Repository logo
 

Information goals for a regional ground water quality monitoring system for the San Luis Valley

dc.contributor.authorBagenstos, Dennis J., author
dc.contributor.authorWard, Robert C., advisor
dc.contributor.authorLoftis, Jim C., advisor
dc.contributor.authorDurnford, Deanna S., committee member
dc.contributor.authorSmith, Freeman, committee member
dc.date.accessioned2022-02-04T19:19:10Z
dc.date.available2022-02-04T19:19:10Z
dc.date.issued1994
dc.description.abstractThe residents of the San Luis Valley of Colorado are dependent on ground water resources for agriculture, the economic base of the region, as well as most of their drinking water. The quality of this water, as a result of its extensive use, has become a concern in recent years. This concern has been expressed not only by local residents, but also the general public, as demonstrated by the numerous state and federal laws that address ground water quality issues. This concern tends to be addressed in a rather piecemeal fashion, particularly with regard to efforts to measure water quality in the San Luis Valley. Each concern and law appears to require its own separate monitoring program. Can the information needs generated by both local concerns and legal mandates be integrated into a more coherent set of information goals that would guide a unified monitoring program? What information would such a program need to produce? The purpose of this research was to develop a set of water quality "Integrated Information Goals" defined as the integration of those information needs extrapolated from the laws, regulations, and groups involved in water quality management in the Valley. In order to develop these information goals, the following tasks were defined: 1) Examine, through the review and identification of federal, state and local laws, regulations, implementing agencies, and concerned groups, the current structure of nonpoint source pollution management with respect to ground water quality in the San Luis Valley. 2) Based on the review in (1) above, define information goals for a monitoring design for the San Luis Valley. 3) Specify the Integrated Information Goals needed to support ground water quality management in the San Luis Valley. Upon completion of these tasks, five information goals were defined: 1. Baseline water quality of the shallow unconfined and the deep confined aquifers, 2. Source impacts to correlate water quality problems with land use practices, 3. Water table levels, 4. Water quality trend detection, 5. BMP analysis. Options for implementation of a monitoring system were also presented.
dc.format.mediummasters theses
dc.identifier.urihttps://hdl.handle.net/10217/234359
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relationCatalog record number (MMS ID): 991023905209703361
dc.relationHD1694.C6 B355 1994
dc.relation.ispartof1980-1999
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectWater resources development -- Information services -- San Luis Valley (Colo. and N.M.)
dc.subjectWater quality -- Information services -- San Luis Valley (Colo. and N.M.)
dc.titleInformation goals for a regional ground water quality monitoring system for the San Luis Valley
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineAgricultural and Chemical Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ETDF_1994_Summer_Bagenstos_Dennis_J.pdf
Size:
21.4 MB
Format:
Adobe Portable Document Format