1. 中国科学院西北生态环境资源研究院, 中国生态系统研究网络临泽内陆河流域研究站,兰州,730000
2. 中国科学院大学,北京,100049
[ "康文蓉(1997-),女,在读硕士研究生,主要从事干旱区土壤水文研究。E-mail:kangwenrong@nieer.ac.cn" ]
纸质出版:2021
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康文蓉, 张勇勇, 赵文智, 等. 荒漠绿洲过渡带土壤饱和导水率的空间变异特征[J]. 水土保持学报, 2021,35(5):137-143.
KANG Wenrong, ZHANG Yongyong, ZHAO Wenzhi, et al. Spatial Variation Characteristics of Soil Saturated Hydraulic Conductivity in a Desert-Oasis Ecotone[J]. 2021, 35(5): 137-143.
康文蓉, 张勇勇, 赵文智, 等. 荒漠绿洲过渡带土壤饱和导水率的空间变异特征[J]. 水土保持学报, 2021,35(5):137-143. DOI: 10.13870/j.cnki.stbcxb.2021.05.020.
KANG Wenrong, ZHANG Yongyong, ZHAO Wenzhi, et al. Spatial Variation Characteristics of Soil Saturated Hydraulic Conductivity in a Desert-Oasis Ecotone[J]. 2021, 35(5): 137-143. DOI: 10.13870/j.cnki.stbcxb.2021.05.020.
土壤饱和导水率(saturated hydraulic conductivity,Ks)是影响土壤水文过程的重要参数,反映了土壤的入渗性能与持水能力。为探究荒漠绿洲过渡带土壤Ks的空间分布特征及影响因素,基于网格法(2 km×2 km)在黑河中游荒漠绿洲过渡带不同景观类型布设27个样点,获取0—30 cm土层基本物理性质,并利用Hood-IL 2700入渗仪测定土壤Ks。采用经典统计学和地统计结合的方法分析土壤Ks空间分布特征及其影响因素,建立Ks的土壤传递函数。结果表明:(1)土壤Ks变异系数为1.21,属强变异,Ks和土壤水分(SW)、有机质、黏粒(clay)、粉粒含量呈极显著负相关(P<0.01),与容重(ρb)、砂粒含量呈极显著正相关(P<0.01)。(2)土壤水分半变异函数最佳拟合模型为指数模型,容重、黏粒含量均为球状模型,容重、土壤水分和黏粒的最佳采样距离分别为0.38~0.77,1.86~3.72,1.41~2.83 km。(3)建立的传递函数为log Ks=-2.914+2.772ρb-0.09SW+0.068clay,容重、土壤水分和黏粒含量可作为模拟区域饱和导水率空间分布状况的预测变量。研究结果为荒漠绿洲过渡带土壤水分运移及模拟提供重要的数据支撑。
Soil saturated hydraulic conductivity (Ks) is an important parameter affecting soil hydrological process
which reflects soil infiltration and water holding capacity. In order to explore spatial distribution characteristics and influencing factors of Ks
we used the grid method (2 km×2 km)
27 samples of different landscape types were arranged in the desert-oasis ecotone of the middle reaches of the Heihe River. Ks was determined by Hood-IL 2700 infitrometer and soil physicochemical properties of 0-30 cm soil depth were obtained. Spatial distribution characteristics of Ks and its influencing factors were analyzed by classical statistics and geostatistics
and pedo-transfer functions were constructed. The results showed that:(1) The variation coefficient of Ks was 1.21
which belonged to strong variation. Ks had significant negative correlations with soil water content
soil organic carbon
clay and silt
while had significant positive correlations with bulk density and sand. (2) The best fitting model of semi-variable function of soil water content was exponential model
and those of bulk density and clay were spherical models. The optimum sampling distance of bulk density
water content and clay were 0.38~0.77
1.86~3.72 and 1.41~2.83 km. The constructed pedo-transfer function was log Ks=-2.914+2.772ρb-0.09SW+0.068clay. Bulk density
soil water content and clay could be used as predictive variables that could simulate the spatial distribution of Ks in the desert-oasis ecotone. This study could provide data support for simulating soil water movement and simulation in desert-oasis ecotone.
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