Environmental Science and Engineering Group, Indian Institute of Technology, 400 076, Powai, Bombay, India.
Environ Monit Assess. 1985 Mar;5(1):39-53. doi: 10.1007/BF00396393.
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.
第 I 部分和第 II 部分（请参考 Modak 和 Lohani，1984a 和 b）中介绍的方法本质上是为了确定单个污染物监测器的最佳数量和配置。然而，在实际情况下，空气质量监测网络（AQMN）预计将测量多种污染物，因此必须同时考虑不同类型的污染物。在本文中，为多污染物 AQMN 设计开发了两种新方法。第一种方法利用了指标理论，另一种方法利用了帕累托最优原理。作为这些方法的说明，考虑了来自台湾台北市的一个例子。
