Standard

Modeling of runoff formation processes in mountain conditions of the Crimean Peninsula (Russia). / Zemlyanskova, A.; Makarieva, O.; NESTEROVA , N.; Fedorova, A.

2020. 01014 Реферат от 4th Vinogradov Conference on Hydrology: from Learning to Worldview in Memory of Outstanding Russian Hydrologist Yury Vinogradov, VC 2020, Saint-Petersburg, Российская Федерация.

Результаты исследований: Материалы конференцийтезисыРецензирование

Harvard

Zemlyanskova, A, Makarieva, O, NESTEROVA , N & Fedorova, A 2020, 'Modeling of runoff formation processes in mountain conditions of the Crimean Peninsula (Russia).', 4th Vinogradov Conference on Hydrology: from Learning to Worldview in Memory of Outstanding Russian Hydrologist Yury Vinogradov, VC 2020, Saint-Petersburg, Российская Федерация, 20/03/20 - 27/03/20 стр. 01014. https://doi.org/10.1051/e3sconf/202016301014

APA

Zemlyanskova, A., Makarieva, O., NESTEROVA , N., & Fedorova, A. (2020). Modeling of runoff formation processes in mountain conditions of the Crimean Peninsula (Russia).. 01014. Реферат от 4th Vinogradov Conference on Hydrology: from Learning to Worldview in Memory of Outstanding Russian Hydrologist Yury Vinogradov, VC 2020, Saint-Petersburg, Российская Федерация. https://doi.org/10.1051/e3sconf/202016301014

Vancouver

Zemlyanskova A, Makarieva O, NESTEROVA N, Fedorova A. Modeling of runoff formation processes in mountain conditions of the Crimean Peninsula (Russia).. 2020. Реферат от 4th Vinogradov Conference on Hydrology: from Learning to Worldview in Memory of Outstanding Russian Hydrologist Yury Vinogradov, VC 2020, Saint-Petersburg, Российская Федерация. https://doi.org/10.1051/e3sconf/202016301014

Author

Zemlyanskova, A. ; Makarieva, O. ; NESTEROVA , N. ; Fedorova, A. / Modeling of runoff formation processes in mountain conditions of the Crimean Peninsula (Russia). Реферат от 4th Vinogradov Conference on Hydrology: from Learning to Worldview in Memory of Outstanding Russian Hydrologist Yury Vinogradov, VC 2020, Saint-Petersburg, Российская Федерация.6 стр.

BibTeX

@conference{9e95b487439944989da7cb1c19ba22a1,
title = "Modeling of runoff formation processes in mountain conditions of the Crimean Peninsula (Russia).",
abstract = "The distributed hydrological model Hydrograph was applied to simulate runoff formation processes in the mountainous conditions of the Crimean Peninsula. The study object is the Derekoyka River watershed (49.7 km2, the altitude difference 14-1398 m). Streamflow simulations were carried out with daily time step for the periods of 1967-1988 and 2016-2017 using the data of two weather stations Ai-Petri and Yalta. Though mean and median Nash-Sutcliffe efficiency was only 0.28 and 0.33, in some years it exceeded 0.60. The analysis has shown that the precipitation input interpolated from weather stations was not always adequate affecting the quality of streamflow simulations. The results of the model verification were accepted as satisfactory. The hazardous flood of 2018 in Yalta was simulated. According to simulations, maximum daily discharge amounted to 14.9 m3/s and exceeded previous maximum value observed in 1962. The results confirm the possibility to apply the model Hydrograph to assess t",
author = "A. Zemlyanskova and O. Makarieva and N. NESTEROVA and A. Fedorova",
year = "2020",
month = apr,
day = "17",
doi = "10.1051/e3sconf/202016301014",
language = "English",
pages = "01014",
note = "4th Vinogradov Conference on Hydrology: from Learning to Worldview in Memory of Outstanding Russian Hydrologist Yury Vinogradov, VC 2020 ; Conference date: 20-03-2020 Through 27-03-2020",

}

RIS

TY - CONF

T1 - Modeling of runoff formation processes in mountain conditions of the Crimean Peninsula (Russia).

AU - Zemlyanskova, A.

AU - Makarieva, O.

AU - NESTEROVA , N.

AU - Fedorova, A.

PY - 2020/4/17

Y1 - 2020/4/17

N2 - The distributed hydrological model Hydrograph was applied to simulate runoff formation processes in the mountainous conditions of the Crimean Peninsula. The study object is the Derekoyka River watershed (49.7 km2, the altitude difference 14-1398 m). Streamflow simulations were carried out with daily time step for the periods of 1967-1988 and 2016-2017 using the data of two weather stations Ai-Petri and Yalta. Though mean and median Nash-Sutcliffe efficiency was only 0.28 and 0.33, in some years it exceeded 0.60. The analysis has shown that the precipitation input interpolated from weather stations was not always adequate affecting the quality of streamflow simulations. The results of the model verification were accepted as satisfactory. The hazardous flood of 2018 in Yalta was simulated. According to simulations, maximum daily discharge amounted to 14.9 m3/s and exceeded previous maximum value observed in 1962. The results confirm the possibility to apply the model Hydrograph to assess t

AB - The distributed hydrological model Hydrograph was applied to simulate runoff formation processes in the mountainous conditions of the Crimean Peninsula. The study object is the Derekoyka River watershed (49.7 km2, the altitude difference 14-1398 m). Streamflow simulations were carried out with daily time step for the periods of 1967-1988 and 2016-2017 using the data of two weather stations Ai-Petri and Yalta. Though mean and median Nash-Sutcliffe efficiency was only 0.28 and 0.33, in some years it exceeded 0.60. The analysis has shown that the precipitation input interpolated from weather stations was not always adequate affecting the quality of streamflow simulations. The results of the model verification were accepted as satisfactory. The hazardous flood of 2018 in Yalta was simulated. According to simulations, maximum daily discharge amounted to 14.9 m3/s and exceeded previous maximum value observed in 1962. The results confirm the possibility to apply the model Hydrograph to assess t

U2 - 10.1051/e3sconf/202016301014

DO - 10.1051/e3sconf/202016301014

M3 - Abstract

SP - 01014

T2 - 4th Vinogradov Conference on Hydrology: from Learning to Worldview in Memory of Outstanding Russian Hydrologist Yury Vinogradov, VC 2020

Y2 - 20 March 2020 through 27 March 2020

ER -

ID: 78621398