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: 0610034
• 负责人: David Maidment
• 金额: --
• 依托单位: University of Texas at Austin
• 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 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0610034&HistoricalAwards=false
• 关键词: Collaborative; Research; Environmental; Information; System

0610034MaidmentThis 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.

0610034 Maidment该提案寻求资金来创建和演示一个原型环境信息系统（EIS），该系统将传感器测量与端到端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湾）缺氧的理解。缺氧是沿海沃茨的一个常见问题，当溶解氧浓度低于2 mg/L时就会发生。之前的实地研究表明，缺氧已导致CC湾底栖生物现存量和多样性减少约十倍。海湾中的缺氧与海湾的盐度引起的分层有关，但分层的原因和缺氧的时空模式仍然不确定。一个由水文学家、环境工程师和生物学家组成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，将数值流体动力学和氧气模型与数据挖掘方法相结合;以及（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，从而提高对缺氧的理解在海湾。该项目的目的是作为一个原型示范，更广泛地使用环境影响报告书的合作研究和决策支持。这个合作项目是一系列试验台项目之一，资助支持沃茨网络，一个分布式环境观测站的NSF倡议使能技术的发展。