A digital environment for water resources

水资源数字环境

• 批准号: NE/T005564/1
• 负责人: Marian Scott
• 金额: $ 29.15万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FT005564%2F1
• 关键词: digital; environment; water; resources

Our proposal will develop and utilise smart sensors, test new infrastructure and approaches for data cleaning, as well as developing predictive analytics and a visualisation platform, to improve the next generation of environmental regulations for water resources. Our tools will allow businesses (eg the whisky and agricultural sectors) to individually assess and control their environmental interactions and ultimately enable regulators to remove the need for traditional environmental inspection and monitoring. Partners in the multi-disciplinary proposal are the Scottish Environment Protection Agency (SEPA) and the Innovation Centre for Sensor and Imaging Systems (CENSIS). Our project will scope out existing and new technology for sensing water resources in remote environments, and then in a demonstrator project, explore the practical implementation of a network of sensors across a catchment integrating data from the national river flow archive, the SEPA managed network of gauging stations, and rainfall information. The results will allow us to assess the potential of this technology to disrupt traditional approaches to environmental regulation by providing a framework for enhanced and superior information gathering while removing the extensive cost and regulatory burden associated with field officers conducting inspections and sampling.A key aspect of this proposal is the promotion and deployment of sensors and communication and analytical methods to extend a previous small scale sensor pilot into a prototype digital predictive and visualisation framework testing the communications infrastructure and integration of data streams to enhance the ability of the UK to better manage water resources (quality and availability) in the context of remote, rural environments. This links into existing networks including the national river flow archive and the SEPA supported network of river gauging stations. In this larger demonstrator project, further sensors will be deployed providing additional spatial coverage of water level sensors, while adding additional types of sensor (rainfall and soil moisture), as well as scoping using a satellite based communications solution. This study will evaluate the potential of reliable and easily deployable sensor communication infrastructure based on the low power wide area network LoRaWAN standard monitoring rural environmental areas. As well as data transmission and communication challenges we will also be attempting to address off-grid powering challenges by making use of low power devices and active duty cycle management as well as renewable energy sources (e.g. solar/wind) in a low cost sustainable format. We will use new infrastructure extending the range of environmental variables to be measured, and test different data communication technologies including satellite (IoT), daisy chaining LoRaWAN and using battery operated LoRaWAN and LoRaWAN hybrid repeater nodes. These are very leading edge and we will be working with the industry leader Semtech in not only new lower power silicon (Q319) but a roll-out of a new meshing standard (TBC). The Hybrid repeater nodes will be custom and bespoke to this project.Our proposal could lead ultimately to many new remote networks that are independent of any infrastructure requirements.

我们的提案将开发和利用智能传感器，测试新的基础设施和数据清理方法，以及开发预测分析和可视化平台，以改善下一代水资源环境法规。我们的工具将使企业（如威士忌和农业部门）能够单独评估和控制其环境相互作用，并最终使监管机构能够消除对传统环境检查和监测的需求。多学科提案的合作伙伴是苏格兰环境保护局（SEPA）和传感器和成像系统创新中心（CENSIS）。我们的项目将在远程环境中检测水资源的现有技术和新技术的范围内，然后在一个示范项目中，探索跨流域传感器网络的实际实施，该网络集成了来自国家河流流量档案、SEPA管理的测量站网络和降雨信息的数据。这些结果将使我们能够评估这项技术的潜力，通过提供一个框架，加强和上级信息收集，同时消除与现场官员进行检查和采样相关的广泛成本和监管负担，打破传统的环境监管方法。传感器试点纳入一个原型数字预测和可视化框架，测试通信基础设施和数据流的整合，以提高联合王国在偏远农村环境中更好地管理水资源（质量和可用性）的能力。这将与现有网络连接，包括国家河流流量档案和国家环保总局支持的河流测量站网络。在这个更大的示范项目中，将部署更多的传感器，以提供水位传感器的额外空间覆盖，同时增加其他类型的传感器（降雨和土壤湿度），以及使用基于卫星的通信解决方案进行范围测量。该研究将评估基于低功耗广域网LoRaWAN标准监测农村环境区域的可靠且易于部署的传感器通信基础设施的潜力。除了数据传输和通信挑战外，我们还将尝试通过使用低功率设备和主动占空比管理以及低成本可持续格式的可再生能源（例如太阳能/风能）来解决离网供电挑战。我们将使用新的基础设施来扩展要测量的环境变量的范围，并测试不同的数据通信技术，包括卫星（IoT），菊花链LoRaWAN以及使用电池供电的LoRaWAN和LoRaWAN混合中继器节点。这些都是非常领先的，我们将与行业领导者Semtech合作，不仅在新的低功耗硅（Q319），但推出了一个新的网格标准（TBC）。混合中继器节点将根据本项目定制。我们的建议最终可能导致许多新的远程网络，这些网络独立于任何基础设施要求。

项目成果

Framing data science, analytics and statistics around the digital earth concept

围绕数字地球概念构建数据科学、分析和统计

• DOI: 10.1002/env.2732
• 发表时间: 2022
• 期刊: Environmetrics
• 影响因子: 1.7
• 作者: Scott E