Skip to main content
Log in

Inverse distance weighted (IDW) and kriging approaches integrated with linear single and multi-regression models to assess particular physico-consolidation soil properties for Kirkuk city

  • Original Article
  • Published:
Modeling Earth Systems and Environment Aims and scope Submit manuscript

Abstract

Due to significant budgetary constraints, it is impractical to experimentally study a wide territory to identify soil characteristics over the entire city. Thus, the focus of this work was on employing a geographic information system, as indicated by both Kriging and inverse distance weighted (IDW) approaches, incorporated with linear single and multi-regression models to include a dataset for 56 different soil samples from various sites of Kirkuk city. The IDW and Kriging techniques were utilized to study the physical and consolidation soil parameters such as the percentages of clay, silt, sand, and gravel, preconsolidation pressure (Pc), vertical effective stress (Po), compression index (Cc), and recompression index (Cr). The physico-consolidation relationship was assessed using a linear single regression model in which each consolidation and physical soil property were individually associated. Furthermore, the physico-consolidation association has been determined using a linear multi-regression model where each consolidation soil characteristic was correlated with all the inspected physical soil properties. This study’s findings focused on developing two sets of geographic digital maps for examining different physical and consolidation characteristics of Kirkuk soils. Based on the physico-consolidation correlation analysis, Cc and all physical soil characteristics have substantial positive associations. The Pc and Po values were accurately predicted by the suggested linear multi-regression model. Combined with the presented statistical models, the resulting digital soil maps can provide comprehensive geographical, mechanical, and agricultural representations of soil composition and morphology in Kirkuk city.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

Download references

Acknowledgements

The authors are grateful to everyone who worked with the team members and at the General Commission of Kirkuk Constructional Laboratory.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Aram Mohammed Raheem or Ibrahim Jalal Naser.

Ethics declarations

Conflict of interest

The authors affirm that they have no known financial or interpersonal conflicts that would have seemed to have an impact on the research presented in this study.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Raheem, A.M., Naser, I.J., Ibrahim, M.O. et al. Inverse distance weighted (IDW) and kriging approaches integrated with linear single and multi-regression models to assess particular physico-consolidation soil properties for Kirkuk city. Model. Earth Syst. Environ. 9, 3999–4021 (2023). https://doi.org/10.1007/s40808-023-01730-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40808-023-01730-5

Keywords

Navigation