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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">kaz29</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Казахстанско-Британского технического университета</journal-title><trans-title-group xml:lang="en"><trans-title>Herald of the Kazakh-British Technical University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-6688</issn><issn pub-type="epub">2959-8109</issn><publisher><publisher-name>Казахстанско-Британский Технический Университет</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">kaz29-293</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ФИЗИКО-МАТЕМАТИЧЕСКИЕ И ТЕХНИЧЕСКИЕ НАУКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PHYSICAL, MATHEMATICAL AND TECHNICAL SCIENCES</subject></subj-group></article-categories><title-group><article-title>ПРОГНОЗИРОВАНИЕ КАТАСТРОФ</article-title><trans-title-group xml:lang="en"><trans-title>DISASTER FORECASTING</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сабешулы</surname><given-names>И.</given-names></name><name name-style="western" xml:lang="en"><surname>Sabeshuly</surname><given-names>I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>студент</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Казахстанско-Британский технический университет<country>Казахстан</country></aff><aff xml:lang="en">Kazakh-British technical university<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>15</day><month>11</month><year>2021</year></pub-date><volume>17</volume><issue>4</issue><fpage>193</fpage><lpage>201</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Сабешулы И., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Сабешулы И.</copyright-holder><copyright-holder xml:lang="en">Sabeshuly I.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://vestnik.kbtu.edu.kz/jour/article/view/293">https://vestnik.kbtu.edu.kz/jour/article/view/293</self-uri><abstract><p>Катастрофы, вызванные природными явлениями, являются источником колоссальных социальных потрясений, способным привести к массовым страданиям, гибели людей, а также существенным материальным затратам. К основным факторам увеличения числа природных катаклизмов и чрезвычайных ситуаций природного характера относятся глобальные процессы, примерами которых являются: рост численности населения, деградация и ухудшение природной среды, изменение климата и другие. Препятствие природным катастрофам является ключевым элементом государственной стратегии в мировом масштабе, направленной на устойчивое развитие экономики, так как мировой опыт наглядно показывает: наиболее эффективным способом снижения потерь от природных, техногенных и вообще социально-экономических аварий и катастроф является их предотвращение. Основной основой предупреждения чрезвычайных ситуаций является мониторинг и прогнозирование. Безусловно, прогнозирование чрезвычайных ситуаций и их социально-экономических последствий базируется на мониторинге и прогнозировании источников возникновения чрезвычайных ситуаций. Соответственно борьба с природными катаклизмами должна основываться на принципе разумного хозяйственного использования территории, а также прогнозировании и моделировании потенциальных опасностей с проведением превентивных мероприятий, которая требует решения актуальной задачи, связанной с прогнозированием природных катаклизмов в современном мире.Основной целью данной статьи является создание краткого обзора исследований и актуальных методов современности, связанных с прогнозированием природных катаклизмов с целью предотвращения урона, наносимого им. В статье обосновывается высокая актуальность, связанная с объектом изучения, рассматриваются основные понятия и термины, а также исследуются некоторые методы прогнозирования, способные предотвратить потенциальную опасность природного характера.</p></abstract><trans-abstract xml:lang="en"><p>Disasters caused by natural phenomena are a source of tremendous social upheaval that can lead to mass suffering, loss of life, as well as significant material costs. The main factors in increasing the number of natural disasters and natural emergencies include global processes, examples of which are: population growth, degradation and environmental degradation, climate change and others. Obstruction of natural disasters is a key element of a global government strategy aimed at the sustainable development of the economy, as world experience clearly shows: the most effective way to reduce losses from natural, industrial and socio-economic accidents and disasters is to prevent them. The main basis for emergency prevention is monitoring and forecasting. Of course, forecasting emergencies and their socio-economic consequences is based on monitoring and forecasting the sources of emergencies. Accordingly, the fight against natural disasters should be based on the principle of the rational economic use of the territory, as well as forecasting and modeling of potential dangers with the implementation of preventive measures, which requires solving the urgent problem associated with the forecasting of natural disasters in the modern world.</p><p>The main purpose of this article is to create a brief overview of research and the current method of modernity associated with the prediction of natural disasters in order to prevent damage caused by it. The article substantiates the high relevance associated with the object of study, discusses the basic concepts and terms, and explores some forecasting methods that can prevent the potential danger of a natural nature.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>катастрофы</kwd><kwd>природные катаклизмы</kwd><kwd>прогнозирование</kwd><kwd>моделирование</kwd><kwd>землетря- сения</kwd><kwd>гравитация</kwd><kwd>GRACE</kwd><kwd>ионосфера</kwd><kwd>гравитационные аномалии</kwd><kwd>машина опорных векторов</kwd><kwd>прекурсор</kwd></kwd-group><kwd-group xml:lang="en"><kwd>catastrophes</kwd><kwd>natural disasters</kwd><kwd>forecasting</kwd><kwd>modeling</kwd><kwd>earthquakes</kwd><kwd>gravity</kwd><kwd>GRACE</kwd><kwd>ionosphere</kwd><kwd>gravitational anomalies</kwd><kwd>support vector machine</kwd><kwd>precursor.</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Kolesenkova A.N.: The system of information support for management decision-making procedures for the prevention of emergency situations: the dissertation of the candidate of technical sciences. HAC RF 05.13.10. 2012</mixed-citation><mixed-citation xml:lang="en">Kolesenkova A.N.: The system of information support for management decision-making procedures for the prevention of emergency situations: the dissertation of the candidate of technical sciences. HAC RF 05.13.10. 2012</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Plotnikov D.S., Safonova N.L. Prediction and prevention of natural disasters and man-made disasters using space monitoring systems // Problems of ensuring safety in emergency response. 2015</mixed-citation><mixed-citation xml:lang="en">Plotnikov D.S., Safonova N.L. Prediction and prevention of natural disasters and man-made disasters using space monitoring systems // Problems of ensuring safety in emergency response. 2015</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">E.I. Ponomarev, E.G. Shchvetsov, N.D. Yakimov, K.Yu. Litvintsev, O.I. Ponomarev: Monitoring and forecasting the characteristics of natural fires // Monitoring, modeling and forecasting of dangerous natural phenomena and emergency situations. 2017.</mixed-citation><mixed-citation xml:lang="en">E.I. Ponomarev, E.G. Shchvetsov, N.D. Yakimov, K.Yu. Litvintsev, O.I. Ponomarev: Monitoring and forecasting the characteristics of natural fires // Monitoring, modeling and forecasting of dangerous natural phenomena and emergency situations. 2017.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Torabi M., Hashemi S., Saybani M. R., Shamshirband S., &amp; Mosavi A. (2018). A hybrid clustering and classification technique for forecasting short-term energy consumption. Environmental Progress &amp; Sustainable Energy. doi:10.1002/ep.12934</mixed-citation><mixed-citation xml:lang="en">Torabi M., Hashemi S., Saybani M. R., Shamshirband S., &amp; Mosavi A. (2018). A hybrid clustering and classification technique for forecasting short-term energy consumption. Environmental Progress &amp; Sustainable Energy. doi:10.1002/ep.12934</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Ikram A., &amp; Qamar U. (2014). A rule-based expert system for earthquake prediction. Journal of Intelligent Information Systems, 43(2), 205–230.</mixed-citation><mixed-citation xml:lang="en">Ikram A., &amp; Qamar U. (2014). A rule-based expert system for earthquake prediction. Journal of Intelligent Information Systems, 43(2), 205–230.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Mehdidoust J Z., &amp; Shahbahrami A. (2016). Study Of Expert Systems In Predicting Earthquake.</mixed-citation><mixed-citation xml:lang="en">Mehdidoust J Z., &amp; Shahbahrami A. (2016). Study Of Expert Systems In Predicting Earthquake.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Sayad S. (2017). Support vector machine. Np, nd Web, 26.</mixed-citation><mixed-citation xml:lang="en">Sayad S. (2017). Support vector machine. Np, nd Web, 26.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Insom P., Cao C., Boonsrimuang P., Liu D., Saokarn A., Yomwan P., &amp; Xu Y. (2015). A support vector machine-based particle filter method for improved flooding classification. IEEE Geoscience and Remote Sensing Letters, 12(9), 1943–1947.</mixed-citation><mixed-citation xml:lang="en">Insom P., Cao C., Boonsrimuang P., Liu D., Saokarn A., Yomwan P., &amp; Xu Y. (2015). A support vector machine-based particle filter method for improved flooding classification. IEEE Geoscience and Remote Sensing Letters, 12(9), 1943–1947.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Pouria Hajikhodaverdikhan, Mousa Nazari, Mehrdad Mohsenizadeh, Shahaboddin Shamshirband &amp; Kwok-wing Chau (2018). Earthquake prediction with meteorological data by particle filter-based support vector regression. doi.org/10.1080/19942060.2018.1512010</mixed-citation><mixed-citation xml:lang="en">Pouria Hajikhodaverdikhan, Mousa Nazari, Mehrdad Mohsenizadeh, Shahaboddin Shamshirband &amp; Kwok-wing Chau (2018). Earthquake prediction with meteorological data by particle filter-based support vector regression. doi.org/10.1080/19942060.2018.1512010</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Akhoondzadeh M., M. Parrot and M.R. Saradjian (2010). Electron and ion density variations before strong earthquakes (M&gt;6.0) using DEMETER and GPS data, Natural Hazards and Earth System Sciences, 10, 7-18; doi:10.5194/nhess-10-7-2010.</mixed-citation><mixed-citation xml:lang="en">Akhoondzadeh M., M. Parrot and M.R. Saradjian (2010). Electron and ion density variations before strong earthquakes (M&gt;6.0) using DEMETER and GPS data, Natural Hazards and Earth System Sciences, 10, 7-18; doi:10.5194/nhess-10-7-2010.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Tapley B.D., S. Bettadpur, J. Ries, P.F. Thompson and M. Watkins (2004). GRACE measurements of mass variability in the Earth system, Science, 305, 503-505.</mixed-citation><mixed-citation xml:lang="en">Tapley B.D., S. Bettadpur, J. Ries, P.F. Thompson and M. Watkins (2004). GRACE measurements of mass variability in the Earth system, Science, 305, 503-505.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Chen J.L., C.R. Wilson, B.D. Tapley and S. Grand (2007). GRACE detects coseismic and postseismic deformation from the Sumatra-Andaman earthquake, Geophysical Research Letters, 34, L13302; doi:10.1029/2007gl030356.</mixed-citation><mixed-citation xml:lang="en">Chen J.L., C.R. Wilson, B.D. Tapley and S. Grand (2007). GRACE detects coseismic and postseismic deformation from the Sumatra-Andaman earthquake, Geophysical Research Letters, 34, L13302; doi:10.1029/2007gl030356.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Han S.C., J. Sauber and R. Riva (2011). Contribution of satellite gravimetry to understanding seismic source processes of the 2011 Tohoku-Oki earthquake, Geophysical Research Letter, 38, L24312; doi:10.10 29/2011GL049975.</mixed-citation><mixed-citation xml:lang="en">Han S.C., J. Sauber and R. Riva (2011). Contribution of satellite gravimetry to understanding seismic source processes of the 2011 Tohoku-Oki earthquake, Geophysical Research Letter, 38, L24312; doi:10.10 29/2011GL049975.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Matsuo K., and K. Heki (2011). Coseismic gravity changes of the 2011 Tohoku-Oki earthquake from satellite gravimetry, Geophysical Research Letter, 38, L00G12; doi:10.1029/2011GL049018.</mixed-citation><mixed-citation xml:lang="en">Matsuo K., and K. Heki (2011). Coseismic gravity changes of the 2011 Tohoku-Oki earthquake from satellite gravimetry, Geophysical Research Letter, 38, L00G12; doi:10.1029/2011GL049018.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Wang L., C.K. Shum, F.J. Simons, B. Tapley and C. Dai (2012c). Coseismic and postseismic deformation of the 2011 Tohoku-Oki earthquake constrained by GRACE gravimetry, Geophysical Research Letter., 39, L07301; doi:10.1029/2012GL051104.</mixed-citation><mixed-citation xml:lang="en">Wang L., C.K. Shum, F.J. Simons, B. Tapley and C. Dai (2012c). Coseismic and postseismic deformation of the 2011 Tohoku-Oki earthquake constrained by GRACE gravimetry, Geophysical Research Letter., 39, L07301; doi:10.1029/2012GL051104.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Han S.C, R. Riva, J. Sauber and E. Okal (2013). Source parameter inversion for recent great earthquakes from a decade-long observation of global gravity fields, Journal of Geophysical Research, 118, 1240- 1267; doi:10.1002/jgrb.50116.</mixed-citation><mixed-citation xml:lang="en">Han S.C, R. Riva, J. Sauber and E. Okal (2013). Source parameter inversion for recent great earthquakes from a decade-long observation of global gravity fields, Journal of Geophysical Research, 118, 1240- 1267; doi:10.1002/jgrb.50116.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Ozawa S., T. Nishimura, H. Suito, T. Kobayashi, M. Tobita and T. Imakiire (2011). Coseismic and postseismic slip of the 2011 magnitude-9 Tohoku-Oki earthquake, Nature, 475, 373-376; doi:10.1038/natu re10227.</mixed-citation><mixed-citation xml:lang="en">Ozawa S., T. Nishimura, H. Suito, T. Kobayashi, M. Tobita and T. Imakiire (2011). Coseismic and postseismic slip of the 2011 magnitude-9 Tohoku-Oki earthquake, Nature, 475, 373-376; doi:10.1038/natu re10227.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Shrivastava M.N., and C.D. Reddy (2013). The Mw 8.6 Indian Ocean earthquake on 11 April 2012: Coseismic displacement, Coulomb stress change and aftershocks pattern, Journal of the Geological Society of India, 81, 813-820.</mixed-citation><mixed-citation xml:lang="en">Shrivastava M.N., and C.D. Reddy (2013). The Mw 8.6 Indian Ocean earthquake on 11 April 2012: Coseismic displacement, Coulomb stress change and aftershocks pattern, Journal of the Geological Society of India, 81, 813-820.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Mohsen Shahrisvand, Mehdi Akhoondzadeh, Mohammad Ali Sharifi (2014) Detection of gravity changes before powerful earthquakes in GRACE satellite observations. doi.org/10.4401/ag-6612.</mixed-citation><mixed-citation xml:lang="en">Mohsen Shahrisvand, Mehdi Akhoondzadeh, Mohammad Ali Sharifi (2014) Detection of gravity changes before powerful earthquakes in GRACE satellite observations. doi.org/10.4401/ag-6612.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
