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Linking Science And Management In The Adoption Of Sensor Network Technology In The Great Barrier Reef Coast, Australia

机译:在澳大利亚大堡礁海岸采用传感器网络技术将科学与管理联系起来

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摘要

Coastal and reef policy decisions and management programs require research to address current and emerging issues, to detect trends in key environmental variables and to help evaluate the effectiveness of management strategies. The technology and infrastructure components are now well developed and understood, but the useful application of sensor network data and efficient delivery of real-time information still needs improvement to better incorporate management needs and priorities. This paper aims to contribute to the current understanding of the adoption of wireless technology in research and practice, by identifying the main drivers and barriers to the adaptive deployment of an environmental sensor network along the Great Barrier Reef coast. Specifically, it addresses the extent to which the deployment of sensor networks and the delivery of real-time data can best suit managers' and decision makers' needs by providing timely and useful spatial data. Study findings indicate that, although researchers and managers ask significantly different questions requiring real-time spatial data, there is great potential and interest from both science and management for continuous automatic monitoring of environmental parameters. Some of the key research and management needs that the sensor network technology should address include measuring water (marine) quality at biological monitoring sites, water circulation patterns and flood plume water quality, gathering long-term data on turbidity, photosynthetically active radiation and chlorophyll a, and developing uniform standards for the provision of data to networks.
机译:沿海和礁石政策决策和管理计划需要进行研究以解决当前和新出现的问题,以发现关键环境变量的趋势并帮助评估管理策略的有效性。现在已经很好地开发和理解了技术和基础结构组件,但是仍然需要改进传感器网络数据的有用应用程序和实时信息的有效传递,以更好地结合管理需求和优先级。本文旨在通过确定大堡礁沿岸自适应部署环境传感器网络的主要驱动因素和障碍,为当前在研究和实践中采用无线技术的理解做出贡献。具体来说,它通过提供及时而有用的空间数据,解决了传感器网络的部署和实时数据的交付最能满足管理者和决策者需求的程度。研究结果表明,尽管研究人员和管理人员提出了不同的问题,需要实时空间数据,但是科学和管理界对于连续自动监测环境参数具有巨大的潜力和兴趣。传感器网络技术应满足的一些关键研究和管理需求包括:测量生物监测现场的水(海洋)质量,水循环模式和洪流水质,收集有关浊度,光合有效辐射和叶绿素a的长期数据。 ,并为向网络提供数据制定统一的标准。

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