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G.P. Thelin

Publications and source records attributed to G.P. Thelin.

6 recordsLinked to original sources

Shaded relief map of US topography from digital elevations

Much geologic and geophysical information that lies encoded within land surface form can be revealed by image processing large files of digitized elevations in fast machines and mapping the results. This convergence of computers, analytic software, data, and output devices has created exciting opportunities for automating the numerical and spatial study of topography. One recent result is the accompanying shaded relief map of the conterminous 48 states. A shaded relief image of topography mimics a cloud-free monochrome aerial photograph taken at low Sun. Gray tones represent different terrain slopes and azimuths calculated from adjacent elevations stored in a uniform grid, or digital elevation model (DEM). Sun elevation and direction can be varied to generate complementary views of the same area. The synoptic coverage of these computer images is a major advantage; unlike a photograph, image extent is limited only by size of the elevation array. Shaded relief maps also are free of the distortion found in radar images and of the vegetation and cultural features that mask topographic form on Landsat and SPOT images.

Eos, Transactions, American Geophysical Union↗

Estimating watershed level nonagricultural pesticide use from golf courses using geospatial methods

Limited information exists on pesticide use for nonagricultural purposes, making it difficult to estimate pesticide loadings from nonagricultural sources to surface water and to conduct environmental risk assessments. A method was developed to estimate the amount of pesticide use on recreational turf grasses, specifically golf course turf grasses, for watersheds located throughout the conterminous United States (U.S.). The approach estimates pesticide use: (1) based on the area of recreational turf grasses (used as a surrogate for turf associated with golf courses) within the watershed, which was derived from maps of land cover, and (2) from data on the location and average treatable area of golf courses. The area of golf course turf grasses determined from these two methods was used to calculate the percentage of each watershed planted in golf course turf grass (percent crop area, or PCA). Turf-grass PCAs derived from the two methods were used with recommended application rates provided on pesticide labels to estimate total pesticide use on recreational turf within 1,606 watersheds associated with surface-water sources of drinking water. These pesticide use estimates made from label rates and PCAs were compared to use estimates from industry sales data on the amount of each pesticide sold for use within the watershed. The PCAs derived from the land-cover data had an average value of 0.4% of a watershed with minimum of 0.01% and a maximum of 9.8%, whereas the PCA values that are based on the number of golf courses in a watershed had an average of 0.3% of a watershed with a minimum of <0.01% and a maximum of 14.2%. Both the land-cover method and the number of golf courses method produced similar PCA distributions, suggesting that either technique may be used to provide a PCA estimate for recreational turf. The average and maximum PCAs generally correlated to watershed size, with the highest PCAs estimated for small watersheds. Using watershed specific PCAs, combined with label rates, resulted in greater than two orders of magnitude over-estimation of the pesticide use compared to estimates from sales data. ?? 2008 American Water Resources Association.

Journal of the American Water Resources Associatio↗

Major herbicides in ground water: Results from the National Water-Quality Assessment

To improve understanding of the factors affecting pesticide occurrence in ground water, patterns of detection were examined for selected herbicides, based primarily on results from the National Water-Quality Assessment (NAWQA) program. The NAWQA data were derived from 2227 sites (wells and springs) sampled in 20 major hydrologic basins across the USA from 1993 to 1995. Results are presented for six high-use herbicides—atrazine (2-chloro-4-ethylamino-6-isopropylamino- s -triazine), cyanazine (2-[4-chloro-6-ethylamino-1,3,5-triazin-2-yl]amino]-2-methylpropionitrile), simazine (2-chloro-4,6-bis[ethylamino]- s -triazine), alachlor (2-chloro- N -[2,6-diethylphenyl]- N -[methoxymethyl]acetamide), acetochlor (2-chloro- N -[ethoxymethyl]- N -[2-ethyl-6-methylphenyl]acetamide), and metolachlor (2-chloro- N -[2-ethyl-6-methylphenyl]- N -[2-methoxy-1-methylethyl]acetamide)— as well as for prometon (2,4-bis[isopropylamino]-6-methoxy- s -triazine), a nonagricultural herbicide detected frequently during the study. Concentrations were <1 μg L −1 at 98% of the sites with detections, but exceeded drinking-water criteria (for atrazine) at two sites. In urban areas, frequencies of detection (at or above 0.01 μg L −1 ) of atrazine, cyanazine, simazine, alachlor, and metolachlor in shallow ground water were positively correlated with their nonagricultural use nationwide ( P < 0.05). Among different agricultural areas, frequencies of detection were positively correlated with nearby agricultural use for atrazine, cyanazine, alachlor, and metolachlor, but not simazine. Multivariate analysis demonstrated that for these five herbicides, frequencies of detection beneath agricultural areas were positively correlated with their agricultural use and persistence in aerobic soil. Acetochlor, an agricultural herbicide first registered in 1994 for use in the USA, was detected in shallow ground water by 1995, consistent with previous field-scale studies indicating that some pesticides may be detected in ground water within 1 yr following application. The NAWQA results agreed closely with those from other multistate studies with similar designs.

Journal of Environmental Quality↗

An innovative partnership for national environmental assessment

Four federal environmental programs: EMAP (USEPA), GAP (USFWS), C-CAP (NOAA), NAWQA (USGS) have formed a partnership with EROS Data Center (USGS) to facilitate the development of baseline land characteristics information for the conterminous U.S. Each of the respective programs brings to the group unique experience and expertise. Despite emphasis on different environmental issues, together we have identified common requirements for source satellite data, preprocessing, spectral clustering, ancillary data, data management and distribution. We are also developing a research agenda to support this initiative and future efforts of this partnership. The short-term goal of out effort is the joint acquisition and preprocessing of recent Landsat TM images for the conterminous U.S. To date, images have been identified for acquisition, and preliminary plans have been made for preprocessing. The long-term goal for this group is collaborative research and development of a flexible and functional land characteristics database for use by our programs and others. This partnership demonstrates that national environmental programs within multiple government agencies can work effectively together to achieve common goals and reduce overall cost.

Pecora 12 Symposium↗