A joint project of the Graduate School, Peabody College, and the Jean & Alexander Heard Library

Title page for ETD etd-11252014-135934

Type of Document Dissertation
Author Banks, James Carl
Author's Email Address jcbankscihcsp@bellsouth.net
URN etd-11252014-135934
Title Development of a Decision-Support Tool for Bridge Infrastructure Adaptation in Response to Climate-Induced Flood Risk
Degree PhD
Department Interdisciplinary Studies: Environmental Management
Advisory Committee
Advisor Name Title
Mark Abkowitz Committee Chair
Janey Camp Committee Co-Chair
James Clarke Committee Member
Jimmy Dobbins Committee Member
Kenneth Pence Committee Member
  • scour damage
  • adaptation
  • bridges
  • infrastructure
  • climate change
Date of Defense 2014-11-04
Availability unrestricted
The 2013 Report Card for the Nation’s Infrastructure, published by the American Society of Civil Engineers, estimates that more than 10% of the over 607,000 bridges in the United States are structurally deficient. Engendering a further sense of urgency for addressing bridge integrity is the impact of projected climate change and associated weather events. The most recent assessment report published by the IPCC concludes that the frequency of heavy precipitation events is increasing along with a concomitant increase in severe flooding. Several software applications are available that perform flood modeling and, in some instances, damage analysis resulting from the flood. Of the software identified, FEMA’s HAZUS-MH, or Hazus, offers a balance between affordability, simplicity and accuracy. Hazus does demonstrate limitations when modeling floods in sub-county areas but at the county-level scale, predicted floods approximate observed floods. Using the US DOT’s HEC-18 guide for bridge scour, a methodology was developed for estimating the monetary damage of bridge scour from a future flood event using flood parameters supplied by Hazus and other readily available resources. Results of the methodology indicated predicted and observed damage values did not exhibit a statistically significant difference (p=0.22, tá=0.05). Additionally, a Pearson’s correlation coefficient of approximately 0.94 was observed. A demonstration of the methodology application was performed in which several bridges in Little Rock, Arkansas were assessed for adaptation planning prioritization.
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  BANKS.pdf 3.55 Mb 00:16:26 00:08:27 00:07:23 00:03:41 00:00:18

Browse All Available ETDs by ( Author | Department )

If you have more questions or technical problems, please Contact LITS.