Sunday, 3 November 2024 г. 04:38 Make home page | Bookmark site | RSS Feedback | RUSSIAN
ИА «Тува-Онлайн»
» Electric Model of the River System Helps to Predict Floods
Personal office
Login:
password:
Register
Lost password?


Archive
«    August 2003    »
MoTuWeThFrSaSu
 123
45678910
11121314151617
18192021222324
25262728293031
Links
электронный журнал "Новые исследования Тувы"

Electric Model of the River System Helps to Predict Floods

An electric model of the river system of the Republic was created in the Tuvan Institute of Complex Natural Resources Development of the Siberian Branch of the Russian Academy of Sciences. The work was done by Tuvan scientists within the framework of the republican program Power Resources of the Republic of Tuva. The newly created system makes it possible to predict the development of various hydrological processes in various climatic situations. Some of the data processed has predicted an unfavorable forecast of changes in the Yenisei River up to the year 2020. If the current decrease of water in the Yenisei continues, the river will cease to be navigable by 2020. Scientists are assuming that the reason for this process is climatic global warming. As a result of this warming, underground structures of the rivers are being destroyed by changes in the characteristics of deposits, which leads to the shallowing of the rivers. This same situation is also characteristic of another Siberian river, the Lena.

Dina Oyun
Notice
New comments for news item are allowed for 365 days after publication.
Event announces

Top read

    © 2001–2024, "Tuva-Online" News & Information Agency    
    advertising with Tuva-Online
    All rights reserved.
    Republishing, redistributing or syndicating without direct reference to Tuva-Online is prohibited.
    Quotes on Internet-sites are allowed only with hyperlink to http://en.tuvaonline.ru.
    12+
    Founded on August 15, 2001
    Registered in the Ministry for press of Russian Federation.
    Certificate Эл №77-6060 issued on February 22, 2002
    Рейтинг@Mail.ru
    Rambler's Top100 Яндекс цитирования