Using Different Approaches of Particle Size Analysis for Estimation of Water Retention Capacity of Soils: Example of Keszthely Mountains (Hungary)

Q4 Agricultural and Biological Sciences
Orsolya Szecsődi, A. Makó, Viktória Labancz, G. Barna, B. Gálos, A. Bidló, A. Horváth
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引用次数: 1

Abstract

PSD (particle size distribution) is a key factor affecting soil hydro-physical properties (e.g. hydraulic conductivity and water retention), which makes its determination essential. Climate change increases the importance of water retention and permeability as extreme weather events can severely impair the water supply of drought-sensitive vegetation. The amount of water in soils is expected to decrease. The modified Thornthwaite model considers soil properties such as root depth, topsoil layer thickness and particle size distribution (silt and clay fraction) of soil particles combined with the most significant soil properties. At the beginning of the research, we developed a laser diffraction method to replace the standard based “pipette” sedimentation method. The theoretical background of laser diffraction measurements is already known, but their practical application for estimating soil water retention capacity is still poorly understood. The pre-sieving of soil aggregates, the pre-treatment (disaggregation and dispersion) of the samples greatly influence the obtained results. In addition to the sedimentation method, laser diffraction measurements (Malvern Mastersizer 3000) were applied with three variants of pre-treatment. For comparison, the results of a Leptosol, a Cambisol, and a Luvisol were prepared for the first modified Thornthwaite water balance model. Significant differences appeared, especially during drought periods, which could be a basis for studying soil drought sensitivity. The development of our method can estimate the water retention capacity of soil, which could support adaptive forest management plans against climatic and pedological transformations.
利用不同粒度分析方法估算土壤保水能力——以匈牙利Keszthely山为例
PSD(粒径分布)是影响土壤水物理性质(如导电性和保水性)的关键因素,因此测定PSD至关重要。气候变化增加了水分保持和渗透性的重要性,因为极端天气事件会严重损害干旱敏感植被的供水。土壤中的水分预计会减少。修正的Thornthwaite模型结合最重要的土壤性质考虑了土壤性质,如根深、表层土层厚度和土壤颗粒粒度分布(粉土和粘土分数)。在研究之初,我们开发了一种激光衍射法来取代基于标准的“移液”沉淀法。激光衍射测量的理论背景已经为人所知,但其在估计土壤保水能力方面的实际应用仍然知之甚少。土壤团聚体的预筛和样品的预处理(分解和分散)对所得结果有很大影响。除沉淀法外,激光衍射测量(Malvern master粒度机3000)采用三种不同的预处理方法。为了比较,我们为第一个修正的Thornthwaite水平衡模型准备了Leptosol、Cambisol和Luvisol的结果。在干旱期差异显著,可作为研究土壤干旱敏感性的基础。该方法的发展可以估计土壤的保水能力,为气候和土壤变化的适应性森林管理计划提供支持。
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来源期刊
Acta Silvatica et Lignaria Hungarica
Acta Silvatica et Lignaria Hungarica Agricultural and Biological Sciences-Forestry
CiteScore
0.90
自引率
0.00%
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0
审稿时长
12 weeks
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