@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 amajor 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={Water Environment ResearchVolume 69, Issue 4 p. 844-860 Fate and Effect of PollutantFree Access Nonpoint sources Daniel E. Line, Daniel E. LineSearch for more papers by this authorDeanna L. Osmond, Deanna L. OsmondSearch for more papers by this authorSteven W. Coffey, Steven W. CoffeySearch for more papers by this authorRichard A. McLaughlin, Richard A. McLaughlinSearch for more papers by this authorGregory D. Jennings, Gregory D. JenningsSearch for more papers by this authorJudith A. Gale, Judith A. GaleSearch for more papers by this authorJean Spooner, Jean SpoonerSearch for more papers by this author Daniel E. Line, Daniel E. LineSearch for more papers by this authorDeanna L. Osmond, Deanna L. OsmondSearch for more papers by this authorSteven W. Coffey, Steven W. CoffeySearch for more papers by this authorRichard A. McLaughlin, Richard A. McLaughlinSearch for more papers by this authorGregory D. Jennings, Gregory D. JenningsSearch for more papers by this authorJudith A. Gale, Judith A. GaleSearch for more papers by this authorJean Spooner, Jean SpoonerSearch for more papers by this author First published: 15 June 1997 https://doi.org/10.2175/106143097X135055Citations: 10AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Citing Literature Volume69, Issue41997 Literature ReviewJune 1997Pages 844-860 RelatedInformation}, 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 thespatially distributed pollutant runoff model, AGNPS, was developed as a component of the WATERSHEDSS decisionsupport system. In addition to automatically computing input data from basic soils, topography, and land use maps, thismodeling tool adds the capability to input point source, channel characteristic, and pesticide application data for userselectedareas in the watershed. The tool was used to simulate runoff and sediment, nitrogen, and phosphorus loads for asmall gaged watershed located in North Carolina. Output from the tool was compared to observed runoff and pollutantloads for 11 storms. Statistical comparisons between observed and model-simulated loads at two monitoring stationsshowed no significant difference between observed and predicted runoff volumes and nitrogen, phosphorus, and sedimentloads, 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} }