Modelling Spatial Variability of Soil Particle Size Distribution in Mountainous Watershed of Bisha-Khamis, KSA

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Research Developments in Geotechnics, Geo-Informatics and Remote Sensing (CAJG 2019)

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Abstract

Soil is a natural material with varying physical and chemical properties. The particle size distribution (PSD) plays an important role as it affects the interaction of soil with weathering agents as well as hydrological parameters. This study attempts to integrate information from various sources including geographic information system (GIS) and global positioning system (GPS) to accurately quantify and map the geotechnical design parameters in the watershed of Bisha-Khamis, KSA using geospatial and geostatistical analysis tools. The results obtained were validated against the experimental results from soil samples of the concerned study area. The suggested method here will help soil exploration agencies and practicing geotechnical engineers for immediate decision-making process about soil suitability for various application.

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References

  • Hadji, R., Limani, Y., Boumazbeur, A., DemdoumA, Z.K., Zahri, F., Chouabi, A.: Climate change and their influence on shrinkage—swelling clays susceptibility in a semi-arid zone: a case study of Souk Ahras municipality, NE-Algeria. Desalin. Water Treat. 52(10–12), 2057–2072 (2014)

    Article  Google Scholar 

  • Hill, J., Schütt, B.: Map** complex patterns of erosion and stability in dry Mediterranean ecosystems. Remote Sens. Environ. 74, 557–569 (2000). https://doi.org/10.1016/S0034-4257(00)00146-2

    Article  Google Scholar 

  • Karim, Z., Hadji, R., Hamed, Y.: GIS-based approaches for the landslide susceptibility prediction in Setif Region (NE Algeria). Geotech. Geol. Eng. 37(1), 359–374 (2019)

    Article  Google Scholar 

  • Ma, Y., Minasny, B., Welivitiya, W.D.D.P., Malone, B.P., Willgoose, G.R., McBratney, A.B.: The feasibility of predicting the spatial pattern of soil particle-size distribution using a pedogenesis model. Geoderma 341, 195–205 (2019). https://doi.org/10.1016/j.geoderma.2019.01.049

    Article  Google Scholar 

  • Mallick, J., Al-Wadi, H., Rahman, A., Ahmed, M.: Landscape dynamic characteristics using satellite data for a mountainous watershed of Abha, Kingdom of Saudi Arabia. Environ. Earth Sci. 72(12) (2014). https://doi.org/10.1007/s12665-014-3408-1

  • Mallick, J., Singh, R.K., AlAwadh, M.A., Islam, S., Khan, R.A., Qureshi, M.N.: GIS-based landslide susceptibility evaluation using fuzzy-AHP multi-criteria decision-making techniques in the Abha Watershed, Saudi Arabia. Environ. Earth Sci. (2018). https://doi.org/10.1007/s12665-018-7451-1

  • Sheldrick, B.H., Wang, C.: Particle size distribution. In: Carter, M.R. (ed.) Soil Sampling and Methods of Analysis, pp. 499–511. Canadian Society of Soil Science. Lewis, Ann Arbor, MI (1993)

    Google Scholar 

  • Tamani, F., Hadji, R., Hamad, A., Hamed, Y.: Integrating remotely sensed and GIS data for the detailed geological map** in semi-arid regions: case of Youks les Bains Area, Tebessa Province, NE Algeria. Geotech. Geol. Eng. (2019)

    Google Scholar 

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Khan, R.A., Mallick, J., Morabet, R.E. (2022). Modelling Spatial Variability of Soil Particle Size Distribution in Mountainous Watershed of Bisha-Khamis, KSA. In: El-Askary, H., Erguler, Z.A., Karakus, M., Chaminé, H.I. (eds) Research Developments in Geotechnics, Geo-Informatics and Remote Sensing. CAJG 2019. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-72896-0_74

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