浙江农业学报 ›› 2016, Vol. 28 ›› Issue (12): 2076-2081.DOI: 10.3969/j.issn.1004-1524.2016.12.17

• 环境科学 • 上一篇    下一篇

北方设施草甸土土壤盐分组成分析

董环, 娄春荣*, 袁兴福, 陈晓云, 何志刚   

  1. 辽宁省农业科学院 植物营养与环境资源研究所,辽宁 沈阳 110161
  • 收稿日期:2016-05-13 出版日期:2016-12-15 发布日期:2017-01-05
  • 通讯作者: 娄春荣,E-mail: lcrlys@126.com
  • 作者简介:董环(1979—),男,辽宁本溪人,满族,硕士,副研究员,从事植物营养和环境资源方面的研究。E-mail: xianyu1979@126.com
  • 基金资助:
    辽宁省科技攻关项目(2015028); 辽宁省农业科技创新团队(2014201021)

Analysis on salinity composition of northern meadow soil in greenhouse

DONG Huan, LOU Chun-rong*, YUAN Xing-fu, CHEN Xiao-yun, HE Zhi-gang   

  1. Institute of Plant Nutrition and Environmental Resources, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
  • Received:2016-05-13 Online:2016-12-15 Published:2017-01-05

摘要: 采用灰色关联度法和主成分分析法,对辽宁省海城市设施农业主产区32个代表性土壤样品盐分指标进行分析。结果表明,土壤全盐与其他盐分指标的关联度大小为:氯离子>硫酸根离子>钾离子>硝酸根离子>1/pH>钠离子>碳酸氢根离子>钙离子>镁离子。主成分分析过程中,全盐、氯离子、硝酸根离子、钾离子、1/pH及硫酸根离子对第一主成因起到主要正效应。盐分指标综合得分聚类分析结果显示,东四镇设施土壤盐分程度差异明显,大部分地区土壤盐分程度区域间相异而区域内相近。

关键词: 设施土壤, 土壤盐分, 灰色关联度, 主成分分析

Abstract: Grey correlative degree analysis and the principal component analysis were applied to study soil salinity indexes of 32 greenhouse soil samples in Haicheng City. It was shown that the sorting of grey correlative degree analysis between soil total salinity and other soil salinity indexes was as chloridion>sulfate>potassium>nitrate>1/pH>sodion>bicarbonate>calcium>magnesium. The results of principal component analysis showed that total salinity, chloridion, nitrate, potassium, 1/pH and sulfate were the main positive factors of the first principal component. The cluster analysis showed that except Dongsi Town, which varied obviously, the soil salinity within a certain area were close. But, the variation of salinity existed among different regions.

Key words: greenhouse soil, soil salinity, grey correlative degree analysis, principal component analysis

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