中文摘要：

为比较与评价激光法与吸管法测定土壤粒径分布的准确性，该文采用激光法与吸管法测定了23组来自中国13个不同省份或自治区土壤样本的粒径分布，将激光法与传统吸管法的测定结果进行比较，并在此基础上对激光法测定参数进行了修正。结果表明：1）与吸管法相比，激光衍射法低估土壤样品中的黏粒含量，其相对误差为36.33%；高估粉粒含量，其相对误差为36.51%；2）对吸管法与激光衍射法的实测结果进行线性关系分析表明，其中黏粒与粉粒的线性关系较好，决定系数分别为0.91，0.90；3）经过模型转换后，基于激光衍射法的土壤粒径分布结果的相对误差明显降低：黏、粉的相对误差分别降低至16.25%、12.83%，说明激光衍射法可以用于大规模不同类型的土壤粒径分析。该研究可为土壤系统化和规范化的对比研究以及建立基于激光衍射技术的土壤质地划分标准提供依据。

英文摘要：

Particle size distribution （PSD） is one of the most fundamental physical properties of the soil, which provides researchers the key basics for the spatial variability of digital soil mapping. Earlier, the soil PSD was mostly derived from the classical sieve-pipette method （SPM）. However, the process of SPM analysis is tedious and time-consuming especially for the fine-textured soils. Based on the laser diffraction technique, laser diffraction method （LDM） provides an effective method to determine soil PSD, and its popularity increases for soil researches involving a large number of samples. However, results from the LDM and traditional SPM are different. The present study is aimed to assess the suitability of LDM as a routine method for determining soil PSD, and establish a simplified protocol for transforming the LDM results into traditional SPM ones. The soil samples （a total number of 23） from 13 Chinese provinces or autonomous region were analyzed and the results indicated that：1） Compared to the SPM in the condition of limited sample numbers and large between-sample variation, LDM underestimate of clay content in soil samples, and overestimate of silt content in soil samples, the relative errors for clay and silt fractions were 36.33% and 36.51%respectively; 2） a linear relationship was established for the measured results of SPM and LDM, the detemination coefficients were 0.91, 0.90 and 0.79; through model transformation, the relative error of the LDM measured results decreased to 16.25%（for clay content）, 12.83%（for silt content）;3） upon using the Mie theory to determine the soil PSD, the results of the present study also indicated that the precision could be improved and the discrepancies between the PSD obtained from the SPM and LDM could be decreased with slight modifications in SRI values;A soil particle refractive index （SRI） of 1.50 and soil particle absorption index （SAI） of 0.01 were found to be optimal for the Mie theory model. With relatively limited sample