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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Atlanta, GA | Posted: March 24, 2011
The amount of debris generated by some large-scale disasters is equivalent in volume to years of normal solid waste production in the affected areas. The U.N. estimates that the recent Haitian earthquake produced, at a minimum, 63 million cubic meters of debris, more than even Hurricane Katrina produced. The task of removing this debris could ”require a fleet of approximately 1,000 trucks working 24 hours a day for two years” and cost upwards of a billion dollars. Adding to the challenge, debris operations occur in three phases: clearance, collection and disposal.
Thus, there is a tremendous need for decision support tools that can aid in evaluating the long- and short-term costs and impacts of the interrelated decisions necessary for managing debris operations.
Ozlem Ergun and Pinar Keskinocak are working on developing mathematical models and analysis for aiding decision support in all three phases of the debris operations. In this context, they have collaborated with FEMA, the Army Corps of Engineers and local EMAs. Furthermore, a team from Georgia Tech went to Haiti for data collection and situational assessment last year. Click here to view a multi-media presentation of their trip. They have been active in disseminating their findings to impact policy decisions in the Haitian recovery.