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The impact of agricultural activities on water quality: a case for collaborative catchment-scale management using integrated wireless sensor networks.

机译:农业活动对水质的影响:使用集成无线传感器网络进行流域规模协作管理的案例。

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The challenge of improving water quality is a growing global concern, typified by the European Commission Water Framework Directive and the United States Clean Water Act. The main drivers of poor water quality are economics, poor water management, agricultural practices and urban development. This paper reviews the extensive role of non-point sources, in particular the outdated agricultural practices, with respect to nutrient and contaminant contributions. Water quality monitoring (WQM) is currently undertaken through a number of data acquisition methods from grab sampling to satellite based remote sensing of water bodies. Based on the surveyed sampling methods and their numerous limitations, it is proposed that wireless sensor networks (WSNs), despite their own limitations, are still very attractive and effective for real-time spatio-temporal data collection for WQM applications. WSNs have been employed for WQM of surface and ground water and catchments, and have been fundamental in advancing the knowledge of contaminants trends through their high resolution observations. However, these applications have yet to explore the implementation and impact of this technology for management and control decisions, to minimise and prevent individual stakeholder's contributions, in an autonomous and dynamic manner. Here, the potential of WSN-controlled agricultural activities and different environmental compartments for integrated water quality management is presented and limitations of WSN in agriculture and WQM are identified. Finally, a case for collaborative networks at catchment scale is proposed for enabling cooperation among individually networked activities/stakeholders (farming activities, water bodies) for integrated water quality monitoring, control and management.
机译:以欧洲委员会水框架指令和美国《清洁水法》为代表,提高水质的挑战日益引起全球关注。造成水质差的主要因素是经济,水管理差,农业实践和城市发展。本文回顾了面源在养分和污染物贡献方面的广泛作用,尤其是过时的农业实践。目前,水质量监测(WQM)通过多种数据采集方法进行,从抓样到基于卫星的水体遥感。基于调查的采样方法及其众多局限性,建议无线传感器网络(WSN)尽管有自身局限性,但对于WQM应用程序的实时时空数据收集仍然非常有吸引力且有效。 WSN已被用于地表水,地下水和集水区的WQM,并且对于通过其高分辨率观测来提高对污染物趋势的了解至关重要。但是,这些应用程序尚未探索该技术对管理和控制决策的实现方式和影响,以自动和动态的方式最小化和防止单个利益相关者的贡献。在此,介绍了由WSN控制的农业活动和不同环境分区进行综合水质管理的潜力,并确定了WSN在农业和WQM中的局限性。最后,提出了一个流域规模的协作网络的案例,以使各个网络活动/利益相关者(农业活动,水体)之间能够进行合作,以进行综合水质监测,控制和管理。

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