Record Display for the EPA National Library Catalog

RECORD NUMBER: 45 OF 65

OLS Field Name OLS Field Data
Main Title Oyster River Culvert Analysis Project: Vulnerability and Required Capacity under Climate Change and Population Growth.
Author L. Stack ; M. H. Simpson ; T. Crosslin ; R. Roseen ; D. Sowers
CORP Author Syntectic Intl., Portland, OR; Antioch Univ. New England, Keene, NH.; Climate Techniques, Portland, OR.; EPA Climate Ready Estuaries Program, Washington, DC.; Piscataqua Region Estuaries Partnership, Durham, NH.
Year Published 2010
Stock Number PB2012-105164
Additional Subjects Watersheds ; Culverts ; Rivers ; New Hampshire ; Capacity ; Runoff ; Peak flow models ; Precipitation models ; Build out models ; Cost models ; Low impact development models ; Maps ; Climate change ; Population growth ; Vulnerability ; Oyster Creek
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2012-105164 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 07/11/2012
Collation 82p
Abstract
Studies have already detected intensification of precipitation events consistent with climate change projections. Communities may have a window of opportunity to prepare, but information sufficiently quantified and localized to support adaptation programs is sparse: published literature is typically characterized by general resilience building or regional vulnerability studies. The Fourth Assessment Report of the IPCC observed that adaptation can no longer be postponed pending the effective elimination of uncertainty. Methods must be developed that manage residual uncertainty, providing community leaders with decision-support information sufficient for implementing infrastructure adaptation programs. This study developed a local-scale and actionable protocol for maintaining historical risk levels for communities facing significant impacts from climate change and population growth. For a coastal watershed, the study assessed the capacity of the present stormwater infrastructure capacity for conveying expected peak flow resulting from climate change and population growth. The project transferred coupled-climate model projections to the culvert system, in a form understandable to planners, resource managers and decision-makers; applied standard civil engineering methods to reverse-engineer culverts to determine existing and required capacities; modeled the potential for LID methods to manage peak flow in lieu of, or combination with, drainage system upsizing; and estimated replacement costs using local and national construction cost data.