Assessing atrazine pollution potential to a drinking water reservoir using remote sensing and geographic information system modeling

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dc.acquisition-srcDownloaded from-Academic Search Premieren_US
dc.call-noen_US
dc.contract-noen_US
dc.contributor.authorAtkinson SFen_US
dc.contributor.authorWaller WTen_US
dc.contributor.authorCrooks TJen_US
dc.contributor.otheren_US
dc.date.accessioned2010-02-15T17:18:44Z
dc.date.available2010-02-15T17:18:44Z
dc.date.issued2001 Sepen_US
dc.degreeen_US
dc.description327-338en_US
dc.description-otheren_US
dc.description.abstractWater quality monitoring by the City of Dallas, Texas (US) and the Institute of Applied Science, University of North Texas, has recently shown elevated atrazine concentrations in the watershed of a large drinking water reservoir in the Dallas-Fort Worth metropolitan area serving over 3,000,000 people. Atrazine is under investigation by numerous researchers as an environmental estrogen that may be involved in increasing breast cancer incidence in humans and impacting health and reproductive systems in wildlife. Since treatment technologies for atrazine removal from finished drinking water can be expensive and provide no protection to aquatic ecosystem health, watershed managers are currently seeking proactive methods to reduce the amount of atrazine entering water supply systems. The most viable approach for reducing atrazine in a drinking water reservoir begins with understanding the distribution and extent of landuse in the watershed where atrazine may be applied. Understanding the spatial distribution of areas potentially contributing atrazine runoff facilitates developing an effective atrazine reduction program of the best management practices that are appropriate to a particular region. Using remotely sensed satellite imagery and geographic information system modeling, an analysis of the spatial distribution of landuse, soil erodibility, and surface slope information in a large watershed in north central Texas was conducted. An 'atrazine pollution potential' model was developed and applied to over 224,000 hectares draining into Lake Lewisville which provides drinking water to Dallas and surrounding communities. Model results compared well with in situ water quality measurements of atrazine, and point to areas most in need of best management practice implementation.ABSTRACT FROM AUTHORen_US
dc.description.urihttp://gbic.tamug.edu/request.htmen_US
dc.historyen_US
dc.identifier.urihttp://hdl.handle.net/1969.3/23671
dc.latitudeen_US
dc.locationen_US
dc.longitudeen_US
dc.notesAccession Number: 10910196; Atkinson, S. F.; Waller, W. T.; Crooks, T. J.; Source Information: Sep2001, Vol. 4 Issue 3, p327; Subject Term: DRINKING water -- Contamination; Subject Term: ECOSYSTEM management; Subject Term: GEOGRAPHIC information systems; Subject Term: ENVIRONMENTAL impact analysis; Subject Term: REMOTE sensing; Subject Term: WATER -- Pollution; Subject Term: WATER quality -- Measurement; Subject Term: ATRAZINE; Subject Term: Environmental aspects; Subject Term: DALLAS (Tex.); Author-Supplied Keyword: BEST MANAGEMENT PRACTICES; Author-Supplied Keyword: BMPS; Author-Supplied Keyword: ENVIRONMENTAL ASSESSMENT; Author-Supplied Keyword: LAKE LEWISVILLE; Author-Supplied Keyword: TRINITY RIVER; Author-Supplied Keyword: TEXAS US; Author-Supplied Keyword: RISK ASSESSMENT; Author-Supplied Keyword: WATERSHEDS; Number of Pages: 12p; Illustrations: 3 charts, 1 graph, 2 maps; DOI: 10.1080/146349801753509212; Document Type: Articleen_US
dc.placeen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofseries51324.00en_US
dc.relation.urien_US
dc.scaleen_US
dc.seriesen_US
dc.subjectATRAZINEen_US
dc.subjectBEST MANAGEMENT PRACTICESen_US
dc.subjectBMPSen_US
dc.subjectDALLAS (Tex.)en_US
dc.subjectDRINKING water -- Contaminationen_US
dc.subjectECOSYSTEM managementen_US
dc.subjectEnvironmental aspectsen_US
dc.subjectENVIRONMENTAL ASSESSMENTen_US
dc.subjectENVIRONMENTAL impact analysisen_US
dc.subjectGEOGRAPHIC information systemsen_US
dc.subjectLAKE LEWISVILLEen_US
dc.subjectREMOTE sensingen_US
dc.subjectRISK ASSESSMENTen_US
dc.subjectTEXASen_US
dc.subjectTEXAS USen_US
dc.subjectTRINITY RIVERen_US
dc.subjectWATER -- Pollutionen_US
dc.subjectWATER quality -- Measurementen_US
dc.subjectWATER-supplyen_US
dc.subjectWATERSHEDSen_US
dc.titleAssessing atrazine pollution potential to a drinking water reservoir using remote sensing and geographic information system modelingen_US
dc.typeGENen_US
dc.universityen_US
dc.vol-issue4(3)en_US

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