Changes in stream power and morphological adjustments at the event-scale and high spatial resolution along an ephemeral gravel-bed channel

Conesa-García, Carmelo; Puig-Mengual, Carlos; Riquelme, Adrián; Tomás, Roberto; Martínez‐Capel, Francisco; García-Lorenzo, Rafael; Pastor, José Luis; Pérez‐Cutillas, Pedro; Martínez-Salvador, Alberto; Cano-Gonzalez, Miguel

doi:10.1016/j.geomorph.2021.108053

Cited by 9 publications

(17 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A third option is interpretation from aerial photography like that applied by both Mazgareanu et al (2020) and Lea and Legleiter (2016). Finally, it is possible to derive remotely sensed elevation changes, using either ground‐based, airborne or spaceborne techniques like those used by Sholtes et al (2018), Conesa‐García et al (2022) and others described by Piégay et al (2020).…”

Section: Discussionmentioning

confidence: 99%

Stream power indices correspond poorly with observations of alluvial river channel adjustment

Parker

Davey

2023

Earth Surf Processes Landf

View full text Add to dashboard Cite

A variety of stream power‐based approaches for predicting catchment‐scale alluvial channel adjustment have been developed. There is an international interest in applying these to inform river catchment management. However, there is some uncertainty regarding their ability to make consistently accurate predictions. This study evaluates the performance of a range of stream power indices for predicting observed channel adjustment. Remotely sensed data were used to generate 33 different stream power indices every 50 m across the networks of five test catchments. The performances of the indices were evaluated by comparing them against observations of erosion and deposition‐dominated channels extracted from the UK's River Habitat Survey (RHS) database. A selection of metrics for evaluating the performance of the indices were calculated. The key finding from this study is that the stream power indices were poorly associated with the observations of alluvial channel adjustment. It is not clear whether this poor association is due to limitations with stream power indices or the suitability of the RHS observations. However, this is not the first study to find a weak association between stream power and observed adjustment. Therefore, caution is recommended to anyone hoping to take advantage of the practicability of stream power indices until further testing is applied using alternative observation datasets. An additional finding from this study is the inconsistency of outcomes between different measures of model performance. It is recommended that future studies also employ multiple model performance measures rather than relying on accuracy alone.

show abstract

Section: Discussionmentioning

confidence: 99%

Stream power indices correspond poorly with observations of alluvial river channel adjustment

Parker

Davey

2023

Earth Surf Processes Landf

View full text Add to dashboard Cite

show abstract

“…Photogrammetry works on the principle of using 2D image data, most often in the form of photographs. Therefore, classic compact cameras, mobile cameras, 3D or 360 cameras, laser 3D sceners, drones, or tablets with LiDar technologies, which are now available to the general public, are used for this method [6], [9], [10], [20]. The quality of the scanned image depends on the resolution, color gamut, lighting conditions, and attributes are affect the demand for additional outputs [12], [20], [21].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, classic compact cameras, mobile cameras, 3D or 360 cameras, laser 3D sceners, drones, or tablets with LiDar technologies, which are now available to the general public, are used for this method [6], [9], [10], [20]. The quality of the scanned image depends on the resolution, color gamut, lighting conditions, and attributes are affect the demand for additional outputs [12], [20], [21]. Post-processing image processing, graphics software, and methods designed to improve the quality and analysis of image data [22], [23].…”

Section: Introductionmentioning

confidence: 99%

Use of scanning devices for object 3D reconstruction by photogrammetry and visualization in virtual reality

et al. 2023

View full text Add to dashboard Cite

This article aims to compare two different scanning devices (360 camera and digital single lens reflex (DSLR) camera) and their properties in the three-dimensional (3D) reconstruction of the object by the photogrammetry method. The article first describes the various stages of the process of 3D modeling and reconstruction of the object. A point cloud generated to the 3D model of the object, including textures, is created in the following steps. The scanning devices are compared under the same conditions and time from capturing the image of a real object to its 3D reconstruction. The attributes of the scanned image of the recon-structed 3D model, which is a mandarin tree in a citrus greenhouse in a daylight environment, are also compared. Both created models are also compared visually. That visual comparison reveals the possibilities in the application of both scanning devices can be found in the process of 3D reconstruction of the object by photogrammetry. The results of this research can be applied in the field of 3D modeling of a real object using 3D models in virtual reality, 3D printing, 3D visualization, image analysis, and 3D online presentation.

show abstract

“…The ephemeral streams draining steep and metamorphic catchments often experience sporadic and torrential runoff with high sediment loads, which causes important morphological channel changes at the event scale. The geomorphic response of these dry streams varies according to the magnitude and frequency of the flow events, being especially sensitive to short-term climatic changes and human impacts [1][2][3][4][5]. The largest discharges are capable of mobilizing and depositing a greater bedload, while the minor events tend to produce local bedform disturbances, and the moderate ones promote scouring and down-cutting phenomena when the deposition does not compensate for the transitory bed erosion [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…There is extensive literature focusing on the use of each of these methods to detect and quantify geomorphic change at a variety of scales and settings [13][14][15][16][17][18][19], including morphological adjustments in dry channels [4,[20][21][22][23][24]. The multi-temporal application of high-resolution digital terrain models (HRDTMs) (pixel size < 5 cm), generated using SfM-MVS from UAV (unmanned aerial vehicles) and 3D point clouds (3DPC) (<3 cm per pixel) from TLS, offers higher performance to detect spatial differences in bed elevation and surface bed texture caused by specific events [4,5,25]. In addition, this technology has been used in combination with hydrodynamic models to address spatially explicit analyses of stream power and transport efficiency in relation to changes in bed erosion and deposition [4,5,26].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Retrospective Morphological Channel Adjustments Using High-Resolution Differential Digital Elevation Models versus Predicted Sediment Delivery and Stream Power Variations

Conesa-García

Martínez-Salvador

Puig-Mengual

et al. 2023

Water

Self Cite

View full text Add to dashboard Cite

This work proposes a methodological approach applied to ephemeral gravel-bed streams to verify the change in the magnitude and frequency of hydrological events affecting the morphological dynamics and sediment budget in this type of channel. For the case study, the Azohía Rambla, located in southeastern Spain, was chosen, emphasizing the research on two reference riverbed sections (RCRs): an upper one, with a predominance of erosion, and a middle one, where processes of incision, transport, and deposition were involved. First, this approach focuses on relationships between peak discharges and sediment budgets during the period 2018–2022. For this purpose, water level measurements from pressure sensors, a One-Dimensional Hydrodynamic model, and findings from comparative analyses of high-resolution differential digital elevation models (HRDEM of Difference-HRDoD) based on SfM-MVS and LiDAR datasets were used. In a second phase, the GeoWEPP model was applied to the period 1996–2022 in order to simulate runoff and sediment yield at the event scale for the watersheds draining into both RCRs. During the calibration phase, a sensitivity analysis was carried out to detect the most influential parameters in the model and confirm its capacity to simulate peak flow and sediment delivery in the area described above. Values of NS (Nash–Sutcliffe efficiency) and PBIAS (percent bias) equal to 0.86 and 7.81%, respectively, were found in the calibration period, while these indices were 0.81 and −4.1% in the validation period. Finally, different event class patterns (ECPs) were established for the monitoring period (2018–2022), according to flow stage and morphological channel adjustments (overtopping, bankfull and sub-bankfull, and half-sub-bankfull), and then retrospectively extrapolated to stages of the prior simulated period (1996–2018) from their typical sequences (PECPs). The results revealed a significant increase in the number of events and PECPs leading to lower bed incision rates and higher vertical accretion, which denotes a progressive increase in bed armoring and bank erosion processes.

show abstract

Changes in stream power and morphological adjustments at the event-scale and high spatial resolution along an ephemeral gravel-bed channel

Cited by 9 publications

References 58 publications

Stream power indices correspond poorly with observations of alluvial river channel adjustment

Stream power indices correspond poorly with observations of alluvial river channel adjustment

Use of scanning devices for object 3D reconstruction by photogrammetry and visualization in virtual reality

Simulation of Retrospective Morphological Channel Adjustments Using High-Resolution Differential Digital Elevation Models versus Predicted Sediment Delivery and Stream Power Variations

Contact Info

Product

Resources

About