{"product_id":"2940148859147","title":"Refinement of Regression Models to Estimate Real-Time Concentrations of Contaminants in the Menomonee River Drainage Basin, Southeast Wisconsin (2008-2011)","description":"In 2008, the U.S. Geological Survey and the Milwaukee \u003cbr\u003eMetropolitan Sewerage District initiated a study to develop \u003cbr\u003eregression models to estimate real-time concentrations and \u003cbr\u003eloads of chloride, suspended solids, phosphorus, and bacteria \u003cbr\u003ein streams near Milwaukee, Wisconsin. To collect monitoring \u003cbr\u003edata for calibration of models, water-quality sensors and automated samplers were installed at six sites in the Menomonee \u003cbr\u003eRiver drainage basin. The sensors continuously measured four \u003cbr\u003epotential explanatory variables: water temperature, specific \u003cbr\u003econductance, dissolved oxygen, and turbidity. Discrete waterquality samples were collected and analyzed for five response \u003cbr\u003evariables: chloride, total suspended solids, total phosphorus, \u003cbr\u003eEscherichia coli bacteria, and fecal coliform bacteria. Using \u003cbr\u003ethe first year of data, regression models were developed to \u003cbr\u003econtinuously estimate the response variables on the basis \u003cbr\u003eof the continuously measured explanatory variables. Those \u003cbr\u003emodels were published in a previous report. In this report, \u003cbr\u003ethose models are refined using 2 years of additional data, and \u003cbr\u003ethe relative improvement in model predictability is discussed. \u003cbr\u003eIn addition, a set of regression models is presented for a new \u003cbr\u003esite in the Menomonee River Basin, Underwood Creek at \u003cbr\u003eWauwatosa. \u003cbr\u003eThe refined models use the same explanatory variables as \u003cbr\u003ethe original models. The chloride models all used specific conductance as the explanatory variable, except for the model for \u003cbr\u003ethe Little Menomonee River near Freistadt, which used both \u003cbr\u003especific conductance and turbidity. Total suspended solids and \u003cbr\u003etotal phosphorus models used turbidity as the only explanatory variable, and bacteria models used water temperature and \u003cbr\u003eturbidity as explanatory variables","brand":"ReadCycle","offers":[{"title":"Default Title","offer_id":47149036404976,"sku":"2940148859147","price":2.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/2940148859147_p0.jpg?v=1763708771","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/2940148859147","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}