Title:
Analysis of Georgia Conservation Lands: for Endangered & Threatened Fish and Mussel Species and Biota Listed Streams Using Geospatial Technology

dc.contributor.author Panda, Sudhanshu Sekhar en_US
dc.contributor.author Brossett, Michele P. en_US
dc.contributor.corporatename Gainesville State College. Institute of Environmental Spatial Analysis en_US
dc.contributor.corporatename Georgia. Watershed Protection Branch en_US
dc.date.accessioned 2014-03-26T20:15:35Z
dc.date.available 2014-03-26T20:15:35Z
dc.date.issued 2013-04
dc.description Proceedings of the 2013 Georgia Water Resources Conference, April 10-11, 2013, Athens, Georgia. en_US
dc.description.abstract In United States of America (US), as part of the Clean Water Act (CWA) Section 101 (a), it is the obligation of each state to monitor and assess the chemical, physical, and biological conditions of streams within its boundaries for human and animal consumption and to sustain aquatic animals. As Georgia’s population continues to grow, the state will have increased runoff from non-point sources combined with the continual loss of critical habitat. With the use of geospatial technology, this study is intended to determine which areas need to be conserved for fish and mussels and to determine if the potential opportunity conservation areas covers all the fish and mussels habitats in Georgia. Several conservation geospatial layers including 303d list of impaired rivers in Georgia were collected from different authentic sources. They were processed in ArcGIS 10 to prepare them for analysis. Fish and Mussels habitat spatial layer was separately created from the available ASCII format data. The spatial location of the habitats were correlated to the 12-digit HUC watershed of Georgia and the critical watersheds were determined with respect to fish and mussels habitat conservation. Present conservation land spatial layer of Georgia was obtained and compared with the critical watershed layer using Map Algebra. Thus, the area erroneously provided with the present GA conservation land layer were determined and correct spatial locations for fish and mussels conservation was suggested. In Georgia, 439 critical 12-digit HUC watersheds were found for fish and mussels conservation. Above all, the entire study procedure was modeled through an automated geospatial model developed using ArcGIS 10 Model Builder. This analysis would help conversationalist, regional development authorities, and other groups to determine where the best area would be to conduct restoration on streams and would help them find funding or would use existing funding wisely. en_US
dc.description.sponsorship Sponsored by: Georgia Environmental Protection Division; U.S. Department of Agriculture, Natural Resources Conservation Service; Georgia Institute of Technology, Georgia Water Resources Institute; The University of Georgia, Water Resources Faculty. en_US
dc.description.statementofresponsibility This book was published by Warnell School of Forestry and Natural Resources, The University of Georgia, Athens, Georgia 30602-2152. The views and statements advanced in this publication are solely those of the authors and do not represent official views o en_US
dc.identifier.uri http://hdl.handle.net/1853/51482
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries GWRI2013. Ecological: Function, Restoration, Monitoring en_US
dc.subject Water resources management en_US
dc.subject Ecosystem conditions en_US
dc.subject Geospatial technology en_US
dc.subject Endangered species en_US
dc.title Analysis of Georgia Conservation Lands: for Endangered & Threatened Fish and Mussel Species and Biota Listed Streams Using Geospatial Technology en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.corporatename Georgia Water Resources Institute
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename College of Engineering
local.relation.ispartofseries Georgia Water Resources Conference
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relation.isSeriesOfPublication e0bfffc9-c85a-4095-b626-c25ee130a2f3
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