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W. J. Shampine

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

7 recordsLinked to original sources

Quality assurance and quality control in monitoring programs

There are three general characteristics of the data to be collected in a monitoring program that should be met in order to maximize the use and value of the data: the data quality should be known the data type and quality should be consistent and comparable, and the data should be available and accessible. Potential problems with each of these characteristics are addressed effectively by quality assurance and quality control. One of the most important aspects of quality assurance in a monitoring program is the development of a quality assurance plan, which should identify clearly the quality of the data needed and describe in detail the planned actions to provide confidence that the program will meet its stated objectives. Quality control data, which allow for the quality and suitability of the environmental data to be evaluated and ascertained, should be collected and utilized as an integral part of the QA effort associated with a monitoring program.

Conference Paper↗

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↗

Availability of ground water in Marion County, Indiana

County constitute the most extensive aquifers in the county. Four areally distinct sand and gravel aquifers were mapped in the drift during the course of this study. The aquifer of greatest economic importance consists of sand and gravel deposits of glacial-outwash origin which coincide with the courses of the White River and Fall Creek. Ground water in this aquifer is generally unconfined. Three thin, areally discontinuous, sheetlike deposits of sand and gravel situated one above the other occur in the till-plain area of the county. These deposits coalesce in some areas, but generally are separated by beds of silt and clay of varying thickness which cause the ground water in the till-plain aquifers to be semiconfined. The uppermost 100 feet (30 metres) or so of limestone and (or) dolomite underlying the glacial drift constitutes an aquifer of secondary importance in the county. This aquifer is separated from the unconsolidated aquifers either by silt and clay or by shale. The present movement of ground water through these aquifers is generally toward the White River, Fall Creek, Eagle Creek or Buck Creek. Based on seepage data, water levels in the aquifers in April and May 1974, and subsequent electric-analog-model analysis, discharge of ground water by seepage into the streams in the glacial outwash averages about 42 cubic feet per day per foot (3.9 cubic metres per day per metre) of channel length. A four-layer electric-analog model incorporating the geometry and hydraulic characteristics of the aquifers, the confining beds and the stream- aquifer connection was constructed to determine the feasibility and hydrologic results of proposed plans for future ground-water development. Three large well fields were simulated in the model of the glacial-outwash aquifer, with pumping nodes situated so as to take advantage both of high transmissivity areas in the aquifer, and of recharge from the streams. A series of model experiments were carried out to test the capacity of the aquifers to sustain increases in pumpage. In all of these, a new equilibrium was established within 6 years of simulated pumpage. In two of these experiments, water levels in the discharging wells were allowed to draw down to approximately half of the saturated thickness of the glacial-outwash aquifer. At this drawdown limit, the total discharge of wells in the system was found to be 59 million gallons per day (2.6 cubic second) assuming that the streams were fully connected to the upper third of the glacial-outwash aquifer. In two other experiments, discharging wells were allowed to drawdown an average of two-thirds of the saturated thickness of the glacial-outwash aquifer. At this limit, the total discharge was found to be 72 million gallons per day (3.2 cubic metres per second) using the conservative stream-aquifer connection, and 103 million gallons per day (4.5 cubic metres per second) assuming a full connection. Some dewatering of the aquifer was associated with the 72 million gallons per day (3.2 cubic metres per second) discharge. In all experiments, the amount that could be pumped from the confined aquifers without disturbing existing domestic wells was found to be small.

Indiana↗