Applications of a wireless chloride sensor in environmental monitoring

N. Harris, A. Cranny, M. Rivers, K. Smettem
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引用次数: 4

Abstract

There is an established need to measure soil salinity, and wireless sensor networks offer the potential to achieve this, coupled with a suitable sensor. However, suitable sensors, up until very recently, have not been available. In this paper we report on the fabrication and calibration of a new low-cost, robust, screen-printed sensor for detecting chloride ions. We also report on two experiments using this sensor. The first is a laboratory-based experiment that shows how sensors can be used to validate modeling results by installing several sensors in a soil column and tracking the vertical migration of a chloride pulse in real time. The second is a trial of multiple sensors installed in a fluvarium (stream simulator) showing that distributed sensors are able to monitor real time changes in horizontal chloride flux in an emulated natural environment. We report on results from both surface flows as well as from sensors at a depth of a few mm in the fluvarium sediment, and differences and trends between the two are discussed. As an example of how such sensors are useful, we note that for the flow regime and sediment type tested, penetration of surface chloride into the river bed is unexpectedly slow and raises questions regarding the dynamics of pollutants in such systems. We conclude that such sensors, coupled with a distributed network, offer a new paradigm in hydrological monitoring and will enable new applications, such as irrigation using mixtures of potable and brackish water with significant cost and resource saving.
无线氯化物传感器在环境监测中的应用
已经确定需要测量土壤盐度,无线传感器网络提供了实现这一目标的潜力,再加上合适的传感器。然而,合适的传感器,直到最近,还没有可用。在本文中,我们报告了一种新的低成本,坚固,丝网印刷传感器用于检测氯离子的制造和校准。我们还报道了使用该传感器的两个实验。第一个是基于实验室的实验,通过在土壤柱中安装几个传感器并实时跟踪氯离子脉冲的垂直迁移,展示了如何使用传感器来验证建模结果。第二项试验是在fluvarium(流模拟器)中安装多个传感器,表明分布式传感器能够监测模拟自然环境中水平氯化物通量的实时变化。我们报告了地表流动和河流沉积物中几毫米深度传感器的结果,并讨论了两者之间的差异和趋势。作为这种传感器如何有用的一个例子,我们注意到,对于所测试的流态和沉积物类型,表面氯化物渗透到河床的速度出乎意料地慢,并提出了有关这种系统中污染物动力学的问题。我们的结论是,这种传感器与分布式网络相结合,为水文监测提供了一种新的范例,并将实现新的应用,例如使用饮用水和微咸水的混合物进行灌溉,从而显著节约成本和资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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