Data set used to develop a conceptual framework for effectively anticipating water-quality changes resulting from changes in agricultural activities

This USGS data release contains 2013 streamflow, baseflow, and precipitation data from three hydrologically-diverse streams in the United States used to develop a conceptual framework for effectively anticipating water-quality changes resulting from changes in agricultural activities. The framework combined generalized concepts on the movement of water, the environmental behavior of chemicals and eroded soil, and the designed functions of various agricultural activities. The framework addresses the impacts on water quality of a broad range of agricultural chemicals and sediment across a variety of hydrologic settings. • Chesterville Branch near Crumpton, Maryland, (USGS site ID - 01493112) had substantial baseflow throughout the year with increased streamflow within a day of rainfall. • Indian Creek at State Line RD, Leawood, Kansas (USGS site ID - 06893390) was a fastflow-dominated urban steam that was not well connected to shallow groundwater. • The watershed of Leary-Weber Ditch at Mohawk, Indiana (USGS site ID - 03361638) has an extensive subsurface drainage network within its watershed. These data support the following publication: Capel, P.D., Wolock, D.M., Coupe, R.H., and Roth, J.L., 2017, A conceptual framework for effectively anticipating water-quality changes resulting from changes in agricultural activities: U.S. Geological Survey Scientific Investigations Report 2017-5095, 35 p., https://doi.org/10.3133/sir20175095.

本美国地质调查局（United States Geological Survey, USGS）数据集包含美国境内3条水文特征各异的溪流的2013年河川径流、基流与降水量数据，相关数据用于构建可有效预测农业活动变化引发的水质变化的概念框架。该框架整合了水体运移规律、化学物质与侵蚀土壤的环境行为，以及各类农业活动设计功能的通用概念，可覆盖多种水文环境下多种农业化学物质与沉积物对水质的影响。
• 马里兰州克拉普顿附近的切斯特维尔支流（USGS站点编号：01493112）全年基流充足，降雨后1日内河川径流即出现增幅。
• 堪萨斯州利乌武德市州道沿线的印第安溪（USGS站点编号：06893390）为快径流主导型城市溪流，与浅层地下水连通性较差。
• 印第安纳州莫霍克地区的利里-韦伯沟渠流域（USGS站点编号：03361638）内拥有规模庞大的地下排水管网。
本数据集支撑以下已发表文献：
卡佩尔（Capel, P.D.）、沃洛克（Wolock, D.M.）、库佩（Coupe, R.H.）与罗斯（Roth, J.L.），2017年，《可有效预测农业活动变化引发的水质变化的概念框架》：美国地质调查局科学调查报告2017-5095，共35页，https://doi.org/10.3133/sir20175095。