EAD Expected Annual Flood Damage Computation

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1 US Army Corps of Engineers Hydrologic Engineering Center Generalized Computer Program EAD Expected Annual Flood Damage Computation User's Manual March 1989 Original: June 1977 Revised: August 1979, February 1984 Approved for Public Release. Distribution Unlimited. CPD-30

2 REPORT DOCUMENTATION PAGE Form Approved OMB No Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the date needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA , and to the Office of Management and Budget, Paperwork Reduction Project ( ), Washington, DC AGENCY USE ONLY (Leave blank) 2. REPORT DATE March TITLE AND SUBTITLE EAD Expected Annual Flood Damage Computation User's Manual 6. AUTHOR(S) CEIWR-HEC 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) US Army Corps of Engineers Institute for Water Resources Hydrologic Engineering Center 609 Second Street Davis, CA SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) N/A 3. REPORT TYPE AND DATES COVERED Computer Program Document No FUNDING NUMBERS 8. PERFORMING ORGANIZATION REPORT NUMBER CPD SPONSORING / MONITORING AGENCY REPORT NUMBER N/A 11. SUPPLEMENTARY NOTES N/A 12a. DISTRIBUTION / AVAILABILITY STATEMENT Approved for Public Release. Distribution of this document is unlimited. 12b. DISTRIBUTION CODE 13. ABSTRACT (Maximum 200 words) The EAD program and user's manual were developed to assist in economic evaluation of flood plain management plans. Particular attention was given to current (as of 1989) federal policy on evaluation of national economic development benefits of flood plain management plans. Only inundation reduction benefits are calculated by this program. This program is based on the principle that flood damage to an individual structure, group of structures, or flood plain reach can be estimated by determining the dollar value of flood damage for different magnitudes of flooding and by estimating the percent chance of exceedance of each flood magnitude. The program was originally released in June 1977, revised in August 1979, May 1983, February 1984, and March The April 1994 release was the final release with no major enhancements presently planned. However, HEC plans to create a successor FDA Package for the future. 14. SUBJECT TERMS EAD, expected annual damage; inundation reduction benefits; damage categories; exceedance; HECDSS; damage; frequency 15. NUMBER OF PAGES PRICE CODE 17. SECURITY CLASSIFICATION OF REPORT UNCLASSIFIED 18. SECURITY CLASSIFICATION OF THIS PAGE UNCLASSIFIED 19. SECURITY CLASSIFICATION OF ABSTRACT UNCLASSIFIED 20. LIMITATION OF ABSTRACT UNLIMITED NSN Standard Form 298 (Rev. 2-89) Prescribed by ANSI Std. Z

3 EAD Expected Annual Flood Damage Computation User s Manual May 1991 Original: June 1977 Revised: August 1979, February 1984 US Army Corps of Engineers Institute for Water Resources Hydrologic Engineering Center 609 Second Street Davis, CA (530) (530) FAX CPD-30

4 EAD Expected Annual Flood Damage Computation Software Distribution and Availability Statement The EAD executable code and documentation are public domain software that was developed by the Hydrologic Engineering Center for the U.S. Army Corps of Engineers. The software was developed at the expense of the United States Federal Government, and is therefore in the public domain. HEC cannot provide technical support for this software to non-corps users. See our software vendor list ( to locate organizations that provide the program, documentation, and support services for a fee. However, we will respond to all documented instances of program errors. Documented errors are bugs in the software due to programming mistakes not model problems due to user-entered data.

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