Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
  1. Home
  2. Cornell University Graduate School
  3. Cornell Theses and Dissertations
  4. GIS-based coastal flooding projection on Manhattan's tunnels under future scenarios

GIS-based coastal flooding projection on Manhattan's tunnels under future scenarios

File(s)
Kim_cornell_0058O_12142.pdf (2.74 MB)
Permanent Link(s)
https://doi.org/10.7298/1mkv-t302
https://hdl.handle.net/1813/116289
Collections
Cornell Theses and Dissertations
Author
Kim, Minkyeong
Abstract

This study assesses the coastal flooding risks to tunnels in Manhattan, New York, under various scenarios. The study uses GIS-based inundation modeling to evaluate the impact of storm surges similar to Superstorm Sandy on future sea levels. Five scenarios are analyzed: a current baseline for 2010 and four future projections for 2100 using RCP 4.5 and 8.5, with and without enhanced Antarctic Ice Sheet contributions. Future DEMs and flood depth grids are generated using the IDW interpolation technique. Based on these results, the flood heights at tunnel exits and entrances are estimated and then compared to the tunnel heights to assess the flooding risk. In the most extreme scenario, by 2100, 75% of studied tunnel entrances and exits will be located below sea level, causing inundations of 1.57-10.41 meters, depending on the location. Consequently, the vulnerability of these tunnels to storm surges will become more severe in future climate scenarios.

Description
85 pages
Date Issued
2024-08
Keywords
Coastal Flooding
•
GIS-based Inundation Modeling
•
IDW
•
Superstorm Sandy
•
Tunnels
Committee Chair
Nozick, Linda
Committee Member
Alvarez Daziano, Ricardo
Degree Discipline
Civil and Environmental Engineering
Degree Name
M.S., Civil and Environmental Engineering
Degree Level
Master of Science
Rights
Attribution 4.0 International
Rights URI
https://creativecommons.org/licenses/by/4.0/
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/16611938

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance