Scale characters analysis for gully structure in the watersheds of loess landforms based on digital elevation models

Zhu, Hao; Zhao, Yipeng; Liu, Haiying

doi:10.1007/s11707-018-0696-x

Cited by 21 publications

(10 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…in agreement with the power law extensively used to describe hierarchical drainage systems [23,25,26,46,47].…”

Section: The Principles Of Non-extensive Statistical Physics As Applisupporting

confidence: 69%

“…inversion of Mesozoic basins in the northern margin of Apulia as well as the formation of a series of thrust sheets comprising the External Hellenides thrust belt ( [48] and references therein). To search the possible connection of drainages hierarchy with the geotectonic environment as indicated in a number of previous works [21,23,24,46,47] we select to search the drainage distribution in the two drainage subsets defined by the two main tectonic patterns of Greece. Moreover, having in mind that different elevation values may reflect different landscape dynamics probably affecting the drainage basins area distribution, zonal statistical analysis was performed on all the cells of GDEM that belong to each one drainage basin (i.e., zone).…”

Section: Hierarchical Drainage Basins Analysismentioning

confidence: 99%

See 1 more Smart Citation

Evidence of Hierarchy in the Drainage Basins Size Distribution of Greece Derived from ASTER GDEM-v2 Data

Vallianatos

Kouli

2019

Applied Sciences

View full text Add to dashboard Cite

The drainage basins of Greece are analyzed in terms of hierarchy and discussed in view of Tsallis Entropy. This concept has been successfully used in a variety of complex systems, where fractality, memory and long-range interactions are dominant. The analysis indicates that the statistical distribution of drainage basins' area in Greece, presents a hierarchical pattern that can be viewed within the frame of non-extensive statistical physics. Our work was based on the analysis of the ASTER GDEM v2 Digital Elevation Model of Greece, which offers a 30 m resolution, creating an accurate drainage basins' database. Analyzing the drainage size (e.g., drainage basin area)-frequency distribution we discuss the connection of the observed power law exponents with the Tsallis entropic parameters, demonstrating the hierarchy observed in drainage areas for the set created for all over Greece and the subsets of drainages in the internal and external Hellenides that are the main tectonic structures in Greece. Furthermore, we discuss in terms of Tsallis entropy, the hierarchical patterns observed when the drainages are classified according to their relief or the Topographic Position Index (TPI). The deviation of distribution from power law for large drainages area is discussed.Appl. Sci. 2020, 10, 248 2 of 18 activity. As a result the complex interaction between earth's surface and tectonic processes plays a key role in geomorphological evolution [7]. Tectonic activity generates complex relief that controls surface processes such as erosion patterns, drainage network development, sedimentary basin growth, and local climate [8][9][10][11][12]. Moreover, erosion, transport and sedimentation induce large mass transfer that changes the dynamical equilibrium of orogenic wedges and trigger mechanical actions [8,13]. The continuous evolution of the aforementioned processes, in a dynamical non-linear feedback indicates a system in a dynamical non-equilibrium stage where long-range interactions and memory effects are dominant.In this context, geomorphologists have studied the evolution of drainages in time and found it to be driven by local conditions due to erosion, natural damming, tectonic motion, as well as volcanic activity [14][15][16]. A drainage basin is an area of land that drains all the streams and rainfall to a common outlet such as the outflow of a reservoir, mouth of a bay, or any point along a stream channel. Drainage basins as conceptual or physical entities are used in water management [17,18], landsliding processes control [19] and flood control [20,21].According to Strahler and Strahler [22], the development of a drainage system (i.e., a stream network and its drainage basin) can be described as follows: Initially, the stream is established on a land surface dominated by landforms of tectonic activity. In a next stage, the channels are deepening due to gradation resulting in steep gorges while the stream tributaries extend into the land carrying out a drainage basin and transforming the landscape into a fluvial landform...

show abstract

“…in agreement with the power law extensively used to describe hierarchical drainage systems [23,25,26,46,47].…”

Section: The Principles Of Non-extensive Statistical Physics As Applisupporting

confidence: 69%

Section: Hierarchical Drainage Basins Analysismentioning

confidence: 99%

Evidence of Hierarchy in the Drainage Basins Size Distribution of Greece Derived from ASTER GDEM-v2 Data

Vallianatos

Kouli

2019

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…In order to further study the influence of vegetation lodging on the flow resistance, it is necessary to perform empirical tests. The current study on overland run‐off employs basic theory, formulas and conclusions that have been derived in recent decades concerning flow in an open channel (Ali et al , 2013; Zhu et al , 2018). With present‐day technology, the study of flow in open channels is mainly done through indoor simulation tests.…”

Section: Experimental Systemmentioning

confidence: 99%

Effect of flexible vegetation lodging on overland run‐off resistance

Zhang

Liu

Wang

et al. 2019

Water & Environment J

View full text Add to dashboard Cite

Vegetation is an important factor in overland runoff. Due to its flexibility, the vegetation will often become lodged, which will change the characteristics of the flow. However, current studies of flow resistance from flexible vegetation are primarily limited to qualitative analyses. To study the quantitative relationship between the resistance coefficient λ and the vegetation lodging angle θ, an indoor simulation experiment was carried out. The results showed that λ gradually decreased with increasing θ under the same water depth. When the vegetation was unsubmerged, λ u increased as the depth of water increased under the same value of θ, while with completely submerged vegetation, λ s decreased with increasing water depth. In addition, quantitative formulas for the relationship between the lodging angle and the resistance coefficient were obtained via regression analysis for both submerged and unsubmerged vegetation.

show abstract

“…Overland flow is one of the causes of soil erosion and water loss. It is also the main driving factor for the migration of pollutants, sediment production, and topographic evolution [1][2][3][4]. Overland flow characteristics are mainly affected by surface coverage, slope, and flow discharge [5,6].…”

Section: Introductionmentioning

confidence: 99%

Overland Flow Resistance Law under Sparse Stem Vegetation Coverage

Zhang

Chen

et al. 2021

Water

View full text Add to dashboard Cite

To explore the characteristics of overland flow resistance under the condition of sparse vegetative stem coverage and improve the basic theoretical research of overland flow, the resistance characteristics of overland flow were systematically investigated under four slope gradients (S), seven flow discharges (Q), and six degrees of vegetation coverage (Cr). The results show that the Manning roughness coefficient (n) changes with the ratio of water depth to vegetation height (h/hv) while the Reynolds number (Re), Froude number (Fr), and slope (S) are closely related to vegetation coverage. Meanwhile, h/hv, Re, and Cr have strong positive correlations with n, while Fr and S have strong negative correlations with n. Through data regression analysis, a power function relationship between n and hydraulic parameters was observed and sensitivity analysis was performed. It was concluded that the relationship between n and h/hv, Re, Cr, Q, and S shows the same law; in particular, for sparse stem vegetation coverage, Cr is the dominant factor affecting overland flow resistance under zero slope condition, while Cr is no longer the first dominant factor affecting overland flow resistance under non-zero slope condition. In the relationship between n and Fr, Cr has the least effect on overland flow resistance. This indicates that when Manning roughness coefficient is correlated with different hydraulic parameters, the same vegetation coverage has different effects on overland flow resistance. Therefore, it is necessary to study overland flow resistance under the condition of sparse stalk vegetation coverage.

show abstract

Scale characters analysis for gully structure in the watersheds of loess landforms based on digital elevation models

Cited by 21 publications

References 23 publications

Evidence of Hierarchy in the Drainage Basins Size Distribution of Greece Derived from ASTER GDEM-v2 Data

Evidence of Hierarchy in the Drainage Basins Size Distribution of Greece Derived from ASTER GDEM-v2 Data

Effect of flexible vegetation lodging on overland run‐off resistance

Overland Flow Resistance Law under Sparse Stem Vegetation Coverage

Contact Info

Product

Resources

About