2019
DOI: 10.52321/geolbalc.48.3.3
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Estimation of evapotranspiration rate by using the Penman–Monteith and Hargreaves formulas for the loess in Northeast Bulgaria complex with HYDRUS-1D

Abstract: Loess and loess-like sediments cover approximately 13% of the Bulgarian territory, mainly within the Danubian plain. From the Danube River to the Fore-Balkan, the loess soils form a loess complex where its depth varies from 50–60 meters in the north to few meters in the south, respectively. Widespread loess sediments possess a specific feature: they typically form deep unsaturated zones. Quantification of the near surface water balance is extremely important for evaluating land-atmosphere interactions, and the… Show more

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Cited by 2 publications
(4 citation statements)
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“…The terrain is flat, and the loess deposits are approximately 30 m thick. The exact specifications of the devices recorder the meteorological dataset and the dataset itself are described in details in Gerginov (2019) and in Gerginov and Antonov (2019). At the site, in area approximately 12 sq.…”
Section: Investigated Sitementioning
confidence: 99%
See 2 more Smart Citations
“…The terrain is flat, and the loess deposits are approximately 30 m thick. The exact specifications of the devices recorder the meteorological dataset and the dataset itself are described in details in Gerginov (2019) and in Gerginov and Antonov (2019). At the site, in area approximately 12 sq.…”
Section: Investigated Sitementioning
confidence: 99%
“…The initial condition is set equal to the examined in situ pressure head (Antonov et al, 2018). The bottom boundary condition is set to free drainage condition and the (Gerginov, Antonov, 2019). Three observation points (OP) were set at 55 cm, 80 cm and 105 cm depths in the models due to the field measurement of gas permeability of soils in connection with the radon index determination.…”
Section: Code and Model Descriptionmentioning
confidence: 99%
See 1 more Smart Citation
“…In the corresponding application, scholars have combined the required meteorological data to obtain the Penman-Monteith PET (PM_PET) of several key transboundary catchments worldwide through spatial interpolation algorithms such as Kriging and inverse-distance weighting. The long-term time-series distribution of the value was obtained, and its correlation with various meteorological elements and their contribution degrees was analyzed [17][18][19][20].…”
Section: Introductionmentioning
confidence: 99%