中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 黄土区不同土层饱和导水率空间变异与影响因素 土壤通报 2018 (5) 1073-1079
Position: Home > Articles > Spatial Variation and Influencing Factors of Saturated Hydraulic Conductivity in Different Soil Layers of the Loess Area Chinese Journal of Soil Science 2018 (5) 1073-1079

黄土区不同土层饱和导水率空间变异与影响因素

作  者：
于冬雪;贾小旭;黄来明
关键词：
黄土区;饱和导水率;空间变异;土地利用;分布格局
摘  要：
为掌握黄土区区域尺度不同土层饱和导水率(K_s)空间分布特征,在典型黄土高原地区网格布设243个样点,获取0~10 cm、10~20 cm和20~40 cm土壤K_s及相关环境因子。采用经典统计学与地统计学方法,分析了K_s的空间分布规律、变异特征及影响因素。结果表明:(1)区域尺度不同土层K_s均呈中等程度变异,K_s随土层深度增加而逐渐降低,且不同土层K_s平均值表现为林地>草地>农地;(2)0~10 cm、10~20 cm和20~40 cm土层K_s半方差函数最佳拟合模型分别为球状模型、高斯模型和球状模型,且均具有强烈的空间自相关性;(3)气候、土壤、地形和土地利用方式是影响黄土区区域尺度K_s空间分布的主要因素,可作为模拟区域K_s空间分布状况的预测变量。
译  名：
Spatial Variation and Influencing Factors of Saturated Hydraulic Conductivity in Different Soil Layers of the Loess Area
作  者：
YU Dong-xue;JIA Xiao-xu;HUANG Lai-ming;Key laboratory of Ecasystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences;College of Resources and Environment, University of Chinese Academy of Sciences;
单  位：
YU Dong-xue%JIA Xiao-xu%HUANG Lai-ming%Key laboratory of Ecasystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences%College of Resources and Environment, University of Chinese Academy of Sciences
关键词：
Loess area;;Saturated hydraulic conductivity;;Spatial variation;;Land use;;Distribution pattern
摘  要：
Saturated hydraulic conductivity(K_s) is one of the important soil hydraulic parameters for soil water and solute transport modeling. To understand the regional spatial variations of K_sand its potential influencing factors at different soil layers, 243 sampling sites were determined across the loess area. K_swas measured at the depth of 0-10 cm, 10-20 cm and 20-40 cm from May to August, 2012. Climate, soil, topography and land use data were also collected. The distribution and variation characteristics of K_sat different soil layers were evaluated by using the methods of classical statistics and geostatistics. The results showed that K_sat different soil layers exhibited moderate variation and generally decreased with increasing soil depth in the loess area. In general, the mean K_sat different soil layers were decreased as follows: forestland > grassland > cropland. Semivariograms of K_swas best fitted by the spherical model, the Gaussian model and the spherical model for the 0-10 cm, 10-20 cm and 20-40 cm soil layer, respectively. The degree of spatial dependence was strong for the three soil layers. Climate, soil, topography and land use type were the key factors to affect the spatial distribution of K_sat the regional scale of the loess area. These factors could be used to simulate the K_sdistribution at a regional scale in the loess area.

相似文章

导出引用
计量
文章访问数: 9
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46