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CONTINUOUS REAL-TIME WATER-QUALITY MONITORING OF KANSAS STREAMS

机译:持续实时水质监测堪萨斯州流

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A continuous, real-time water-quality monitoring system was developed for 13 stream sites in Kansas thateliminates the waiting time inherent in chemical analyses reported by a laboratory and provides continuous estimates ofconstituent concentrations and loads. The U.S. Geological Survey (USGS) monitoring system is described, and itseffectiveness in characterizing water quality is evaluated using discrete water-quality samples collected from 1995 through2002 and continuous water-quality monitor data from the first 4 years of operation with examples from two stream sites onthe Little Arkansas River in south-central Kansas. Because sensor technology currently is not available to directly measuremany chemicals of interest in a stream, regression models are developed to relate constituents in laboratory-analyzed sampleswith in-stream continuous-sensor measurements. Concentration estimates traditionally have used continuous streamflow dataonly; however, most constituents are more accurately estimated with continuous specific conductance or turbiditymeasurements. As the hourly sensor measurements are transmitted from the stream sites to the USGS computers inLawrence, Kansas, the models are applied, and the computed estimates displayed on a Web page athttp://ks.water.usgs.gov/Kansas/rtqw/. Currently, continuous estimated concentrations and loads of sediment, major ions,select nutrients, atrazine, and indicator bacteria, and uncertainty of the estimates are displayed. Information from this systemis used by water suppliers to modify treatment of water, by State and local agencies in total maximum daily load (TMDL)programs, and to alert recreational water users of potential health risks.
机译:在堪萨斯州的13个溪流场上开发了连续的实时水质监测系统,据称是实验室报告的化学分析中固有的等待时间,并提供连续估计的浓度和负载。描述了美国地质调查(USGS)监测系统,并且使用从1995年至2002年的离散水质样本和从两个流网站的示例中操作的离散水质样本来评估所需的离散水质样本,评估水质的特性。在堪萨斯州中南部的小阿肯色州河上。由于传感器技术目前无法直接测量流动的感兴趣的化学物质,因此开发了回归模型,以使实验室分析的样品中的成分与流中的综合传感器测量相关。浓度估计传统上使用了连续的流流量;然而,大多数成分以持续的特定电导或浊度模糊更准确地估计。随着每小时的传感器测量从流站点传输到USGS计算机Inlawrence,堪萨斯州,应用模型,以及在网页上显示的计算估计值Athttp://ks.water.usgs.gov/kansas/rtqw/。目前,展示持续估计浓度和沉积物,主要离子,选择营养素,尿嘧啶和指示物细菌,以及估算的不确定性。来自该系统的信息供水者使用的供应商来修改水,状态和当地机构在总日常负荷(TMDL)方案中的治疗,并提醒休闲用水用户的潜在健康风险。

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