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

SIRG：合作研究：开发传感器和传感器网络来检测和表征重大环境偶发事件

• 批准号: 0528847
• 负责人: James Bonner
• 金额: $ 12.15万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-01-01 至 2008-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0528847&HistoricalAwards=false
• 关键词: SIRG; Collaborative; Research; Development; Sensor

0528847 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.

0528847 Bonner 该项目将开发两个水生颗粒传感器，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。两种粒子传感器都将采用流式细胞术原理。第一个传感器将更加复杂，并将提供计数、尺寸和尺寸分布。它还可以区分有机和无机颗粒、非生物和生物颗粒以及活的和死的生物颗粒。第二个传感器将是一个较便宜的粒度分析仪。研究小组将开发一种创新方法，以最大限度地减少生物污垢问题，该问题过去一直困扰着在高产亚热带水域维持观测系统的努力。在每组测量之后，自动将轮廓仪放入水中并从水中取出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。