A model for characterizing dry soil aggregate size distribution

• Published in: Catena (Giessen) Vol. 198; p. 105018
• Main Authors: Guo, Zhongling, Chang, Chunping, Zou, Xueyong, Wang, Rende, Li, Jifeng, Li, Qing
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2021
• Subjects: aggregate stability; catenas; Dry soil aggregate size distribution; dust; Flat sieve; land use; lognormal distribution; Modeling; Rotary sieve; soil aggregates; soil management; soil texture; Weibull statistics; Wind erosion; aR2; WEQ; STD; D; Max; d0; Modeling; WD; Flat sieve; MLN; dr; P; Rotary sieve; DASD; R; Wind erosion; RWEQ; Dry soil aggregate size distribution; k; RMSE; n; dmax; α; Ave; β; γ; Min; δ; P(d); WEPS; λ; μ; FD
• DOI: 10.1016/j.catena.2020.105018
• ISSN: 0341-8162

•A new model was proposed for dry soil aggregate size distribution.•The performance of the new model is better than the existed models.•Dry soil aggregate size distribution patterns affect the accuracy of these models.•The choice of screen openings affects dry soil aggregate size distributions.•A parameter in the new model (dr) was significantly related to wind erosion rate. Dry soil aggregate size distribution (DASD) is an important parameter in evaluating soil management practices or modeling of wind erosion and dust emissions. Several models including Lognormal, Fractal and Weibull distributions have been developed to quantitatively describe the DASD. In this study, a new model combining power-law and exponential distributions was proposed to characterize DASD. The performances of the Fractal, Weibull and modified Lognormal distributions and the new model were investigated using 253 DASD data from published documents across five countries. The new model best described the observed DASD data across different soil texture, land use and sieving cuttings. The patterns of DASD generally governed the goodness of fit of these DASD models. The Fractal and Weibull distributions could not well depict the right-skewing unimodal and multimodal DASD data. The modified Lognormal distribution could not well describe the multimodal DASD data. The larger aggregate size distribution was better dictated by the power-law distribution, whereas the smaller aggregate size distribution was characterized by the power-law and exponential distributions for the new model. The choice of screen opening for sieving procedure could affect the patterns of the apparent DASD, and further influence the accuracy of the DASD models. The dr, a parameter in the new model, was significantly related to rock fragments, soil aggregate stability and wind erosion rate. More studies are required to investigate the relationship between the parameters of the new model and soil properties linked with wind erosion.