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The Variable Saturation Hydraulic Conductivity Method for Improving Soil Water Content Simulation in EPIC and APEX Models

Journal Article · · Vadose Zone Journal
 [1];  [2];  [1];  [3];  [4];  [1];  [1]
  1. Texas A&,M AgriLife Research Blackland Research and Extension Center Temple TX 76502
  2. Dep. of Geographical Sciences Univ. of Maryland College Park MD 20742
  3. USDA–NRCS Blackland Research and Extension Center Temple TX 76502
  4. Texas A&,M AgriLife Research Blackland Research and Extension Center Temple TX 76502, Dep. of Geographical Sciences Univ. of Maryland College Park MD 20742
Core Ideas

We propose VSHC for calculating soil water percolation in continuous models.

VSHC relates permeability to daily hydraulic properties to estimate hydraulic conductivity.

VSHC performed well at field scale and improved estimates of peak streamflows.

Soil water percolation is a key process in the life cycle of water in fields, watersheds, and river basins. The Environmental Policy Integrated Climate (EPIC) and the Agricultural Policy/Environmental eXtender (APEX) are continuous models developed for evaluating the environmental effects of agricultural management. Traditionally, these models have simulated soil water percolation processes using a tipping‐bucket approach, with the rate of flow limited by the saturated hydraulic conductivity. This simple approach often leads to inaccuracy in simulating elevated soil water conditions where soil water content (SWC) levels may remain above field capacity under prolonged wet weather periods or limited drainage. To overcome this deficiency, a new submodel, the variable saturation hydraulic conductivity (VSHC) method, was developed for simulating soil water percolation processes using a nonlinear equation to estimate the effective hydraulic conductivity as a function of the SWC and soil properties. The VSHC method was evaluated at three sites in the United States and two sites in Europe. In addition, a numerical solution of the Richards equation was used as a benchmark for SWC comparison. Results show that the VSHC method substantially improves the accuracy of the SWC simulation in long‐term simulations, particularly during wet periods. At the watershed scale, results on the Riesel Y2 watershed indicate that the VSHC method enhances model performance in the high‐flow regime of channel peak flows because of the improved estimation of SWC, which implies that the improved SWC simulation at the field scale is beneficial to hydrologic modeling at the watershed scale.

Sponsoring Organization:
USDOE
Grant/Contract Number:
FC02-07ER64494
OSTI ID:
1582108
Alternate ID(s):
OSTI ID: 1541973
Journal Information:
Vadose Zone Journal, Journal Name: Vadose Zone Journal Journal Issue: 13 Vol. 16; ISSN 1539-1663
Publisher:
Wiley Blackwell (John Wiley & Sons)Copyright Statement
Country of Publication:
United States
Language:
English

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