{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Michael G. Rupert", "hasEmail": "mailto:mgrupert@usgs.gov"}, "description": "This dataset is one of eight datasets produced by this study. Four of the \ndatasets predict the probability of detecting atrazine and(or) desethyl-atrazine \n(a breakdown product of atrazine) in ground water in Colorado; the other four \npredict the probability of detecting elevated concentrations of nitrate in ground \nwater in Colorado. The four datasets that predict the probability of atrazine \nand (or) desethyl-atrazine (atrazine/DEA) are differentiated by whether or not \nthey incorporated atrazine use and whether or not they incorporated \nhydrogeomorphic regions. The four datasets that predict the probability of \nelevated concentrations of nitrate are differentiated by whether or not they \nincorporated fertilizer use and whether or not they incorporated hydrogeomorphic \nregions. Each of the eight datasets has its own unique strengths and weaknesses. \nThe user is cautioned to read Rupert (2003, Probability of detecting \natrazine/desethyl-atrazine and elevated concentrations of nitrate in ground \nwater in Colorado: U.S. Geological Survey Water-Resources Investigations \nReport 02-4269, 35 p., http://water.usgs.gov/pubs/wri/wri02-4269/) to determine \nif he(she) is using the most appropriate dataset for his(her) particular needs. \n\t\t\t\nThis dataset specifically predicts the probability of detecting atrazine/DEA in \nground water in Colorado with hydrogeomorphic regions included and atrazine \nuse estimates not included. \n\t\t\t\nThe following text was extracted from Rupert (2003). \n\t\t\t\nDraft Federal regulations may require that each State develop a State Pesticide \nManagement Plan for the herbicides atrazine, alachlor, metolachlor, and simazine. \nMaps were developed that the State of Colorado could use to predict the probability \nof detecting atrazine/DEA in ground water in Colorado. These maps can be incorporated \ninto the State Pesticide Management Plan and can help provide a sound hydrogeologic \nbasis for atrazine management in Colorado. Maps showing the probability of detecting \nelevated nitrite plus nitrate as nitrogen (nitrate) concentrations in ground water in Colorado \nalso were developed because nitrate is a contaminant of concern in many areas of Colorado.\n\t\t\t\nMaps showing the probability of detecting atrazine/DEA at or greater than concentrations \nof 0.1 microgram per liter and nitrate concentrations in ground water greater than 5 milligrams \nper liter were developed as follows: \n\t\t\t\n(1) Ground-water quality data were overlaid with anthropogenic and hydrogeologic data by \nusing a geographic information system (GIS) to produce a dataset in which each well had \ncorresponding data on atrazine use, fertilizer use, geology, hydrogeomorphic regions, \nland cover, precipitation, soils, and well construction. These data then were downloaded \nto a statistical software package for analysis by logistic regression. \n\t\t\t\n(2) Relations were observed between ground-water quality and the percentage of land-cover \ncategories within circular regions (buffers) around wells. Several buffer sizes were evaluated; \nthe buffer size that provided the strongest relation was selected for use in the logistic \nregression models. \n\t\t\t\n(3) Relations between concentrations of atrazine/DEA and nitrate in ground water and \natrazine use, fertilizer use, geology, hydrogeomorphic regions, land cover, precipitation, \nsoils, and well-construction data were evaluated, and several preliminary multivariate \nmodels with various combinations of independent variables were constructed. \n\t\t\t\n(4) The multivariate models that best predicted the presence of atrazine/DEA and \nelevated concentrations of nitrate in ground water were selected. \n\t\t\t\n(5) The accuracy of the multivariate models was confirmed by validating the models \nwith an independent set of ground-water quality data. \n\t\t\t\n(6) The multivariate models were entered into a geographic information system \nand the probability GRIDS were constructed.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P9S3YAG7", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", "title": "Digital Data"}, {"@type": "dcat:Distribution", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.eeee80c5-1a83-488b-9a82-736373d962c6.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_eeee80c5-1a83-488b-9a82-736373d962c6", "keyword": ["Atrazine", "Desethyl-atrazine", "Ground water", "Ground-water contamination", "Ground-water probability", "Ground-water quality", "Ground-water susceptibility", "Ground-water vulnerability", "Nitrate", "Probability", "Probability of ground-water contamination", "Susceptibility", "USGS:eeee80c5-1a83-488b-9a82-736373d962c6", "Vulnerability", "environment", "geoscientificInformation", "inlandWaters"], "modified": "2020-11-17T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-109.813, 36.424, -101.475, 41.574", "theme": ["geospatial"], "title": "Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions included and atrazine use estimates not included."}