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伊犁新垦区土壤全盐量和电导率定量关系探讨
引用本文:许尔琪,张红旗,许咏梅.伊犁新垦区土壤全盐量和电导率定量关系探讨[J].资源科学,2012,34(6):1119-1124.
作者姓名:许尔琪  张红旗  许咏梅
作者单位:1. 中国科学院地理科学与资源研究所,北京100101 中国科学院研究生院,北京100049
2. 中国科学院地理科学与资源研究所,北京,100101
3. 新疆农业科学院土壤肥料与农业节水研究所,乌鲁木齐,830091
基金项目:国家自然科学基金(编号:41071065);新疆科技援疆项目(编号:201191140)。
摘    要:土壤含盐量和电导率是调查评价土壤盐渍化程度的两种指标,进行两者关系的定量探讨是解决土壤盐渍化快速诊断问题的前提。本文以伊犁新垦区为例,采用传统的一次函数、二次函数和分段函数等对土壤含盐量和电导率关系进行回归拟合,同时应用土地利用类型、植被类型和土壤类型等环境因子作为辅助数据对两者进行分区线性拟合,并分析比较两种方法的优劣。结果表明,随着全盐量的增加,土壤全盐量和电导率呈现一定的非线性关系,以土壤全盐量为阈值的分段函数拟合效果优于一次函数和二次函数,其RMSE小于后两者;以土地利用类型作为辅助数据进行的分组拟合结果优于植被类型和土壤类型的效果,也略优于分段函数的拟合精度。该方法在宏观尺度上为快速、精确获取土壤盐分状况提供帮助。

关 键 词:土壤全盐量  土壤电导率  回归拟合  环境因子
修稿时间:5/4/2012 12:00:00 AM

The Quantitative Relationship between Soil Salt Content and Electrical Conductivity Based on Environmental Factors in Newly Reclaimed Area in Yili
XU Erqi,ZHANG Hongqi and XU Yongmei.The Quantitative Relationship between Soil Salt Content and Electrical Conductivity Based on Environmental Factors in Newly Reclaimed Area in Yili[J].Resources Science,2012,34(6):1119-1124.
Authors:XU Erqi  ZHANG Hongqi and XU Yongmei
Institution:Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Graduate University of Chinese Academy of Sciences, Beijing 100049, China;Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;Institute of Soil and Fertilizer, Xinjiang Academy of Agricultural Sciences, Urumchi 830091, China
Abstract:Soil salt content and electrical conductivity are two indicators for the investigation and evaluation of soil salinization.In macro scale,the quantitative study of the relationship between them is the premise of solving the rapid diagnosis problems of soil salinization.Previous studies all improve the prediction accuracy of soil salt content with nonlinear functions of mathematical statistical methods.However,the environmental factors related to soil properties are ignored.As for this paper,with the newly reclaimed area in Yili,located in semi-arid region and consisting of four irrigated regions as the case study,227 soil samples were collected from 67 soil profiles in 2008 and the soil salt content and electrical conductivity were measured.Firstly,we fit the relationship between soil salt content and electrical conductivity by the linear function,quadratic function and piecewise function.At the same time,we carried out partition linear fit for them by taking some environmental factors including land use types,vegetation types and soil types as the auxiliary data,and compared their advantages as well as disadvantages.The results show that with the increase of total soil salt content,it presents a certain non-linear relationship with electrical conductivity.Based on mathematical statistical methods,the fitting effect of piecewise function which takes the total salt content as the threshold value is better than that of linear function and quadratic function,but its RMSE is less than that of the latter two;the results of partition fitting with land use types as auxiliary data are better than those of the other two environmental factors,and its accuracy is also slightly better than that of the piecewise function.Besides,the RMSEs of fitting results with soil types and plant types asauxiliary data are higher than the piecewise function ’s and their predicted values of soil salinity content are the closest to measured values.To sum up,land use is both an important symbol of human activities and a comprehensive reflection of soil surface conditions,the method with soil types and plant types as auxiliary data so it can help get the soil salt conditions quickly and accurately in macro scale,but cannot imporve the predicted precision.
Keywords:Total soil salt content  Soil electrical conductivity  Regression fit  Environmental factors
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