@article{stone_hunt_johnson_coffey_1998, title={GLEAMS simulation of groundwater nitrate-N from row crop and swine wastewater spray fields in the eastern coastal plain}, volume={41}, DOI={10.13031/2013.17156}, abstractNote={Nonpoint source pollution of surface and groundwater resulting from agricultural management practices is a 
major water quality problem. This problem was assessed on a demonstration watershed in the Cape Fear River Basin of North Carolina, during a five-year study. Groundwater was monitored in a row crop field (corn/wheat/soybean) and a swine waste spray field (Coastal bermuda grass). Groundwater nitrate-N concentrations averaged 6.5 mg/L in the row crop field. Nitrate-N concentrations in groundwater at the swine waste spray field exceeded 80 mg/L. Nitrate-N concentrations were simulated in both fields with the GLEAMS model. The GLEAMS model simulated groundwater nitrate-N concentrations with mean residuals (simulated-observed) ±1.3 mg/L and ±19 mg/L, respectively, for the row crop and the swine waste spray field. Groundwater nitrate-N concentrations have been reduced in the spray field by using improved management practices and the GLEAMS model simulated this nitrate-N concentration reduction. These simulation results show that the GLEAMS model can be used to predict nitrate-N loading of groundwater of these agricultural management systems.}, number={1}, journal={Transactions of the ASAE}, author={Stone, K. C. and Hunt, P. G. and Johnson, M. H. and Coffey, S. W.}, year={1998}, pages={51–57} }
 @misc{line_osmond_coffey_mclaughlin_jennings_gale_spooner_1997, title={Nonpoint sources}, volume={69}, ISSN={["1554-7531"]}, DOI={10.2175/106143097X135055}, abstractNote={Micellar Solubilization of Polynuclear Aromatic Hydrocarbons in Coal Tar-Contaminated Soils. Environ. Sci. Technol., 30,2104. Yiacoumi, S., and Rao, A.V. (1996) Organic Solute Uptake from Aqueous Solutions by Soil: A New Diffusion Model. Water Resour. Res., 32, 431. Yonezawa, e.; Tanaka, T.; and Kamioka, H. (1996) Water-Rock Reactions During Gamma-Ray Irradiation. Appl. Geochem., 11, 461. Yoon, J.-H., and Shoemaker, e.A. (1996) Applications of SALQR and Evolutionary Algorithms to Optimization of Groundwater Bioremediation. Computat. Methods Water Resour. XI, Cancun, Mexico, Computational Mechanics Publications, Southampton, U.K., 1,383. You, e.N., and Liu, J.e. (1996) Desorptive Behavior of Chlorophenols in Contaminated Soils. Water Sci. Technol. (G.B.), 33, 263. You, G.R.; Sayles, G.D.; Kupferle, M.J.; Kim, I.S.; and Bishop, P.L. (1996) Anaerobic DDT Biotransformation: Enhancement by Application of Surfactants and Low Oxidation Reduction Potential. Chemosphere, 32, 2269. Yu, S.C.T. (1995) Transport and Fate of Chlorinated Hydrocarbons in the Vadose Zone-A Literature Review with Discussions on Regulatory Implications. J. Soil Contam., 4, 25. Yu, Y.S.; Bailey, G.W.; and Jin, X.C. (1996) Application of a Lumped, Nonlinear Kinetics Model to Metal Sorption on Humic Substances. 1. Environ. Qual., 25, 552. Zaidel, J.; Russo, D.; and Feldman, G. (1996) Theoretical Analysis of the Impact of Vapor Transport on the NAPL Distribution in Dry Soils. Adv. Water Resour., 19, 145. Zegeling, P.A. (1996) Numerical Solution of Advection-Dispersion Models Using Dynamically-Moving Adaptive Grids. Computat. Methods Water Resour. XI, Cancun, Mex., Computational Mechanics Publications, Southampton, U.K., 1, 593. Zhang, D., and Zhang, Y.-K. (1996) Higher-Order Velocity Covariance and Its Effect on Advective Transport in Three-Dimensional Heterogeneous Anisotropic Media. Computat. Methods Water Resour. Xl, Cancun, Mex., Computational Mechanics Publications, Southampton, U.K., 1, 689. Zhang, D.X., and Neuman, S.P. (1996a) Head and Velocity Covariances Under Quasi-Steady State Flow and Their Effects on Advective Transport. Water Resour. Res., 32,77.}, number={4}, journal={WATER ENVIRONMENT RESEARCH}, author={Line, DE and Osmond, DL and Coffey, SW and McLaughlin, RA and Jennings, GD and Gale, JA and Spooner, J}, year={1997}, month={Jun}, pages={844–860} }
 @article{line_coffey_osmond_1997, title={WATERSHEDSS grass-AGNPS model tool}, volume={40}, DOI={10.13031/2013.21348}, abstractNote={A modeling tool that utilizes a raster-based geographic information system to build an input file for the 
spatially distributed pollutant runoff model, AGNPS, was developed as a component of the WATERSHEDSS decision 
support system. In addition to automatically computing input data from basic soils, topography, and land use maps, this 
modeling tool adds the capability to input point source, channel characteristic, and pesticide application data for userselected 
areas in the watershed. The tool was used to simulate runoff and sediment, nitrogen, and phosphorus loads for a 
small gaged watershed located in North Carolina. Output from the tool was compared to observed runoff and pollutant 
loads for 11 storms. Statistical comparisons between observed and model-simulated loads at two monitoring stations 
showed no significant difference between observed and predicted runoff volumes and nitrogen, phosphorus, and sediment 
loads, indicating that the modeling tool provides reasonable estimates of pollutant loads from storm events.}, number={4}, journal={Transactions of the ASAE}, author={Line, D. E. and Coffey, S. W. and Osmond, Deanna}, year={1997}, pages={971–975} }
 @article{osmond_gannon_gale_line_knott_phillips_turner_foster_lehning_coffey_et al._1997, title={WATERSHEDSS: A decision support system for watershed-scale nonpoint source water quality problems}, volume={33}, ISSN={["0043-1370"]}, DOI={10.1111/j.1752-1688.1997.tb03513.x}, abstractNote={ABSTRACT:  A significant portion of all pollutants entering surface waters (streams, lakes, estuaries, and wetlands) derives from non‐point source (NPS) pollution and, in particular, agricultural activities. The first step in restoring a water resource is to focus on the primary water quality problem in the watershed. The most appropriate NPS control measures, which include best management practices (BMPs) and landscape features, such as wetlands and riparian areas, can then be selected and positioned to minimize or mitigate the identified pollutant(s). A computer‐based decision sup. port and educational software system, WATERSHEDSS (WATER, Soil, and Hydro‐Environmental Decision Support System), has been developed to aid managers in defining their water quality problems and selecting appropriate NPS control measures. The three primary objectives of WATERSHEDSS are (1) to transfer water quality and land treatment information to watershed managers in order to assist them with appropriate land management/land treatment decisions; (2) to assess NPS pollution in a watershed based on user‐supplied information and decisions; and (3) to evaluate, through geographical information systems‐assisted modeling, the water quality effects of alternative land treatment scenarios. WATERSHEDSS is available on the World Wide Web (Web) at http://h2osparc.wq.ncsu.edu.}, number={2}, journal={JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION}, author={Osmond, DL and Gannon, RW and Gale, JA and Line, DE and Knott, CB and Phillips, KA and Turner, MH and Foster, MA and Lehning, DE and Coffey, SW and et al.}, year={1997}, month={Apr}, pages={327–341} }