{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/78496"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/78496","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"The vulnerability of U.S. coastal energy infrastructure under climate change","abstract":"The 2005 hurricane season was particularly damaging to the United States, contributing to significant losses to energy infrastructure -much of it a result of flooding from storm surges during hurricanes Katrina and Rita. Previous research suggests that these events are not isolated, but rather foreshadow a risk that is to continue and likely increase with a changing climate (17). Since extensive energy infrastructure exists along the U.S. Atlantic and Gulf coasts, these facilities are exposed to an increasing risk of flooding. We study the combined impacts of anticipated sea level rise, hurricane activity, and subsidence on energy infrastructure in these regions with a first application to Galveston Bay. Using future climate conditions as projected by four different Global Circulation Models (GCMs), we model the change in hurricane activity from present day climate conditions in response to a climate projected in 2100 under the IPCC A l B emissions scenario using hurricane analysis developed by Emanuel (5). We apply the results from hurricane runs from each model to the SLOSH model (Sea, Lake and Overland Surges from Hurricanes) (19) to investigate the change in frequency and distribution of surge heights across climates. Further, we incorporate uncertainty surrounding the magnitude of sea level rise and subsidence, resulting in more detailed projections of risk levels for energy infrastructure over the next century. With a detailed understanding of energy facilities' changing risk exposure, we conclude with a dynamic programming cost-benefit analysis to optimize decision making over time as it pertains to adaptation.","abstract_html":"The 2005 hurricane season was particularly damaging to the United States, contributing to significant losses to energy infrastructure -much of it a result of flooding from storm surges during hurricanes Katrina and Rita. Previous research suggests that these events are not isolated, but rather foreshadow a risk that is to continue and likely increase with a changing climate (17). Since extensive energy infrastructure exists along the U.S. Atlantic and Gulf coasts, these facilities are exposed to an increasing risk of flooding. We study the combined impacts of anticipated sea level rise, hurricane activity, and subsidence on energy infrastructure in these regions with a first application to Galveston Bay. Using future climate conditions as projected by four different Global Circulation Models (GCMs), we model the change in hurricane activity from present day climate conditions in response to a climate projected in 2100 under the IPCC A l B emissions scenario using hurricane analysis developed by Emanuel (5). We apply the results from hurricane runs from each model to the SLOSH model (Sea, Lake and Overland Surges from Hurricanes) (19) to investigate the change in frequency and distribution of surge heights across climates. Further, we incorporate uncertainty surrounding the magnitude of sea level rise and subsidence, resulting in more detailed projections of risk levels for energy infrastructure over the next century. With a detailed understanding of energy facilities' changing risk exposure, we conclude with a dynamic programming cost-benefit analysis to optimize decision making over time as it pertains to adaptation.","abstract_has_math":false,"creators":["Lickley, Megan Jeramaz"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Engineering Systems Division.","school":null,"contributors":[],"advisors":["Henry D. Jacoby."],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012","date_published":"2012","updated_at":"2026-07-22T22:20:49Z","subjects":["Engineering Systems Division.","Technology and Policy Program."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/78496","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Henry D. Jacoby."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Engineering Systems Division.","Massachusetts Institute of Technology. Technology and Policy Program."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Technology and Policy Program."]},{"key":"dc:creator","label":"Author","values":["Lickley, Megan Jeramaz"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2013-04-12T19:29:40Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2013-04-12T19:29:40Z"]},{"key":"dc:date.issued","label":"Date","values":["2012"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering Systems Division.","Technology and Policy Program."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/78496"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, 2012.","Cataloged from PDF version of thesis.","Includes bibliographical references (p. 75-77)."]},{"key":"dc:description.abstract","label":"Abstract","values":["The 2005 hurricane season was particularly damaging to the United States, contributing to significant losses to energy infrastructure -much of it a result of flooding from storm surges during hurricanes Katrina and Rita. Previous research suggests that these events are not isolated, but rather foreshadow a risk that is to continue and likely increase with a changing climate (17). Since extensive energy infrastructure exists along the U.S. Atlantic and Gulf coasts, these facilities are exposed to an increasing risk of flooding. We study the combined impacts of anticipated sea level rise, hurricane activity, and subsidence on energy infrastructure in these regions with a first application to Galveston Bay. Using future climate conditions as projected by four different Global Circulation Models (GCMs), we model the change in hurricane activity from present day climate conditions in response to a climate projected in 2100 under the IPCC A l B emissions scenario using hurricane analysis developed by Emanuel (5). We apply the results from hurricane runs from each model to the SLOSH model (Sea, Lake and Overland Surges from Hurricanes) (19) to investigate the change in frequency and distribution of surge heights across climates. Further, we incorporate uncertainty surrounding the magnitude of sea level rise and subsidence, resulting in more detailed projections of risk levels for energy infrastructure over the next century. With a detailed understanding of energy facilities' changing risk exposure, we conclude with a dynamic programming cost-benefit analysis to optimize decision making over time as it pertains to adaptation."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M.in Technology and Policy"]},{"key":"dc:title","label":"Title","values":["The vulnerability of U.S. coastal energy infrastructure under climate change"]}]}],"canonical_facts":{"dc:contributor.advisor":["Henry D. Jacoby."],"dc:contributor.department":["Massachusetts Institute of Technology. Engineering Systems Division.","Massachusetts Institute of Technology. Technology and Policy Program."],"dc:contributor.other":["Massachusetts Institute of Technology. Technology and Policy Program."],"dc:creator":["Lickley, Megan Jeramaz"],"dc:date.accessioned":["2013-04-12T19:29:40Z"],"dc:date.available":["2013-04-12T19:29:40Z"],"dc:date.issued":["2012"],"dc:description":["Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, 2012.","Cataloged from PDF version of thesis.","Includes bibliographical references (p. 75-77)."],"dc:description.abstract":["The 2005 hurricane season was particularly damaging to the United States, contributing to significant losses to energy infrastructure -much of it a result of flooding from storm surges during hurricanes Katrina and Rita. Previous research suggests that these events are not isolated, but rather foreshadow a risk that is to continue and likely increase with a changing climate (17). Since extensive energy infrastructure exists along the U.S. Atlantic and Gulf coasts, these facilities are exposed to an increasing risk of flooding. We study the combined impacts of anticipated sea level rise, hurricane activity, and subsidence on energy infrastructure in these regions with a first application to Galveston Bay. Using future climate conditions as projected by four different Global Circulation Models (GCMs), we model the change in hurricane activity from present day climate conditions in response to a climate projected in 2100 under the IPCC A l B emissions scenario using hurricane analysis developed by Emanuel (5). We apply the results from hurricane runs from each model to the SLOSH model (Sea, Lake and Overland Surges from Hurricanes) (19) to investigate the change in frequency and distribution of surge heights across climates. Further, we incorporate uncertainty surrounding the magnitude of sea level rise and subsidence, resulting in more detailed projections of risk levels for energy infrastructure over the next century. With a detailed understanding of energy facilities' changing risk exposure, we conclude with a dynamic programming cost-benefit analysis to optimize decision making over time as it pertains to adaptation."],"dc:description.degree":["S.M.in Technology and Policy"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/78496"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Engineering Systems Division.","Technology and Policy Program."],"dc:title":["The vulnerability of U.S. coastal energy infrastructure under climate change"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:20:49Z"}