DHS Mapping Tool Boosts Situational Awareness - iCAV

The DHS National Protection and Programs Directorate (NPPD) has implemented the Integrated Common Analytical Viewer (iCAV), a Sensitive But Unclassified (SBU) program, to provide situational awareness to local, state and federal agencies regarding threats to sites classified by the Homeland Security Infrastructure Program (HSIP). READ MORE

A recent review determined that iCAV does not pose any special risk to privacy.
REPORT: Privacy Impact Assessment for the Integrated Common Analytical Viewer.

DHS iCAV

OPINION:

Common sense suggests that the resources of iCAV should be integrated with HAZUS.MH. This would be the obvious way to quickly incorporate the national critical infrastructure database within the HAZUS-MH exposure data. However, iCAV is handled as Sensitive But Unclassified (SBU) at the local and state level. This special security handling requirement greatly complicates the utility of the iCAV database.

iCAV is also integrated into the DHS Automated Critical Asset Management System (ACAMS), a tool designed specifically for the emergency responder community.

_

HAZUS-MH at Delaware GIS 2010

Integrating GIS Functionality into Transportation Infrastructure Decision Support Systems: A Case Study - A presentation, by Silvana V. Croope, University of Delaware/Delaware Department of Transportation. February 10, 2010 at the at Delaware GIS 2010 conference.

Integrating the products of a GIS analysis into a decision support framework is demonstrated through a case study. The case study focuses on the impacts of flooding on the transportation infrastructure, in June 2006 in Seaford, Sussex County, Delaware.

The data and analyses are needed to support decisions related to infrastructure repair and improvement and ultimately mitigation. ArcInfo (ESRI) and HAZUS-MH (FEMA) are used to explore the impacts that are then imported into decision support system that focuses on the resilience of the infrastructure. Integrating the products of a GIS analysis into a decision support framework is demonstrated through the named case study. The GIS data and analyses are needed to support decisions related to infrastructure repair and improvement and ultimately mitigation of future floods. Options include policies, infrastructure investment and financial tradeoffs. The benefits of using the spatial decision support system and its limitations are shown.

More Info...