Eurasian Journal of Mathematical and Computer Applications
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Eurasian Journal of Mathematical and Computer Applications:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Eurasian Journal of Mathematical and Computer Applications, 2020, Volume 8, Issue 2, Pages 69–85
DOI: https://doi.org/10.32523/2306-6172-2020-8-2-69-85
(Mi ejmca159)
 

This article is cited in 1 scientific paper (total in 1 paper)

System-analytical modelling: 1. Development of regional models for mountain river runoff

Yu. Krista, A. Puzanov

Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences (IWEP SB RAS), 1, Molodezhnaya St., 656038 Barnaul, Altai Krai, Russian Federation
Abstract: The method of system-analytical modeling of complex natural systems is proposed to construct the regional simulation models of mountain river runoff. Using 34 mid-size and small rivers of the Altai-Sayan mountain country as a regional case study, a universal model of seasonal and long-term dynamics of the runoff was developed with good performance. To calculate the seasonal runoff, four hydrological periods were specified: winter low water, spring-summer flood, summer low water, and autumn low water. In the model, the hydrological regime of river basins is divided into 13 standard types that correspond to the selected groups of geo systems (landscapes). Each type of regime depends on six input factors (precipitation and air temperature for the previous and current seasons, the area and elevation of landscapes) and is characterized by three parameters at the most for each season. The proposed hydrological model deals with spatially generalized monthly dynamics of air temperature and precipitation expressed in percent of specified long-term mean values. Therefore, it can be applied for any river basin of the country even under the lack of meteorological information. It also uses GIS information on the relief and landscape structures of river basins. A well-behaved version of RMSE-Standard deviation Ratio (RSR) is applied to assess the model adequacy
Keywords: Runoff, mountain rivers, system-analytical modeling, GIS, flood, low water, Altai-Sayan.
Bibliographic databases:
Document Type: Article
Language: English
Citation: Yu. Krista, A. Puzanov, “System-analytical modelling: 1. Development of regional models for mountain river runoff”, Eurasian Journal of Mathematical and Computer Applications, 8:2 (2020), 69–85
Citation in format AMSBIB
\Bibitem{KriPuz20}
\by Yu.~Krista, A.~Puzanov
\paper System-analytical modelling: 1. Development of regional models for mountain river runoff
\jour Eurasian Journal of Mathematical and Computer Applications
\yr 2020
\vol 8
\issue 2
\pages 69--85
\mathnet{http://mi.mathnet.ru/ejmca159}
\crossref{https://doi.org/10.32523/2306-6172-2020-8-2-69-85}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000543280900005}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85087039557}
Linking options:
  • https://www.mathnet.ru/eng/ejmca159
  • https://www.mathnet.ru/eng/ejmca/v8/i2/p69
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Eurasian Journal of Mathematical and Computer Applications
    Statistics & downloads:
    Abstract page:166
    Full-text PDF :50
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024