疏勒河流域HWSD土壤质地数据集
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数据集为2009年疏勒河流域HWSD土壤质地数据集 土壤属性表主要字段包括： SU_SYM90（FAO90土壤分类系统中土壤名称) SU_SYM85(FAO85分类) T_TEXTURE(顶层土壤质地) DRAINAGE(19.5)； ROOTS：String(到土壤底部存在障碍的深度分类)； SWR：String (土壤含水量特征)； ADD_PROP： Real (土壤单元中与农业用途有关的特定土壤类型)； <>T_GRAVEL：Real (碎石体积百分比)；T_SAND： Real (沙含量)； T_SILT： Real (淤泥含量)； T_CLAY：Real (粘土含量)； T_USDA_TEX： Real (USDA土壤质地分类)； T_REF_BULK： Real (土壤容重)； T_OC： Real (有机碳含量)； T_PH_H2O：Real (酸碱度) T_CEC_CLAY：Real (粘性层土壤的阳离子交换能力)； T_CEC_SOIL： Real (土壤的阳离子交换能力) T_BS：Real (基本饱和度)； T_TEB： Real (交换性盐基)； T_CACO3： Real (碳酸盐或石灰含量) T_CASO4： Real (硫酸盐含量)； T_ESP： Real (可交换钠盐)； T_ECE： Real (电导率)。 <p其中以T_开头属性字段表示上层土壤属性（0-30cm），以S_开头属性字段表示下层土壤属性（30-100cm）(FAO 2009)。 该数据可为地球系统建模者提供模型输入参数，农业角度可用来研究生态农业分区，粮食安全和气候变化等。
This dataset is the HWSD Soil Texture Dataset of the Shule River Basin in 2009. The main fields of the soil attribute table are as follows: SU_SYM90 (Soil name in the FAO90 soil classification system), SU_SYM85 (FAO85 classification), T_TEXTURE (Topsoil texture), DRAINAGE (19.5), ROOTS: String (Depth classification of obstacles to the bottom of the soil), SWR: String (Soil moisture content characteristics), ADD_PROP: Real (Specific soil types related to agricultural use within soil units), <>T_GRAVEL: Real (Gravel volume percentage), T_SAND: Real (Sand content), T_SILT: Real (Silt content), T_CLAY: Real (Clay content), T_USDA_TEX: Real (USDA soil texture classification), T_REF_BULK: Real (Soil bulk density), T_OC: Real (Soil organic carbon content), T_PH_H2O: Real (Soil pH in water), T_CEC_CLAY: Real (Cation exchange capacity of the clay soil horizon), T_CEC_SOIL: Real (Cation exchange capacity of the whole soil), T_BS: Real (Base saturation), T_TEB: Real (Exchangeable bases), T_CACO3: Real (Carbonate or lime content), T_CASO4: Real (Sulfate content), T_ESP: Real (Exchangeable sodium salts), T_ECE: Real (Electrical conductivity). Attribute fields starting with T_ represent topsoil properties (0–30 cm), while those starting with S_ represent subsoil properties (30–100 cm) (FAO 2009). This dataset can provide model input parameters for earth system modelers. From an agricultural research perspective, it can be used to study topics such as eco-agricultural zoning, food security and climate change.
