vmaitComputational Mathematics and Information TechnologiesComputational Mathematics and Information Technologies2587-8999Донской государственный технический университет10.23947/2587-8999-2017-2-128-140vmait-86Research ArticleСтатьиИспользование многоканальных космических снимков для предсказательного моделирования процессов «цветения» фитопланктонных водорослей в мелководных водоемах на супер-ЭВМUsing multichannel satellite images for predictive modelling the «bloom» phytoplankton processes in shallow waters on supercomputerhttps://orcid.org/0000-0002-5875-1523СухиновАлександр ИвановичSukhinovAlexander Ivanovich

Сухинов Александр Иванович, проректор по НИР и инновационной деятельности, Донской государственный технический университет (344000 Ростов-на-Дону, пл. Гагарина, д. 1), доктор физико-математических наук, профессор

Sukhinov Alexander Ivanovich, Vice Rector for Research and Innovative Activity, Don State Technical University (1st Gagarin Square, Rostov-on-Don, Russian Federation), Doctor of Science in Physics and Maths, Professor

sukhinov@gmail.comhttps://orcid.org/0000-0001-7257-962XНикитинаАлла ВалерьевнаNikitinaAlla Valerievna

Никитина Алла Валерьевна, Научно-исследовательский институт многопроцессорных вычислительных систем имени академика А.В. Каляева Южного федерального университета (347928 Таганрог, ул. Чехова, д. 2), доктор технических наук, доцент

Nikitina Alla Valerievna, Scientific Research Institute of Multiprocessor Computer Systems named after Academician Kalyaev Southern Federal University (2d Chekhov St., Taganrog, Russian Federation), Doctor of Technical Sciences, Associate professor

nikitina.vm@gmail.comhttps://orcid.org/0000-0002-8323-6005ЧистяковАлександр ЕвгеньевичChistyakovAlexander Evgenievich

Чистяков Александр Евгеньевич, Донской государственный технический университет (344000 Ростов-на-Дону, пл. Гагарина, д. 1), доктор физико-математических наук, профессор

Chistyakov Alexander Evgenievich, Don State Technical University (1st Gagarin Square, Rostov-on-Don, Russian Federation), Doctor of Science in Physics and Maths, Professor

cheese_05@mail.ruДонской государственный технический университет (344000 Ростов-на-Дону, пл. Гагарина, д. 1)РоссияDon State Technical University (1st Gagarin Square, Rostov-on-Don, Russian Federation)Russian FederationНаучно-исследовательский институт многопроцессорных вычислительных систем имени академика А.В. Каляева Южного федерального университета (347928 Таганрог, ул. Чехова, д. 2)РоссияScientific Research Institute of Multiprocessor Computer Systems named after Academician Kalyaev Southern Federal University (2d Chekhov St., Taganrog, Russian Federation)Russian Federation2017290320231286Copyright © Сухинов А.И., Никитина А.В., Чистяков А.Е., 20232023Сухинов А.И., Никитина А.В., Чистяков А.Е.Sukhinov A.I., Nikitina A.V., Chistyakov A.E.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.cmit-journal.ru/jour/article/view/86

Целью работы является разработка и исследование математической модели процессов «цветения» фитопланктонных водорослей, вызывающих заморные явления в мелководных водоёмах на основе современных информационных технологий и вычислительных методов. Для калибровки и верификации разработанной модели использовались экспедиционные данные и многоканальные космические снимки дистанционного зондирования Земли, полученные НИЦ «Планета». При параллельной реализации были использованы методы декомпозиции сеточных областей для вычислительно трудоемких задач, учитывающие архитектуру и параметры многопроцессорной вычислительной системы.

The paper covers the development and research of mathematical models of «bloom» phytoplankton processes, that cause hypoxic phenomena in shallow waters, on the basis of modern information technologies and computational methods. Expedition data and multichannel satellite images of remote sensing obtained by the SRC «Planet» are used for calibration and verification of the developed model. The methods of domain decomposition was used in a parallel implementation for computationally labours problems, taking into account the architecture and parameters of multiprocessor computer system.

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The authors declare that there are no conflicts of interest present.