Forecasting of the 2024 Spring Flood Characteristics of the Ishim, Tobol, and Ural Rivers

The Hydrometeorological Center of Russia developed some techniques for short-, medium-, and long-term forecasting of spring flood characteristics, which were implemented for eight cross-sections on the Ishim, Tobol, and Ural rivers in 2024. Based on a statistical analysis of hydrological observation data from 1985 to 2023, the peak flood, its date, and the dates of water level decline to the dangerous and adverse levels (two defence levels) were predicted with the help of the techniques. The forecasts were issued in deterministic and probabilistic forms and have satisfactory results, which were used in organizing and implementing measures to protect the population and economic facilities from extreme floods observed in 2024. The simplicity and effectiveness of the developed methods allow recommending these techniques in operational forecasting of flood characteristics in various regions of Russia.

Authors

Institutions

Publication Details

Journal
Russian Meteorology and Hydrology
Published
2025-12-01
DOI
https://doi.org/10.3103/s1068373925140055
Primary Topic
Water Resources and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forecasting of the 2024 Spring Flood Characteristics of the Ishim, Tobol, and Ural Rivers

Yu. A. Simonov, Sergei Borsch, А. В. Христофоров, N. M. Yumina
Russian Meteorology and Hydrology
Water Resources and Management
article

Forecasting of the 2024 Spring Flood Characteristics of the Ishim, Tobol, and Ural Rivers

Yu. A. Simonov, Sergei Borsch, А. В. Христофоров, N. M. Yumina
article en

Abstract

The Hydrometeorological Center of Russia developed some techniques for short-, medium-, and long-term forecasting of spring flood characteristics, which were implemented for eight cross-sections on the Ishim, Tobol, and Ural rivers in 2024. Based on a statistical analysis of hydrological observation data from 1985 to 2023, the peak flood, its date, and the dates of water level decline to the dangerous and adverse levels (two defence levels) were predicted with the help of the techniques. The forecasts were issued in deterministic and probabilistic forms and have satisfactory results, which were used in organizing and implementing measures to protect the population and economic facilities from extreme floods observed in 2024. The simplicity and effectiveness of the developed methods allow recommending these techniques in operational forecasting of flood characteristics in various regions of Russia.

Russian Meteorology and HydrologyVol. 50(S2)
Hydrometeorological Research Centre of Russian Federation (RU)
Openalex Percentile: Top 60%
Water Resources and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.