Estimating Soil Strength Using GIS-Based Maps - A case study in Sweden

Sima Mohtashami; Linnea Hansson; Lars Eliasson

doi:10.33904/ejfe.1321075

EN

Estimating Soil Strength Using GIS-Based Maps - A case study in Sweden

Abstract

Soil strength is an important parameter for planning of forest roads and harvesting operations. Locating roads to areas with high soil strength reduce both build and maintenance costs. Locating logging trails to high strength areas minimise soil disturbances, e.g., rutting and compaction of forest soils. GIS-based maps of soil type and soil moisture can be valuable tools to estimate soil strength. The aim of this study was to evaluate the use of soil moisture map, i.e., depth-to-water (DTW), maps and soil type maps, to estimate soil strength expressed as California bearing ratio (CBR). CBR, volumetric water content, and ground penetration depth were measured in 120 sample points, separated on three soil classes (clay-silt sediments, sand sediments, glacial till) and two soil moisture classes (wet, dry). In each point, soil samples were collected for validation of the soil type maps. There was a high conformance between soil moisture predicted by DTW maps and field measurements, but conformance of the soil type between maps and field estimates varied between soil types. For sediment soils, dry soils were consistently stronger than wet soils. Soil strength of glacial till soils was more complicated with a binary CBR distribution depending on soil stoniness. Glacial till soils possible to penetrate to 20 cm depth with the dynamic cone penetrometer had CBR values close to those for sand sediments. There is a potential to estimate soil strength from DTW and soil type maps, but these variables should preferably be complemented with other data.

Keywords

soil disturbance , soil moisture , soil type , logging operations , planning

References

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Details

Primary Language

English

Subjects

Forest Products Transport and Evaluation Information , Forestry Sciences (Other)

Journal Section

Research Article

Authors

Sima Mohtashami
0000-0002-3127-064X
Sweden

Linnea Hansson
0000-0002-9788-1734
Sweden

Lars Eliasson ^*
0000-0002-2038-9864
Sweden

Early Pub Date

December 13, 2023

Publication Date

December 26, 2023

Submission Date

June 30, 2023

Acceptance Date

October 30, 2023

Published in Issue

Year 2023 Volume: 9 Number: 2

DOI

https://doi.org/10.33904/ejfe.1321075

IZ

https://izlik.org/JA82ZH45CT

APA

Mohtashami, S., Hansson, L., & Eliasson, L. (2023). Estimating Soil Strength Using GIS-Based Maps - A case study in Sweden. European Journal of Forest Engineering, 9(2), 70-79. https://doi.org/10.33904/ejfe.1321075

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Creative Commons License

The works published in European Journal of Forest Engineering (EJFE) are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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Estimating Soil Strength Using GIS-Based Maps - A case study in Sweden

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Early Pub Date

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

High-resolution harvester data for estimating rolling resistance and forest trafficability

GIS based allowable bearing capacity thematic maps of shallow foundation for Bogura District, Bangladesh