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

由加州大学默塞德分校和加州大学洛杉矶分校嵌入式网络传感中心（CENS）提出的这项建议针对大圣华金河流域（SJRB）进行分布式、网络化的流域质量传感。创建一个大型传感器网络，将现场和远程传感器数据与最先进的模拟器和自适应管理工具集成在一起，将需要最高水平的跨学科合作，并将形成一个观测网络，揭示以前无法观察到的现象。传感器网络将作为一个模型，用于阐明趋势并区分周期性和偶发性趋势驱动因素，包括全球变暖和间歇性事件（如丛林大火、干旱和厄尔尼诺事件）造成的水循环成分年际和空间分布变化。

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.