<abstract xmlns="http://www.w3.org/1999/xhtml">Global climate change is projected to continue and result in prolonged and more intense droughts, which can increase soil water repellency (SWR). To be able to estimate the consequences of SWR on vadose zone hydrology, it is important to determine soil hydraulic properties (SHP). Sequential modeling using HYDRUS (2D/3D) was performed on an experimental field site with artificially imposed drought scenarios (moderately M and severely S stressed) and a control plot. First, inverse modeling was performed for SHP estimation based on water and ethanol infiltration experimental data, followed by model validation on one selected irrigation event. Finally, hillslope modeling was performed to assess water balance for 2014. Results suggest that prolonged dry periods can increase soil water repellency. Inverse modeling was successfully performed for infiltrating liquids, water and ethanol, with <italic>R2</italic> and model efficiency (<italic>E</italic>) values both > 0.9. SHP derived from the ethanol measurements showed large differences in van Genuchten-Mualem (VGM) parameters for the M and S plots compared to water infiltration experiments. SWR resulted in large saturated hydraulic conductivity (<italic>Ks</italic>) decrease on the M and S scenarios. After validation of SHP on water content measurements during a selected irrigation event, one year simulations (2014) showed that water repellency increases surface runoff in non-structured soils at hillslopes.</abstract>

Global climate change is projected to continue and result in prolonged and more intense droughts, which can increase soil water repellency (SWR). To be able to estimate the consequences of SWR on vadose zone hydrology, it is important to determine soil hydraulic properties (SHP). Sequential modeling using HYDRUS (2D/3D) was performed on an experimental field site with artificially imposed drought scenarios (moderately M and severely S stressed) and a control plot. First, inverse modeling was performed for SHP estimation based on water and ethanol infiltration experimental data, followed by model validation on one selected irrigation event. Finally, hillslope modeling was performed to assess water balance for 2014. Results suggest that prolonged dry periods can increase soil water repellency. Inverse modeling was successfully performed for infiltrating liquids, water and ethanol, with R2 and model efficiency (E) values both > 0.9. SHP derived from the ethanol measurements showed large differences in van Genuchten-Mualem (VGM) parameters for the M and S plots compared to water infiltration experiments. SWR resulted in large saturated hydraulic conductivity (Ks) decrease on the M and S scenarios. After validation of SHP on water content measurements during a selected irrigation event, one year simulations (2014) showed that water repellency increases surface runoff in non-structured soils at hillslopes.

Inverse estimation of soil hydraulic properties and water repellency following artificially induced drought stress

Faculty of Agriculture, Department of Soil Amelioration

University of Natural Resources and Life Sciences Vienna (BOKU)

Institute of Hydraulics and Rural Water Management

Austrian Agency for Health and Food Safety (AGES), Institute for Plant Protection Products

Journal of Hydrology and Hydromechanics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Global climate change is projected to continue and result in prolonged and more intense droughts, which can increase soil water repellency (SWR). To be able to...

Inverse estimation of soil hydraulic properties and water repellency following artificially induced drought stress

Data publikacji: 06 lut 2018

Zakres stron: 170 - 180

Otrzymano: 17 lip 2017

Przyjęty: 29 gru 2017

DOI: https://doi.org/10.2478/johh-2018-0002

Słowa kluczowe
Inverse modeling, Water and ethanol infiltration, SHP estimation, Water dynamics, HYDRUS (2D/3D)

© 2018 Vilim Filipović et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Inverse estimation of soil hydraulic properties and water repellency following artificially induced drought stress

Data publikacji: 06 lut 2018

Zakres stron: 170 - 180

Otrzymano: 17 lip 2017

Przyjęty: 29 gru 2017

DOI: https://doi.org/10.2478/johh-2018-0002

Słowa kluczoweInverse modeling, Water and ethanol infiltration, SHP estimation, Water dynamics, HYDRUS (2D/3D)

© 2018 Vilim Filipović et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Inverse modeling, Water and ethanol infiltration, SHP estimation, Water dynamics, HYDRUS (2D/3D)