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.

这项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)缺氧的了解。低氧是沿海水域的常见问题，当溶解氧浓度降至2 mg/L以下时，就会发生这种问题。以往的野外研究表明，低氧已导致CC海湾底栖动物现存量和多样性减少约十倍。海湾的低氧与盐度引起的海湾分层有关，但分层的原因以及低氧的空间和时间模式仍不确定。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)评估如何使用传感器数据来指导适应性采样；(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)演示如何将这些信息源整合到新兴的网络基础设施工具中，以创建一个EIS，以改善对海湾缺氧的了解。该项目旨在作为更广泛地使用环境影响报告书进行协作研究和决策支持的原型示范。这一合作项目是一系列试验台项目之一，旨在支持为国家科学基金会的分布式环境观测站项目--水域网络--开发使能技术。