Sensitivity Assessment of a Runoff Formation Model in the Mozhaisk Reservoir River Basin

2019 ◽  
Vol 46 (S2) ◽  
pp. S40-S50 ◽  
Author(s):  
K. V. Suchkova ◽  
Yu. G. Motovilov
2018 ◽  
Vol 45 (2) ◽  
pp. 149-159 ◽  
Author(s):  
A. S. Kalugin ◽  
Yu. G. Motovilov

2021 ◽  
Author(s):  
Ekaterina Kornilova ◽  
Inna Krylenko ◽  
Ekaterina Rets ◽  
Yuri Motovilov ◽  
Evgeniy Bogachenko ◽  
...  

<p>The ongoing intensive deglaciation in high mountain areas is resulting in great instability of mountainous headwater regions, which could significantly extreme hydrological events In this research a model “chain” of hydrodynamic and runoff formation models is adopted to simulate a glacier lake outburst flood (GLOF) from Bashkara Lake, situated in headwater region of the Baksan River and its effect on the downstream.</p><p>Two-dimensional hydrodynamic model for the Adylsu River valley was developed, based on the STREAM_2D software (author V. Belikov). The ECOMAG runoff formation model (author Yu. Motovilov) for the entire Baksan River basin was adopted. The output flood hydrograph from the STREAM_2D model was set as additional input into the Baksan River runoff formation model in the upper reaches of the Adylsu River below Bashkara and Lapa Lakes.</p><p>Based on field surveys and remote sensing data, actual Bashkara Lake GLOF on September 1, 2017 was modelled. The GLOF event was triggered by extreme precipitation that caused overwetting of the dam and increase in the lake water level. The peak GLOF discharge according to modeling was estimated as 710 m<sup>3</sup>/s at the dambreak section and 320 m<sup>3</sup>/s at the Adylsu River mouth 40 minutes after the outburst. Two possible mechanisms for re-outburst of Bashkara Lake were taken into account: the rock avalanche impact, forming displacement waves, and the lake outburst due to increase in the water level, accompanied by expansion of the existing dam break. Under the rock avalanche scenario, there was no significant model response. Based on the results of modeling of the second re-outburst scenario, the maximum discharge of the outflow was estimated as 298 m<sup>3</sup>/s at the dambreak section and 101 m<sup>3</sup>/s in the Adylsu River mouth.</p><p>As a result of model chain application contribution of GLOFs and precipitation to an increase in peak discharge along the Baksan River was estimated. The actual outburst flood amounted to 45% and the precipitation - to 30% of the peak flow in the Baksan River at the mouth of the Adylsu river (10 km from the outburst site). In Tyrnyauz (40 km from the outburst site) the components of the outburst flood and precipitation were equalized, and in Zayukovo (70 km from the outburst site) the outburst flood contributed only about 20% to the peak flow, whereas precipitation - 44%.</p><p>Similar calculations were made for a potential re-outburst flood, taking into account expected climate changes with an increase in air temperatures by 2°С and an increase in precipitation by 10% in winter and decrease by 10% in summer. The maximum discharge of the re-outburst flood in the Adylsu river mouth according to modeling can be approximately 3 times less than discharge of the actual outburst on September 1, 2017 and can contribute up to 18% to peak discharge in the Baksan River at the confluence with the Adylsu river.</p><p>The Baksan River runoff formation model was developed under support of RFBR, project number 20-35-70024. The glaciation changes and climate impact scenarios analysis was funded by RFBR and the Royal Society of London (RS), project number 21-55-10003.</p>


Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 24
Author(s):  
Ekaterina D. Kornilova ◽  
Inna N. Krylenko ◽  
Ekaterina P. Rets ◽  
Yuri G. Motovilov ◽  
Evgeniy M. Bogachenko ◽  
...  

High mountain areas are prone to extreme hydrological events, and their study is especially important in the context of ongoing intensive deglaciation. In this research, a model “chain” consisting of a hydrodynamic model and a runoff formation model is adopted to simulate a glacier lake outburst flood (GLOF) from Bashkara Lake (the Central Caucasus, Russia) and its effect on downstream. In addition to an actual GLOF event that occurred on 1 September 2017 and led to casualties and significant destruction in the Adylsu and Baksan Rivers valleys, possible scenarios for the re-outburst of the lake are considered. The hydrographs of the outburst and the downstream movement of the flood wave along the Adylsu River valley are estimated using STREAM_2D two-dimensional hydrodynamic model. The water discharges in the entire river network of the Baksan River are assessed using the ECOMAG (ECOlogical Model for Applied Geophysics) runoff formation model. The output flood hydrograph from the hydrodynamic model is set as additional input into the Baksan River runoff formation model in the upper reaches of the Adylsu River. As a result of the simulations, estimates for the contribution of GLOFs and precipitation to an increase in peak discharge along the Baksan River were obtained. The actual outburst flood contributed 45% and precipitation 30% to the peak flow in the Baksan River at the mouth of the Adylsu River (10 km from the outburst site). In Tyrnyauz (40 km from the outburst site), the contributions of the outburst flood and precipitation were equal and, in Zayukovo (70 km from the outburst site), the outburst flood contributed only 20% to the peak flow, whereas precipitation contributed 44%. Similar calculations were made for future potential re-outburst flood, taking into account climatic changes with an increase in air temperatures of 2 °C, an increase in precipitation of 10% in winter and a decrease of 10% in summer. The maximum discharge of the re-outburst flood in the Adylsu River mouth, according to model estimations, will be approximately three times less than the discharge of the actual outburst on 1 September 2017 and can contribute up to 18% of the peak discharge in the Baksan River at the confluence.


2014 ◽  
Vol 955-959 ◽  
pp. 3065-3070
Author(s):  
Tuan Bui Anh ◽  
Shi Hua He ◽  
Lan Vu Thi Thu ◽  
Jian Jun Zhu

The SWAT model and GIS technique were applied to calculate the runoff in the Ma River basin, Vietnam. The study focused on assessing the influence of herbage coverage to runoff formation process. In this integration, GIS supplies SWAT input data included elevation, soil properties, land use and weather data and creates graphical user interface, while SWAT operates input data, delineates watershed, simulates different physical processes, displays output data as runoff. Based on the model testing and parameter calibrating, two scenarios of decreasing and increasing 30% of forest coverage are built to assess the impact to runoff changing. The results have important guiding significance for the planning, management and sustainable utilization of river basin water resources.


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