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1

What we can learn from a wetland water balance? Narew National Park case study

100%
Szporak-Wasilewska S., Piniewski M., Kubrak J., Okruszko T.
International Journal of Ecohydrology and Hydrobiology
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2015
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tom 15
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nr 3
2
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
Content available

Spatial mapping of the leaf area index using remote sensing and ground measurements - the Biebrza National Park case study

100%
Ignar S., Szporak-Wasilewska S., Gregorczyk M.
Przegląd Naukowy. Inżynieria i Kształtowanie Środowiska
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2023
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tom 32
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nr 2
3
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
Content available

Spatial and temporal variability of the interception in the natural wetland valley, the lower Biebrza basin case study

100%
Ignar S., Weglewska A., Szporak-Wasilewska S., Chormanski J.
Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation
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2013
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tom 45
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nr 1
The paper presents the research carried out in the lower basin of Biebrza River valley in order to identify interception for natural wetland plant communities. Maximum interception, i.e. the largest amount of water, expressed in millimeters, which can be captured and retained by plant canopy from rainfall is one of the key parameters of the water cycle modeling. Maximum interception was determined based on the difference of the masses of wet and dry fresh plant samples. Collection of plant material samples took place during the five measurement sessions, which began immediately after the flood recedes, and then lasted until the end of the growing season. Interception spatial variability was analyzed on the basis of the results of maximum interception measured for selected plant aggregations in the different sampling points. The obtained values were extrapolated to the area of the lower basin of Biebrza River using vegetation map of the Biebrza National Park. By conducting a test sessions in the five coming months, the maps of the spatial variability also show changes over time. Methodology used in the described tests allowed for obtaining of satisfactory results. They present, in a correct way, variation occurring between the plant aggregations due to their morphology. In most cases the results are consistent with data from the literature. As results of the analysis of spatial variability of the maximum interception, the highest values were found for the plant communities located in the immediate vicinity of the river channel. With the increase of the distance from river towards the valley edges the maximum interception values decrease. These changes can be seen in the form of strips parallel to the river channel, which corresponds to the plant zones. Obtained map of spatial variability of the maximum interception, which is the results of extrapolation of the values assigned to plant communities, has a high correlation with the map resulting from the analysis of satellite images.
4

Diurnal course of the main heat balance components of a marshy meadow in the lower Biebrza River Valley

76%
Kleniewska M., Golaszewski D., Majewski G., Szporak-Wasilewska S., Rozbicka K., Rozbicki T.
Polish Journal of Environmental Studies
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2015
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tom 24
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nr 3
Understanding the heat balance structure of the surface of a marshy meadow and the dynamics of its changes were the objectives of observations carried out in the valley of the Biebrza River. A simplified eddy covariance system allowed measurements of the density of four main energy balance components: latent (LE) and sensible (S) heat fluxes, soil heat flux (G), and net radiation (Rn). The mean half-hourly values of the net radiation during our observations ranged from -51 W·m⁻² (nighttime) to 309 W·m⁻² (daytime). The amount of available energy was used for evaporation in the first place – the latent heat flux assumed the highest values in the outgoing portion of the heat balance throughout the entire data series. Mean half-hourly values of latent heat varied between -90 W·m⁻² (at 3. p.m.) and 194 W·m⁻² (at 1 a.m.). The values of sensible heat flux density were relatively low and ranged from -16 W·m⁻² to 96 W·m⁻². During the day, the soil heat flux density ranged from 2 W·m⁻² to 36 W·m⁻², and the flux was most often directed from the active surface into the soil profile. At night, it assumed values within the range -24 to -5 W·m⁻².
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