Maximized Utility of the Global Positioning System, HR-316, 1991

This report describes a project begun in January 1989 and completed December 1990, with the primary objective of obtaining sufficiently accurate horizontal and vertical control by using Global Positioning System (GPS) for highway applications. The ISU research group studied the operations of the Ashtech GPS receiver in static, pseudo-static, kinematic, and pseudo-kinematic modes. By using the Electronic Distance Measuring Instrument (EDMI) Calibration Baseline at ISU, the GPS receiver was tested for distance measurement accuracy. It was found that GPS measurements differed from the baseline distance by about 5.3 mm. Four projects were undertaken to further evaluate and improve the horizontal as well as the vertical accuracies of the GPS receiver -- (1) The Campus Project: with all points concentrated within a one-mile radius; (2) The Des Moines Project: a typical DOT project with all the points within a five-mile radius; (3) The Iowa Project: with all points within a 100-mile radius in the state of Iowa; and (4) The Mustang Project: an extension of the Iowa project, including a typical DOT project of about 10 miles within the inner 30 mile radius of the Iowa project.

Guidelines for Cleaning up Former Methamphetamine Labs, June 2009

Methamphetamine (meth) drug labs are not a new hazard to Iowa. In 2004, federal, state and local authorities seized more than 1,400 Iowa labs. These labs are discovered in houses, apartments, motel rooms, motor vehicles, and even an occasional combine. A dramatic decrease in the number of meth labs occurred in 2005 when a law restricting the purchase of pseudo-ephedrine was implemented. Although the number of meth labs has decreased, they continue to exist. Since there is currently no official federal guidance or regulations on how to clean up a former meth lab, the Iowa Department of Public Health, Division of Environmental Health, has created these basic guidelines to assist public health officials, property owners and the general public in cleaning up former meth lab properties.

Methods for Estimating Annual Exceedance-Probability Discharges for Streams in Iowa, Based on Data through Water Year 2010, TR-519, 2013

A statewide study was performed to develop regional regression equations for estimating selected annual exceedance- probability statistics for ungaged stream sites in Iowa. The study area comprises streamgages located within Iowa and 50 miles beyond the State’s borders. Annual exceedanceprobability estimates were computed for 518 streamgages by using the expected moments algorithm to fit a Pearson Type III distribution to the logarithms of annual peak discharges for each streamgage using annual peak-discharge data through 2010. The estimation of the selected statistics included a Bayesian weighted least-squares/generalized least-squares regression analysis to update regional skew coefficients for the 518 streamgages. Low-outlier and historic information were incorporated into the annual exceedance-probability analyses, and a generalized Grubbs-Beck test was used to detect multiple potentially influential low flows. Also, geographic information system software was used to measure 59 selected basin characteristics for each streamgage. Regional regression analysis, using generalized leastsquares regression, was used to develop a set of equations for each flood region in Iowa for estimating discharges for ungaged stream sites with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities, which are equivalent to annual flood-frequency recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively. A total of 394 streamgages were included in the development of regional regression equations for three flood regions (regions 1, 2, and 3) that were defined for Iowa based on landform regions and soil regions. Average standard errors of prediction range from 31.8 to 45.2 percent for flood region 1, 19.4 to 46.8 percent for flood region 2, and 26.5 to 43.1 percent for flood region 3. The pseudo coefficients of determination for the generalized leastsquares equations range from 90.8 to 96.2 percent for flood region 1, 91.5 to 97.9 percent for flood region 2, and 92.4 to 96.0 percent for flood region 3. The regression equations are applicable only to stream sites in Iowa with flows not significantly affected by regulation, diversion, channelization, backwater, or urbanization and with basin characteristics within the range of those used to develop the equations. These regression equations will be implemented within the U.S. Geological Survey StreamStats Web-based geographic information system tool. StreamStats allows users to click on any ungaged site on a river and compute estimates of the eight selected statistics; in addition, 90-percent prediction intervals and the measured basin characteristics for the ungaged sites also are provided by the Web-based tool. StreamStats also allows users to click on any streamgage in Iowa and estimates computed for these eight selected statistics are provided for the streamgage.