nadzvychaynykh sytuatsiy\u201d. Kyiv; Kharkiv; AR Krym, 2008, pp. 112-117 (in Ukrainian). Butenko O.S. Metodologija prognozirovanija razvitija antropogennyh anomalij na osnove logiko-algebraicheskih modelej komplexirovanija dannyh monitoringa ekosistem. Dis. \u2026 d-ra tehn. nauk. Harkov, 2011, 445 p. (in Ukrainian). Infrastruktura sputnikovykh geoinformatsionnykh resursov i ikh integratsiya. Sbornik nauchnykh trudov; eds M.A. Popov, E.B. Kudashev. Kiev, Karbon-Servis, 2013, 190 p. (in Russian). Krasovskiy G.Y. Kosmichnyi monitorynh ekolohichnoi bezpeky vodnykh ekosystem z zastosuvanniam heoinformatsiinykh tekhnolohii. Kyiv, Intertekhnolohiia, 2008, 486 p. (in Ukrainian). Krasovskiy G.Y., Radchuk V.V., Trofimchuk O.M. Suchasni informatsiini tekhnolohii ekolohichnoho monitorynhu Chornoho moria. Kyiv, Informatsiini systemy, 2010, 302 p. (in Ukrainian). Postanova Kabinetu Ministriv Ukrainy vid 20 lypnia 1996 no. 815 \u201cPro zatverdzhennia Poriadku zdiisnennia derzhavnoho monitorynhu vod\u201d. Available at: http:\/\/zakon2.rada.gov.ua\/laws\/show\/815-96-%D0%BF (Accessed 03 November 2015). Krasovskiy G.Y., Trofimchuk A.N., Slobodjan V.A.,\u00a0 Brashevan A.N.\u00a0 Raspoznavanie zagryazneniy morskikh akvatoriy s ispol\u2019zovaniem iskusstvennykh deshifrovochnykh priznakov. Ekologichna bezpeka ta prirodokoristuvannja: zbirnyk naukovykh prats, 2008, iss. 2, pp. 93-104 (in Russian). Slobodyan V.A., Brashevan A.N. Algorithm of recognition contaminations of Black and Azov seas. Radioelektronni i kompyuterni systemy, 2008, no. 2, pp. 85-89 (in Russian). Stan dovkillia Chornoho moria: Natsionalna dopovid Ukrainy, 1996?2000. Odesa, Astroprynt, 2002, 80 p. (in Ukrainian). Trofimchuk A.N., Radchuk V.V., Krasovskiy G.Y., Andreev S.N., Kreta D.L. Structure of banks of space images for GIS management the guard of salt territorial waters of Ukraine. Scientific Notes of Taurida National V. Vernadsky University. 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