Pollution

AIR QUALITY MONITORING, ASSESSMENT AND MANAGEMENT by Nicolás A. Mazzeo (ed.)

By Nicolás A. Mazzeo (ed.)

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Having georeferenced data available it is possible to use interpolation tools and consequently to generate pollutant Planning Air Pollution MonitoringNetworks in Industrial Areas by Means of Remote Sensed Images and GIS Techniques 23 distribution maps. GIS supports query and overlapping of such maps and land use/cover maps, derived by remote sensing image processing. The final goal of this approach is to provide smart information that can be integrated with legal and socio-economical features of the study area.

Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery. 7, (July 2006), pp. 799-811, ISSN 0099-1112. 2 Design of Urban Air Quality Monitoring Network: Fuzzy Based Multi-Criteria Decision Making Approach Abdullah Mofarrah1, Tahir Husain2 and Badr H. Alharbi3 1,2Faculty of Engineering and Applied Science, Memorial University, St. John's, 3National Center for Environmental Technology, King Abdulaziz City for Science and Technology, Riyadh, 1,2Canada 3Saudi Arabia 1.

912 Table 6. 188 Design of Urban Air Quality Monitoring Network: Fuzzy Based Multi-Criteria Decision Making Approach 37 The crisp values of weighted fuzzy screening scores (SC) of each grid were estimated by applying eq. 6 and reported in Table 7. Based on the top SCx scores, 50 potential locations were indentified for second step analysis. Grid no A1 A2 A3 A4 A5 A6 . 388 . 2273 . 1483 Table 7. 75 were used separately and compared with the coefficient in the spatial correlation (R) between the pollutant concentration of the potential monitoring station and the neighboring locations surrounding it.

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