Risk-Based Spatial Decision Support System for Maintenance Dredging of Navigation Channels
Publication: Journal of Infrastructure Systems
Volume 2, Issue 1
Abstract
Planning for the maintenance and improvement of water navigation infrastructure in the United States is a difficult task exacerbated by the uncertainties and variability in natural, engineering, and economic conditions. The Risk Analysis for Water Resources Investments Research Program in the Institute for Water Resources of the U.S. Army Corps of Engineers has been developing methods and tools to address this issue by incorporating risk analysis and management directly into the Corp's planning and decision making processes. In this paper we present the development of a risk-based spatial decision support system intended to assist in the planning of maintenance dredging activities for navigation channels. The spatial decision support system is based upon a mixed-integer mathematical programming model, the Reliability Based Dynamic Dredging Decision (RBD 3 ) model, that addresses the trade-offs in project costs and channel reliability for annual budgeting and dredge scheduling. A sample application is provided to represent the type of input requirements and to illustrate the types of output and analysis provided by this system.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Apogee Research, Inc. and Dames & Moore. (1993). “Risk-based analysis of maintenance dredging.” Inst. for Water Resour., U.S. Army Corps of Engrs.
2.
Bisschop, J., and Entriken, R. (1993). AIMMS: the modeling system . Paragon Decision Technology.
3.
Charnes, A., and Cooper, and Symonds.(1958). “Cost horizons and certainty equivalents: an approach to stochastic programming of heating oil.”Mgmt. Sci., 4(3), 235–258.
4.
Hydrologic Engineering Center (HEC). (1991). HEC-6: scour and deposition in rivers, user's manual, U.S. Army Corps of Engrs.
5.
LAMPS user guide. (1992). Advanced Mathematical Software, Ltd., London, England.
6.
Lund, J. R. (1995). “Sedimentation and control depth uncertainty: modeling for risk analysis of maintenance dredging.” Inst. for Water Resour., U.S. Army Corps of Engrs.
7.
Lund, J. R.(1990). “Scheduling maintenance dredging on a single reach with uncertainty.”J. Waterway, Port, Coastal, and Ocean Engrg., 116, 211–231.
8.
Ratick, S. J., Du, W., and Moser, D. A.(1992). “Development of a reliability based dynamic dredging decision model.”European J. of Operations Res., 58, 318–334.
9.
Ratick, S. J., Garriga, H. M., Klimberg, R., Du, W., Moser, D. A., Skaggs, L., and Lund, J. R. (1995). “Development and application of the reliability based dynamic dredging decision model (RBD 3 ).” Inst. for Water Resour., U.S. Army Corps of Engrs.
10.
ReVelle, C.(1993). “Facility siting and integer friendly programming.”European J. of Operations Res., 65(2), 147–158.
11.
U.S. Army Corps of Engineers. (1994). “Waterborne commerce statistics, annual.” Navigation Data Center, Waterborne Commerce Statistics Ctr., New Orleans, La.
Information & Authors
Information
Published In
Journal of Infrastructure Systems
Volume 2 • Issue 1 • March 1996
Pages: 15 - 22
Copyright
Copyright © 1996 American Society of Civil Engineers.
History
Published online: Mar 1, 1996
Published in print: Mar 1996
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.