Snowpack energy balance in forest environment: spatial and temporal variability of shortwave and longwave radiation Assessment of the role of forest on snowmelt processes and snowpack attributes contributes to the accuracy of spring floods forecasting. An importance of the coniferous forest consists in change of the snowpack energy balance. Forest reduces the total amount of solar radiation, however trees cause emitting of longwave radiation, both factors are fundamentally reflected in time of snowmelt in forest environment. Master thesis focuses on temporal and spatial variability of shortwave and longwave radiation depending on the structures of vegetation cover. Individual site types were defined as an open area, a forest affected by the bark beetle (Ips typographus) and a healthy coniferous forest, based on the hemispheric images of vegetation and its Leaf Area Index (LAI). Moreover, repeated manual measurements of the snow depth and snow water equivalent (SWE) were done in plots during winter period 2016/2017 in the Ptačí Brook catchment in the Šumava Mountains, and an analysis of shortwave and longwave radiation data the radiometers in plots was performed. Radiation fluxes in different plots were described in daily and seasonal scale, including the calculation of total heat from shortwave and...
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:379371 |
| Date | January 2018 |
| Creators | Hotový, Ondřej |
| Contributors | Jeníček, Michal, Matějka, Ondřej |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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