Accumulation and evolution of ice jams influenced by different ice discharge: An experimental analysis

Chen, Pang-pang; Cheng, Tiejie; Wang, Jun; Cao, Guangxue

doi:10.3389/feart.2022.1054040

Cited by 3 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the initial freezing period, large pieces of drift ice rub against and push the riverbanks as they run around bends, potentially taking away stones that protect the bank, which causes bank erosion and instability [13][14][15][16]. Once the drift ice concentration is high enough, a juxtaposed ice cover or ice jam can begin to form at a point of river constriction where drift ice bridge and become immobile [17,18]. When the ice cover or ice jam forms, changes in river hydraulics are characterized by a doubling of wetted perimeter [15] of flow in a channel, a change in the vertical velocity distribution from a single logarithmic to a double logarithmic [19], and an increase in boundary resistance exerted on the flow.…”

Section: Introductionmentioning

confidence: 99%

A Survey Method for Drift Ice Characteristics of the Yellow River Based on Shore-Based Oblique Images

Zhang

et al. 2023

Water

View full text Add to dashboard Cite

Acquisition of continuous drift ice characteristic parameters such as ice size, shape, concentration, and drift velocity are of great importance for understanding river freezing and thawing processes. This study acquired hourly oblique images captured by a shore-based camera in the winter of 2021–2022 on the Yellow River, China. The pixel point scale method for correcting oblique images is provided. The 61 lines were measured at the calibration site and the absolute error between the measured value and the calculated value was in the range of 0.009–0.850 m, with a mean error of 0.236 m. After the correction of oblique images, the true equivalent diameter of drift ice during the freezing period ranged from 0.52–13.10 m with a mean size of 3.36 m, which was larger than that of 2.30 m during the thawing period which ranged from 0.20–12.54 m. It was found that the size of drift ice increased with time during the freezing period and decreased with time during the thawing period. The fractal dimension and roundness were used to represent drift ice shape. The fractal dimension ranged from 1.0–1.3 and the roundness ranged from 0.1–1.0. A Gaussian distribution was used to estimate drift ice size and shape distributions. There is a nonlinear relationship between ice concentration and drift velocity, which can be well expressed by the logistic function. In the future, drift ice parameters for more years and hydrometeorological data for the same time need to be accumulated, which helps to analyze the freezing and thawing patterns of river ice.

show abstract

Section: Introductionmentioning

confidence: 99%

A Survey Method for Drift Ice Characteristics of the Yellow River Based on Shore-Based Oblique Images

Zhang

et al. 2023

Water

View full text Add to dashboard Cite

show abstract

“…The formation and development of river ice is a complex process that is affected by meteorological, hydrological, and topographical conditions [1,2]. Due to the particularity of the bend terrain, ice floes and frazil ice are easy to accumulate and form juxtaposed ice covers, which greatly reduce ice transport capacity [3] and, in severe cases, raises water levels, causing ice disasters. The accumulation area of the bend is hummocky ice, and the other area is flat ice.…”

Section: Introductionmentioning

confidence: 99%

Morphology Dynamics of Ice Cover in a River Bend Revealed by the UAV-GPR and Sentinel-2

Huang

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

After the formation of the bend ice cover, the ice thickness of the bend is not uniformly distributed, and an open-water area is usually formed downstream of the bend. The spatial and temporal variation of the ice thickness in seven cross sections was determined via Unmanned Aerial Vehicle Ground Penetrating Radar (UAV-GPR) technology and traditional borehole measurements. The plane morphology change of the open water was observed by Sentinel-2. The results show that the average dielectric permittivity of GPR was 3.231, 3.249, and 3.317 on three surveys (5 January 2022, 16 February 2022, and 25 February 2022) of the Yellow River ice growing period, respectively. The average ice thickness of the three surveys was 0.402 m, 0.509 m, and 0.633 m, respectively. The ice thickness of the concave bank was larger than that of the convex bank. The plane morphology of the open water first shrinks rapidly longitudinally and then shrinks slowly transversely. The vertical boundary of the open water was composed of two arcs, in which the slope of Arc I (close to the water surface) was steeper than that of Arc II, and the hazardous distance of the open-water boundary was 10.3 m. The increased flow mostly affected the slope change of Arc I. Finally, we discuss the variation of hummocky ice and flat ice in GPR images and the physical factors affecting GPR detection accuracy, as well as the ice-thickness variation of concave and convex banks in relation to channel curvature.

show abstract

Advances in Frazil Ice Evolution Mechanisms and Numerical Modelling in Rivers and Channels in Cold Regions

Chen

Lian

Zhao

et al. 2023

Water

View full text Add to dashboard Cite

Frazil ice comprises millimeter-sized ice crystal particles or flocculations in water, and its generation and evolution primarily occur during the initial stage of the river ice process. Meanwhile, ice damage caused by frazil ice is common, so it is crucial to determine its generation and evolution mechanisms to develop a full understanding of the river ice processes, the prediction of ice development, and ice damage prevention. The recent developments in frazil ice research and modeling are summarized in this article. From the perspectives of field measurements and laboratory experiments, the techniques and methods for observing frazil ice are reviewed, including the flow generation, temperature control, and observation techniques necessary for laboratory observations of frazil ice, as well as the challenging observation techniques used for field measurements. Frazil ice’s evolution mechanisms (nucleation, thermal growth, secondary nucleation, collisional fragmentation, and flocculation) are affected by water temperature processes. Work on the movement and distribution of frazil ice is also presented. A review of the current numerical models used to assess frazil ice evolution is conducted. Moreover, the open issues and potential future research topics are suggested.

show abstract

Accumulation and evolution of ice jams influenced by different ice discharge: An experimental analysis

Cited by 3 publications

References 29 publications

A Survey Method for Drift Ice Characteristics of the Yellow River Based on Shore-Based Oblique Images

A Survey Method for Drift Ice Characteristics of the Yellow River Based on Shore-Based Oblique Images

Morphology Dynamics of Ice Cover in a River Bend Revealed by the UAV-GPR and Sentinel-2

Advances in Frazil Ice Evolution Mechanisms and Numerical Modelling in Rivers and Channels in Cold Regions

Contact Info

Product

Resources

About