Modeling the effectiveness of conservation practices at Shoal Creek watershed, Texas, using APEX.

This study was conducted to evaluate the performance of the Agricultural Policy/Environmental eXtender (APEX) model using daily storm event runoff and sediment yields (1997-2005) collected at the outlet of the 22.5 km2 Shoal Creek watershed. This watershed only has intermittent streams. The watershed is within the U.S. Army's Fort Hood military reservation in central Texas. It received a combination of erosion control practices including implementation of gully plugs and contour soil ripping. APEX was calibrated and validated with a 183-subarea configuration delineated from a 5 m digital elevation model. Results from model calibration and validation confirmed that APEX was able to realistically estimate daily runoff and sediment yield for both the pre- and post-BMP conditions, as evidenced by R2 values ranging from 0.60 to 0.80 and Nash-Sutcliffe efficiency (EF) values ranging from 0.58 to 0.77 with an exception of 0.33. During the post-BMP period, the total sediment yield was significantly less than that from the pre-BMP period, even though the corresponding total precipitation amount from the post-BMP events (1025 mm) was more than that from the pre-BMP events (668 mm). The simulated sediment yield was summed up to 24.3 Mg ha-1 for the pre-BMP events and 7.6 Mg ha-1 for the post-BMP events, which were very close to the measured values of 24.9 and 8.1 Mg ha-1, respectively. The benefits of the existing BMPs were quantified as a reduction of 52% in runoff and 86% in sediment yield based on comparisons between predictions from the run using the pre-BMP model setup and measured values under BMP conditions. The results suggest that APEX is capable of simulating conservation practices on military landscapes, and that it a useful tool for scenario analysis to evaluate the effectiveness of conservation practices.

[1]  Jimmy R. Williams Sediment Routing for Agricultural Watersheds , 1975 .

[2]  Walter J. Rawls,et al.  Field manual for research in agricultural hydrology. , 1979 .

[3]  Jimmy R. Williams,et al.  Predicting soil erosion for alternative land uses. , 2006, Journal of environmental quality.

[4]  A. R. Dedrick,et al.  The length we go: Measuring environmental benefits of conservation practices , 2004 .

[5]  Jay D. Atwood,et al.  APEX USERS GUIDE v. 2110 , 2006 .

[6]  J. Williams,et al.  Reducing atrazine losses: water quality implications of alternative runoff control practices. , 2004, Journal of environmental quality.

[7]  Paul A. Martin,et al.  Bases of Readiness: Installation Sustainability and the Future of Transformation , 2003 .

[8]  Dwayne R. Edwards,et al.  Poultry Litter-treated Length Effects on Quality of Runoff from Fescue Plots , 1996 .

[9]  D. K. Walkowiak,et al.  Isco open channel flow measurement handbook , 2006 .

[10]  Jeffrey G. Arnold,et al.  APPLICATION OF A WATERSHED MODEL TO EVALUATE MANAGEMENT EFFECTS ON POINT AND NONPOINT SOURCE POLLUTION , 2001 .

[11]  R. C. Izaurralde,et al.  Historical Development and Applications of the EPIC and APEX Models , 2004 .

[12]  Richard A C Cooke,et al.  BMP impacts on watershed runoff, sediment, and nutrient yields , 1994 .

[13]  Jimmy R. Williams,et al.  Simulating soil C dynamics with EPIC: Model description and testing against long-term data , 2006 .

[14]  Jeffrey G. Arnold,et al.  Development of a continuous soil moisture accounting procedure for curve number methodology and its behaviour with different evapotranspiration methods , 2008 .

[15]  Carol B. Griffin Uncertainty analysis of BMP effectiveness for controlling nitrogen from urban nonpoint sources , 1995 .

[16]  Armen Ricardo Kemanian,et al.  Modeling the impacts of soil management practices on runoff, sediment yield, maize productivity, and soil organic carbon using APEX , 2008 .

[17]  V. Singh,et al.  The EPIC model. , 1995 .

[18]  Richard A C Cooke,et al.  Assessment of management alternatives on a small agricultural watershed , 1997 .

[19]  Raghavan Srinivasan,et al.  A modeling approach to evaluate the impacts of water quality management plans implemented in a watershed in Texas , 2006, Environ. Model. Softw..

[20]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[21]  John R. Williams,et al.  The erosion-productivity impact calculator (EPIC) model: a case history , 1990 .

[22]  John R. Williams Sediment-yield prediction with Universal Equation using runoff energy factor , 1975 .