CLEANER: Planning a Multiscale Sensor Network to Observe, Forecast and Manage

CLEANER：规划用于观测、预测和管理的多尺度传感器网络

• 批准号: 0414300
• 负责人: Thomas Harmon
• 金额: $ 8.6万
• 依托单位: University of California - Merced
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-15 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0414300&HistoricalAwards=false
• 关键词: CLEANER; Planning; Multiscale; Sensor; Network

0414300 Harmon This proposal by UC Merced and the Center for Embedded Networked Sensing (CENS) at UCLA targets the greater San Joaquin River basin (SJRB) for distributed, networked sensing of watershed quality.Creating a large-scale sensor network that integrates in-situ and remote sensor data with state-of-the-art simulators and adaptive management tools will require interdiscipline collaboration of the highest caliber, and will result in an observational network that reveals previously unobservable phenomena. The sensor network will serve as a model for elucidating trends and differentiating between cyclical and episodic trend drivers, including interannual and spatially distributed variations in water cycle components from changes created by global warming and intermittent events, such as brush fires, droughts, and El Nino episodes.

0414300 Harmon This proposal by UC Merced and the Center for Embedded Networked Sensing (CENS) at UCLA targets the greater San Joaquin River basin (SJRB) for distributed, networked sensing of watershed quality.Creating a large-scale sensor network that integrates in-situ and remote sensor data with state-of-the-art simulators and adaptive management tools will require interdiscipline collaboration of the highest口径，并将导致一个观察性网络，该网络揭示了以前无法观察的现象。 传感器网络将作为阐明趋势并区分周期性趋势驱动因素的模型，包括在水循环成分中与全球变暖和间歇性事件所产生的变化（例如刷子火灾，干旱，干旱，干旱，干旱和El Nino Noino发作）所产生的变化的变化。