Probabilistic Models of Extreme Flood Water Discharges in Rivers of Cisbaikalia

被引:0
|
作者
Osipova, N. V. [1 ]
Bolgov, M. V. [1 ]
Kichigina, N. V. [2 ]
机构
[1] Russian Acad Sci, Inst Water Problems, Moscow 119333, Russia
[2] Russian Acad Sci, Sochava Inst Geog, Siberian Branch, Irkutsk 664033, Russia
关键词
maximal flood runoff; truncation of distributions; joint analysis; zoning; extreme hydrological events; integrated approach;
D O I
10.1134/S1875372823030101
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
This article considers the possibility of using probabilistic models to analyze the maximal flow discharges of rivers in order to obtain reliable calculated statistical characteristics for basins with poorly studied hydrological features. The research was performed by the example of Cisbaikalia, which is characterized by a flood regime of river flow. It is found that floods in the study area most often occur in summer (July-August), are associated with the climatic characteristics of the region, and are often destructive. The analysis of the maximal flow of rivers is based on data from the Roshydromet observation network. The series of maximal water discharges are checked for homogeneity and, in general, no disturbances in the steady state of runoff caused by climate changes are detected. A generalized distribution of extremes is proposed as the main probabilistic model; it is recommended to determine its parameters on the basis of the group analysis. The integrated approach has been applied for the first time; it combines conventional methods of hydrological calculations, which are most often used to refine the characteristics obtained for the runoff in the zone of extreme values: the apparatus for truncation of distributions; joint analysis of data; a reduction formula with the reduction of the drain modulus value not only to the area of 200 km2, but also to the mean height of basins in the region; and the frequency probability method for estimation of obtained results. These methods are recommended by regulatory documents for discharge calculations and are most often individually used. The comprehensive approach described by the authors enables us to take into account the features of the runoff formation in the zone of extreme values and obtain more accurate values of characteristic quantiles of a given probability of excess for use in design on poorly studied rivers of the region.
引用
收藏
页码:271 / 277
页数:7
相关论文
共 50 条
  • [1] Probabilistic Models of Extreme Flood Water Discharges in Rivers of Cisbaikalia
    N. V. Osipova
    M. V. Bolgov
    N.V. Kichigina
    Geography and Natural Resources, 2023, 44 : 271 - 277
  • [2] Probabilistic prediction of peak flood discharges
    Lefebvre, M
    Ribeiro, J
    Rousselle, J
    Seidou, O
    Lauzon, N
    APPLICATIONS OF STATISTICS AND PROBABILITY IN CIVIL ENGINEERING, VOLS 1 AND 2, 2003, : 867 - 871
  • [3] Extreme Flood Situations on the Rivers Of Belgorod Region
    Petin, Alexander N.
    Petina, Maria A.
    Lebedeva, Maria G.
    Dokalova, Yuliya I.
    RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES, 2015, 6 (06): : 1787 - 1792
  • [4] WARM WATER DISCHARGES INTO RIVERS AND SEA
    ROSS, FR
    EFFLUENT & WATER TREATMENT JOURNAL, 1971, 11 (09): : 497 - &
  • [5] Warm water discharges into rivers and the sea
    ROSS FF
    1971, 70 (03): : 269 - 274
  • [6] Probabilistic Flood Loss Models for Companies
    Schoppa, Lukas
    Sieg, Tobias
    Vogel, Kristin
    Zoeller, Gert
    Kreibich, Heidi
    WATER RESOURCES RESEARCH, 2020, 56 (09)
  • [7] Reducing the uncertainty in indirect estimates of extreme flash flood discharges
    Lumbroso, Darren
    Gaume, Eric
    JOURNAL OF HYDROLOGY, 2012, 414 : 16 - 30
  • [8] Palaeoflood hydrology: insight into rare events and extreme flood discharges
    Benito, Gerardo
    Thorndycraft, Varyl R.
    HOUILLE BLANCHE-REVUE INTERNATIONALE DE L EAU, 2006, (05): : 91 - +
  • [9] Palaeoflood hydrology: insight into rare events and extreme flood discharges
    Benito, Gerardo
    Thorndycraft, Varyl R.
    HOUILLE BLANCHE-REVUE INTERNATIONALE DE L EAU, 2006, (06): : 91 - +
  • [10] Probabilistic Analysis of Extreme Discharges and Precipitations with a Nonparametric Copula Model
    Liu, Yan
    Liu, Youcun
    Hao, Yonghong
    Wang, Tongke
    Yeh, Tian-Chyi Jim
    Fan, Yonghui
    Zhang, Qiaozhen
    WATER, 2018, 10 (07)