摘要
掌握土壤盐渍化多维空间分布特征,分析盐渍化风险影响因素,实行风险区域分区管控,提升盐碱土利用效率。以山东省东营市河口区黄河故道流域为研究区,采用经典统计学方法对土壤盐渍化状况进行描述性统计,基于GIS插值对研究区盐渍化的二维空间分布格局进行分析,运用GMS三维反距离权重插值可视化分析盐分三维空间分布及其变化趋势,构建土壤盐渍化风险评价模型定量分析其风险程度。结果表明:研究区土壤含盐量均值为5.84 g·kg^(-1),整体属于重度盐渍化,pH均值为7.82,呈弱碱性;二维空间上,土壤含盐量高值区域(≥6 g·kg^(-1))主要分布于研究区北部,整体呈现从沿海向内陆降低的趋势,土壤盐分与pH分布趋势整体呈负相关;三维空间上,土壤盐分剖面分布特征整体以均质型为主,局部存在表聚、两端集聚,呈表聚型、均质型、两端集聚型三种类型共存的复杂特征;盐渍化风险程度分为4级,极高风险区域主要分布于研究区中北部、东北部;高风险区域主要分布在研究区中部及东北部区域,中风险区域主要分布在研究区西部、东南部,低风险区域主要分布于研究区西南部。应预防极高风险区、控制高风险区、改良中低风险区,以最大程度减轻盐渍化风险危害。
【Objective】This study aimed to grasp the multidimensional spatial distribution characteristics of soil salinization,analyze the factors influencing salinization risk,implement risk area zoning control and improve the efficiency of saline land use.【Method】In this study,the Yellow River old riverway in Hekou District,Dongying City,Shandong Province,was selected as the study area.Descriptive statistics on soil salinization status were conducted using classical statistical methods,the two-dimensional spatial distribution pattern of salinization in the study area was analyzed based on GIS interpolation,the three-dimensional spatial distribution of salinity and its change trends were visualized using GMS three-dimensional inverse distance weight interpolation,and a soil salinization risk evaluation model was constructed to quantitatively analyze the risk.【Result】The results show that the average salinity of the soil in the study area was 5.84 g·kg^(-1),representing severe salinization;and the average pH value was 7.82,indicating weakly alkaline.In two-dimensional space,the areas with high salinity(≥6 g·kg^(-1))were mainly located in the north of the study area,and the overall trend was decreasing from the coast to the inland.In three-dimensional space,the distribution characteristics of the soil salinity profile were mainly homogeneous,with local surface aggregation and clustering at both ends,showing a complex coexistence of three types:surface aggregation,homogeneous,and clustering at both ends.The risk degree of salinization was divided into four levels and the extremely high-risk areas were mainly distributed in the north-central and northeast of the study area.Also,high-risk areas were mainly distributed in the middle and northeast,moderate-risk areas in the west and southeast,and low-risk areas in the southwest of the study area.【Conclusion】We recommend that the following measures should be employed to minimize the risk of salinization and improve the efficiency of resource utilization:prevent
作者
宋颖
徐帻欣
王佳凡
高明秀
SONG Ying;XU Zexin;WANG Jiafan;GAO Mingxiu(College of Resources and Environment,Shandong Agricultural University,Tai'an,Shandong 271018,China;National Engineering Research Center for Efficient Utilization of Soil and Fertilizer Resources,Tai'an,Shandong 271018,China)
出处
《土壤学报》
CAS
CSCD
北大核心
2024年第2期372-384,共13页
Acta Pedologica Sinica
基金
山东省自然科学基金项目(ZR2021MD018)
国家重点研发计划子课题(2021YFD190090101)
山东省农业科技园区产业提升工程项目(2019YQ014)资助。
关键词
土壤盐渍化
空间特征
多维分析
风险评价
黄河故道
Soil salinization
Spatial characteristics
Multidimensional analysis
Risk assessment
The Yellow River old riverway
