干旱区生态环境知识资源中心(Arid): 干湿季节下基于遥感和电磁感应技术的塔里木盆地北缘绿洲土壤盐分的空间变异性

Arid

	干湿季节下基于遥感和电磁感应技术的塔里木盆地北缘绿洲土壤盐分的空间变异性
其他题名	Monitoring spatial variability of soil salinity in dry and wet seasons in the North Tarim Basin using remote sensing and electromagnetic induction instruments
	姚远; 丁建丽; 雷磊; 江红南; 张芳; 牛涛
来源期刊	生态学报
ISSN	1000-0933
出版年	2013
卷号	33 期号:17 页码:5308-5319
中文摘要	土壤盐渍化问题是制约干旱半干旱区植被生长最主要的生态环境地质问题,也是影响绿洲农业生产的障碍性问题。而将遥感与近感技术相结合,是当前评价、监测及预报土壤盐渍化程度的先进方法。以新疆塔里木盆地北缘的渭干河-库车河三角洲绿洲为例,以遥感数据和解译后的电磁感应数据为基础数据源,利用解译后的数据结合GIS和地统计学知识以及野外实测所得到的土壤电导率和盐分资料,分别采用泛克里格(Universal Kriging)、光谱指数回归(Spectral Index Regression)和回归残差泛克里格(Regression-Universal Kriging)3种方法研究了该地区两个关键季节(干季和湿季)土壤盐分的空间变异特征。研究结果表明:研究区的土壤浸提液电导率EC_(1:5)和土壤盐分呈现显著相关,可以用EC_(1:5)来代替土壤的全盐量进行分析;电磁感应仪(EM38)所测各季节土壤表观电导率与EC1:5的相关系数均达到1%显著水平,以表观电导率垂直读数(EM_V)和水平读数(EM_(H))为自变量的多元回归模型拟合效果较好;研究区各季节的表层土壤电导率的空间分布均表现为强相关性,说明土壤采样点间的内部结构性良好,采用能够充分考虑到干旱区表层土壤电导率空间变异的尺度依赖性的球状套合模型,能够更好的拟合土壤表观电导率的空间结构;经过精度比较,回归残差泛克里格法为最优预测方法,这表明将遥感和电磁感应技术相结合,能够有效的提高预测与评估土壤盐分空间分布的精度,为精确地进行土壤盐分预测以及土壤次生盐渍化的防控提供了一定的依据。
英文摘要	Soil salinization is one of the most critical eco-environmental problems in arid and semiarid regions, which constrains vegetation growth and, therefore, exerts crop yield and agricultural production. Integrated satellite remote sensing and near sensing technology based on electromagnetic induction instruments is an advanced method for monitoring and forecasting soil salinization. In this contribution, remote sensing and electromagnetic induction EM38 and its mobile sensing system are used to evaluate soil salinity at the delta oasis between the Weigan River and the Kuqa River in the north rim of the Tarim basin. Spatio-temporal variation of soil salinity in response to dry and wet seasons is analyzed by using GIS and geo-spatial statistics. Spatial variability of soil salinity is analyzed by Universal Kriging, Spectral Index Regression and Regression-Universal Kriging. Our results show that apparent soil electrical conductivity (EC_(1:5)) is significantly correlated with salinity, therefore, EC_(1:5) can be used as a surrogate for salt content. The correlation coefficient between apparent electrical conductivity (EM38) and EC_(1:5) is significance at P<0.01, indicates EC_(1:5) can be estimated with multiple regression equation using EM_V and EM_(H) as independent variables. Soil electrical conductivity in dry and wet seasons in the study region shows strong spatial autocorrelation. Considering the scale dependency of spatial variation, the nested spherical models are fitted for semi-variance of top soil (0-10cm). Regression-Universal Kriging is identified as the best method in terms of the accuracy of predicting spatial variability of soil salinity. We conclude that this study may provide a theoretical reference for rapid and accurate assessment of soil salinity and prevention of soil re-salinization.
中文关键词	遥感 ; 土壤盐渍化 ; 干湿季节 ; 渭干河-库车河三角洲绿洲 ; 空间变异性
英文关键词	EM38 remote sensing EM38 soil salinization dry and wet seasons the delta oasis of Weigan-Kuqa watershed spatial variability
语种	中文
国家	中国
收录类别	CSCD
WOS类目	ECOLOGY
WOS研究方向	Environmental Sciences & Ecology
CSCD记录号	CSCD:4933853
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/230021
作者单位	新疆大学资源与环境科学学院, 绿洲生态教育部重点实验室, 乌鲁木齐, 新疆 830046, 中国
推荐引用方式 GB/T 7714	姚远,丁建丽,雷磊,等. 干湿季节下基于遥感和电磁感应技术的塔里木盆地北缘绿洲土壤盐分的空间变异性[J]. 新疆大学,2013,33(17):5308-5319.
APA	姚远,丁建丽,雷磊,江红南,张芳,&牛涛.(2013).干湿季节下基于遥感和电磁感应技术的塔里木盆地北缘绿洲土壤盐分的空间变异性.生态学报,33(17),5308-5319.
MLA	姚远,et al."干湿季节下基于遥感和电磁感应技术的塔里木盆地北缘绿洲土壤盐分的空间变异性".生态学报 33.17(2013):5308-5319.