MRI: Development of the Intelligent River (R), A Basin-Scale Monitoring Instrument

提案#：11-26344PI(S)：Hallstrom，Jason Edison，Gene；Geist，Robert；Goasguen，Sebastian：Post，Christopher Institution：克莱姆森大学标题：MRI/Dev：Dev of the Intelligence River(R)，一个流域规模的监测仪器项目建议：该项目开发一个由传感器网络组成的河流和水资源，该传感器网络在流域上形成智能传感器网络，旨在为管理资源在适当的时间和空间尺度上提供对基本环境和水文参数的实时访问。基于智能River®，该观察仪包括现场传感器，形成了一个可扩展的智能织物。该仪器实现了一种新的1.传感结构：用作仪器的透镜，由多个传感器网络组成。传输和上行链路系统：负责将数据从镜头转发到高性能计算骨干网。观察管理中间件：负责标准化数据，确保有效性，并将产生的数据流发送到最终用户应用程序4。存储库和演示服务：用作仪器目镜，由一组可扩展的应用程序组成。1中的设计目标包括对互连标准的广泛支持、对高保真传感的支持、可扩展的时间和空间覆盖、快速可靠的部署和系统寿命。在2中，这些目标包括对不同环境的适应性、覆盖可扩展性、容错数据传输和低成本运营费用。3中包括可伸缩性、实时性能和容错、安全的消息传递。4中的默认仪器包包括一个应用程序，用于将观测数据存档为通用的科学数据格式，并将这些数据呈现给广泛的最终用户，包括科学家、教育工作者、生态系统管理人员和立法政策制定者。显然，水供需之间日益严重的不匹配影响着我们所有人：美国的分水岭正处于危险之中！这个项目在EPA和Usage的支持下做了一些事情。在环境科学的范围内，这项工作探索了土地利用、能源生产、气候影响和水资源之间的联系，应用信息和计算系统。该仪器沿着萨凡纳河和两个相邻分水岭的全程进行设计、建造和部署，涵盖了广泛的物理和化学参数，应该会产生适用于其他分水岭和跨学科的重大研究贡献，从传感器网络到操作系统设计到云计算，再到高性能的生态系统可视化。完成后，该工具应能开展一类新的数据密集型环境生态方案，从河流运输现象的精细研究到评估水电对温室气体浓度的影响，以及验证基于动力学的质量模型。此外，该仪器应该在传感器网络、操作系统、云计算和高性能生态系统可视化领域做出重大研究贡献。广泛的影响：区域和国家都应该感受到影响。在国家一级，该工具应启动向实时管理的变革性转变。在地方一级，该工具将有助于启动两个新的学位项目，建立与其他机构的合作关系，并作为连接地区高中和博物馆的外联中心。

Proposal #: 11-26344PI(s): Hallstrom, Jason Edison, Gene; Geist, Robert; Goasguen, Sebastian: Post, ChristopherInstitution: Clemson University Title: MRI/Dev: Dev of the Intelligent River (R), a Basin-Scale Monitoring Instrument Project Proposed:This project, developing a river and water-resource consisting of a sensor network that forms an intelligent sensor fabric on a river basin, aims to provide real-time access to essential environmental and hydrological parameters at appropriate temporal and spatial scale for managing resources. Based on the INTELLIGENT RIVER®, this observation instrument comprises in situ sensors that form an expansive intelligent fabric. The instrument enables a new 1. Sensing Fabric: serves as the instrument lens and comprises multiple sensor networks.2. Transit and Uplink System: responsible for relaying the data from the lens to a high-performance computing backbone.3. Observation Management Middleware: responsible for normalizing data, ensuring validity, and routing the resulting data streams to end users applications4. Repository and Presentation Services: serves as an instrument eyepiece and comprises an extensible set of applications.The design of the goals in 1 include broad support for interconnect standards, support for high-fidelity sensing, scalable temporal and spatial coverage, rapid and reliable deployment, and system longevity. In 2, these goals include adaptability to diverse environments, coverage scalability, fault-tolerant data transport, and low cost operating expense. Scalability, real-time performance, and fault-tolerant, secure messaging are included in 3. The default instrument package in 4 includes an application for archiving observation data to common scientific data formats and presenting that data to a broad audience of end-users, including scientists, educators, ecosystem managers, and legislative policy makers.It is evident that the growing mismatch between water supply and demand impacts us all: USA watersheds are in peril! This project does something about it with support from EPA and USAGE. Within the reach of environmental science, this work explores the connections among land use, energy production, climate effects, and water resources applying information and computing systems. The design, construction, and deployment of the instrument along the full reach of the Savanna River and two adjacent watersheds, covering a broad range of physical and chemical parameters should yield significant research contributions applicable to other watersheds and across subdisciplines, from sensor networking, to operating system design to cloud computing, to high performance ecosystem visualization. When complete, the instrument should enable a new class of data-intensive environmental ecological programs, ranging from fine-scale studies of river transport phenomenon to assessments of hydroelectric impacts on greenhouse gas concentrations, as well as the validation of kinetic-based quality models. Moreover, the instrument should yield significant research contributions in the areas of sensor networking, operating system, cloud computing, and high-performance ecosystem visualization.Broader Impacts: The impact should be felt both regionally and nationally. At the national level, the instrument should initiate a transformative shift towards real-time management. At the local level the instrument will contribute to initiate two new degree programs, creating collaborative ties with other institutions, and serve as an outreach hub that links regional high schools and museums.