Modelling and remote sensing of water temperature of the Yenisei river (Russia). / Shaparev, N. Y.; Shokin, Y. I.; Yakubailik, O. E.
In: IOP Conference Series: Earth and Environmental Science, Vol. 211, No. 1, 012022, 17.12.2018.Research output: Contribution to journal › Conference article › peer-review
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TY - JOUR
T1 - Modelling and remote sensing of water temperature of the Yenisei river (Russia)
AU - Shaparev, N. Y.
AU - Shokin, Y. I.
AU - Yakubailik, O. E.
PY - 2018/12/17
Y1 - 2018/12/17
N2 - The summertime hydrothermal regime of the Yenisei River downstream of the Krasnoyarsk hydroelectric power plant is modeled using a remote sensing and deterministic approach. The Fourier equation is used, and the following physical processes contributing to the heat exchange between the water and the surroundings are taken into consideration: the absorption of direct and scattered solar radiation by water, the absorption of downwelling thermal infrared radiation (TIR) from the atmosphere by water surface, TIR back from the water surface, the convection of heat and the heat loss due to evaporation of water. A clear-skies river thermal regime under no wind condition is studied at 32-km downstream the power plant, and the obtained results are compared against remote sensing data.
AB - The summertime hydrothermal regime of the Yenisei River downstream of the Krasnoyarsk hydroelectric power plant is modeled using a remote sensing and deterministic approach. The Fourier equation is used, and the following physical processes contributing to the heat exchange between the water and the surroundings are taken into consideration: the absorption of direct and scattered solar radiation by water, the absorption of downwelling thermal infrared radiation (TIR) from the atmosphere by water surface, TIR back from the water surface, the convection of heat and the heat loss due to evaporation of water. A clear-skies river thermal regime under no wind condition is studied at 32-km downstream the power plant, and the obtained results are compared against remote sensing data.
UR - http://www.scopus.com/inward/record.url?scp=85059555281&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/211/1/012022
DO - 10.1088/1755-1315/211/1/012022
M3 - Conference article
AN - SCOPUS:85059555281
VL - 211
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
SN - 1755-1307
IS - 1
M1 - 012022
T2 - International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018
Y2 - 5 July 2018 through 11 July 2018
ER -
ID: 25314287