Paper
30 December 1997 Estimation of the infiltration loss volume from the reservoir cooler of the Chernobyl power plant to the Pripyat river using remote sensing research in the microwave and IR ranges
Vadim I. Lyalko, Leonid D. Vulfson, Victor N. Shevchenko, Yuri Vladimirovich Filippov, Nickolay I. Kobets
Author Affiliations +
Proceedings Volume 3222, Earth Surface Remote Sensing; (1997) https://doi.org/10.1117/12.298150
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom
Abstract
The research problem is to reveal location and estimate total intensity of the filtration flows, that pass under the dam body from the reservoir-cooler and unload to the Pripyat River. With this aim the CARTE airborne-laboratory has provided remote sensing survey of the radiation temperature fields on the ground surface, the soil surface layer moisture and the underground water level depth. As a result of the survey data processing the zones of the wet soil with underground water level higher than ground surface level have been located. Within these zones the low value of Trad was observed. The value of Trad was determined on day time by increased heat debit on evaporation and large thermal inertia of the wet soil, retarding its heat by insulation. Such coincidence of positive W anomalies and negative Trad anomalies made possible to draw conclusion that they were confined to the areas of the underground water unloading from the reservoir-cooler under the dam to the Pripyat River. By resulted data the estimation of the filtration loss value under the dam has been performed.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vadim I. Lyalko, Leonid D. Vulfson, Victor N. Shevchenko, Yuri Vladimirovich Filippov, and Nickolay I. Kobets "Estimation of the infiltration loss volume from the reservoir cooler of the Chernobyl power plant to the Pripyat river using remote sensing research in the microwave and IR ranges", Proc. SPIE 3222, Earth Surface Remote Sensing, (30 December 1997); https://doi.org/10.1117/12.298150
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KEYWORDS
Remote sensing

Microwave radiation

Radiometry

Infrared sensors

Soil science

Aerospace engineering

Data analysis

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