Vulnerability of shallow ground water and drinking-water wells to nitrate in the United States: Model of predicted nitrate concentration in U.S. ground water used for drinking (simulation depth 50 meters) -- Input data set for Hortonian overland flow (gwava-dw_hor)

These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This data set represents infiltration excess overland flow estimated by TOPMODEL, in percent of streamflow, in the conterminous United States. The data set was used as an input data layer for a national model to predict nitrate concentration in ground water used for drinking. Nolan and Hitt (2006) developed two national models to predict contamination of ground water by nonpoint sources of nitrate. The nonlinear approach to national-scale Ground-WAter [...]

本数据集的发布时间早于2016年10月1日，即美国地质调查局（United States Geological Survey, USGS）规范科学数据审查、批准与发布的政策生效日期，该政策的依据为USGS《勘测手册》第502.8章《基础科学实践：科学数据发布的审查与批准》。本数据集涵盖美国本土范围内由TOPMODEL估算的超渗地表径流（infiltration excess overland flow）数据，该数据以河川径流量百分比为计量单位。该数据集曾作为输入数据图层，应用于一款用于预测饮用水源地下水中硝酸盐浓度的国家级模型。Nolan与Hitt（2006）开发了两款国家级模型，用于预测非点源硝酸盐对地下水的污染。针对国家级尺度地下水的非线性研究方法……