Autor: Bohne, K. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Prediction of long-term groundwater recharge by using hydropedotransfer functions
Autorzy:: Miegel, K.
Bohne, K.
Wessolek, G.
Powiązania:: https://bibliotekanauki.pl/articles/24919.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Opis:: The investigations to estimate groundwater recharge were performed. Improved consideration of soil hydrologic processes yielded a convenient method to predict actual evapotranspiration and hence, groundwater recharge from easily available data. For that purpose a comprehensive data base was needed, which was created by the simulation modelSWAPcomprising 135 different site conditions and 30 simulation years each. Based upon simulated values of actual evapotranspiration, a transfer function was developed employing the parameter b in the Bagrov differential equation dEa/dP = 1- (Ea/Ep)b. Under humid conditions, the Bagrov method predicted long-term averages of actual evapotranspiration and groundwater recharge with a standard error of 15 mm year-1 (R = 0.96). Under dry climatic conditions and groundwater influence, simulated actual evapotranspiration may exceed precipitation. Since the Bagrov equation is not valid under conditions like these, a statistic-based transfer function was developed predicting groundwater recharge including groundwater depletion with a standard error of 26mm(R = 0.975). The software necessary to perform calculations is provided online.
Źródło:: International Agrophysics; 2013, 27, 1
0236-8722
Pojawia się w:: International Agrophysics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: New pedotransfer function (“CRC”) for the prediction of unsaturated soil hydraulic conductivity using soil water retention data
Autorzy:: Bohne, K.
Renger, M.
Wessolek, G.
Powiązania:: https://bibliotekanauki.pl/articles/2082651.pdf
Data publikacji:: 2019
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:: soil texture
hydraulic conductivity
transfer
function
soil water retention
Opis:: Several review articles have emphasized, that a comprehensive set of pedotransfer functions may be applied throughout a wide range of disciplines of Earth system sciences and are of great importance for land surface models. Most pedotransfer functions deducing soil hydraulic data from nonhydraulic soil data such as soil texture and bulk density, yield soil water retention predictions, but do not provide information concerning soil hydraulic conductivity. For this reason, a simple method was developed to estimate soil hydraulic conductivity using soil water retention information. Empirical equations are established to predict soil hydraulic conductivity from soil water retention information. These equations are relatively straightforward and do not require the fitting of nonlinear functions. Predictions of soil hydraulic conductivity using 106 soil samples indicates the reliable performance of the new method. The prediction quality of the new method was estimated from the calibration data set, which produced equivalent results to the Zacharias and Wessolek pedotransfer function, which were even better than the predictions obtained from the original Mualem-van Genuchten model, the Soto fractal model, and the pedotransfer function reported by Weynants and Vereecken. The stochastic structure of the calibration data reflects the presence of important soil structural properties, which are not represented by the soil water retention characteristics.
Źródło:: International Agrophysics; 2019, 33, 4; 503-510
0236-8722
Pojawia się w:: International Agrophysics
Dostawca treści:: Biblioteka Nauki