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 d_r, 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.

干土骨料粒度分布（DASD）是评估土壤管理实践或风蚀和粉尘排放模型的重要参数。已经开发了包括对数正态，分形和威布尔分布在内的几种模型来定量描述DASD。在这项研究中，提出了一种结合幂律和指数分布的新模型来表征DASD。使用来自五个国家/地区的已发布文档的253个DASD数据，研究了分形，威布尔分布和修正对数正态分布以及新模型的性能。新模型最好地描述了在不同土壤质地，土地利用和筛分cutting插中观察到的DASD数据。DASD的模式通常支配着这些DASD模型的拟合优度。分形和威布尔分布不能很好地描述右旋的单峰和多峰DASD数据。修改后的对数正态分布不能很好地描述多峰DASD数据。较大的聚集体大小分布更好地由幂律分布决定，而较小的聚集体大小分布由新模型的幂率分布和指数分布表征。用于筛分程序的筛网开口的选择可能会影响表观DASD的样式，并进一步影响DASD模型的准确性。的 而较小的集合体大小分布的特征在于新模型的幂律分布和指数分布。用于筛分程序的筛网开口的选择可能会影响表观DASD的样式，并进一步影响DASD模型的准确性。的 而较小的集合体大小分布的特征在于新模型的幂律分布和指数分布。用于筛分程序的筛网开口的选择可能会影响表观DASD的样式，并进一步影响DASD模型的准确性。的新模型中的参数d _r与岩石碎片，土壤团聚体稳定性和风蚀率显着相关。需要更多的研究来研究新模型的参数和与风蚀有关的土壤特性之间的关系。