Comparison of the hydrological and meteorological project implementations in the different countries
| dc.contributor.author | Sagintayev, Zhanay | |
| dc.date.accessioned | 2018-05-28T05:09:17Z | |
| dc.date.available | 2018-05-28T05:09:17Z | |
| dc.date.issued | 2018-04-13 | |
| dc.description.abstract | Climatic and anthropogenic distortions have impacted the enviroment and increased the probabilities of disaster events worldwide, including Kazakhstan. Water resources in Central Asia are generated at high mountains with snow and glacier melt dominating the flow regime. Increasing temperatures at higher elevations will have an impact on the snow and glacier melting process and this will change the flow regime of Kazakhstan, Central Asian Rivers. A combination of different modeling techniques, including regional climate monitoring, hydrological, hydro-geological, river hydraulics, geothechnical, debris flows, landslides, Artificial Neural Networks (ANN) modeling tools are helpful for prediction analysis and disaster event preparation activities. Some of these modeling techniques are reviewed in this article. | en_US |
| dc.identifier.citation | Sagintayev, Zhanay. (2018) Comparison of the hydrological and meteorological project implementations in the different countries. International Scientific and Practical Conference "Geosystemic approach to the study of the natural environment of the Republic of Kazakhstan". II Volume. 33 page. | en_US |
| dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/3187 | |
| dc.language.iso | en | en_US |
| dc.publisher | Nazarbayev University School of Engineering and Digital Sciences | en_US |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
| dc.subject | water resources | en_US |
| dc.subject | Central Asia | en_US |
| dc.subject | Central Asian Rivers | en_US |
| dc.title | Comparison of the hydrological and meteorological project implementations in the different countries | en_US |
| dc.type | Conference Paper | en_US |
| workflow.import.source | science |