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.

Identyfikatory

DOI

10.12911/22998993/79419

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

hydrological model; flood forecasting; river basins; changing climate

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2018
• Tom: Vol. 19, nr 1
• Strony: 177--185
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Sokolova D.

• Russian State Hydrometeorological University, Malookhtinsky 98, Saint Petersburg 195196, Russia

autor

Kuzmin V.

• Russian State Geological Prospecting University, Miklouho-Maklay’s St. 23, Moscow 17997, Russia

autor

Batyrov A.

• Russian State Hydrometeorological University, Malookhtinsky 98, Saint Petersburg 195196, Russia

autor

Pivovarova I.

• Saint-Petersburg Mining University, 2, 21 Line, Vasilievsky Island, Saint Petersburg, 199026, Russia

autor

Tran N. A.

• VNU University of Science, Vietnam National University (VNU), 334 Nguyen Trai, Thanh Xuan, Hanoi, Vietnam

autor

Dang D.

• VNU University of Science, Vietnam National University (VNU), 334 Nguyen Trai, Thanh Xuan, Hanoi, Vietnam

autor

Shemanaev K. V.

• Russian State Hydrometeorological University, Malookhtinsky 98, Saint Petersburg 195196, Russia

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).