Estimation and forecasting method of water bodies overgrowth and siltation using geographic information systems on example of Kryukovskoye and Shapsugskoye reservoirs

The article presents research on the overgrowth degree of the Shapsugskoye and Kryukovskoye reservoirs. A new estimating and predicting method for water bodies overgrowth and siltation using remote sensing data (RSD) is proposed. As a result, the overgrowth degree of the considered reservoirs was de...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2021-03, Vol.723 (4), p.42071
Main Authors: Naumenko, N O, Fedotova, E V
Format: Article
Language:English
Subjects:
Aquatic plants
Geographic information systems
Remote sensing
Reservoirs
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Summary:The article presents research on the overgrowth degree of the Shapsugskoye and Kryukovskoye reservoirs. A new estimating and predicting method for water bodies overgrowth and siltation using remote sensing data (RSD) is proposed. As a result, the overgrowth degree of the considered reservoirs was determined from the beginning of their operation to 2019: 93.2% and 47.3% for the Shapsugskoye and Kryukovskoye reservoirs, respectively. A pattern of intensive growth periods of higher aquatic plants was found, according to which a forecast of further water bodies overgrowth was obtained.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/723/4/042071