References

gesj

GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY

2071-93882542-1565

Russian Geographical Society

10.24057/2071-9388-2025-3887

gesj-4148

Research Article

RESEARCH PAPER

Статьи

Multi-Objective Validation of the Runoff Formation Model in the High-Mountain River Basin of the Central Caucasus

Pavlyukevich

Ekaterina D.

119991, Moscow

119333, Moscow

Elagina

Nelly E.

119017, Moscow

nelly_elagina@igras.ru

Krylenko

Inna N.

119991, Moscow

119333, Moscow

Rets

Ekaterina P.

119333, Moscow

Gafurov

Abror A.

Telegrafenberg, 14473, Potsdam

Motovilov

Yuri G.

119333, Moscow

Lomonosov Moscow State University ; Water Problems Institute of the Russian Academy of SciencesRussian Federation

Institute of Geography of the Russian Academy of SciencesRussian Federation

Water Problems Institute of the Russian Academy of SciencesRussian Federation

German Research Centre for Geoscience,Germany

2025

05072025

182189200

2025

Pavlyukevich E.D., Elagina N.E., Krylenko I.N., Rets E.P., Gafurov A.A., Motovilov Y.G.

This work is licensed under a Creative Commons Attribution 4.0 License.

https://ges.rgo.ru/jour/article/view/4148

This study demonstrates the effectiveness of a multi-objective validation approach for a distributed hydrological model in a high mountain river basin. Focusing on the Baksan River Basin in the Central Caucasus, where snow and glacier melt play a crucial role in runoff formation, we applied the ECOMAG model, which has proven its reliability in high-altitude hydrology. To enhance the validation accuracy, we integrated diverse data sources, including observed river discharge, MODISderived snow cover, stable isotope hydrograph separation, glacier mass balance observations, and glacial runoff simulations from the A-Melt model. The results confirm the high performance of the model across multiple hydrological components. The simulated and observed discharge values showed strong agreement, with the Nash-Sutcliffe efficiency exceeding 0.8 for both the calibration and validation periods. The model successfully captured seasonal snow cover variations, achieving an R² of 0.85 when compared with the MODIS data. Isotopic hydrograph separation further validated the accuracy of the simulated meltwater and rainfall contributions to runoff. Although glacier ablation simulations showed some deviations, particularly for the Djankuat Glacier, these findings highlight opportunities for refining glacial process representation. Overall, this study confirms the robustness and applicability of multi-objective validation for hydrological modeling in complex mountainous regions. The integration of multiple observational datasets significantly enhances the reliability of modeling results, providing valuable insights into water resource management, climate impact assessments, and sustainable development in glacier-fed river basins.

mountain hydrologyrunoff formation modelingmountainous regionsglacier modelingCentral CaucasusA-meltECOMAG

The study was carried out under the Governmental Order to Water Problems Institute, Russian Academy of Sciences, subject no. FMWZ-2025-0003 (ECOMAG model adaptation and calibration), under the state assignment of the Research Laboratory of Soil Erosion and Fluvial Processes, Faculty of Geography, Lomonosov Moscow State University (CITIS 121051100166-4 (results analysis), 121051400038-1 (snow cover data analysis)), and under the Russian Science Foundation Grant No. 23-17-00247 «Development of parameterization of mountain glaciers for Earth system models» (A-Melt modeling).

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The authors declare that there are no conflicts of interest present.