Geospatial Assessment of Stream Impairment in Florida

Material Information

Geospatial Assessment of Stream Impairment in Florida
Series Title:
Disseration - Quanitfying and Priorizing of Stream Restoratioin Needs in Florida
Physical Description:
Palacio, Darina


dataset   ( sobekcm )


The advancement of computing power and wide availability of geospatial data has facilitated the application of geospatial analyses to identify causes of water quality impairment. Nationally, approximately 53% and in Florida 80% of stream miles assessed were classified as impaired. The list of impaired streams not meeting the CWA water quality standards alone can overwhelm the prioritization of stream restoration . This study addresses the question of where are Florida's stream water quality problems located in order to perform restoration by performing a geospatial assessment of stream impairment at the Water Body Identification (WBID) scale. WBIDs were used since they are the operational unit to identify impairment used by Florida Department of Environmental Protection. Stream impairment (via Clean Water Act 303(d) parameters, Numeric Nutrient Criteria for Total Nitrogen and Total Phosphorous and Stream Condition Index) was quantified and described based on spatial distribution. Next, the spatial distribution of impairment was compared to a database of threats to stream habitat. Three types of analyses were used to evaluate the relationship between impairment and threats. one statistical and two geospatial. A non-parametric linear median test to identify the significance of the relationship between threats and impairment; a hotspots analysis to identify impairment hotspots; and an assessment of the relationship between high magnitude of threat magnitude and high impairment. Finally, a grouping analysis clustered similar WBIDs based on the magnitude of the ten threats to identify if a particular group of threats were associated with impairment. The results show that there are differences between the spatial distributions of impairment category. Furthermore, there are statistical differences between identified threats to stream habitat in WBIDs with and without impairment. Additionally, the hotspots and grouping analyses isolated a small percentage of impairment clusters, suggesting impairment may be influenced by localized rather than regional phenomena. Several management considerations may be influenced as a result of this analysis. It is a step towards further understanding the spatial context of stream impairment.
Collected for University of Florida's Institutional Repository by the UFIR Self-Submittal tool. Submitted by Darina Palacio.
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Source Institution:
University of Florida Institutional Repository
Holding Location:
University of Florida
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All rights reserved by the submitter.
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