Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR020848 |
Streamflow Observations From Cameras: Large-Scale Particle Image Velocimetry or Particle Tracking Velocimetry? | |
Tauro, F.1; Piscopia, R.1; Grimaldi, S.1,2 | |
2017-12-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:12 |
文章类型 | Article |
语种 | 英语 |
国家 | Italy; USA |
英文摘要 | Image-based methodologies, such as large scale particle image velocimetry (LSPIV) and particle tracking velocimetry (PTV), have increased our ability to noninvasively conduct streamflow measurements by affording spatially distributed observations at high temporal resolution. However, progress in optical methodologies has not been paralleled by the implementation of image-based approaches in environmental monitoring practice. We attribute this fact to the sensitivity of LSPIV, by far the most frequently adopted algorithm, to visibility conditions and to the occurrence of visible surface features. In this work, we test both LSPIV and PTV on a data set of 12 videos captured in a natural stream wherein artificial floaters are homogeneously and continuously deployed. Further, we apply both algorithms to a video of a high flow event on the Tiber River, Rome, Italy. In our application, we propose a modified PTV approach that only takes into account realistic trajectories. Based on our findings, LSPIV largely underestimates surface velocities with respect to PTV in both favorable (12 videos in a natural stream) and adverse (high flow event in the Tiber River) conditions. On the other hand, PTV is in closer agreement than LSPIV with benchmark velocities in both experimental settings. In addition, the accuracy of PTV estimations can be directly related to the transit of physical objects in the field of view, thus providing tangible data for uncertainty evaluation. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000423299000022 |
WOS关键词 | FLOOD DISCHARGE MEASUREMENTS ; OF-CONCEPT EXPERIMENT ; SHALLOW-WATER FLOWS ; GAUGE-CAM STATION ; SURFACE-VELOCITY ; SATELLITE ALTIMETRY ; MODEL CALIBRATION ; TIBER RIVER ; PIV ; UNCERTAINTY |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/21946 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Tuscia, Dept Innovat Biol Agrofood & Forest Syst, Viterbo, Italy; 2.NYU, Tandon Sch Engn, Dept Mech & Aerosp Engn, Brooklyn, NY 11201 USA |
推荐引用方式 GB/T 7714 | Tauro, F.,Piscopia, R.,Grimaldi, S.. Streamflow Observations From Cameras: Large-Scale Particle Image Velocimetry or Particle Tracking Velocimetry?[J]. WATER RESOURCES RESEARCH,2017,53(12). |
APA | Tauro, F.,Piscopia, R.,&Grimaldi, S..(2017).Streamflow Observations From Cameras: Large-Scale Particle Image Velocimetry or Particle Tracking Velocimetry?.WATER RESOURCES RESEARCH,53(12). |
MLA | Tauro, F.,et al."Streamflow Observations From Cameras: Large-Scale Particle Image Velocimetry or Particle Tracking Velocimetry?".WATER RESOURCES RESEARCH 53.12(2017). |
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