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Reconstruction of the hazardous flood of 2014 in Magadan city based on coupled hydrometeorological modelling. / Kurovskaia, Viktoriia; Makarieva, Olga; Nesterova, Nataliia; Shikhov, Andrey; Vinogradova, Tatyana.

In: E3S Web of Conferences, Vol. 163, 01007, 17.04.2020.

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@article{ee9b19097c4d4a2e9d33519535d8fa09,
title = "Reconstruction of the hazardous flood of 2014 in Magadan city based on coupled hydrometeorological modelling",
abstract = "The study assessed the possibility of using a deterministic distributed hydrological model Hydrograph to calculate the maximum discharge of catastrophic flood at the Magadanka River (48.5 km2, city of Magadan, North-East of Russia) in 2014. The model parameters were not calibrated but borrowed from previously performed regional modelling studies. To verify the Hydrograph model streamflow simulations with daily time step were carried out for the period 1971-2015. The median value of Nash-Sutcliffe efficiency was 0.42 for a period of 44 years, which, given the lack of a meteorological station within the catchment, made it possible to evaluate the results as satisfactory. For the catastrophic flood calculation, two types of precipitation data were used: hourly data on precipitation from the nearest weather station and distribution of precipitation for the watershed from the meteorological model WRF. The flood hydrographs were estimated for the initial and corrected sets of the model parameters. The initial set of the model parameters allowed for proper timing of the flood peak but underestimated {"}observed{"} maximum value. We introduced the decreasing correction coefficient to the infiltration parameter of the model to {"}stretch out{"} the peak and volume of hydrographs. The results have shown that combining the meteorological input from weather station and regional meteorological model may allow for successful flood simulations in ensemble mode.",
author = "Viktoriia Kurovskaia and Olga Makarieva and Nataliia Nesterova and Andrey Shikhov and Tatyana Vinogradova",
note = "Publisher Copyright: {\textcopyright} 2020 The Authors, published by EDP Sciences.; 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",
year = "2020",
month = apr,
day = "17",
doi = "10.1051/e3sconf/202016301007",
language = "English",
volume = "163",
journal = "E3S Web of Conferences",
issn = "2555-0403",
publisher = "EDP Sciences",

}

RIS

TY - JOUR

T1 - Reconstruction of the hazardous flood of 2014 in Magadan city based on coupled hydrometeorological modelling

AU - Kurovskaia, Viktoriia

AU - Makarieva, Olga

AU - Nesterova, Nataliia

AU - Shikhov, Andrey

AU - Vinogradova, Tatyana

N1 - Publisher Copyright: © 2020 The Authors, published by EDP Sciences.

PY - 2020/4/17

Y1 - 2020/4/17

N2 - The study assessed the possibility of using a deterministic distributed hydrological model Hydrograph to calculate the maximum discharge of catastrophic flood at the Magadanka River (48.5 km2, city of Magadan, North-East of Russia) in 2014. The model parameters were not calibrated but borrowed from previously performed regional modelling studies. To verify the Hydrograph model streamflow simulations with daily time step were carried out for the period 1971-2015. The median value of Nash-Sutcliffe efficiency was 0.42 for a period of 44 years, which, given the lack of a meteorological station within the catchment, made it possible to evaluate the results as satisfactory. For the catastrophic flood calculation, two types of precipitation data were used: hourly data on precipitation from the nearest weather station and distribution of precipitation for the watershed from the meteorological model WRF. The flood hydrographs were estimated for the initial and corrected sets of the model parameters. The initial set of the model parameters allowed for proper timing of the flood peak but underestimated "observed" maximum value. We introduced the decreasing correction coefficient to the infiltration parameter of the model to "stretch out" the peak and volume of hydrographs. The results have shown that combining the meteorological input from weather station and regional meteorological model may allow for successful flood simulations in ensemble mode.

AB - The study assessed the possibility of using a deterministic distributed hydrological model Hydrograph to calculate the maximum discharge of catastrophic flood at the Magadanka River (48.5 km2, city of Magadan, North-East of Russia) in 2014. The model parameters were not calibrated but borrowed from previously performed regional modelling studies. To verify the Hydrograph model streamflow simulations with daily time step were carried out for the period 1971-2015. The median value of Nash-Sutcliffe efficiency was 0.42 for a period of 44 years, which, given the lack of a meteorological station within the catchment, made it possible to evaluate the results as satisfactory. For the catastrophic flood calculation, two types of precipitation data were used: hourly data on precipitation from the nearest weather station and distribution of precipitation for the watershed from the meteorological model WRF. The flood hydrographs were estimated for the initial and corrected sets of the model parameters. The initial set of the model parameters allowed for proper timing of the flood peak but underestimated "observed" maximum value. We introduced the decreasing correction coefficient to the infiltration parameter of the model to "stretch out" the peak and volume of hydrographs. The results have shown that combining the meteorological input from weather station and regional meteorological model may allow for successful flood simulations in ensemble mode.

UR - http://www.scopus.com/inward/record.url?scp=85085258004&partnerID=8YFLogxK

UR - https://www.e3s-conferences.org/articles/e3sconf/abs/2020/23/e3sconf_vc2020_01007/e3sconf_vc2020_01007.html

UR - http://elibrary.ru/item.asp?id=43304890

U2 - 10.1051/e3sconf/202016301007

DO - 10.1051/e3sconf/202016301007

M3 - Conference article

AN - SCOPUS:85085258004

VL - 163

JO - E3S Web of Conferences

JF - E3S Web of Conferences

SN - 2555-0403

M1 - 01007

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: 97568215