A5051845080- Hydrology and Watershed Management Studies
- Water Resources and Management
- Climate change and permafrost
- Geological Studies and Exploration
- Flood Risk Assessment and Management
- Cryospheric studies and observations
- Aquatic and Environmental Studies
- Hydrology and Sediment Transport Processes
- Environmental Monitoring and Data Management
- Arctic and Antarctic ice dynamics
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Hydrological Forecasting Using AI
- Marine and environmental studies
- Landslides and related hazards
- Soil erosion and sediment transport
- Plant Water Relations and Carbon Dynamics
- Groundwater and Watershed Analysis
- Geophysics and Gravity Measurements
- Climate variability and models
- Soil and Environmental Studies
- Soil and Water Nutrient Dynamics
- Advanced Computational Techniques and Applications
- Scientific Research Methodologies and Applications
- Soil Moisture and Remote Sensing
V.I. Vernadsky Crimean Federal University
2025
Russian Academy of Sciences
2008-2025
Institute of Water Problems
2016-2025
Far Eastern Branch of the Russian Academy of Sciences
2016-2024
Pacific Institute of Geography, Far Eastern Branch of the Russian Academy of Sciences
2010-2023
Geographical Institute
2019-2023
Roshydromet
2015
Russian State Hydrometeorological University
2007
This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by need for stronger harmonisation research efforts. The procedure involved public consultation through online media, followed two workshops which large number potential science questions were collated, prioritised, and synthesised. In spite diversity participants (230 scientists total), process revealed much about priorities state our science: preference continuity...
Contemporary distributed hydrological models are detailed and mathematically rigorous, but their calibration testing can be still an issue. Often it is based on the quadratic measure of calculated observed hydrographs proximity at one outlet gauge station, typically Nash-Sutcliffe model efficiency coefficient (NSE). This approach seems insufficient to calibrate a with hundreds spatial elements. paper presents using multi-dimensional estimator modeling quality, being natural generalization...
The developing of hydrological modeling under the conditions a non-stationary climate, changing landscape river basins, and lack observational data, asks use new such as terrain analysis data on structure systems. advent high-resolution digital elevation models has opened up opportunities in modeling. However, with modern requires development software tools. In past decade, structural-hydrographic systems, scientific field, faced blurring and, potentially, loss its research subject, main...
With more machine learning methods being involved in social and environmental research activities, we are addressing the role of available information for model training performance. We tested abilities several models short-term hydrological forecasting by inferring linkages with all predictors or only those pre-selected a hydrologist. The used this study were multivariate linear regression, M5 tree, multilayer perceptron (MLP) artificial neural network, long memory (LSTM) model. two river...
This study is focused on the comparison of streamflow composition simulated with three well-known rainfall–runoff (RR) models (ECOMAG, HBV, SWAT) against hydrograph decomposition evaluated End-Member Mixing Analysis (EMMA). In situ observations at two small mountain testbed catchments located in south Pacific Russia are used. All applied RR and EMMA analysis demonstrate that neighboring disagree significantly mutual dynamics runoff sources. The models' benchmark test based proximity to...
This paper considers the main principles and technologies used in developing operational modeling system for Ussuri River Basin of 24,400 km2 based on automated hydrological monitoring data management (ASHM), physical-mathematical model with distributed parameters ECOMAG (ECOlogical Model Applied Geophysics) numerical mesoscale atmosphere WRF (Weather Research Forecasting Model). The is designed as a freely combined tool that allows flexible changing forecasting informational components....
The article summarizes results of the systematic study streamflow formation two small catchments in upper part Ussuri River. was carried out by hydrograph separation technique (using detailed data hydrochemical and hydrological monitoring) use a tracer mixing model conjunction with EMMA. Performed period from 2011 to 2016 studies allowed calculate river runoff components summer-autumn at 3 gauge-stations evaluate their mutual dynamics different time scales. It is shown that case landscape...