黑河流域数字土壤制图产品（第二版）：土壤质地分布数据集(2012-2014年)

土壤粒级划分标准使用美国制分类法。本数据集的源数据来源于黑河流域重大研究计划集成项目（黑河流域土壤数据集成与土壤信息产品生成，91325301）集成的土壤剖面数据。预测方法主要是基于土壤-景观模型，该模型基本理论基础是经典的土壤发生理论，模型将土壤视为气候、地形、母质、生物和时间综合作用的产物。

The soil particle size classification standard adopts the United States Department of Agriculture (USDA) classification system. The source data of this dataset is the integrated soil profile data derived from the Integrated Project of the Major Research Plan of the Heihe River Basin (Integrated Soil Data and Generation of Soil Information Products for the Heihe River Basin, Grant No. 91325301). The prediction approach primarily relies on the soil-landscape model, whose core theoretical foundation is the classical soil genesis theory. This model conceptualizes soil as the outcome of the integrated effects of climate, topography, parent material, biota, and time.