Applying the Soil Water Assessment Tool to 5th Canadian Division Support Base Gagetown

A hydrologic and water quality model is sought to establish an approach to land management decisions for a Canadian Army training base. Training areas are subjected to high levels of persistent activity creating unique land cover and land-use disturbances. Deforestation, complex road networks, off-road manoeuvres, and vehicle stream crossings are among major anthropogenic activities observed to affect these landscapes. Expanding, preserving and improving the quality of these areas to host training activities for future generations is critical to maintain operational effectiveness. Inclusive to this objective is minimizing resultant environmental degradation, principally in the form of hydrologic fluctuations, excess erosion, and sedimentation of aquatic environments. Application of the Soil Water Assessment Tool (SWAT) was assessed for its ability to simulate hydrologic and water quality conditions observed in military landscapes at 5th Canadian Division Support Base (5 CDSB) Gagetown, New Brunswick. Despite some limitations, this model adequately simulated three partial years of daily watershed outflow ( NSE = 0.47–0.79, R 2 = 0.50–0.88) and adequately predicted suspended sediment yields during the observation periods (% d = 6–47%) for one highly disturbed sub-watershed in Gagetown. Further development of this model may help guide decisions to develop or decommission training areas, guide land management practices and prioritize select landscape mitigation efforts.

[1]  C. Luce,et al.  Spatial and temporal patterns in erosion from forest roads , 2013 .

[2]  I. K. Birtwell,et al.  The Effects of Sediment on Fish and their Habitat , 1999 .

[3]  Fan-Rui Meng,et al.  Watershed-level analysis of exceedance frequencies for different management strategies , 2011 .

[4]  P. Arp,et al.  A modular terrain model for daily variations in machine-specific forest soil trafficability , 2009 .

[5]  Brian Unger,et al.  The Summer Computer Simulation Conference , 1990, Simul..

[6]  Jürgen Schmidt,et al.  Soil erosion : application of physically based models , 2000 .

[7]  William J. Elliot,et al.  Geospatial Application of the Water Erosion Prediction Project (WEPP) Model , 2011 .

[8]  Helena Mitasova,et al.  Validation of a 3-D enhancement of the Universal Soil Loss Equation for prediction of soil erosion and sediment deposition , 2005 .

[9]  D. Flanagan,et al.  Geographical information system erosion assessment at a military training site , 2008, Journal of Soil and Water Conservation.

[10]  Shuguang Liu,et al.  Estimating soil erosion using the USPED model and consecutive remotely sensed land cover observations , 2007, SCSC.

[11]  William D. Goran,et al.  An erosion-based land classification system for military installations , 1989 .

[12]  Thomas A. McMahon,et al.  Physically based hydrologic modeling: 2. Is the concept realistic? , 1992 .

[13]  V. Mercier,et al.  Reducing the sensitivity of the water quality index to episodic events , 2013 .

[14]  Z. Easton,et al.  Re-conceptualizing the soil and water assessment tool (SWAT) model to predict runoff from variable source areas , 2008 .

[15]  D. Walling,et al.  Sediment Source Fingerprinting: Transforming From a Research Tool to a Management Tool 1 , 2012 .

[16]  M. R. Stevens,et al.  Temporal and Spatial Variations in Precipitation, Streamflow, Suspended-Sediment Loads and Yields, and Land-Condition Trend Analysis at the U.S. Army Pinon Canyon Maneuver Site, Las Animas County, Colorado, 1983 through 2007 , 2008 .

[17]  A. D. Roo,et al.  LISEM: a physically-based hydrological and soil erosion model incorporated in a GIS , 1996 .

[18]  G. Douglas Glysson,et al.  Guidelines and Procedures for Computing Time-Series Suspended-Sediment Concentrations and Loads from In-Stream Turbidity-Sensor and Streamflow Data , 2009 .

[19]  H. Jager,et al.  Landscape Influences on Headwater Streams on Fort Stewart, Georgia, USA , 2011, Environmental management.

[20]  P. Hamilton,et al.  Groundwater and surface water: A single resource , 2005 .

[21]  V. Jetten,et al.  Calibration of Erosion Models , 2011 .

[22]  Jeffrey J. McDonnell,et al.  Hydrograph separation using stable isotopes: Review and evaluation , 2013 .