Saturated hydraulic conductivity (Ks) measurements and estimates are important for understanding and modeling hydrologic processes at the field-scale. It is a quantitative measure of saturated soil’s ability to transmit water when subjected to a hydraulic gradient. Ks plays a primary role in the infiltration process and the production of surface runoff. However, point estimates of Ks are difficult to determine and exhibit large spatial variability. Often data from field-scale rainfallrunoff experiments are utilized to assess the properties of the random field describing saturated hydraulic properties. Furthermore, standard calibration methods do not work because of non-uniqueness and identifiability concerns with experimental data. So, with these issues in mind, what is the 'best' inference we can draw about the variability of saturated hydraulic conductivity?
Estimation of Field-scale Soil Saturated Hydraulic Conductivity from Rainfall-runoff Experiments
MORBIDELLI R.;CORRADINI C.;
2019
Abstract
Saturated hydraulic conductivity (Ks) measurements and estimates are important for understanding and modeling hydrologic processes at the field-scale. It is a quantitative measure of saturated soil’s ability to transmit water when subjected to a hydraulic gradient. Ks plays a primary role in the infiltration process and the production of surface runoff. However, point estimates of Ks are difficult to determine and exhibit large spatial variability. Often data from field-scale rainfallrunoff experiments are utilized to assess the properties of the random field describing saturated hydraulic properties. Furthermore, standard calibration methods do not work because of non-uniqueness and identifiability concerns with experimental data. So, with these issues in mind, what is the 'best' inference we can draw about the variability of saturated hydraulic conductivity?I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
