Droujko Jessica, Kunz Felix, Molnar Peter
Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland.
Institute of Information Technology and Electrical Engineering, ETH Zurich, 8092 Zurich, Switzerland.
HardwareX. 2023 Jan 18;13:e00395. doi: 10.1016/j.ohx.2023.e00395. eCollection 2023 Mar.
Fine sediment production in catchments and transport through rivers to floodplains and coastal areas is extremely important for riverine, coastal and marine ecosystems, nutrient transport, global biogeochemical cycles, water quality and pollution. Due to the high cost of suspended sediment monitoring technology, it is extremely difficult to obtain a complete understanding of the physical connections between climate, hydrology, fluvial processes, and sediment fluxes, which requires measurements at many locations. For this reason, we have built an open-source turbidity sensor that brings accessibility to global river research. Compared to commercial turbidity sensors ( 6000€), our low-cost version ( 200€) allows for multiple deployment and therefore a high spatial coverage of sediment fluxes. It is an optical scatter sensor with an 850 nm LED and two IR detectors, and features a temperature and pressure sensor. Our sensor is 3D-printed on a hobby printer and is programmed with Arduino IDE, making it accessible to those without high-tech workshop access and limited programming skills. It features a printed circuit board that stacks on top of an ultra low-power Arduino MKR WAN 1310, for durability and easy assembly. The sensor was tested during a flood in September 2022 on the Ötztal Ache in Tirol, Austria.
流域内细颗粒沉积物的产生以及通过河流输送到洪泛区和沿海地区,对于河流、沿海和海洋生态系统、养分输送、全球生物地球化学循环、水质和污染来说极其重要。由于悬浮泥沙监测技术成本高昂,要全面了解气候、水文、河流过程和泥沙通量之间的物理联系极为困难,而这需要在多个地点进行测量。出于这个原因,我们制造了一种开源浊度传感器,让全球河流研究变得更加可行。与商业浊度传感器(6000欧元)相比,我们的低成本版本(200欧元)可以进行多次部署,从而实现对泥沙通量的高空间覆盖。它是一种光学散射传感器,配有一个850纳米的发光二极管和两个红外探测器,还配备了一个温度和压力传感器。我们的传感器是用家用打印机3D打印出来的,并使用Arduino IDE进行编程,使得那些无法使用高科技工作室且编程技能有限的人也能使用。它有一个印刷电路板,堆叠在超低功耗的Arduino MKR WAN 1310之上,以确保耐用性和易于组装。该传感器于2022年9月在奥地利蒂罗尔州的奥茨塔尔河的一次洪水中进行了测试。