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A Multidisciplinary Study of Spatial and Temporal Scales Containing Information in Turbulent Chemical Plume Tracking
Authors:Weissburg  MJ  Dusenbery  DB  Ishida  H  Janata  J  Keller  T  Roberts  PJW  Webster  DR
Institution:(1) School of Biology, Tokyo Institute of Technology, Tokyo, 1528552, Japan;(2) Department of Physical Electronics, Tokyo Institute of Technology, Tokyo, 1528552, Japan;(3) School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, 30332, U.S.A;(4) Present address: Department of Water Resources, St. Johns River Water Management District, P.O. Box 1429, Palatka, FL, 32178, U.S.A;(5) School of Civil and Environmental Engineering, USA;(6) Georgia Institute of Technology, Atlanta, GA, 30332, U.S.A
Abstract:This report describes the results of a multidisciplinary study of turbulent chemical plume tracking of blue crabs and autonomous agents. The study consists of a coordinated investigation of animal behavior, fluid mechanics, strategy simulations, and chemical sensing. The objective is to provide a comprehensive understanding of chemical plume tracking in a single biological system and to prescribe strategies that are effective for autonomous agents. The consensus of the study is that spatial variation in the plume, measured by sampling at multiple locations simultaneously, yields information that is useful for plume tracking. Behavioral investigations reveal that blue crabs demonstrate the ability to detect the chemical plume and use lateral movements to avoid losing contact with the odor. Blue crabs move rapidly towards the source, strongly suggesting that temporal comparisons of odor properties are not employed during navigation. Analysis of the concentration fields reveals that a spatial correlation between spanwise-separated sensors indicates the relative direction of the plume centerline over short time periods provided the sensor spacing is scaled appropriately relative to the plume. Similarly, simulations of tracking strategies reveal an optimal separation for the sensors at a distance roughly equal to the plume width; both smaller and larger sensor spans degrade tracking performance. The simulations further reveal an optimal sensor size above which the fine details of the concentration distribution are obscured and below which there is insufficient contact with the odor to enable effective navigation. Finally, analysis of the chemical signal shows that the frequency dependent correlation function between two (or more) sensors indicates the relative position of the source.
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