Decision Support Model for Assessing Archaeological Survey Needs for Bridge Replacement Projects in Iowa
Author | : Joe Alan Artz |
Publisher | : |
Total Pages | : 46 |
Release | : 2006 |
ISBN-10 | : OCLC:74323298 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Decision Support Model for Assessing Archaeological Survey Needs for Bridge Replacement Projects in Iowa written by Joe Alan Artz and published by . This book was released on 2006 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: To comply with Section 106 of the National Historic Preservation Act, the Federal Highway Administration (FHWA) and Iowa Department of Transportation (Iowa DOT) are required to determine the effects of federally-assisted transportation undertakings, including bridge replacements, on archaeological sites. In the past 30 years, hundreds of archaeological surveys have been conducted for local- and primary-system bridge replacement projects. These surveys often require costly and time-consuming subsurface excavation to search for sites that may be deeply buried in thick deposits of alluvial (stream-deposited) sediments. An alternative approach would be to use knowledge gained from previous surveys to assess the archaeological potential of a proposed bridge replacement project before, and if possible instead of, committing resources to an archaeological survey. All the information needed to make such assessments, including archaeology, soils, geomorphology, and land-use history, can be assembled, viewed, and analyzed using Geographic Information Systems (GIS). In this report, the University of Iowa Office of the State Archaeologist (OSA) explores the feasibility of using GIS data to evaluate archaeological survey needs for Iowa DOT bridge replacements. The resultant Bridges Decision Support Model integrates information on archaeological sites, surveys, bridges, and their geological contexts. The model will help streamline the Section 106 process by facilitating communication and information transfer; by providing consistent, well-informed, and uniformly-applied decision criteria; and by improving the cost-effectiveness of cultural resource compliance.