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Wyszukujesz frazę "hydrological model" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Use of MLCM3 Software for Flash Flood Modeling and Forecasting
Autorzy:
Sokolova, D.
Kuzmin, V.
Batyrov, A.
Pivovarova, I.
Tran, N. A.
Dang, D.
Shemanaev, K. V.
Powiązania:
https://bibliotekanauki.pl/articles/124618.pdf
Data publikacji:
2018
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
hydrological model
flood forecasting
river basins
changing climate
Opis:
Accurate and timely flash floods forecasting, especially, in ungauged and poorly gauged basins, is one of the most important and challenging problems to be solved by the international hydrological community. In changing climate and variable anthropogenic impact on river basins, as well as due to low density of surface hydrometeorological network, flash flood forecasting based on “traditional” physically based, or conceptual, or statistical hydrological models often becomes inefficient. Unfortunately, most of river basins in Russia are poorly gauged or ungauged; besides, lack of hydrogeological data is quite typical. However, the developing economy and population safety necessitate issuing warnings based on reliable forecasts. For this purpose, a new hydrological model, MLCM3 (Multi-Layer Conceptual Model, 3rd generation) has been developed in the Russian State Hydrometeorological University. The model showed good results in more than 50 tested basins.
Źródło:
Journal of Ecological Engineering; 2018, 19, 1; 177-185
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Method of Prediction of the Stream Flows in Poorly Gauged and Ungauged Basins
Autorzy:
Kuzmin, Vadim
Pivovarova, Inna
Shemanaev, Kirill
Sokolova, Daria
Batyrov, Artur
Tran, Ngoc Anh
Dang, DinhKha
Powiązania:
https://bibliotekanauki.pl/articles/123090.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
hydrological prediction
basin
mathematic model
parametrization
ungauged basin
hydrometeorological survey
Opis:
The underlying principles and content of new technology for automated hydrological predictions of poorly gauged and ungauged basins were reviewed herein. Basin classification principles depending on the availability and spatial-temporal discreteness of the observations of meteorological and hydrological variables were proposed. The prediction procedure for large river systems insufficiently covered by hydrometeorological survey was outlined. The prediction methodology for Sông Sê San river basin, which is the left tributary of Mekong river, was tested. The 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.
Źródło:
Journal of Ecological Engineering; 2019, 20, 1; 180-187
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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