SIRG: Collaborative Research: Development of Sensor and Sensor Networks to Detect and Characterize Significant Environment Episodic Events

0528864 Bonner该项目将开发两种水生颗粒传感器，测试防污材料，并开发传感器部署系统和集成传感器网络技术，以表征浅海湾和其他近岸环境中的颗粒。两种颗粒传感器都将采用流式细胞术原理。第一个传感器将更复杂，并将提供计数，大小和大小分布。它还将区分有机和无机粒子、非生物和生物粒子以及活的和死的生物粒子。第二个传感器将是一个较便宜的颗粒大小分析仪。研究小组将开发一种创新的方法，以尽量减少生物污损问题，这一直困扰着过去的努力，以维持观测系统在高生产力的亚热带沃茨。自动将剖面仪降低到水中并在每组测量之后将其从水中移除以进行清洁的机器人系统可以为重要问题提供简单的解决方案。

0528864 Bonner This project will develop two aquatic particle sensors, test anti-fouling materials, and develop sensor deployment systems and integrated sensor network technology to characterize particles in shallow embayments and other near-shore environments. Both particle sensors will employ flow cytometry principles. The first sensor will be more sophisticated and will provide counts, sizes, and size distributions. It also will discriminate between organic and inorganic particles, abiotic and biotic particles, and live and dead biotic particles. The second sensor will be a less expensive particle-size analyzer. The team of investigators will develop an innovative approach to minimize the biofouling problem that has plagued past efforts to maintain observing systems in highly productive subtropical waters. A robotic system that autonomously lowers the profiler into the water and removes it from the water for cleaning after each set of measurements may provide a simple solution to an important problem.