MODELING AND GEOTECHNICAL ZONING OF GEOTECHNICAL PROPERTIES OF SOILS IN FERGANA REGION

Authors

  • Khakimova Kamola Rakhimjonovna Fergana State Technical University
  • Imomaliyeva Zarnigor Oybek kizi Master's Student, Fergana State Technical University University

Keywords:

Fergana region, soil geotechnical properties , geotechnical modeling , geotechnical zoning , geostatistics , variogram , kriging, GIS technologies , geotechnical information base , geotechnical risk , seismogeotechnical assessment.

Abstract

This in the article Soils of the Fergana region modeling geotechnical properties and the area geotechnical risk to the level see zoning according to scientific and methodological approach has been developed. First of all, the field and laboratory tests results ( φ , c, E, g , Cc, cv and others) based on geotechnical information base formed, each X, Y, Z coordinates for a point, soil type, layer code, experiment ( X_test ), characteristic ( X_k ) and computational ( X_d ) parameters one to the system was brought. Then geostatistician methods – variogram analysis and kriging interpolation – using of parameters spatial distribution modeled by , φ , c, E, Cc, cv isoline and superficial maps created. Geotechnical parameters layers in a GIS environment land under water level, salinity, relief slope, seismic zoning such as thematic layers with integration geotechnical and seismogeotechnics risk level complex was evaluated. As a result, By Fergana region relatively comfortable, careful approach required and geotechnical in terms of complicated zones separated and every for one zone research size, foundation types choice and additional constructive measures according to recommendations have been developed. Proposal done approach province on a scale territorial planning, new construction and infrastructure projects geotechnical in terms of in justification application possible was effective scientific and practical the platform shapes.

References

1.Arshid MU, Kamal MA Regional geotechnical mapping employing kriging on electronic geodatabase // Applied Sciences . – 2020. – T. 10. – No. 21. – Art. 7625. – DOI: 10.3390/app10217625.

2.Alli MM, Nowatzki EA, Myers DE Probabilistic analysis of collapsing soil by indicator kriging // Mathematical Geology . - 1990. - T. 22. - No. 1. - P. 15-38. – DOI: 10.1007/BF00890295.

3.Wani MA, Wani JA, Bhat MA, et al. Mapping of soil micronutrients in Kashmir agricultural landscape using ordinary kriging and indicator approach // Journal of the Indian Society of Soil Science . - Year and volume : ( article information filling necessary , but name and authors that's exactly it ).

4.Hosseini SZ, et al. Comparison of different geostatistical methods for soil property mapping // Polish Journal of Environmental Studies . – 2012. – T. 21. – No. 4. – B. 1181–1192.

5.Hengl T., Heuvelink GBM, Stein A. A generic framework for spatial prediction of soil variables based on regression-kriging // Geoderma . - 2004. - T. 120. - B. 75-93.

6.Hengl T., Mendes de Jesus J., Heuvelink GBM , et al. SoilGrids250m: Global gridded soil information based on machine learning // PLOS ONE . – 2017. – T. 12. – No. 2. – e0169748. – DOI: 10.1371/journal.pone.0169748.

7.Nath SK, Thingbaijam KKS, Kumar A. et al. Seismic microzonation and hazard assessment for Guwahati city, India // Natural Hazards . - 2009. - T. 49. - P. 137-163. ( Article content For : Guwahati area according to geotechnical-geophysical parameters based on microdistricting model built .)

8.

Ansal A. (ed.) Recent advances in earthquake geotechnical engineering and microzonation . - Dordrecht: Springer, 2006. - 354 p.

9.

Mitchell JK Fundamentals of soil behavior. – 2nd edition. - New York: John Wiley & Sons, 1993. - 422 p.

10.

Khakimova K., Abdukhalilov B., Kasimov L., Abdusalomov A., Yakubov Sh. Application of GIS technologies for improving the content of the tourist map of Fergana province, Uzbekistan // E3S Web of Conferences . - 2023. - T. 386. - Art. 04003. – DOI: 10.1051/e3sconf/202338604003.

11.Khakimova K., Yakubov Sh. Creation of agricultural electronic maps using geoinnovation methods and technologies // Science and Innovation . – 2023. – T. 2. – No. D1. - B. 64-71.

12.Yusufovich G.Yu. , and others. The use of remote sensing technologies in the design of maps of agricultural land // Texas Journal of Agriculture and Biological Sciences . – 2023. – T. 23. – B. 17–21.

13.Khakimova K., Kasimov L., Yakubov Sh. and b. Application of GIS technologies for improving the content of the tourist map of Fergana province, Uzbekistan // E3S Web of Conferences . – 2023. – T. 386. – B. 04003. ( by Ferg'ana region interactive-dynamic cards create methodology , geodatabase and GIS technologies integration illuminated .)

14.Hosseini SZ, Sullivan DG, Shaw JN , et al. Using remote sensing data to evaluate surface soil properties in Alabama ultisols // Soil Science . - 2005. - T. 170. - B. 954-966.

15.Illinois State Geological Survey (ISGS). 3D geological mapping in ArcScene : workflow documentation. – Champaign, IL: ISGS, year will be displayed ( Arshid and co-authors by 3D geological / geotechnical in developing models link made technician manual ) .

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Published

2025-12-11

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How to Cite

MODELING AND GEOTECHNICAL ZONING OF GEOTECHNICAL PROPERTIES OF SOILS IN FERGANA REGION. (2025). European Journal of Emerging Technology and Discoveries, 3(12), 1-11. https://europeanscience.org/index.php/1/article/view/1602