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RESEARCH PAPER
Texture classification of particle size distribution data measured with laser diffraction method using different water types
1
Department of Soil Physics and Water Management, Institute for Soil Sciences, Centre for Agricultural Research, Hungarian Research Network, 1116 Budapest, Fehérvári út 132-144, Hungary
2
Department of Soil Science, Institute of Environmental Sciences, Szent István Campus, Hungarian University of Agriculture and Life Sciences, 2100 Gödöllő, Páter Károly u. 1, Hungary
3
Department of Soil Mapping and Environmental Informatics, Institute for Soil Sciences, Centre for Agricultural Research, Hungarian Research Network, 1116 Budapest, Fehérvári út 132-144, Hungary
Final revision date: 2025-03-20
Acceptance date: 2025-04-04
Publication date: 2025-06-23
Corresponding author
András Makó
Department of Soil Physics and Water Management, Institute for Soil Sciences, Centre for Agricultural Research, Hungarian Research Network, Fehérvári, 1116, Budapest, Hungary
Department of Soil Physics and Water Management, Institute for Soil Sciences, Centre for Agricultural Research, Hungarian Research Network, Fehérvári, 1116, Budapest, Hungary
Int. Agrophys. 2025, 39(4): 347-364
HIGHLIGHTS
- Degree of soil disaggregation affects LDM PSD results and soil texture
- Different disaggregation methods are effective depending on soil properties
- LDM PSD test results are affected by the quality of the aqueous medium used
- It is crucial to grasp the nature of soil-liquid phase-dispersant interactions
- Standardisation of LDM PSD test requires knowledge of the above factors
KEYWORDS
TOPICS
ABSTRACT
Laser diffraction measurement (LDM) is an accurate, fast, and reproducible method for measuring the particle size distribution (PSD), which is the basis for texture determination. However, LDM might yield different results from those provided by previously used sedimentation-based methods and even by other LDM measurements, depending on inter alia the applied instruments, their geometry, sample preparation, and/or pretreatment methods. It is also not yet generally known how these deviations affect the texture classification of soils. In our work, results of nine different texture classifications of eight soil samples were compared using confusion matrices based on PSD data obtained by: a) the sieve pipette method (SPM) after removal of binding agents between elementary particles; b) LDM measurement (without preparation) in distilled water and tap water, with pretreatments as follows: 1) without a dispersing effect, 2) using Calgon, 3) using ultrasound, or 4) applying their combination. Our results showed that the texture classification might shift by more than two classes due to either the type of measurement or the chemical or mechanical disaggregation method used, the quality of aqueous media, the variation of soil properties, or the interactions occurring in soil-liquid phase-dispersant systems. The standardisation of the LDM requires the elimination of these sources of error.
FUNDING
This research is supported by the Hungarian National Research, Development and Innovation Office Foundation (Grant No. OTKA K134563) and by a common grant from the Hungarian and Polish Academy of Sciences (Grant No. NKM2023-40).
CONFLICT OF INTEREST
The authors do not declare any conflict of interest.
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| eISSN: | 2300-8725 |
| ISSN: | 0236-8722 |
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