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基于地理加权回归的莱州湾南岸土壤盐渍化与环境因子的关系研究
投稿时间:2017-12-10  修订日期:2018-07-17  点此下载全文
引用本文:蒙永辉,王集宁.2018.基于地理加权回归的莱州湾南岸土壤盐渍化与环境因子的关系研究[J].地质论评,64(5):1180-1189
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作者单位E-mail
蒙永辉 山东省地质环境监测总站济南250014 mengyonghui1122@126.com 
王集宁 山东省地质环境监测总站济南250014  
基金项目:本文为山东省国土资源厅地质勘查项目(鲁勘字\[2011\]14号)资助项目的成果。
中文摘要:选取莱州湾南岸为研究区域,系统采集了111个表层土壤样品,测定了土壤全盐量以及K+、Na+、Ca2+、Mg2+、Cl-、SO2-4、HCO-3和CO2-3等8种土壤盐分离子的含量,运用多元统计分析以及地理加权回归模型等方法,分析了莱州湾南岸土壤盐渍化的影响因素。结果表明:①研究区土壤以盐土为主,Cl-的浓度和变异系数远远高于其他盐分离子,在土壤表层的累积十分显著,氯化物在土壤中最为活跃。②土壤含水率、土壤干容重、土壤有机质、植被覆盖率与土壤盐渍化程度之间出现了高相关性,拟合精度高。③气温、降水、地下水埋深、地下水矿化度表现出中等相关性,拟合精度较高。④数字高程模型(DEM)、高差、土壤粒度、土壤pH表现了一般相关性,拟合精度一般。
中文关键词:莱州湾南岸  土壤盐渍化  多元统计  地理加权回归模型  耦合度模型
 
Study on Influencing Factors of Soil Salinity in South Coast of Laizhou Bay,Shandong, Based on Geographically Weighted Regression Model
NameInstitution
MENG YonghuiShandong GeologicalEnvironmental Monitoring Station,Jinan,250014
WANG JiningShandong GeologicalEnvironmental Monitoring Station,Jinan,250014
Abstract:The south bank of Laizhou bay was selected as the research area,the total salt content of soil was determined and 111 surface soil samples systematically,the contents of K+,Na+,Ca2+,Mg2+,Cl-,SO2-4,HCO-3 and CO2-3 were analyzed,and the contents of salt ions were measured. The influencing factors of soil salinization on the south bank of laizhou bay were analyzed by means of multivariate statistical analysis and geographically weighted regression model. The results showed that: the soil in the study area was dominated by salt soil,and the concentration and variation coefficient of Cl- were much higher than that of other salt ions. The accumulation of soil surface was very significant,and the most active chloride was in the soil; Soil moisture content,dry bulk density,soil organic matter,vegetation coverage and soil salinization degree were highly correlated,and the fitting accuracy was high; There is a moderate correlation between temperature,precipitation,groundwater depth and groundwater salinity,and the fitting accuracy is high; DEM(digital elevation model),height difference,soil particle size and soil pH showed a general correlation,and the fitting accuracy was general.
keywords:Laizhou Bay south bank  soil salinization  multivariate statistics  geographically weighted regression model  coupling degree model
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