Optimization of ambient Air Quality Monitoring Networks : (Part III)

P M Modak; B N Lohani

doi:10.1007/BF00396393

Optimization of ambient Air Quality Monitoring Networks : (Part III)

Environ Monit Assess. 1985 Mar;5(1):39-53. doi: 10.1007/BF00396393.

Authors

P M Modak¹, B N Lohani

Affiliation

¹ Environmental Science and Engineering Group, Indian Institute of Technology, 400 076, Powai, Bombay, India.

PMID: 24257935
DOI: 10.1007/BF00396393

Abstract

The methodologies presented in Parts I and II (refer Modak and Lohani, 1984a and b) are essentially for deciding the best number and configuration for a single pollutant monitor. In practical situations however, Air Quality Monitoring Networks (AQMN) are expected to measure more than one pollutant and therefore simultaneous consideration of different types of pollutants must be made.In this paper, two new approaches have been developed for the multipollutant AQMN design. The first method makes use of the index theory and the other makes use of the principles of Pareto optimality. As an illustration of these methodologies, an example from Taipei City, Taiwan is considered.