Risk-based objectives for the allocation of chemical, biological, and radiological air emissions sensors.
This article addresses the problem of allocating devices for localized hazard protection across a region. Each identical device provides only local protection, and the devices serve localities that are exposed to nonidentical intensities of hazard. A method for seeking the optimal allocation Policy Decisions is described, highlighting the potentially competing objectives of maximizing local risk reductions and coverage risk reductions. The metric for local risk reductions is the sum of the local economic risks avoided. The metric for coverage risk reductions is adapted from the p-median problem and equal to the sum of squares of the distances from all unserved localities to their closest associated served locality. Three graphical techniques for interpreting the Policy Decisions are presented. The three linked graphical techniques are applied serially. The first technique identifies Policy Decisions that are nearly Pareto optimal. The second identifies locations where sensor placements are most justified, based on a risk-cost-benefit analysis under uncertainty. The third displays the decision space for any particular policy decision. The method is illustrated in an application to chemical, biological, and/or radiological weapon sensor placement, but has implications for disaster preparedness, transportation safety, and other arenas of public safety.
Lambert
James H
JH
University of Virginia, Center for Risk Management of Engineering Systems, Charlottesville, VA, USA. lambert@virginia.edu
Farrington
Mark W
MW
D000388:Air; D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution; D000398:Air Pollution, Radioactive / Q000032:analysis*; D003362:Cost-Benefit Analysis; D004781:Environmental Exposure / Q000517:prevention & control*; D004782:Environmental Health; D004784:Environmental Monitoring / Q000379:methods; D004787:Environmental Pollution; D006801:Humans; D007202:Indicators and Reagents; D015233:Models, Statistical; D008962:Models, Theoretical; D012306:Risk; D012308:Risk Management / Q000379:methods*
D000393:Air Pollutants; D007202:Indicators and Reagents