Preview

Vestnik of North-Eastern Federal University Series "Earth Sciences"

Advanced search

Natural drivers of high floods in the middle reach of the Amga River, Central Yakutia

https://doi.org/10.25587/SVFU.2022.27.3.006

Abstract

Major flooding in the middle Amga River occurs in late spring, early to mid-May. Spring flood is the main hydrological season in the middle and lower reaches of the Amga River, marked with the annual maximum of the level and discharge of water at the Amga hudropost. In the last decade, spring freshet peak was observed in first 10 days of May, which was 6-8 days earlier than average. The Amga River channel in its middle reaches hosts multiple fluvial forms – potential ice jam concentrators, i.e. shallows and sharp channel bends, but ice jam floods are not observed annually. The weather conditions of the high water period can play a decisive role in the formation of floods, simultaneously favoring rapid snowmelt in the upper reaches of the river and the formation of jams in the middle reaches. A criterial analysis showed higher snow accumulation in the upstream catchment section, lower air temperature in the last 10 days of April and higher air pressure in mid-May in central Yakutia in the years with high floods in the middle Amga River reaches. Most floods were observed in the years with total winter precipitation over 120 mm in the upper part of the catchment. Ice thickness appear to have no influence on the ice jam probability of occurrence. Maximum water stage with return period of 100 years, calculated using ‘peak-over-threshold’ approach, is 145.91 m, and with return period of 1000 years – 146.88 m.

About the Authors

N. I. Tananaev
Melnikov Permafrost Institute, Siberian Branch, Russian Academy of Sciences; M.K. Ammosov North-Eastern Federal University
Russian Federation

TANAEV Nikita Ivanovich – Candidate of Geographical Sciences, Leading Researcher

Yakutsk



N. A. Nakhodkin
ROSSOYUZSPAS, Yakutsk Regional Division
Russian Federation

NAKHODKIN Nikolay Aleksandrovich – Candidate of Biological Sciences, Head

Yakutsk



A. O. Golovanov
M.K. Ammosov North-Eastern Federal University
Russian Federation

GOLOVANOV Aleksey Olegovich – Senior Lecturer, Department of Ecology and Geography, Institute of Natural Sciences

Yakutsk



References

1. Gosudarstvennyj doklad “O sostojanii i ispol’zovanii vodnyh resursov Rossijskoj Federacii v 2018 g.”. – M.: NIA-Priroda, 2019. – 290 s.

2. Dobrovol’skij S.G. Harakteristika navodnenij na territorii Rossii po prirodnym i social’no-jekonomicheskim parametram / S.G. Dobrovol’skij, M.N. Istomina // Vodnye resursy. – 2009. – tom 36, № 5. – S. 515–531.

3. Tananaev N., Efremova V.A., Gavrilyeva T., Parfenova O. Assessment of the community vulnerability to extreme spring floods: the case of the Amga River, central Yakutia, Siberia // Hydrology Research. – 2021. – Vol. 52, No. 1. - P. 125-141.

4. Parfenova O.T. Jekonomicheskaja ocenka i vozmeshhenie ushherba ot navodnenij na severnyh rekah Respubliki Saha (Jakutija): diss. k.je.n. – Parfenova Ol’ga Terent’evna. – Jakutsk: SVFU, 2017. – 168 s.

5. AHYST.Lena. Arctic hydrology and statistics data or the Lena River basin. Compilative dataset on mean annual and extreme flows in the Lena River basin (compiled by Makarieva O., Tananaev N., Lebedeva L.), figshare, version 1.2 (12 August 2019). doi:10.6084/m9.figshare.3206962.

6. Avtomatizirovannaja informacionnaja sistema gosudarstvennogo monitoringa vodnyh ob#ektov (AIS GMVO) [Jelektronnyj resurs]. – Rezhim dostupa: https://gmvo.skniivh.ru. – (data obrashhenija: 14.12.2021).

7. RStudio Team. RStudio: Integrated Development for R, v.1.2.5042. 2020. RStudio, Inc., Boston, MA, USA. [Jelektronnyj resurs]. – Rezhim dostupa: http://www.rstudio.com/. – (data obrashhenija: 14.12.2021).

8. R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2020. [Jelektronnyj resurs]. – Rezhim dostupa: https://www.R-project.org/ – (data obrashhenija: 14.12.2021).

9. Wickham H., Averick M., Bryan J., Chang W., McGowan L., François R., Grolemund G., Hayes A., Henry L., Hester J., Kuhn M., Pedersen T.L., Miller E., Bache S.M., Müller K., Ooms J., Robinson D., Seidel D.P., Spinu V., Takahashi K., Vaughan D., Wilke C., Woo K., Yutani H. Welcome to the tidyverse // Journal of Open Source Software. – 2019. – Vol. 4(43), 1686. doi:10.21105/joss.01686.

10. Kalnay E., Kanamitsu M., Kistler R., Collins W., Deaven D., Gandin L., Iredell M., Saha S., White G., Woollen J., Zhu Y., Chelliah M., Ebisuzaki W., Higgins W., Janowiak J., Mo K.C., Ropelewski C., Wang J., Leetmaa A., Reynolds R., Jenne R., Joseph D. The NCEP/NCAR 40-Year Reanalysis Project // Bulletin of the American Meteorological Society. – 1996. – Vol. 77, № 3. – R. 437–471.

11. Kemp M.U., van Loon E.E., Shamoun-Baranes J., Bouten W. RNCEP: global weather and climate data at your fingertips // Methods in Ecology and Evolution. – 2012. – № 3. – P. 65-70.

12. Pohlert T. trend: Non-Parametric Trend Tests and Change-Point Detection. R package version 1.1.2. – 2020.

13. Samohin M.A. Geneticheskie osobennosti formirovanija urovennogo rezhima rek v razlichnyh regionah Rossii: diss. k.g.n. – Samohin Mihail Alekseevich. – M.: MGU, 2006. – 113 s.

14. Alekseevskij N.I. Prostranstvenno-vremennaja izmenchivost’ urovnej vody v ruslah rek / N.I. Alekseevskij, M.A. Samohin // Uchenye zapiski RGGMU. – 2007. – № 5. – S. 21–28.

15. Buzin V.A. Zatory i zazhory na rekah Rossii. – Sankt-Peterburg: GGI, 2016. – 240 s.

16. Opasnye ledovye javlenija na rekah i vodohranilishhah Rossii / pod red. D.V. Kozlova. – M.: Izd-vo RGAU-MSHA im. K.A. Timirjazeva, 2015. -348 s.

17. Kontar Y., Eichelberger J., Gavrilyeva T., Filippova V., Savvinova A., Tananaev N., Trainor S. Springtime flood risk reduction in rural Arctic: a comparative study of interior Alaska, United States and Central Yakutia, Russia // Geosciences. – 2018. – Vol. 8, 90. doi:10.3390/geosciences8030090.

18. Zaitsev A., Belikov V., Tananaev, N. Spring ice processes on rivers of North-Eastern Russia, Seventh International Conference and Exhibition on Performance of Ships and Structures in Ice (ICETECH06), 16–19 July, Banff, Canada, p. 6.

19. Bykov A.A. Statisticheskie metody prognozirovanija riska chrezvychajnyh situacij. – M.: Ankil, 2014. – 155 s.

20. Langbein W.B. Annual floods and the partial-duration flood series // Eos, Transactions AGU. – 1949. – Vol. 30(6). – P. 879–881. doi:10.1029/TR030i006p00879.


Review

For citations:


Tananaev N.I., Nakhodkin N.A., Golovanov A.O. Natural drivers of high floods in the middle reach of the Amga River, Central Yakutia. Vestnik of North-Eastern Federal University Series "Earth Sciences". 2022;(3):61-75. (In Russ.) https://doi.org/10.25587/SVFU.2022.27.3.006

Views: 267


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2587-8751 (Online)