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A comprehensive review of catchment water quality monitoring using a tiered framework of integrated sensing technologies

机译:用综合传感技术综合框架全面审查集水质水质监测

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摘要

Due to the growing threat of climate change, new advances in water quality monitoring strategies are needed now more than ever. Reliable and robust monitoring practices can be used to improve and better understand catchment processes affecting the water quality. In recent years the deployment of long term in-situ sensors has increased the temporal and spatial data being obtained. Furthermore, the development and research into remote sensing using satellite and aerial imagery has been incrementally integrated into catchments for monitoring areas that previously might have been impossible to monitor, producing high-resolution data that has become imperative to catchment monitoring. The use of modelling in catchments has become relevant as it enables the prediction of events before they occur so that strategic plans can be put in place to deal with or prevent certain threats. This review highlights the monitoring approaches employed in catchments currently and examines the potential for integration of these methods. A framework might incorporate all monitoring strategies to obtain more information about a catchment and its water quality. The future of monitoring will involve satellite, in-situ and air borne devices with data analytics playing a key role in providing decision support tools. The review provides examples of successful use of individual technologies, some combined approaches and identifies gaps that should be filled to achieve an ideal catchment observation system.
机译:由于气候变化的威胁不断发展,现在需要新的水质监测策略的新进步。可靠且强大的监控实践可用于改善和更好地了解影响水质的集水过程。近年来,长期原位传感器的部署增加了正在获得的时间和空间数据。此外,使用卫星和空中图像遥感的开发和研究已经逐渐集成到了用于监测区域的集水区,以前可能无法监测,产生已经进入监测的势在一体的高分辨率数据。在集水区内建模已经变得相关,因为它可以在发生之前预测事件,以便可以解决战略计划来处理或防止某些威胁。本综述突出了目前集水机组中采用的监测方法,并审查了这些方法集成的可能性。框架可能包含所有监测策略,以获得有关集水区及其水质的更多信息。监控的未来将涉及卫星,原位和空气传播设备,数据分析在提供决策支持工具方面发挥着关键作用。审查提供了成功使用各个技术的例子,一些综合方法和识别应填补的差距,以实现理想的集水观测系统。

著录项

  • 来源
    《Science of the total environment》 |2021年第15期|142766.1-142766.12|共12页
  • 作者单位

    School of Chemical Sciences Dublin City University Ireland DCU Water Institute Dublin City University Dublin 9 Ireland;

    DCU Water Institute Dublin City University Dublin 9 Ireland Insight Centre for Data Analytics Ireland;

    DCU Water Institute Dublin City University Dublin 9 Ireland Insight Centre for Data Analytics Ireland School of Electronic Engineering Dublin City University Glasnevin Dublin 9 Ireland;

    School of Chemical Sciences Dublin City University Ireland DCU Water Institute Dublin City University Dublin 9 Ireland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    In-situ sensor; Satellite; Drone; Aerial imaging; Hyperspectral; Monitoring technologies;

    机译:原位传感器;卫星;无人机;空中成像;高光谱;监控技术;

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