Abstract
A methodology for mapping the spatial distribution of air pollutants by computer is presented. Using input data from discretely located air monitoring stations, estimates of pollutant concentrations are computed at 1.2-mile (2-km) increments between stations by two-dimensional interpolation. Maps are then printed to show the resulting distribution. Application of this technique to mapping the oxidant distribution in a select study area is demonstrated. Oxidant data are displayed in both measured units (e.g., pphm) and as Pollutant Standards Index values. Practical applications examined include the use of mapping to site air monitoring stations, providing public information, preparation of environmental impact studies, and conducting trend analyses.
Highlights
A technique has been presented for portraying the spatial distribution of pollutants between discretely located monitoring stations by use of computer generated maps
Modeling the spatial distribution of air pollutants is achieved ' by two-dimensional interpolation of data recorded at the monitoring station
By using computers of a size within reach of local agencies and private practitioners, maps can be prepared for various purposes, including the siting of additional stations, public information, environmental impact studies, and trend analysis
Summary
The quality of ambient air is monitored throughout the United States by Federal, state, and local regulatory agencies. Ambient air quality data are generated by networks of discretely located monitoring stations. L A mapping system that spatially distributes ambient pollutant concentration t between the discretely loca ted measuring points would provide an attractive foption for reporting air quality data. Boundary Conditions.- An adequate estimate of concentration gradients r~ quires that air monitoring stations surround each nodal point. If interest is limited to the spatial distribution of air quality at nodes betww ' stations internal to the study area, the boundary condition specification becomes less important. The utility of this mapping technique ranges from applications by regulato!J agencies to applications by the private practitioner. U I Ill 1 n G1u IU IU UI Ut U1 " ' 10 lU
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