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Colorimetric Parameters Modeling of Test Micro-Ecosystems for Lands Pollution Remote Sensing

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper describes a methodology of determining the toxicity sources, using bioassay based on the wildlife objects that change their colorimetric parameters under the influence of toxic factors. The work explores the dynamism of the colorimetric attributes associated with plant pigments. It can be determined by computer processing of the data obtained from digital remote sensing of the lands affected by toxic pollution by means of such relatively low-cost and straightforward methods as digital photography from an aircraft or a drone. The results obtained do not allow direct measurements but rather serve as a basis for the development and characterization of new biomarkers.
Rocznik
Strony
161--168
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
  • Dept. of Radio-Electronic and Biomedical Computerized Means and Technologies, National Aerospace University Kharkiv Aviation Institute, Chkalova St, 17 Kharkiv, Ukraine
  • Dept. of Geoinformation Technologies And Space Monitoring of the Earth, National Aerospace University Kharkiv Aviation Institute, Chkalova St, 17 Kharkiv, Ukraine
  • Dept. of Public Authority аnd Entrepreneurship, National Aerospace University Kharkiv Aviation Institute, Chkalova St, 17 Kharkiv, Ukraine
  • Dept. of Chemistry, Ecology and Technology Expertise, National Aerospace University Kharkiv Aviation Institute, Chkalova St, 17 Kharkiv, Ukraine
  • East Kazakhstan State Technical University named after D.Serikbayev, Naberezhnaya Krasnykh Orlov 69, 070000, Ust-Kamenogorsk, Kazakhstan
  • Department of Electronics and Information Technology, Lublin University of Technology, Nadbystrzycka 38a, 20-618 Lublin, Poland
  • Institute of Information and Computational Technologies CS MES RK, Pushkina 125 Almaty, Kazakhstan
  • Kazakh National Research Technical University named after K.I. Satpayev, Satpaev St 22a, Almaty 050000, Kazakhstan
Bibliografia
  • 1. Balym Yu., Georgiyants M., Vуsotska O., Pecherska A., Porvan A. 2017. Mathematical modeling of the colorimetric parameters for remote control over the state of natural bioplato. Eastern-European Journal of Enterprise Technologies, 4(10), 29–36.
  • 2. Beliaeva O.I. 2012. On the contamination of storm drains entering the coastal zone of the Black Sea (review in Russian). Scientific notes of Taurida National University named after V.I. Vernadsky. Series “Geography”, 25(2), 20–27.
  • 3. Bykh A. I, Porvan A. P., Petrenko A. S, Bespalov Yu.G., Kalashnikova V. I. 2016. Modeling the dynamics of colorimetric parameters of phytobenthos puddles as a tool for remote determination of the localization of sources of rainwater intoxication sources (in Russian). Materials XII International Scientific and Practical Conference “Scientific Industry of the European Continent-2016” 27 November – 05 December 2016, 65–70.
  • 4. Greben, A.S., Trofimchuk, A.N. 2018. Assessment of the impact of solid runoff from agricultural areas on the environmental performance of adjacent water bodies. Matematychne modelyuvannya v ekonomici, 4(13), 27–34.
  • 5. Greben, A.S., Trofimchuk, A.N. 2018. Features of reservoirs eutrophication by elements of agrochemical fertilizers. Ekologichna bezpeka ta pryrodokorystuvannya, 4(28), 65–70.
  • 6. Klochko T. A. 2013. Environmental problems of the oil and gas complex (in Ukranian). Applied aspects of technogenic and ecological safety: collection of abstracts All-Ukrainian scientific-practical conference. National University of Civil Defense of Ukraine. Kharkiv: NUTCZU, 194–196.
  • 7. Nosov K, Zholtkevych G., Georgiyants M. , Vysotska O. 2017. Development of the descriptive binary model and its application for identification of clumps of toxic cyanobacteria. Eastern-European Journal of Enterprise Technologies, vol 4, 4(88), 4–11.
  • 8. Nosov K., Zholtkevych G., Bespalov Y., Mair Q. 2015. Biosafety issues of eutrophicated sources of drinking-water supply in relation to the risk of mass development of toxic cyanobacteria: model of stability factors of zooplankton. Koncept 1(9) 1–5.
  • 9. Vysotskaya, E. V., Zholtkevych G. N., Klochko T. A., Bespalov Y. G., Nosov K. V. 2016. Unmasking the soil cover’s disruption by modeling the dynamics of ground vegetation parameters. Bulletin of the National Technical University of Ukraine “KPI”. Series – Radio Engineering. Radio equipment 64, 101–109.
  • 10. Zagorodnia S.A., Novokhatska N.A., Okhariev V.O., Popova M.A., Radchuk I.V., Trysnyuk T.V., Shumeiko V.O., Atrasevych O.V. 2018. GIS-based assessment of anthropogenic influence in western polissya region limnological ecosystem. Ekologichna bezpeka ta pryrodokorystuvannya, 2(26), 23–33.
  • 11. Zholtkevych G. N. Bespalov Y. G., Nosov K. V., Abhishek M. 2013. Discrete Modeling of Dynamics of Zooplankton Community at the Different Stages of an Antropogeneous Eutrophication. Acta Biotheoretica, 61(4), 449–465.
  • 12. Zholtkevych G. N. Nosov K. V., Bespalov Yu. G. 2018. Descriptive Modeling of the Dynamical Systems and Determination of Feedback Homeostasis at Different Levels of Life Organization. Acta Biotheoretica 66, 1–23.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-572941c5-342e-4006-a808-50db59719446
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