Method of Prediction the Stream Flows in Poorly Gauged and Ungauged Basins
| Autor: | Ngoc-Anh Tran, Inna Pivovarova, Vadim Kuzmin, Artur Batyrov, Daria Sokolova, Kirill V. Shemanaev, DinhKha Dang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
lcsh:GE1-350
mathematic model parametrization Structural basin ungauged basin lcsh:TD1-1066 hydrological prediction Environmental science lcsh:Environmental technology. Sanitary engineering hydrometeorological survey Parametrization Geomorphology basins Ecology Evolution Behavior and Systematics lcsh:Environmental sciences General Environmental Science |
| Zdroj: | Journal of Ecological Engineering, Vol 20, Iss 1, Pp 180-187 (2019) |
| ISSN: | 2299-8993 |
| Popis: | Underlying principles and content of new technology for automated hydrological predictions of poorly gauged and ungauged basins were reviewed herein. Basins classification principles depending on availability and spatial-temporal discreteness of observations of meteorological and hydrological variables were proposed. The prediction procedure for large river systems insufficiently covered by hydrometeorological survey was outlined. Prediction methodology for Sông Sê San river basin, which is the left tributary of Mekong river, was tested. Possible options for preliminary calibration and validation of MLCM3 predictive model (Multi-Layer Conceptual Model, 3rd generation), developed within the framework of set task, were described. The software, implementing the streamflow prediction method for ungauged and poorly gauged special basins of large rivers tributaries, was tested. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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