Development of an inexpensive automated streamflow monitoring system,Hydrological Processes

当前位置： X-MOL 学术 › Hydrol. Process. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Development of an inexpensive automated streamflow monitoring system
Hydrological Processes ( IF 2.8 ) Pub Date : 2020-05-06 , DOI: 10.1002/hyp.13783
Matthew C. L. LeGrand ₁ , James J. Luce ₂ , Robert A. Metcalfe ₂ , James M. Buttle ₃

Affiliation

Estimating streamflow is time and labour intensive due to the necessity of developing a rating curve. The development of a rating curve involves acquiring in‐field measurements of streamflow across a wide range of flow levels, which can be costly and impractical in remote regions with limited seasonal access. Here we showcase an automated system which estimates streamflow multiple times each day, greatly facilitating the development of rating curves for remote or seasonally inaccessible sites. The system uses an emerging technique referred to as particle image velocimetry (PIV) to track the movement of objects and flow structure features on the mobile water surface to generate velocity vector grids. Velocity grids were used to calculate streamflow and facilitate the development of a rating curve. This work contributes to our field‐based knowledge for using automated PIV systems to estimate streamflow in small streams (<5 m wide) using automatically distributed particles.

中文翻译：

开发廉价的自动化流量监测系统

由于必须制定额定曲线，因此估算流量是费时和费力的。评级曲线的开发涉及在各种流量水平范围内获取流量的现场测量，这在季节性访问受限的偏远地区可能是昂贵且不切实际的。在这里，我们展示了一个自动化系统，该系统每天多次估算流量，极大地促进了偏远或季节性无法访问站点的评级曲线的制定。该系统使用一种称为粒子图像测速（PIV）的新兴技术来跟踪物体的运动和流动水面上的流动结构特征，以生成速度矢量网格。速度网格用于计算流量，并有助于建立额定曲线。

更新日期：2020-05-06

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11