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.

0610127Bonner 该提案寻求资金来创建和演示环境信息系统 (EIS) 原型，该系统将传感器测量与端到端网络基础设施结合起来，以提高对德克萨斯州科珀斯克里斯蒂湾 (CC Bay) 缺氧的了解。缺氧是沿海水域的常见问题，当溶解氧浓度低于 2 毫克/升时就会发生。先前的实地研究表明，缺氧已导致 CC 湾的底栖现存种群和多样性减少约十倍。海湾缺氧与盐度引起的海湾分层有关，但分层的原因以及缺氧的时空模式仍不确定。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）评估如何使用传感器数据来指导自适应采样； (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； (3) 展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，以增进对海湾缺氧的了解。该项目旨在作为 EIS 更广泛地用于协作研究和决策支持的原型演示。该合作项目是资助支持 WATERS 网络（NSF 的分布式环境观测站计划）开发支持技术的一系列试验台项目之一。