| Issue |
MATEC Web Conf.
Volume 265, 2019
International Geotechnical Symposium “Geotechnical Construction of Civil Engineering & Transport Structures of the Asian-Pacific Region” (GCCETS 2018)
|
|
|---|---|---|
| Article Number | 03007 | |
| Number of page(s) | 6 | |
| Section | Geotechnical Monitoring and Prognosis of Emergency Situations | |
| DOI | https://doi.org/10.1051/matecconf/201926503007 | |
| Published online | 30 January 2019 | |
Flood risk management on Sakhalin Island
1
Far East Geological Institute Sakhalin Department FEB RAS, Yuzhno-Sakhalinsk, Russia
2
Special Design Bureau for Marine Research Automation Tools of the Far Eastern Branch of the Russian Academy of Sciences, Yuzhno-Sakhalinsk, 694023, Russia
3
Autonomous Non-Commercial Organization Scientific Research Centre “Geodynamiks”, Yuzhno-Sakhalinsk, Russia
4
Far Eastern State Transport University, Khabarovsk, Russia
* Corresponding author: gensiorovskiy@mail.ru
The paper considers the flooding factors of urbanized territories on the Sakhalin island in the typhoons and deep cyclones evens. According to observations of the hydrological regime, floods caused by melting snow usually capture only a small part of the territory of the urban district. In the summer-autumn period, the formation of floods is associated with a large amount of precipitation during the passage of deep cyclones and typhoons over the Sakhalin island territory. Measures are proposed to reduce flooding risks at the town planning documentation development stage.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.