Manmade pollution assessment in water bodies in Yakutia using color response curves and satellite images

Pollution of water bodies in the Republic of Sakha (Yakutia) is assessed after failure of 4 dredging dams at Irelyakh placer in August 2018, which has caused large-scale pollution of the Irelyakh, Malaya Botuobia and Vilyui Rivers which supply drink water to 4 residential areas in Yakutia. The accident adversely damaged the water ecosystems (MAC of suspended matter was exceeded by more than 700 times). By estimates of the Ministry of Ecology of the Republic, the economic damage amounted to 5 billion rubles. It is known that northern ecology recovers much slower than in the moderate climate areas. The river water pollution was assessed by the method of spectral analysis of satellite images in ENVI environment. After synthesizing SWIR–NIT–RED channels of interpreted satellite images Landsat TM7 and 8 OLI, the water flow pollution assessment is implemented using AMWI (Acid Mine Water Index) in two variants: concentration of suspended matter and variation in iron content of water. The proposed procedure is applicable for prompt assessment of damage caused by emergencies, pollution tracing in hard-to-reach areas in the North and in the Arctic, advanced warning of population on worsening of ecological satiation and for early prevention and precaution. It is should be mentioned that the loss due to the mentioned environmental disaster remains unretrieved despite the broad public response.

Keywords: remote earth sensing data, color response curves, satellite images, water pollution, ENVI, dam failure, AMWI, synthesis of SWIR–NIR–RED channels, water turbidity.
For citation:

Tikhonova S. A., Struchkova G. P., Kapitonova T. A. Manmade pollution assessment in water bodies in Yakutia using color response curves and satellite images. MIAB. Mining Inf. Anal. Bull. 2021;(12-1):213—222. [In Russ]. DOI: 10.25018/0236_1493_2021_121_0_213.

Acknowledgements:
Issue number: 12
Year: 2021
Page number: 213-222
ISBN: 0236-1493
UDK: 504.054
DOI: 10.25018/0236_1493_2021_121_0_213
Article receipt date: 18.07.2021
Date of review receipt: 19.10.2021
Date of the editorial board′s decision on the article′s publishing: 10.11.2021
About authors:

Tikhonova S. A.1, Lead Engineer, sardankobeleva@gmail.com;
Struchkova G. P.1, Cand. Sci. (Eng.), Leading Researcher, pandoramy8@list.ru;
Kapitonova T. A.1, Cand. Sci. (Phys.-mat.), Leading Researcher, kapitonova@iptpn.ysn.ru;
1 FRC “The Yakut Scientific Centre of SB RAS”, Larionov Institute of the PhysicalTechnical Problems of the North, Siberian Branch of the Russian Academy of Sciences. 677980, Yakutsk, Russia;

 

For contacts:

Struchkova G. P., e-mail: pandoramy8@list.ru.

Bibliography:

1. Berezina O. A., Shikhov A. N., Abdullin R. K. The use of multi-temporal satellite images for environmental assessment in coal mining areas (by closed kizel coal basin). Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, no. 2, pp. 144—158. DOI: 10.21046/2070-7401-2018-15-2-144—158. [In Russ].

2. Bukanov V. I. Organization and results of satellite monitoring of oil pollution in the southeastern part of the Baltic Sea. Geomatics, 2011, Vol. 10, no. 1, pp. 55—57. [In Russ].

3. Chuanmin Hu. Remote detection of marine debris using satellite observations in the visible and near infrared spectral range. Challenges and potentials Remote Sensing of Environment. 2021. Vol. 259, 15 June 2021, DOI 112414.

4. Christopher B. Obida, George A. Blackburn, James D. Whyatt , Kirk T. Semple. Counting the cost of the Niger Delta’s largest oil spills. Science of The Total Environment, 2021, Volume 775, 25 June 2021, DOI 145854.

5. Shikhov A. N., Gerasimov A. P., Ponomarchuk A. I., Perminova E. S. Thematic decoding and interpretation of satellite images of medium and high spatial resolution [Electronic resource]: textbook. Perm, 2020. Perm State National Research University. Electronic data. Perm, 2020 49.6, 191 p.: http://www.psu.ru/files/docs/science/books/ uchebnie-posobiya/shikhov-gerasimov-ponomarchuk-perminova-tematicheskoedeshifrirovanie-i-interpretaciya-kosmicheskih-snimkov.pdf. [In Russ].

6. Zhukov D. V. Spectral features for identification of typical pollution of sea water from aviation and space survey data. Optika atmosfery i okeana. 2016, no. 7, pp. 560—565. [In Russ].

7. Mazurova V. E. Ocenka ekologicheskogo riska posledstvij zagryazneniya poverhnostnyh vod s ispol’zovaniem materialov distancionnogo zondirovaniya [Assessment of the environmental risk of the consequences of surface water pollution using remote sensing materials]. Abstract account. Art. Cand. tech. sciences. MGU, Moscow, 2009, 25 p. [In Russ].

8. Oparin V. N., Potapov V. P., Giniyatullina O. L., Andreeva N. V. Monitoring of pollution of the water basin of active coal mining areas using remote sensing data. Journal of Mining Science, 2012, no. 5, pp. 181—188. [In Russ].

9. Zehra Yigit Avdan, Gordana Kaplan, Serdar Goncu, Ugur Avdan. Monitoring the water quality of small water bodies using high-resolution remote sensing data. ISPRS International Journal of Geo-Information. 2019, 8, 553; DOI: 10.3390/ijgi8120553.

10. Simon N. Topp, Tamlin M. Pavelsky, Daniel Jensen, Marc Simard and Matthew R. V. Ross. Research trends in the use of remote snsing for inland water quality science: moving towards multidisciplinary applications. Water 2020, 12, 169; DOI: 10.3390/w12010169.

11. Rei Liu, Tao Xie, Qiao Wang , Honghua LI. Space-earth based integrated monitoring system for water environment. International Society for Environmental Information Sciences 2010 Annual Conference (ISEIS) Published by Elsevier. DOI:10.1016/j.proenv.2010.10.141

12. Ni-Bin Chang, Sanazimen, Benjamin Vannah. Remote Sensing for Monitoring Surface Water Quality status sand ecosystems state in relation to the nutrient cycle: A 40-year perspective. Critical Reviews in Environmental Science and Technology, 45:101–166, 2015. DOI: 10.1080/10643389.2013.829981

13. Potapov V. P., Giniyatullina O. L., Andreeva N. V. Use of Earth remote sensing data to assess anthropogenic impact on water bodies. MIAB. Mining Inf. Anal. Bull. 2013. no. S6. pp. 475—481. [In Russ].

14. https://minpriroda.sakha.gov.ru/news/front/view/id/2937010

15. Kapitonova T. A., Tikhonova S. A., Struchkova G. P. Using the spectral characteristics of satellite data to assess water pollution on the Vilyui river. Safety and Emergencies Problems, 2020, no. 6, pp. 22—29. DOI: 10.36535/0869—4176—2020—06—2.

16. Tokareva O. S. Obrabotka i interpretaciya dannyh distancionnogo zondirovaniya Zemli [Processing and interpretation of Earth remote sensing data]: a tutorial. Tomsk: Izd-vo Tomskogo politekhnicheskogo universiteta, 2010, 111 p. [In Russ].

17. Yan C., Liu R., Liu S., Wu L., Liu S., Study of remote sensing index indicators about the mine environment evaluation, International Geoscience and Remote Sensing Symposium, 2004 (IGARSS’04), Proceedings, 2004, Vol. 1, pp. 579–581.

18. Kapitonova T. A., Tikhonova S. A., Struchkova G. P. Using the spectral characteristics of satellite data to assess water pollution on the Vilyui river. Safety and Emergencies Problems, 2020, no. 6, pp. 22—29. DOI: 10.36535/0869-4176-2020-06-2. In Russ.

Our partners

Подписка на рассылку

Раз в месяц Вы будете получать информацию о новом номере журнала, новых книгах издательства, а также о конференциях, форумах и других профессиональных мероприятиях.