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中国农学通报 ›› 2021, Vol. 37 ›› Issue (5): 38-42.doi: 10.11924/j.issn.1000-6850.casb2020-0070

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

宁夏银北灌区盐碱地盐渍化特征分析

郭军成(), 王明国, 耿荣, 李欣, 尹学红, 魏固宁   

  1. 宁夏回族自治区农业技术推广总站,银川 750001
  • 收稿日期:2020-05-06 修回日期:2020-07-27 出版日期:2021-02-15 发布日期:2021-02-25
  • 作者简介:郭军成,1986年出生,男,宁夏盐池人,农艺师,硕士,主要从事土壤改良培肥技术研究。通信地址:750001 银川市兴庆区北京东路289号,Tel:0951-6723348,E-mail: gjc911@qq.com
  • 基金资助:
    宁夏回族自治区青年拔尖人才专项;宁夏回族自治区财政专项“银北地区百万亩盐碱地农艺改良项目”

Salinity Characteristics Analysis of Saline Alkali Soil in Yinbei Irrigation District of Ningxia

Guo Juncheng(), Wang Mingguo, Geng Rong, Li Xin, Yin Xuehong, Wei Guning   

  1. Ningxia Agricultural Technology Extension Station, Yinchuan 750001
  • Received:2020-05-06 Revised:2020-07-27 Online:2021-02-15 Published:2021-02-25

摘要:

研究旨在探明宁夏银北灌区盐渍化危害主要离子,为盐渍化耕地改良提供科学依据。采用相关分析法和主成分分析法,对银北灌区土壤盐渍化特征开展研究。结果表明:宁夏银北地区春季土壤盐分表聚特征明显,盐分离子空间差异性强;0~20 cm土壤中,全盐量与SO42-、Cl-、Ca2+、Mg2+、Na+和K+极显著相关,对土壤产生危害的主要离子是Cl-、Na+、Mg2+,盐渍类型是以氯化型盐渍土为主;20~50 cm土壤全盐量与K+、Cl-、SO42-具有极显著强相关,K+、Cl-、SO42-是主要危害盐离子,土壤的盐渍土类型是以氯化型盐渍土和硫酸型盐渍土为主。

关键词: 宁夏银北, 盐碱地, 盐渍化特征, 相关分析, 主成分分析

Abstract:

To find out the main ions of salinization in Yinbei irrigation area of Ningxia, soil salinization characteristics were studied to provide a theoretical basis for improving salinized farmland. The method of correlation analysis and principal component analysis were used. The results showed that the surface accumulation was obvious in spring, and had strong spatial difference. The total salt content had a significant correlation with SO42-, Cl-, Ca2+, Mg2+, Na+ and K+ in 0-20 cm of the soil depth, the main harmful ion was Cl-, Na+and Mg2+, and the type of salinization was mainly chlorinated salinized soil. The total salt content had a significant correlation with K+, Cl- and SO42-, which were also the main harmful ions in 20-50 cm soil, and the type of salinization was mainly chlorinated salinized soil and sulfuric acid saline soil.

Key words: Yinbei irrigation district of Ningxia, saline alkali land, salinity characteristics, correlation analysis, principal component analysis

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