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The Spatial Inference Problem.
Charles Stark Draper Laboratory, Cambridge, Massachusetts 1972:10 pages
Spatial inference problems in industrial monitoring of air contaminants are reviewed. The problem usually arises when the contaminant detector cannot be attached directly to the worker, the pollutant concentration is not constant in space, the worker's location (or breathing zone) is not constant in time, or the pollutant concentration is not constant in time. An example of a spatial inference problem is discussed. A worker works near a container of a volatile, noxious, or toxic substance. The detector is a large piece of equipment, too bulky to be mounted on the worker. The dispersion of the fumes varies due to changes in the air currents induced by the ventilation system. The pollutant concentration also varies in time due to the container being opened and closed at random. The problem is to use the information obtained at the detector to determine the exposure of the worker. Possible solutions are discussed. These include detectors than can be mounted directly on the worker and developing a formal mathematical model that can be programmed for a computer and ultimately applied in the field. General principles for computer modeling the problem are discussed. The author recommends that attempts should be made to develop portable detectors first. Attempts should then be made to develop a computer model.
NIOSH-Contract; Contract-099-72-0018; Air-contamination; Air-sampling; Dust-control; Dust-samplers; Sampling-equipment; Testing-equipment; Industrial-hygiene; Safety-research; Safety-equipment;
NTIS Accession No.
Charles Stark Draper Laboratory, Cambridge, Massachusetts
Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division