{"id":{"repo_id":"unt","oai_identifier":"info:ark/67531/metadc4953"},"canonical_url":"https://search.dev.ndltd.org/etd/unt/info:ark/67531/metadc4953","repository":{"repo_id":"unt","name":"University of North Texas","base_url":"https://digital.library.unt.edu/oai/"},"display":{"title":"GIS Modeling of Wetlands Elevation Change in Response to Projected Sea Level Rise, Trinity Bay, Texas","abstract":"This study is a test of a methodology to predict changes in elevation and shoreline position of coastal wetlands in Trinity Bay, Texas, in response to projected sea level rise. The study combines numerical modeling and a geographic information system. A smoothing technique is used on a United States Geographical Survey (USGS) digital elevation model to obtain elevation profiles that more accurately represent the gently sloping wetlands surface. The numerical model estimates the expected elevation change by raster cell based on input parameters of predicted sea level rise, mineral and organic sedimentation rates, and sediment auto compaction rates. A GIS is used to display predicted elevation changes and changes in shoreline position as a result of four projected sea level rise scenarios over the next 100 years. Results demonstrate that this numerical model and methodology are promising as a technique of modeling predicted elevation change and shoreline migration in wetlands. The approach has potential utility in coastal management applications.","abstract_html":"This study is a test of a methodology to predict changes in elevation and shoreline position of coastal wetlands in Trinity Bay, Texas, in response to projected sea level rise. The study combines numerical modeling and a geographic information system. A smoothing technique is used on a United States Geographical Survey (USGS) digital elevation model to obtain elevation profiles that more accurately represent the gently sloping wetlands surface. The numerical model estimates the expected elevation change by raster cell based on input parameters of predicted sea level rise, mineral and organic sedimentation rates, and sediment auto compaction rates. A GIS is used to display predicted elevation changes and changes in shoreline position as a result of four projected sea level rise scenarios over the next 100 years. Results demonstrate that this numerical model and methodology are promising as a technique of modeling predicted elevation change and shoreline migration in wetlands. The approach has potential utility in coastal management applications.","abstract_has_math":false,"creators":["Lee, Erica Anne"],"institution":"University of North Texas","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Williams, Harry F. L.","Hudak, Paul F.","Acevedo, Miguel F.","Dong, Pinliang"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2005,"date_issued":"2005-12","date_published":"2005-12","updated_at":"2026-07-24T05:35:09Z","subjects":["Wetlands -- Geographic information systems -- Texas -- Trinity Bay.","Coastal ecology -- Geographic information systems -- Texas -- Trinity Bay.","Altitudes -- Geographic information systems -- Texas -- Trinity Bay.","Trinity Bay (Tex.) -- Environmental conditions.","sea level rise","numerical modeling","GIS","coastal wetlands","sedimentation"],"languages":["English"],"rights":["Public","Copyright","Lee, Erica Anne","Copyright is held by the author, unless otherwise noted. All rights reserved."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["oclc: 68963252","https://digital.library.unt.edu/ark:/67531/metadc4953/","ark: ark:/67531/metadc4953"],"render_values":[{"text":"oclc: 68963252","href":null,"code":true},{"text":"https://digital.library.unt.edu/ark:/67531/metadc4953/","href":"https://digital.library.unt.edu/ark:/67531/metadc4953/","code":true},{"text":"ark: ark:/67531/metadc4953","href":null,"code":true}]}]},"links":{"outbound_url":"https://doi.org/10.12794/metadc4953","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Williams, Harry F. 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The numerical model estimates the expected elevation change by raster cell based on input parameters of predicted sea level rise, mineral and organic sedimentation rates, and sediment auto compaction rates. A GIS is used to display predicted elevation changes and changes in shoreline position as a result of four projected sea level rise scenarios over the next 100 years. Results demonstrate that this numerical model and methodology are promising as a technique of modeling predicted elevation change and shoreline migration in wetlands. The approach has potential utility in coastal management applications."]},{"key":"dc:format","label":"Dc Format","values":["Text"]},{"key":"dc:title","label":"Title","values":["GIS Modeling of Wetlands Elevation Change in Response to Projected Sea Level Rise, Trinity Bay, Texas"]}]}],"canonical_facts":{"dc:contributor":["Williams, Harry F. L.","Hudak, Paul F.","Acevedo, Miguel F.","Dong, Pinliang"],"dc:creator":["Lee, Erica Anne"],"dc:date":["2005-12"],"dc:description":["This study is a test of a methodology to predict changes in elevation and shoreline position of coastal wetlands in Trinity Bay, Texas, in response to projected sea level rise. The study combines numerical modeling and a geographic information system. A smoothing technique is used on a United States Geographical Survey (USGS) digital elevation model to obtain elevation profiles that more accurately represent the gently sloping wetlands surface. The numerical model estimates the expected elevation change by raster cell based on input parameters of predicted sea level rise, mineral and organic sedimentation rates, and sediment auto compaction rates. A GIS is used to display predicted elevation changes and changes in shoreline position as a result of four projected sea level rise scenarios over the next 100 years. Results demonstrate that this numerical model and methodology are promising as a technique of modeling predicted elevation change and shoreline migration in wetlands. The approach has potential utility in coastal management applications."],"dc:format":["Text"],"dc:identifier":["oclc: 68963252","doi: 10.12794/metadc4953","https://digital.library.unt.edu/ark:/67531/metadc4953/","ark: ark:/67531/metadc4953"],"dc:language":["English"],"dc:publisher":["University of North Texas"],"dc:rights":["Public","Copyright","Lee, Erica Anne","Copyright is held by the author, unless otherwise noted. All rights reserved."],"dc:subject":["Wetlands -- Geographic information systems -- Texas -- Trinity Bay.","Coastal ecology -- Geographic information systems -- Texas -- Trinity Bay.","Altitudes -- Geographic information systems -- Texas -- Trinity Bay.","Trinity Bay (Tex.) -- Environmental conditions.","sea level rise","numerical modeling","GIS","coastal wetlands","sedimentation"],"dc:title":["GIS Modeling of Wetlands Elevation Change in Response to Projected Sea Level Rise, Trinity Bay, Texas"],"dc:type":["Thesis or Dissertation"]},"updated_at":"2026-07-24T05:35:09Z"}