Grain size analysis and characterization of sedimentary environment along the Bizerte Coast, N-E of Tunisia

Wided, Sahli; Saadi, Jalila; Regaya, Kamel

doi:10.1016/j.jafrearsci.2021.104353

Cited by 5 publications

(7 citation statements)

References 20 publications

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“…The general composition of playas includes materials like silt, fine sand, clay, and evaporites. Bivariate scatter plots significantly interpret the interrelationship between mean, standard deviation, and skewness measurements to identify the process of sediment transport and deposition [10,11,63]. The relationship between mean grain size (Mz) and sorting (standard deviation) ascertains the energy change and material origin of sediment environments [64].…”

Section: Bivariate Scatter Plots Of Grain Size Parametersmentioning

confidence: 99%

“…Similar observations were reported by Wu [75] at playa of Ebinur Lake, Arid Central Asia, and Abbasi [76] at Iran's ephemeral Baringak Lake. However, aeolian sediment is generally well-sorted and uni- Many studies have advocated that aeolian deposition possesses a high and sharp modal peak (the value that occurs the most significant number of times in the mode) between 10 and 100 µm, while in fluvial deposition, the modal peaks fall between 100 and 1000 µm [9][10][11]24,27,64,73,74]. In this study, the grain size distribution was fitted with five EMs (Figure 6d) because the mean crosswise coefficient of determination (R 2 ) versus the number of EMs is greater than 0.90 and increasing the number of EMs (6 or more) does not improve the precision of the mean complex correlation coefficient.…”

Section: Modelling and Partitioning Of Aeolian And Fluvial Deposits I...mentioning

confidence: 99%

“…Multiple peaks in sediment grain size distribution (GSD) indicate different transport mechanisms and sedimentation processes [6,7]. Therefore, unmixing the GSD would help to determine the origin, transport, and deposition of sediment in playa lakes [8][9][10][11][12]. Multivariate statistical methods, factor analysis, and discriminant analysis were used to characterize the mechanisms of transport, deposition, and the differential sedimentary environment of the GSD [13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Bivariate plots of the discriminant functions based on grain size parameters are also used to classify sediments of unknown origin and decipher the depositional processes in different environmental settings such as desert, coastal, and lacustrine ecosystem using grain size parameters [12,[15][16][17][18]22,23]. Several researchers proposed unmixing algorithms to differentiate the depositional processes and source environments using grain size data from sediment [9][10][11][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

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Deciphering Depositional Environment of Playa Lakes Using Grain Size Parameters in the Arid and Semi-Arid Region of Rajasthan, India

et al. 2022

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This study encompasses the grain size distribution of the playa lakes (Pachpadra, Pokhran, and Didwana) of the Thar Desert in Rajasthan, India. The grain size of sediment particles is the most fundamental feature, giving essential information regarding their origin, transport history, and depositional conditions. The aeolian and fluvial transport processes were evaluated through environmentally sensitive grain size subpopulations to identify the differential sedimentary sources and dynamics in the playas. End-member modelling further determined the sediment grain size distribution through statistical analysis. The playa sediments mainly consist of very fine sand (46–54%) and very coarse silt (22–37%). The results show that the average fine fraction of Pachpadra, Pokhran, and Didwana playa was 46.29%, 66.11%, and 66.28%, respectively. In contrast, the average coarser fraction deposition in Pachpadra, Pokhran, and Didwana corresponds to 53.71%, 33.89%, and 33.72%, respectively. This suggests that the playas mostly contain aeolian sediment rather than fluvial sediment transported by dust/sand storms. Additionally, the textural pattern and depositional distribution of the sediments determined through the Passega CM diagram and bivariate plots indicate that 82% of the samples were poorly sorted, and 18% were very poorly sorted. Furthermore, an environmentally sensitive grain size component (ESGSC) was also assessed to identify the spatial variability and transport processes of sediment between these playas. Three ESGSCs in Pokhran (250 µ, 31 µ, and 2 µ) and Pachpadra (125 µ, 31 µ, and 4 µ), while two ESGSCs in Didwana playa (125 µ and 16 µ) were identified, indicating sediment deposition with moderate velocity in a low energy environment with a mixed sediment population transported by aeolian and fluvial activities.

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Section: Bivariate Scatter Plots Of Grain Size Parametersmentioning

confidence: 99%

Section: Modelling and Partitioning Of Aeolian And Fluvial Deposits I...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Deciphering Depositional Environment of Playa Lakes Using Grain Size Parameters in the Arid and Semi-Arid Region of Rajasthan, India

et al. 2022

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“…Wang et al 31 analyzed the spatial distribution characteristics of the surface sediment particle size composition and particle size parameters in different sections of the Qiantang Estuary, and the spatial distribution of particle size characteristics in the study area is in good agreement with the zoning of the dynamical sedimentary environment. Wided et al 32 found that the cause of deposition was due to intense wind erosion through soil grain size characterization. The Yellow River Basin and the Haihe River Basin are in important agricultural production areas of China, which are the main economic zones of China 33 – 36 .…”

Section: Introductionmentioning

confidence: 99%

Identification of soil particle size distribution in different sedimentary environments at river basin scale by fractal dimension

Wang

Zhan

et al. 2022

Sci Rep

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The geomorphology of river basin is complex, and its soil sedimentary characteristics are poorly defined. To study the spatial variability of soil structure in different sedimentary environments at the basin scale, 356 sets of soil samples were collected from five typical sedimentary environments in the Yellow River Basin and the Haihe River Basin, including the upper and lower reaches of the rivers, mountain-front plains, central alluvial plains and eastern coastal plains. The particle size distribution (PSD) of the soil samples was obtained using a laser particle size analyzer, and the fractal dimension (D) of the soil structure was derived by applying fractal theory. The PSD, D and the correlation between them were analyzed by the Pearson correlation method for typical sedimentary environments in two basins. The results show that: (1) The main soil types in the typical geological environments in the basin are sand, loamy sand, sandy loam, silty loam, and silty soil. The soil particle size in the upper and lower reaches of the rivers was higher than that in the plain areas. (2) In the plane, The D value descended in different regions in the following order: the mountain-front plain > the eastern coastal plain > the upper Yellow River > the central alluvial plain > the lower Yellow River. In the vertical direction for both rivers, the D value showed a decreasing trend with increasing burial depth. (3) The model results showed a cubic polynomial correlation between D values and PSD, which was closely related to the non-uniformity of particle size during sorting and deposition. The soil PSD and fractal characteristics are effective tools for the quantitative evaluation of soil structure in various sedimentary environments in the basin.

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Correlation Study on Grain Size Characteristics and Geotechnical Properties of Surface Sediments in Qingdao Offshore Area

Li,

Wang,

Guo

et al. 2024

J. Ocean Univ. China

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Grain size analysis and characterization of sedimentary environment along the Bizerte Coast, N-E of Tunisia

Cited by 5 publications

References 20 publications

Deciphering Depositional Environment of Playa Lakes Using Grain Size Parameters in the Arid and Semi-Arid Region of Rajasthan, India

Deciphering Depositional Environment of Playa Lakes Using Grain Size Parameters in the Arid and Semi-Arid Region of Rajasthan, India

Identification of soil particle size distribution in different sedimentary environments at river basin scale by fractal dimension

Correlation Study on Grain Size Characteristics and Geotechnical Properties of Surface Sediments in Qingdao Offshore Area

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