干旱区生态环境知识资源中心(Arid): 新疆克里雅绿洲地下水与表层土壤特征的最优插值

Arid

	新疆克里雅绿洲地下水与表层土壤特征的最优插值
其他题名	Optimal Interpolation Methods for Characteristics of Shallow Groundwater and Topsoil in the Keriya Oasis,Xinjiang
	卢龙辉; 瓦哈甫·哈力克; 彭菲; 张琴琴; 袁玉芸
来源期刊	干旱区研究
ISSN	1001-4675
出版年	2017
卷号	34 期号:6 页码:1304-1312
中文摘要	选择合适的插值预测模型对揭示干旱区绿洲地下水与表层土壤特征空间变化特征具有重要意义。根据克里雅绿洲实测地下水(埋深、电导率、水温)与表层土壤(含水率、电导率、土温)数据,系统评价不同空间插值方法(RBF、IDW、Ordinary Kriging)对不同特征预测精度的影响。结果表明:克里雅绿洲区域地下水埋深主要在3 m以下,电导率在5 mS·cm ~(- 1)以下,温度在15 ℃以下;表层土壤含水量主要在0.5以下,电导率在2.5 mS·cm ~(- 1)以下,温度在13 ℃以下。地下水埋深采用RBF插值的精度较高,电导率采用IDW的精度较高,水温采用RBF的精度较高;表层土壤含水率采用Kriging插值的精度较高,电导率采用RBF的精度较高,土温采用RBF的精度较高;除土壤含水率外,其余指标采用对数转化后插值精度较高。
英文摘要	Shallow groundwater is an important basis for the survival of arid crops and natural vegetation,and the change of parameters of shallow groundwater (such as depth, salinity and temperature) results in the change of relevant topsoil characteristics (such as moisture content, salinity and temperature). The changes of shallow groundwater and topsoil thereby affect the growth of arid natural vegetation and the stability of artificial oasis system. Therefore, shallow groundwater and topsoil are the significant factors affecting the spatial pattern of vegetation in arid area. It is very crucial to explore and predict the spatial distribution of shallow groundwater and topsoil,and to provide the reference for the research about ecological and economic problems. At present, the research of previous spatial interpolation methods about groundwater and topsoil characteristics focused mainly on a single index,which resulted in the negligence of the uncertainty and applicability of the spatial interpolation methods in studying the variety of groundwater and soil data. In typical arid oasis, there was yet not the comparison and systematic analysis on the suitable spatial interpolation methods for the same time but different characteristic data. It is lack of study on accurate comparison of interpolation prediction to groundwater characteristic data (such as groundwater depth,conductivity and temperature) and soil characteristic data (such as soil moisture content,conductivity and temperature). As shallow groundwater and topsoil play enormous actions in oasis stability and development,an efficient site-plane prediction model can help us to explicate the spatial distribution and change rules of shallow groundwater and topsoil in typical arid oasis,but a method fitting the special study area should be chosen. The Keriya Oasis is a typical area in arid zone. In this study, the data were derived from the site samples in the oasis,and the prediction accuracy was systematically evaluated. The parameters of shallow groundwater included the groundwater depth,electrical conductivity and temperature,and those of topsoil were moisture content,electrical conductivity and temperature. The conclusions are as follows: ① In the Keriya Oasis, the groundwater depth was under 3 m in most area and 2.33 m in average,water EC was under 5 mS·cm ~(- 1) and 3.1 mS·cm ~(- 1) in average,and water temperature was under 15 ℃ and 14.42 ℃ in average; the topsoil moisture content was under 0.5 and 0.44 in average, soil EC was under 2.5 mS·cm ~(- 1) and 0.73 mS·cm ~(- 1) in average,and soil temperature was under 13 ℃ and 12.46 ℃ in average; ② The interpolation accuracy of shallow groundwater was high when the Radial Basis Function (RBF) was used for water level,excellent when the Inverse Distance Weighted (IDW) was adopted for water EC,and powerful when RBF was applied for water temperature. The interpolation accuracy of topsoil was higher when the Ordinary Kriging (OK) was used for moisture content,excellent when RBF was adopted for soil EC,and powerful when RBF was adopted for soil temperature. Except water content,a high accuracy was gotten when the logarithmic transformed data were used. The salinization was not serous but concentrated in most of the Keriya Oasis. The spatial interpolation methods can be used to solve the problems of transform from point data to surface data. The verification revealed that it is feasible to use the geo-statistic spatial interpolation methods (RBF, IDW and Kriging) to predict the shallow groundwater and topsoil characteristics in typical arid area.
中文关键词	地下水 ; 表层土壤 ; 最优插值方法 ; 径向基函数 ; 克里雅 ; 新疆
英文关键词	shallow groundwater topsoil optimal interpolation method Radial Basis Function
语种	中文
国家	中国
收录类别	CSCD
WOS类目	MINERALOGY ; AGRICULTURE MULTIDISCIPLINARY
WOS研究方向	Mineralogy ; Agriculture
CSCD记录号	CSCD:6119901
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/2XILL650/236024
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	卢龙辉,瓦哈甫·哈力克,彭菲,等. 新疆克里雅绿洲地下水与表层土壤特征的最优插值[J]. 新疆大学,2017,34(6):1304-1312.
APA	卢龙辉,瓦哈甫·哈力克,彭菲,张琴琴,&袁玉芸.(2017).新疆克里雅绿洲地下水与表层土壤特征的最优插值.干旱区研究,34(6),1304-1312.
MLA	卢龙辉,et al."新疆克里雅绿洲地下水与表层土壤特征的最优插值".干旱区研究 34.6(2017):1304-1312.