Odor Landscapes in Turbulent Environments

A. Celani, E. Villermaux, M. Vergassola
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引用次数: 145

Abstract

The olfactory system of male moths is exquisitely sensitive to pheromones emitted by females and transported in the environment by atmospheric turbulence. Moths respond to minute amounts of pheromones and their behavior is sensitive to the fine-scale structure of turbulent plumes where pheromone concentration is detectible. The signal of pheromone whiffs is qualitatively known to be intermittent, yet quantitative characterization of its statistical properties is lacking. This challenging fluid dynamics problem is also relevant for entomology, neurobiology and the technological design of olfactory stimulators aimed at reproducing physiological odor signals in well-controlled laboratory conditions. Here, we develop a Lagrangian approach to the transport of pheromones by turbulent flows and exploit it to predict the statistics of odor detection during olfactory searches. The theory yields explicit probability distributions for the intensity and the duration of pheromone detections, as well as their spacing in time. Predictions are favorably tested by using numerical simulations, laboratory experiments and field data for the atmospheric surface layer. The resulting signal of odor detections lends to implementation with state-of-the-art technologies and quantifies the amount and the type of information that male moths can exploit during olfactory searches.
湍流环境中的气味景观
雄蛾的嗅觉系统对雌蛾散发的信息素和通过大气湍流在环境中传播的信息素非常敏感。飞蛾对微量的信息素有反应,它们的行为对信息素浓度可检测到的湍流羽流的精细结构很敏感。信息素气味的信号在定性上已知是间歇性的,但其统计特性的定量表征是缺乏的。这个具有挑战性的流体动力学问题也与昆虫学、神经生物学和旨在在控制良好的实验室条件下再现生理气味信号的嗅觉刺激器的技术设计有关。在这里,我们开发了一种拉格朗日方法来研究湍流中信息素的运输,并利用它来预测嗅觉搜索过程中气味检测的统计数据。该理论给出了信息素探测强度和持续时间的明确概率分布,以及它们在时间上的间隔。利用数值模拟、实验室实验和大气表层的现场数据,对预测结果进行了良好的验证。气味检测产生的信号有助于使用最先进的技术,并量化雄性飞蛾在嗅觉搜索过程中可以利用的信息的数量和类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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