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Multiobjective air pollution monitoring network design
Institution:1. Department of Orthopaedic Surgery, Beth Israel Medical Center, New York, NY 10003, USA;2. Department of Orthopaedic Surgery, NYU Hospital for Joint Diseases, New York, NY 10003, USA;3. Department of Orthopaedic Surgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA;4. Department of Orthopaedic Surgery, Miami Children''s Hospital, Miami, FL 33155, USA;5. Department of Orthopaedic Surgery, Nemours Children''s Clinic, Wilmington, DE 19803, USA;6. Department of Orthopaedic Surgery, Shriners Hospitals for Children, Philadelphia, PA 19140, USA;7. Department of Orthopaedic Surgery, Rady Children''s Hospital San Diego, San Diego, CA 92123, USA;1. Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO 80523, USA;2. National Park Service, Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO 80523, USA;3. Air Resource Specialists, 1901 Sharp Point Drive, Suite E, Fort Collins, CO 80525, USA;4. Air Quality Assessment Division, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA;5. Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512, USA;1. Istituto Bruno Leoni, Milan, Italy;2. PwC Advisory, Rome, Italy
Abstract:The methodologies currently available to optimize the locations of air pollutant monitoring stations typically include a single pollutant and a single objective. In this paper, multiple objective functions are introduced that provide performance measures describing the spatial coverage of the network and its ability to detect violations of standards for multiple pollutants. An additional objective regarding the effect of data validity in the design is also considered. The objective functions are cast in a manner that permits considerable flexibility in the model formulation. The numerical difficulties associated with the formulation are discussed as are extensions of the basic framework. The basic model and its extensions have been applied to the design of a monitoring network for Tarragona, Spain.
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