TY - JOUR
T1 - A coupled soil water balance model for simulating depression-focused groundwater recharge
AU - Noorduijn, Saskia L.
AU - Hayashi, Masaki
AU - Mohammed, Getachew A.
AU - Mohammed, Aaron A.
N1 - Funding Information:
We thank Daniel Itenfisu for ongoing discussion on VSMB; Igor Pavlovskii for conducting terrain analysis; Polina Abdrakhimova, Larry Bentley, and Edwin Cey for all their insights and informative discussion as members of the Groundwater in the Prairies (GRIP) project team; Krystal Chin and Shelby Snow for field data collection; and Rocky View County for providing digital elevation data. The GRIP project was funded by Alberta Innovates, Alberta Energy Regulator-Alberta Geological Survey, Alberta Environment and Parks, and Alberta Agriculture and Forestry. We wish to thank Prof. Karsten Jensen and the two anonymous reviewers for comments that strengthened this work.
Publisher Copyright:
© Soil Science Society of America.
PY - 2018/2
Y1 - 2018/2
N2 - In arid and semiarid environments, focused infiltration of rain and snowmelt water under topographic depressions is an important mechanism of groundwater recharge. Quantifying the aggregated recharge from numerous small depressions is a major challenge in water resource management. Building on field-based investigations into the surface water–groundwater interaction of individual depressions and their catchments (i.e., uplands) in the Canadian Prairies, we have developed a simple water balance model to simulate groundwater recharge considering the hydrological coupling of a depression–upland system. The model is based on the Versatile Soil Moisture Budget (VSMB), which has been widely used in the Canadian Prairies to simulate soil moisture conditions. We evaluated the new model, VSMB Depression-Upland System (VSMB-DUS), using field data consisting of an artificial flooding experiment and long-term monitoring of a depression in Alberta, Canada. The model captured surface water level, soil moisture, and groundwater responses to the artificial flooding with reasonable accuracy and represented the interannual variability of recharge fluxes during a 5-yr period (2007–2011), including dry and wet years. Simulated annual recharge varied between 12 and 45 mm, and annual precipitation varied between 453 and 597 mm during the 5-yr period. The VSMB-DUS tends to over- or underestimate snowmelt runoff in individual years; however, simulated recharge was only slightly affected by the errors in snowmelt runoff estimation. Due to its computational efficiency and robust algorithms, the VSMB-DUS will provide a useful tool for estimating aggregated recharge in a large-scale model grid cell containing hundreds of depression-upland systems.
AB - In arid and semiarid environments, focused infiltration of rain and snowmelt water under topographic depressions is an important mechanism of groundwater recharge. Quantifying the aggregated recharge from numerous small depressions is a major challenge in water resource management. Building on field-based investigations into the surface water–groundwater interaction of individual depressions and their catchments (i.e., uplands) in the Canadian Prairies, we have developed a simple water balance model to simulate groundwater recharge considering the hydrological coupling of a depression–upland system. The model is based on the Versatile Soil Moisture Budget (VSMB), which has been widely used in the Canadian Prairies to simulate soil moisture conditions. We evaluated the new model, VSMB Depression-Upland System (VSMB-DUS), using field data consisting of an artificial flooding experiment and long-term monitoring of a depression in Alberta, Canada. The model captured surface water level, soil moisture, and groundwater responses to the artificial flooding with reasonable accuracy and represented the interannual variability of recharge fluxes during a 5-yr period (2007–2011), including dry and wet years. Simulated annual recharge varied between 12 and 45 mm, and annual precipitation varied between 453 and 597 mm during the 5-yr period. The VSMB-DUS tends to over- or underestimate snowmelt runoff in individual years; however, simulated recharge was only slightly affected by the errors in snowmelt runoff estimation. Due to its computational efficiency and robust algorithms, the VSMB-DUS will provide a useful tool for estimating aggregated recharge in a large-scale model grid cell containing hundreds of depression-upland systems.
UR - http://www.scopus.com/inward/record.url?scp=85054414717&partnerID=8YFLogxK
U2 - 10.2136/vzj2017.10.0176
DO - 10.2136/vzj2017.10.0176
M3 - Article
AN - SCOPUS:85054414717
SN - 1539-1663
VL - 17
JO - Vadose Zone Journal
JF - Vadose Zone Journal
IS - 1
M1 - 170176
ER -