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Fractal Characteristics of the Particle Size Distribution of Soil along an Urban–Suburban–Rural–Desert Gradient

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  • Ning Wang

    (College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830054, China
    Xinjiang Laboratory of Arid Zone Lake Environment and Resources, Xinjiang Normal University, Urumqi 830054, China)

  • Mamattursun Eziz

    (College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830054, China
    Xinjiang Laboratory of Arid Zone Lake Environment and Resources, Xinjiang Normal University, Urumqi 830054, China)

  • Donglei Mao

    (College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830054, China
    Xinjiang Laboratory of Arid Zone Lake Environment and Resources, Xinjiang Normal University, Urumqi 830054, China)

  • Nazupar Sidekjan

    (College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830054, China)

Abstract

In order to investigate the difference in particle size distribution of soil along an urban–suburban–rural–desert (USRD) gradient in an arid zone, surface soil (0–20 cm) samples were gathered at the urban, suburban, rural, and desert gradients in Urumqi, a northwestern Chinese city. Laser diffraction technology was adopted for determining the particle size distribution of the soil. Comparisons were made regarding the particle size distribution traits and soil properties in different gradient zones based on parameters such as the mean particle size ( M G ), fractal dimension ( D v ), sorting coefficient ( ơ G ), kurtosis ( K G ), and skewness ( SK G ). Results indicate that (1) particle size distribution in the urban, suburban, and rural soils was mainly sand particle sizes, whereas the desert soil was mainly composed of silt particle sizes. The average D v value ranking for soil in each gradient is desert > suburban > urban > rural. (2) The width and peak of the soil particle size frequency curve ranged within 0–500 μm, and the width and peak of the soil particle size frequency curve of each gradient were different. (3) The M G of rural soil was the highest, whereas the M G of desert soil was the lowest. The ơ G values of the surface soil of each gradient were all greater than 4.0, and the sorting performance was extremely poor. The SK G of the desert and urban soil particle size showed extremely positive and negative skewness, respectively, while the SK G of the rural and suburban soil particle size showed extremely negative skewness. The K G values of the particle sizes of the rural and suburban soils exhibited narrow and medium peaks, whereas those of the urban and desert soils exhibited very broad and flat peaks. (4) The D v of the soil in each gradient was strongly influenced by the soil particle size distribution, with the clay content of the soil playing a dominant role. Finally, the fractal dimension was identified as an indicator of the characteristics of the fine particle matter content in the soil structure. The novel contribution of this work is to clarify the fractal differences in the particle size distribution of soil along an urbanization gradient. The present research findings can offer fundamental information relating to the characteristics of soil particle size distribution along an urbanization gradient zone.

Suggested Citation

  • Ning Wang & Mamattursun Eziz & Donglei Mao & Nazupar Sidekjan, 2023. "Fractal Characteristics of the Particle Size Distribution of Soil along an Urban–Suburban–Rural–Desert Gradient," Land, MDPI, vol. 12(12), pages 1-14, November.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:12:p:2120-:d:1290344
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    References listed on IDEAS

    as
    1. Paweł Sowiński & Sławomir Smólczyński & Mirosław Orzechowski & Barbara Kalisz & Arkadiusz Bieniek, 2023. "Effect of Soil Agricultural Use on Particle-Size Distribution in Young Glacial Landscape Slopes," Agriculture, MDPI, vol. 13(3), pages 1-14, February.
    2. Xiang Niu & Peng Gao & Bing Wang & Yu Liu, 2015. "Fractal Characteristics of Soil Retention Curve and Particle Size Distribution with Different Vegetation Types in Mountain Areas of Northern China," IJERPH, MDPI, vol. 12(12), pages 1-11, December.
    3. Roomesh Kumar Jena & Pravash Chandra Moharana & Subramanian Dharumarajan & Gulshan Kumar Sharma & Prasenjit Ray & Partha Deb Roy & Dibakar Ghosh & Bachaspati Das & Amnah Mohammed Alsuhaibani & Ahmed G, 2023. "Spatial Prediction of Soil Particle-Size Fractions Using Digital Soil Mapping in the North Eastern Region of India," Land, MDPI, vol. 12(7), pages 1-20, June.
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