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天津市滨海新区土壤水盐空间变异分析
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  • 英文篇名:Spatial variation analysis of soil moisture and salinity in Tianjin Binhai New Area
  • 作者:杨晓潇 ; 王秀兰 ; 王计平 ; 范晨晨 ; 李慧杰
  • 英文作者:YANG Xiaoxiao;WANG Xiulan;WANG Jiping;FAN Chenchen;LI Huijie;Beijing Key Laboratory of Precision Forestry,Beijing Forestry University;Research Center of Saline and Alkali Land of State Forestry Administration,Chinese Academy of Forestry;
  • 关键词:土壤盐分 ; 土壤水分 ; 地统计学 ; 空间变异 ; 土地利用 ; 滨海新区
  • 英文关键词:soil salinity;;soil moisture;;geostatistics;;spatial variation;;land use;;Binhai New Area
  • 中文刊名:STBC
  • 英文刊名:Science of Soil and Water Conservation
  • 机构:北京林业大学北京林业大学精准林业北京市重点实验室;中国林业科学研究院国家林业局盐碱地研究中心;
  • 出版日期:2019-06-15
  • 出版单位:中国水土保持科学
  • 年:2019
  • 期:v.17
  • 基金:中国林科院基本科研业务费专项资金:“渤海湾不同用地土壤土壤水盐变异与景观优化调控”(CAFYBB2017MB038);“‘京津冀’盐碱地生态修复与治理技术集成研究”(CAFYBB2017ZA007-3)
  • 语种:中文;
  • 页:STBC201903006
  • 页数:9
  • CN:03
  • ISSN:10-1449/S
  • 分类号:43-51
摘要
天津市滨海新区土壤盐渍化问题突出,掌握土壤水盐分异状态及其空间分布特征是土壤盐渍化防控与治理、土地资源可持续利用的基础。以天津市滨海新区作为研究区域,结合经典统计学与地统计学方法,利用GIS技术研究不同土层及不同土地利用类型土壤水盐空间变异特征及空间分布特征,旨在为滨海新区盐碱地的治理与改良、植被恢复、土地利用优化布局提供科学依据。结果表明:1)土壤盐分为强变异性,土壤水分为中等变异性,土壤水盐变异性随着土层深度的增加逐渐减弱,土壤盐分变异性大于水分。2)土壤盐分在0~20 cm土层为中等空间自相关性; 20~40 cm为强空间自相关性,各层土壤水分为强空间自相关性;随土层深度的增加,土壤水盐空间自相关性增大,土壤水分空间自相关性大于土壤盐分。3)随着土层深度的增加,土壤水盐含量增大,土壤含盐量呈整体条带状、局部斑块状分布;随着与渤海的距离增大,土壤含盐量递减。从滨海新区东北部到西南部,土壤总体含水量呈现先降低再升高的趋势。4)不同土地利用类型中,土壤水盐纵向变化趋势与区域整体保持一致。
        [Background]As the economic center of the Bohai Bay region,Tianjin Binhai New Area has the problem of soil salinization,which is outstanding. It is one of the factors restricting its sustainable development of social economy and ecological environment construction. Understanding the state of soil moisture and salinity differentiation and its spatial distribution are the basis for soil prevention and sustainable use of land resources. It is of great significance to carry out research on soil salinization in Binhai New Area,Therefore,The paper takes Tianjin Binhai New Area as the study area. [Methods]The paper used GF-1 as the data source and obtained the land use types of the study area by the method of supervised classification. Soil samples of 0-20 cm and 20-40 cm in the study area were obtained from field investigation and the data of soil moisture and salinity were obtained through laboratory analysis. The paper combined classical statistics with geostatistics and GIS technology to study spatial variability and spatial distribution of soil moisture and salinity in different soil depth and land use types.[Results] 1) Soil salinity content showed a great variability and soil moisture showed a moderate variability in each soil layer. With soil depth increasing,the variability of soil moisture and salinity gradually decreased. Soil salinity variability was greater than soil moisture. 2) Soil salinity showed moderate spatial relation in the depth of 0-20 cm soil layer and strong spatial relation in 20-40 cm soli layer. Soil moisture showed strong spatial relation. With the increase of soil depth,the spatial correlation of soil moisture and salinity increased. The spatial correlation of soil moisture was greater than soil salinity. 3) As soil depth increasing,soil salinity and moisture content increased. The soil salinity decreased from northeast to southwest,showing a spatial distribution of strips and local patches. With the distance from the Bohai Sea increasing,the soil salinity decreased. From the northeastern to the southwest,the overall soil moisture content decreased first and then increased. [Conclusions] The spatial variability of soil salinity in the study area is greater than soil moisture and the variability is strengthened with the increase of soil depth. The vertical trend of soil moisture and salinity is consistent with the overall area in different land use. The results can provide theoretical basis for improvement of saline-alkali land、vegetation restoration and land use optimization in Binhai New Area.
引文
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