Measurement of stream cross section using ground penetration radar with Hilbert–Huang transform

Chen, Yen‐Chang; Kao, Sung‐Shuo; Wu, Jida

doi:10.1002/hyp.9755

Cited by 10 publications

(7 citation statements)

References 10 publications

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“…Furthermore, no clear algorithm to discern the different interfaces (air‐water and water‐riverbed) was provided either in Spicer et al () or Costa et al (). Recently, Chen, Kao, and Wu () applied Hilbert–Huang transform to post‐process the GPR signals. Their results showed that the non‐contact method to measure the channel cross‐sectional geometry was precise and quick.…”

Section: Introductionmentioning

confidence: 99%

“…Their results showed that the non‐contact method to measure the channel cross‐sectional geometry was precise and quick. However, the study of Chen et al () only focused on the measurements of channel cross section; the application for the estimation of stream discharge was not discussed. Overall, GPR is capable of mapping stream cross‐sectional profile under high‐flow conditions, especially when the conventional methods of measuring are either unsafe or inadequate.…”

Section: Introductionmentioning

confidence: 99%

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Estimating discharge in gravel‐bed river using non‐contact ground‐penetrating and surface‐velocity radars

Hong

Guo

Wang

et al. 2017

River Research & Apps

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Discharge measurement is a critical task for gravel-bed channels. Under high-flow conditions, the elevation of the riverbed changes significantly by intensive torrential flow. The stage-discharge relations commonly used for stream discharge estimation may no longer be adequate. The contact-type velocity measuring is also subject to measurement errors and/or instrument failures by the high-flow velocities, driftwood, stumps, and debris. This study developed a new real-time method to estimate river discharge in gravel-bed channels. A systematic measuring technology combining ground-penetrating radar and surface-velocity radar was employed. The rating curves representing the relations of water surface velocity to the channel cross-sectional mean velocity and flow area were established. Stream discharge was then deduced from the resulting mean velocity and flow area. The proposed method was examined in a steep gravel-bed reach of the Cho-Shui River in central Taiwan. The estimated stream discharge during three flood events were compared to the prediction by using the stage-discharge relation and the index-velocity method.The proposed method of this study is capable of computing reasonable values of discharge for an entire flood hydrograph, whereas the other two methods tend to produce large extrapolation errors. Moreover, when the computed discharge is used in 2D flood flow simulation, the proposed method demonstrates better performance than the commonly used stage-discharge and index-velocity methods.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimating discharge in gravel‐bed river using non‐contact ground‐penetrating and surface‐velocity radars

Hong

Guo

Wang

et al. 2017

River Research & Apps

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“…Note that the two parabolic curves in the image indicate the receiving electromagnetic signals are affected by the pier foundations of the Mingchu Bridge. 3.3 Post-processing of the GPR data (Chen, 2014) After identifying the air-water and water-riverbed interfaces, the GPR image is converted into the river cross-sectional profile; water depth is obtained after multiplying the signal traveling time with the speed of the electro-magnetic wave in water (≈ 0.033 m/ns). Fig.…”

Section: Measurement Setupmentioning

confidence: 99%

“…Furthermore, no algorithm was provided in Spicer et al (1997) or Costa et al (2006) to distinguish between the air-water and water-riverbed interfaces. In order to reduce the subjective judgement on the GPR images, Chen et al (2014) employed Hilbert-Huang transform (HHT) to post-process the GPR signals. Overall, GPR is a technology for mapping stream cross-sectional profile at high flow, particularly under conditions when conventional methods are either unsafe or inadequate.…”

mentioning

confidence: 99%

A simple method for estimating flood discharge in gravel-bed channels with varied riverbed level

Hong¹,

Guo²,

Wang³

et al. 2016

Scour and Erosion

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The information of flow discharge in channels is crucial for river planning and regulation, weir and reservoir operation, river crossing and encroachment remediation, and river restoration. It also affects the degree of erosion on the channel bed and river bank, and scour around structures in the riverine environment. During a flood event, large scour on the channel bed and rapid sediment transport along the channel reach occur at the flood rising stages. Significant changes of riverbed level appear consequently. However, the conventional method of on-site measurements is time-consuming and dangerous for the investigators. A simple method utilizing non-contact water-surface velocity radar (SVR) and ground-penetrating radar (GPR) was developed. Two rating curves, the relationships for the stream mean velocity and river cross section to the stream surface velocity, were investigated. The resultant stream discharge shows great improvement of the estimation of entire flood hydrograph, indicating that the proposed method has the capability to reasonably estimate the flood discharges of gravel channels with mobile bed.

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“…Based on former researches (Huang and Wu 2008;Rao and Hsu 2008;Chen et al 2014), we make use of HHT to decompose the water stage in the estuary. The HHT is used in geophysical researches and also in mechanical inspection (Yan and Gao 2006), financial analysis (Huang et al 2003), turbulent flow and structural inspection measurement (Huang and Attoh-Okine 2005;Huang and Shen 2014).…”

Section: Introductionmentioning

confidence: 99%

Water stage component analysis in an estuary using the Hilbert Huang transform

Chen¹,

Chen²,

Kao³

et al. 2018

Terr. Atmos. Ocean. Sci.

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This study applies a novel concept to decompose water stages to understand the factors that affect an estuary. The estuary water stages vary due to different complex, often nonlinear and non-stationary factors. Therefore, it is very difficult for researchers to break down water stages into contributing factors with single integrated methods. The Hilbert Huang transform (HHT) is an easy to use, efficient and powerful method of processing non-stationary, non-linear signals to optimize a complicated data process. The HHT is composed of empirical mode decomposition (EMD) and Hilbert transform. EMD decomposes the water stages into several intrinsic mode functions (IMFs). Through the Hilbert transform, IMFs could obtain amplitude and instantaneous frequency with time. Those IMFs with amplitude and frequency can be used to represent those factors that affect the water stages in an estuary. However, the physical meanings represented by IMFs should be inferred in conjunction with the other hydrological data. This study uses Tanshui River estuary water stages to show HHT applied to determining the factors that affect the water stages. HHT application provides a methodology for others to follow to identify the water stage components in an estuary.

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Measurement of stream cross section using ground penetration radar with Hilbert–Huang transform

Cited by 10 publications

References 10 publications

Estimating discharge in gravel‐bed river using non‐contact ground‐penetrating and surface‐velocity radars

Estimating discharge in gravel‐bed river using non‐contact ground‐penetrating and surface‐velocity radars

A simple method for estimating flood discharge in gravel-bed channels with varied riverbed level

Water stage component analysis in an estuary using the Hilbert Huang transform

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