Modelling maximum discharge of the catastrophic flood at the Iya River (Irkutsk region, Russia) in 2019

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Modelling maximum discharge of the catastrophic flood at the Iya River (Irkutsk region, Russia) in 2019. / Fedorova, Alexandra ; Makarieva, Olga ; Nesterova, Nataliia; Shikhov, Andrey; Vinogradova, Tatyana.

In: E3S Web of Conferences, Vol. 163, 01004, 17.04.2020.

Research output: Contribution to journal › Conference article › peer-review

BibTeX

@article{cd27e671d77444c084150252617386d2,

title = "Modelling maximum discharge of the catastrophic flood at the Iya River (Irkutsk region, Russia) in 2019",

abstract = "The aim of the study is to estimate the maximum discharge of the catastrophic flood in June 2019 at the Iya River (Irkutsk Region, Russia). The main cause of this flood was extreme precipitation (170 mm for 3 days). The distributed deterministic hydrological model Hydrograph was applied. The schematization of the Iya river basin, parametrization and verification of the Hydrograph model were performed. The median value of the Nash-Sutcliff criteria was 0.69 for the period 1970-1996 for three catchments of the Iya River basin. Based on the data of weather stations and global weather forecast model ICON, maximum daily discharge values of the flood were estimated as 6570 and 4780 m3s-1 respectively with the possible value range assessed by the dependence of Q(H) 6250-7500 m3s-1. The flood hydrograph estimated from weather station data coincides in magnitude of flood peak, but its formation is delayed by 1 day. ICON data underestimates maximum value but provides proper timing of the flood peak. The ensemble of input meteorological data from various sources could potentially be used to satisfactorily predict the magnitude and duration of the catastrophic flood and minimize the consequences of the flood.",

author = "Alexandra Fedorova 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/202016301004",

language = "English",

volume = "163",

journal = "E3S Web of Conferences",

issn = "2555-0403",

publisher = "EDP Sciences",

}

RIS

TY - JOUR

T1 - Modelling maximum discharge of the catastrophic flood at the Iya River (Irkutsk region, Russia) in 2019

AU - Fedorova, Alexandra

AU - Makarieva, Olga

AU - Nesterova, Nataliia

AU - Shikhov, Andrey

AU - Vinogradova, Tatyana

PY - 2020/4/17

Y1 - 2020/4/17

N2 - The aim of the study is to estimate the maximum discharge of the catastrophic flood in June 2019 at the Iya River (Irkutsk Region, Russia). The main cause of this flood was extreme precipitation (170 mm for 3 days). The distributed deterministic hydrological model Hydrograph was applied. The schematization of the Iya river basin, parametrization and verification of the Hydrograph model were performed. The median value of the Nash-Sutcliff criteria was 0.69 for the period 1970-1996 for three catchments of the Iya River basin. Based on the data of weather stations and global weather forecast model ICON, maximum daily discharge values of the flood were estimated as 6570 and 4780 m3s-1 respectively with the possible value range assessed by the dependence of Q(H) 6250-7500 m3s-1. The flood hydrograph estimated from weather station data coincides in magnitude of flood peak, but its formation is delayed by 1 day. ICON data underestimates maximum value but provides proper timing of the flood peak. The ensemble of input meteorological data from various sources could potentially be used to satisfactorily predict the magnitude and duration of the catastrophic flood and minimize the consequences of the flood.

AB - The aim of the study is to estimate the maximum discharge of the catastrophic flood in June 2019 at the Iya River (Irkutsk Region, Russia). The main cause of this flood was extreme precipitation (170 mm for 3 days). The distributed deterministic hydrological model Hydrograph was applied. The schematization of the Iya river basin, parametrization and verification of the Hydrograph model were performed. The median value of the Nash-Sutcliff criteria was 0.69 for the period 1970-1996 for three catchments of the Iya River basin. Based on the data of weather stations and global weather forecast model ICON, maximum daily discharge values of the flood were estimated as 6570 and 4780 m3s-1 respectively with the possible value range assessed by the dependence of Q(H) 6250-7500 m3s-1. The flood hydrograph estimated from weather station data coincides in magnitude of flood peak, but its formation is delayed by 1 day. ICON data underestimates maximum value but provides proper timing of the flood peak. The ensemble of input meteorological data from various sources could potentially be used to satisfactorily predict the magnitude and duration of the catastrophic flood and minimize the consequences of the flood.

UR - http://www.scopus.com/inward/record.url?scp=85085242810&partnerID=8YFLogxK

UR - https://www.e3s-conferences.org/articles/e3sconf/abs/2020/23/e3sconf_vc2020_01004/e3sconf_vc2020_01004.html

U2 - 10.1051/e3sconf/202016301004

DO - 10.1051/e3sconf/202016301004

M3 - Conference article

AN - SCOPUS:85085242810

VL - 163

JO - E3S Web of Conferences

JF - E3S Web of Conferences

SN - 2555-0403

M1 - 01004

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: 87710814