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PROPOSING A LOW-TECH, AFFORDABLE, ACCURATE STREAM STAGE MONITORING SYSTEM

机译:提出技术含量低,价格适中的精确流水阶段监测系统

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Streamflow data are essential for water resources planning and decision making and are routinely analyzed to determine the impacts of climate change on hydrology. Unfortunately, current stream gauges, largely the responsibility of the US. Geological Survey (USGS) in the U.S. and similar agencies worldwide, are expensive to install and operate and are being steadily decommissioned. Part of the solution to this problem is a low-cost stream gauging system that is simple enough to use by people with little Or no formal training in environmental monitoring. In this article, a low-cost, digital camera-based stream stage monitoring system is proposed, described, and tested As a proof-of-concept, a time series was generated by taking digital pictures of a staff gauge at 3 h intervals over several weeks at a current USGS gauging site. The image-based stage heights closely matched the USGS gauge values, although significant stage height errors were evident in a small percentage (<3%) of the images. We identified the problem as being caused by shadows and irregular lighting and proposed a protocol for eliminating these errant images. When the obviously problematic images were removed the relative differences between the image-based stages and USGS stages were approximately 5%. The next step is to develop an on-line system for post-processing the images so that watershed networks, citizen science organizations, K-12 educational institutions, and others can engage in stream monitoring and make their data freely available. We also propose some possible next steps for determining stream cross-section and flow velocity using this low-cost camera- or image-based Monitoring system.
机译:径流数据对于水资源规划和决策至关重要,并定期进行分析以确定气候变化对水文学的影响。不幸的是,当前的水位计在很大程度上是美国的责任。美国和全球范围内的类似机构的地质调查局(USGS)安装和运营成本高昂,并且正在逐步退役。解决此问题的方法之一是使用一种低成本的流量测量系统,该系统足够简单,几乎不需要或没有经过正规的环境监测培训即可供人们使用。在本文中,提出,描述和测试了一种低成本的,基于数字照相机的流阶段监视系统。作为概念证明,通过在3小时的间隔内拍摄人员规的数字图片来生成时间序列。在当前的USGS量测站点上需要几个星期。基于图像的载物台高度与USGS标尺值非常匹配,尽管在很小比例(<3%)的图像中明显存在明显的载物台高度误差。我们确定问题是由阴影和不规则照明引起的,并提出了消除这些错误图像的协议。当去除明显有问题的图像时,基于图像的阶段和USGS阶段之间的相对差异约为5%。下一步是开发用于对图像进行后处理的在线系统,以便分水岭网络,公民科学组织,K-12教育机构和其他机构可以参与流监视并免费提供其数据。我们还提出了一些可能的后续步骤,以使用这种低成本的基于相机或图像的监控系统来确定水流横截面和流速。

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