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The preferential siting of the locations of monitors of hazardousenvironmental fields can lead to the serious underestimation of the impacts ofthose fields. In particular, human health effects can be severelyunderestimated when standard statistical are applied without appropriateadjustment. This report describes an extensive analysis of the siting ofmonitors for a network that measures air pollution PM10 in California's SouthCoast Air Basin SOCAB. That analysis uses EPA data collected during the 1986 to2019 period. Background descriptions, including those published by the US EPAare provided. The analysis uses a very general and fast Monte Carlo test forpreferential sampling developed by Dr Joe Watson, which confirms that the siteswere preferentially sited, as would be expected, given the intended purpose ofthe network to detect noncompliance with air quality standards. Our findingsdemonstrate both the value of that algorithm for application where where suchbackground knowledge is not available, and hence to situations in whichstandard statistical tools require modification.

Preferential monitoring site location in the Southern California Air Quality Basin