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Sergey Chalov

Researcher at Moscow State University

Publications -  119
Citations -  2121

Sergey Chalov is an academic researcher from Moscow State University. The author has contributed to research in topics: Sediment & Drainage basin. The author has an hindex of 21, co-authored 103 publications receiving 1492 citations. Previous affiliations of Sergey Chalov include Kazimierz Wielki University in Bydgoszcz.

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North to South Variations in the Suspended Sediment Transport Budget within Large Siberian River Deltas Revealed by Remote Sensing Data

TL;DR: In this paper, the authors analyzed the long-term and seasonal changes of spatial patterns of suspended sediment concentrations (SSC) over distributaries systems in four Siberian river deltas.
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Modelling suspended sediment distribution in the Selenga River Delta using LandSat data

TL;DR: In this article, the seasonal variability in suspended sediment retention during the period 1989 to 2015 was calculated, and the results suggest that sediment storage in the Selenga delta is observed during high discharges (>1500m3/s−1), whereas sediment export increases under lower flow conditions.
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River Water Quality of the Selenga-Baikal Basin: Part II—Metal Partitioning under Different Hydroclimatic Conditions

TL;DR: In this article, the influence of different hydroclimatic conditions on metal partitioning and transport was investigated on the basin scale, and the results showed that the investigated metals exhibited a wide range of different behaviors.
Proceedings ArticleDOI

Leman-Baikal: Remote sensing of lakes using an ultralight plane

TL;DR: The developed remote sensing methodology and the initial obtained results are discussed, which are optimised for the sensing of land and water surfaces from an ultralight aircraft.
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Geomorphologic map of the 1 st Mutnaya River, Southeastern Kamchatka, Russia

TL;DR: In this article, the authors focus on the 1stMutnaya catchment which drains the southern slopes of two active volcanoes: Avachinsky and Koryaksky and elaborate a cartographic approach which integrates classic geomorphology with state of the art GIS and remote sensing techniques.