Revolutionising water-quality monitoring in the information age

信息时代彻底改变水质监测

• 批准号: LP180101151
• 负责人: Prof Kerrie Mengersen
• 金额: $ 34.23万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-11-22 至 2024-05-21
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP180101151
• 关键词: Revolutionising; water; quality; monitoring; information

In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection in water-quality data and generating predictions of sediment and nutrient concentrations throughout river networks in near-real time. This will represent a fundamental increase in scientific knowledge, which will be immediately useful in the domains of aquatic science, environmental monitoring, and statistics.

在当今的信息时代，分布在环境中的自动化低成本传感器有可能彻底改变我们监测和管理空气、水和土壤的方式。该项目旨在开发新的统计方法来检测这些现场传感器产生的数据中的异常情况，并在空间和时间上对河网进行计算高效的建模，其应用目标是自动检测水质数据中的异常情况，并近乎实时地对整个河网中的沉积物和营养物质浓度进行预测。这将代表着科学知识的根本性增长，这些知识将立即在水产科学、环境监测和统计领域发挥作用。