Systems Applications, Incorporated, 94903, San Rafael, CA, USA.
Environ Monit Assess. 1986 Jan;6(1):1-11. doi: 10.1007/BF00394284.
An objective methodology is presented for determining the number and disposition of ambient air quality stations in a monitoring network for the primary purpose of compliance with air quality standards. The methodolgy utilizes a data base with real or simulated data from an air quality dispersion model for application with a two-step process for ascertaining the optimal monitoring network. In the first step, the air quality patterns in the data base are collapsed into a single composite pattern through a figure-of-merit (FOM) concept. The most desirable locations are ranked and identified using the resultant FOM fields. In the second step the network configuration is determined on the basis of the concept of spheres of influence (SOI) developed from cutoff values of spatial correlation coefficients between potential monitoring sites and adjacent locations. The minimum number of required stations is then determined by deletion of lower-ranked stations whose SOIs overlap. The criteria can be set to provide coverage of less than some fixed, user-provided percentage of the coverage of tha SOIs of the higher ranked stations and for some desired level of minimum detection capability of concentration fluctuations.The methodology is applied in a companion paper (McElroy et al., 1986) to the Las Vegas, Nevada, metropolitan area for the pollutant carbon monoxide.
提出了一种客观的方法来确定空气质量监测网络中环境空气质量站的数量和布置，主要目的是为了符合空气质量标准。该方法利用空气质量扩散模型的数据库中的实际或模拟数据，并采用两步法确定最佳监测网络。在第一步中，通过一种效值（FOM）概念将数据库中的空气质量模式压缩成单个综合模式。使用所得的 FOM 场对最理想的位置进行排名和识别。在第二步中，根据潜在监测站点和相邻位置之间空间相关系数的截断值，从影响范围（SOI）的概念确定网络配置。然后，通过删除 SOI 重叠的较低排名站点，确定所需的最少站点数。可以设置标准，以提供低于某些固定的、用户提供的覆盖范围的百分比，以覆盖更高排名站点的 SOI，并提供所需的最低浓度波动检测能力水平。该方法在一篇配套论文（McElroy 等人，1986 年）中应用于内华达州拉斯维加斯大都市区的污染物一氧化碳。
