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Position: Home > Articles > Prediction of Salinized Soil Properties Based on the Regression Model in Arid Oasis Chinese Journal of Soil Science 2017 (6) 1312-1323

基于回归模型的渭-库绿洲土壤特性预测研究

作  者：
吐尔逊·艾山;吐热尼古丽·阿木提
单  位：
新疆师范大学地理科学与旅游学院;农业部遥感应用中心乌鲁木齐分中心;新疆维吾尔自治区农业资源区划办公室
关键词：
渭-库绿洲;土壤特征;传统统计学;一元线性回归模型;土壤电导率
摘  要：
区域土壤特性的时空变异及相互之间的关系研究,为了解区域土壤的结构和功能、保护和有效利用土壤资源提供科学依据。本研究以新疆典型盐渍化土壤-渭-库绿洲为研究靶区,利用研究区7次不同采样时间的土壤特性数据,采用传统统计学方法,对研究区土壤含盐量、电导率、TDS、pH值、含水量及主要盐基离子的特征值及土壤盐渍化程度进行分析,同时,对不同采样时期表层土壤电导率与含盐量、矿化度、主要盐基离子、含水量及pH值的变化进行一元线性回归分析。结果表明,研究区土壤pH值相对稳定;土壤含盐量具有不均匀分布特征;研究区土壤含盐量略有往加重方向发展,盐分具有强烈表聚性;研究区土壤中硫酸盐、氯化物在表层积聚相对强烈;土壤盐渍化类型是属于氯化物型。绝大部分采样时间,电导率与矿化度、含盐量之间所建立的回归模型的拟合效果较好,这表明用电导率值测定研究区总盐分浓度及矿化度是可行的。土壤电导率与土壤含水量、pH值之间所建立的回归模型的拟合效果不好,土壤电导率与土壤盐基离子之间的回归模型拟合效果也不好。这表明土壤电导率来反映土壤pH值、含水量以及盐基离子浓度是不准确的。
译  名：
Prediction of Salinized Soil Properties Based on the Regression Model in Arid Oasis
作  者：
TURSUN·Hasan;TURANGUL·Hamut;Xinjiang Agricultural Resources and Regional Planning Office;Urumqi Branch Remote Sensing Application Center,Ministry of Agriculture;College of Geographic Science and Tourism,Xinjiang Normal University;
关键词：
Ugan-Kucha oasis;;Soil property;;Traditional statistics;;One variation linear regression model;;Soil electrical conductivity
摘  要：
This research studied the spatio-temporal variability of soil properties and their relationships,in order to provide scientific basis for better understanding the soil structure and function,protecting and utilizing soil resources.In this study,the typical saline soil in Xinjiang-Ogan-Kucha oasis was taken as the study area,the characteristic values of soil salinity,electrical conductivity,total dissolved solids(TDS),pH value,soil moisture content,main base ions and soil salinization degrees were analyzed by using traditional statistical methods based on soil data sampled at seven different times.At the same time,one variation linear regression analysis was conducted to study the changes in electric conductivity,salt content,mineralization degree,the main base ions,moisture content and pH values of surface soil sampled at different times.The results showed that soil pH value in the study area was relatively stable.The distribution of soil salt content was uneven.Soil salinity presented the trend of slight deterioration,and salt was strongly accumulated in surface soil.Soil sulfates and soil chlorides were strongly accumulated in surface soil.Soil salinity belonged to chloride type.The fitting effects of the regression modeling of soil electric conductivity with mineralization degree and salinity were relatively good.This indicated that soil electric conductivity was feasible to determine total salt concentration and mineralization degree.The fitting effects of the regression modeling of soil electric conductivity with water content,soil pH value as well as main base ions were poor.This indicated that soil electrical conductivity was not accurate to reflect soil pH value,water content and main base ions.

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