Abstract
Significant area of Yuzhno-Sakhalinsk city within the river Susuya flood plain, a terrace above it and its tributaries are located in flood prone zone. The aim of this research was to estimate maximum characteristics of flash floods and low-density debris flows for the Susuya river and its tributaries, the Rogatka and Vladimirovka rivers. A one-dimensional model of unsteady water movement based on Saint-Venan equations was used. The modeling of river maximum characteristics include following tasks: 1) collect and analyze the data of past dangerous events, 2) process the initial information for the model, 3) simulate discharges of 0.1-10% exceeding probabilities with a change in the hydraulic-morphometric characteristics of the objects. The model does not take into account flow density, therefore numerical experiments were conducted with the increasing coefficient of roughness to identify optimal values of the parameter. The results can be further used in the construction design of residential buildings and infrastructure in Yuzhno-Sakhalinsk.
Highlights
During the warm period from June to October several floods may occur in the Sakhalin island [1]
Another gauge is located in Yuzhno-Sakhalinsk, where only water levels are measured
The aim of this study was to model the hydrographs of floods and low-density debris flows of different exceeding probabilities for the Susuya river gauge within the territory of Yuzhno-Sakhalinsk and its tributaries, in particular the Rogatka and the Vladimirovka rivers
Summary
During the warm period from June to October several floods may occur in the Sakhalin island [1]. This area has a monsoon climate with typhoons which may result in multiday rains. The aim of this study was to model the hydrographs of floods and low-density debris flows of different exceeding probabilities for the Susuya river gauge within the territory of Yuzhno-Sakhalinsk and its tributaries, in particular the Rogatka and the Vladimirovka rivers. A one-dimension model based on Saint-Venant equations was used in this study
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