Multidimensional Data Analysis in the Assessment of Ice-Jam Formation in River Basins

被引：3
|
作者：
Kozlov, D. V. [1 ]
Kuleshov, S. L. [2 ]
机构：
[1] Moscow State Univ Civil Engn, Moscow 129337, Russia
[2] Russian State Agr Univ, Moscow Timiryazev Agr Acad, Moscow 127550, Russia
来源：
WATER RESOURCES | 2019年 / 46卷 / 02期
基金：
俄罗斯科学基金会;
关键词：
river basin; ice jam; jam-formation factors; jam-induced flood; discriminant analysis; multiple-regression models;
D O I：
10.1134/S0097807819020088
中图分类号：
TV21 [水资源调查与水利规划];
学科分类号：
081501 ;
摘要：
The analysis and evaluation of the factors that have an effect on the frequency of ice jams and the characteristics of the accompanying floods have been shown to remain an important field of hydrophysical studies. Discriminant analysis of the data of long-term observations of river water regime in the Northern Dvina basin has been used to assess the backwater effect of downstream reaches on the characteristics of ice-jam floods in jam-hazardous river reaches with the construction of classification functions for characteristic reaches. Multiple regression models were analyzed to assess the effect of the morphometric features of river channel on the frequency of ice jams within two extended river basins in the European and Asian Russia.
引用
收藏
页码：152 / 159
页数：8
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