A holistic approach for optimal design of air quality monitoring network expansion in an urban area |
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| Authors: | Abdullah Mofarrah Tahir Husain |
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| Institution: | 1. Department of Civil Engineering, Memorial University, St. John''s, NL, A1B3X5 Canada;2. Faculty of Engineering and Applied Science, Memorial University, St. John''s, NL, A1B 3X5 Canada;1. Graduate School of Engineering, Osaka University, Japan;2. Otsu Public Health Center, Shiga, Japan;3. Graduate School of Energy Science, Kyoto University, Japan;1. Battelle Memorial Institute, 505 King Ave, Columbus, OH 43201, USA;2. Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand;3. Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada;4. Battelle Memorial Institute, 2111 Wilson Boulevard, Suite 900, Arlington, VA 22201, USA;5. Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA;1. Logistics Research Center, Shanghai Maritime University, Shanghai 200135, China;2. College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China;3. School of Engineering, Sun Yat-sen University, Guangzhou, 510006, China;4. Institute of Physical Science and Engineering, Guangxi University, Nanning 530004, China;1. Yale School of Forestry and Environmental Studies, 195 Prospect Street, New Haven, CT 06511, USA;2. Yale Center for Environmental Law and Policy, 195 Prospect Street, New Haven, CT 06511, USA;3. NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USA;4. Center for International Earth Science Information Network, The Earth Institute, Columbia University, P.O. Box 1000 (61 Route 9W), Palisades, NY 10964, USA;1. Chemical Engineering Program, Texas A&M University at Qatar, Doha, Qatar;2. Electrical and Computer Engineering Program, Texas A&M University at QATAR, Doha, Qatar |
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| Abstract: | This paper presents an objective methodology for determining the optimum number of ambient air quality stations in a monitoring network. The methodology integrates the multiple-criteria method with the spatial correlation technique. The pollutant concentration and population exposure data are used in this methodology in different ways. In the first stage, the Fuzzy Analytic Hierarchy Process (FAHP) with triangular fuzzy numbers (TFNs) is used to identify the most desirable monitoring locations. The network configuration is then determined on the basis of the concept of sphere of influences (SOIs). The SOIs are dictated by a predetermined cutoff value (rc) in the spatial correlation coefficients (r) between the pollutant concentrations at the monitoring stations identified from first step and the corresponding concentrations at neighboring locations in the region. Finally, the optimal station locations are ranked by using combined utility scores gained from the first and second steps. The expansion of air quality monitoring network of Riyadh city in Saudi Arabia is used as a case study to demonstrate the proposed methodology. |
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