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Water quality assessment with routine monitoring data

dc.contributor.authorSmillie, Gary M., author
dc.contributor.authorSanders, Thomas G., advisor
dc.contributor.authorWard, Robert C., committee member
dc.contributor.authorLoftis, Jim C., committee member
dc.date.accessioned2021-09-07T16:29:48Z
dc.date.available2021-09-07T16:29:48Z
dc.date.issued1982
dc.description.abstractFederal legislation in recent years has required the states to develop water quality management programs which include stream standards and river monitoring. Water quality data, routinely collected by state and federal agencies, has often been of little use in directly determining stream standards compliance. This problem is due to the discrepancy between the statistical nature of water quality sampling and nonstatistically expressed stream standards. However, the use of probability and statistical models in water quality analysis may pro-vide useful assessments of river water quality with stream standards. This research consists of the development and testing of five statistical procedures which allow river water quality to be assessed from available, routinely collected data. The procedures include: 1) probability density function modeling of water quality variables, 2) multiple linear regression modeling of water quality variables, 3) conditional probability modeling of stream standard violations given known river conditions, 4) a water quality index indicating changes in water quality, and 5) a water quality index indicating compliance/non- compliance of water quality variables with stream standards. The utility of each procedure is illustrated with a case study.
dc.format.mediummasters theses
dc.identifier.urihttps://hdl.handle.net/10217/233880
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relationCatalog record number (MMS ID): 991003826699703361
dc.relationTD367.S65
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.subject.lcshWater quality -- Measurement
dc.subject.lcshWater quality management
dc.titleWater quality assessment with routine monitoring data
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.disciplineCivil Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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