| Issue |
BIO Web Conf.
Volume 125, 2024
The 10th International Conference on Agricultural and Biological Sciences (ABS 2024)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 6 | |
| Section | Sustainable Agriculture, Soil and Plant Science | |
| DOI | https://doi.org/10.1051/bioconf/202412501008 | |
| Published online | 23 August 2024 | |
Assessment of soil erosion through spatial analyzing of soil properties using statistical-based functions
1 Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran
2 Department of Structural and Geotechnical Engineering, Széchenyi István University, 9026 Győr, Hungary
* Corresponding author: narges.karimi991@gmail.com
The significant geomorphological hazard of collapsed cavities (CC) causes notable environmental transformations. To address this issue, the pipe collapse pattern was examined using two statistical methods, the Density Correlation Function (DCF) and the Mark Coloration Function (MCF). Key predictor variables like organic carbon (OC), sodium adsorption ratio (SAR), and exchangeable sodium percentage (ESP) were utilized to comprehend their impact on spatial distribution over time. The study was found that lower OC levels increase susceptibility to CC, while higher SAR and ESP amounts enhance the potential for collapsed cavities. The methodology and discoveries of this research can offer valuable insights for land managers, stakeholders, and researchers.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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