Szerző szerinti böngészés "Pirkhoffer, Ervin"

Megjelenítve 1 - 3 (Összesen 3)
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    Application of a topographic pedosequence in the Villány Hills for terroir characterization
    (2020) Czigány, Szabolcs; Novák, Tibor; Pirkhoffer, Ervin; Nagy, Gábor; Lóczy, Dénes; Dezső, József; Fábián, Szabolcs Ákos; Switoniak, Marcin; Charzynski, Przemyslaw
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    Hydromorphological assessment of the lower Hungarian Drava section and its floodplain
    (2016-08-28) Lóczy , Dénes; Dezső, József; Czigány, Szabolcs; Pirkhoffer, Ervin
    The hydromorphological properties of rivers and their floodplains receive increased attention both in basic research and water management. A comparison of hydromorphological parameters before and after river regulation (involving floodplain drainage) provides important information for river management, particularly floodplain rehabilitation. The paper assesses a selected reach of the Drava River and the corresponding floodplain utilising two international approaches, the REFORM framework and the Italian Morphological Quality Index.
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    TételSzabadon hozzáférhető
    Interpolation and 3D visualization of soil moisture
    (2017-12-31) Hervai, András; Pirkhoffer, Ervin; Fábián, Szabolcs Ákos; Halmai, Ákos; Nagy, Gábor; Lóczy , Dénes; Czigány, Szabolcs
    Adaptation to climate change demands the optimal and sustainable water management in agriculture, with an inevitable focus on soil moisture conditions. In the current study we developed an ArcGIS 10.4. platform-based application (software) to model spatial and temporal changes in soil moisture in a soy field. Six SENTEK Drill & Drop soil moisture sensors were deployed in an experimental field of 4.3 hectares by the contribution of Elcom Ltd. Soil moisture measurement at each location were taken at six depths (5, 15, 25, 35, 45 and 55 cm) in 60-minute intervals. The model is capable to spatially interpolate monitored soil moisture using the technique. The time sequence change of soil moistures can be tracked by a Time Slider for both the 2D and 3D visualization. Soil moisture temporal changes can be visualized in either daily or hourly time intervals, and can be shown as a motion figure. Horizon average, maximum and minimum values of soil moisture data can be identified with the builtin tool of ArcGIS. Soil moisture spatial distribution can be obtained and plotted at any cross sections, whereas an alarm function has also been developed for tension values of 250, 1,000 and 1,500 kPa.