Collaborative Research: An Environmental Information System for Hypoxia in Corpus Christi Bay: A WATERS Network Testbed

合作研究：科珀斯克里斯蒂湾缺氧环境信息系统：WATERS 网络测试平台

• 批准号: 0610127
• 负责人: James Bonner
• 金额: --
• 依托单位: Adirondack Area Network, Inc
• 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: 2006-08-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0610127&HistoricalAwards=false
• 关键词: Collaborative; Research; Environmental; Information; System

0610127BonnerThis proposal seeks funds to create and demonstrate a prototype Environmental Information System (EIS) that couples sensor measurements with end-to-end cyberinfrastructure to improve understanding of hypoxia in Corpus Christi Bay (CC Bay), Texas. Hypoxia is a common problem in coastal waters that occurs when dissolved oxygen concentrations fall below 2 mg/L. Previous field studies indicate that hypoxia has caused about a ten-fold reduction in benthic standing stock and diversity in CC Bay. Hypoxia in the bay has been correlated with salinity-induced stratification of the bay, but causes of stratification and the spatial and temporal patterns of the hypoxia remain uncertain. An interdisciplinary team of hydrologists, environmental engineers, and biologists will collaborate to: (1) evaluate how sensor data can be used to guide adaptive sampling; (2) create improved models of hypoxia, coupling numerical hydrodynamic and oxygen models with data-mining methods; and (3) demonstrate how these information sources can be integrated into emerging cyberinfrastructure tools to create an EIS to improve understanding of hypoxia in the bay. The project is intended as a prototype demonstration on the broader use of the EIS for collaborative research and decision support. This collaborative project is one of a series of test-bed projects funded to support the development of enabling technologies for the WATERS Network, a distributed environmental observatory initiative of NSF.

0610127BONNERTHNIS提案寻求基金来创建和演示一种原型环境信息系统（EIS），该系统将传感器测量与端到端的网络基础设施相结合，以提高对德克萨斯州科珀斯克里斯蒂湾（CC BAY）缺氧的理解。低氧是沿海水域中的一个常见问题，当溶解氧浓度降至2 mg/L以下时，发生的问题是一个常见的问题。先前的现场研究表明，缺氧导致CC湾的底栖储备和多样性降低了十倍。海湾中的缺氧与盐度诱导的海湾分层有关，但是分层的原因和缺氧的空间和时间模式仍然不确定。水文学家，环境工程师和生物学家的跨学科团队将合作：（1）评估传感器数据如何用于指导自适应采样； （2）创建改进的缺氧模型，将数值流体动力和氧模型与数据挖掘方法耦合； （3）演示如何将这些信息源集成到新兴的网络基础设施工具中，以创建EIS以提高对海湾缺氧的理解。该项目旨在作为针对EIS在协作研究和决策支持中更广泛使用的原型演示。该协作项目是一系列资助的测试床项目之一，该项目旨在支持NSF的一项分布式环境天文台计划，以支持Waters Network的启用技术。