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W. J. Shampine

Publications and source records attributed to W. J. Shampine.

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Guidelines for preparing a quality assurance plan for district offices of the U.S. Geological Survey

The U.S. Geological Survey has a policy that requires each District office to prepare a Quality Assurance Plan. This plan is a combination of a District's management principles and quality assurance processes. The guidelines presented in this report provide a framework or expanded outline that a District can use to prepare a plan. Parti- cular emphasis is given to a District's: (1) quality assurance policies; (2) organization and staff responsibilities; and (3) program and project planning. The guidelines address the 'how', 'what', and 'who' questions that need to be answered when a District Quality Assurance Plan is prepared.

Open-File Report

Integrating quality assurance in project work plans of the U.S. Geological Survey

The U.S. Geological Survey's objectives for including quality assurance procedures in a project work plan are to ensure that the quality of the data collected is defined and is appropriate for the objectives of the investigation. The data- quality information can be used in the interpre- tation of the data. A project work plan that includes quality assessment provides definable benefits such as clarity of expectations, a method for obtaining a set of data that is expected and has been proven valid, a documentation trail, products that are produced on time and that meet project objectives, and a decrease in work that is lost or redone. Project chiefs must prepare and can publish the work plan for scientific investigations. An expanded outline of a framework that can be used to prepare a project work plan that includes quality assurance is described in this report and contains the following topics: data-quality objectives; project organization and responsibilities; data collection; data processing; project reviews; data analysis; remedial actions; project progress reports and quality assurance reports to management.

Open-File Report

Indiana stream-temperature characteristics

Periodic stream-temperature data have been collected at 280 different sites in Indiana by the U.S. Geological Survey and the Indiana State Board of Health. These data have been analyzed using a simple-harmonic curve-fitting procedure. When the equation coefficients are known, calculations can be made for a given stream to estimate the maximum and minimum temperatures, the temperature on a given day, the day a given temperature is expected, or the length of time temperatures will exceed, or be less than, a specific. The calculated harmonic coefficients were related to 23 topographic, basin, and climatic characteristics, and were analyzed by multiple-regression analysis techniques. The regional regression analysis for the harmonic- mean stream temperature, M, resulted in the following arithmetic function of station latitude (LAT). M = 41.36 - 0.7166 (LAT) The multiple correlation coefficient (r) was .72. Poor correlations were found for the harmonic phase-angle and amplitude coefficients, C and A, respectively. Constants of 4.32 radians for C and 11.27° Celsius for A are suggested as average statewide values in Indiana streams. The mean temperature of the White River at Indianapolis was raised 3.5° Celsius above expected ambient levels caused by climatic conditions alone, primarily as a result of discharges from powerplants. In general, the harmonic coefficients depicting annual variability in stream temperatures, generated from the Indiana State board of Health data collected every 2 weeks, are the same as coefficients generated from the U.S. Geological Survey date collected every 4-6 weeks.

Indiana