基于电磁感应的典型干旱区土壤盐分时空变异快速诊断
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家公益性行业(农业)科研专项经费项目(200903001)、国家自然科学基金资助项目(40771097)、新疆自治区科技攻关重点课题(200733144-1)和中国科学院知识创新工程重大资助项目(KSCX1-YW-09)


Rapid Diagnosis of Soil Salinity Temporal-spatial Variances Based on Electromagnetic Induction in a Typical Arid Area
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    选取南疆典型干旱区研究其土壤盐分时空变异,在研究区域选取校正点测定表观电导率(ECa),并同时采集土壤样品,研究表明土壤盐分含量与大地表观电导率具有良好相关性(R=0.935),可由此建立土壤盐分电磁感应解译模型。构建移动式磁感调查系统对研究区域进行调查,获取足量表观电导率信息,结合GIS和地统计等相关知识研究土壤盐分的空间异质性。经过不同年份、不同季节的调查实现时空变异的快速诊断。结果表明,研究区域存在严重的盐渍化问题,且存在秋季盐渍化重于春季,2009年重于2008年的趋势。

    Abstract:

    A typical arid area in South Xinjiang was selected to study the temporal-spatial variances of soil salinity. Calibration sites were selected in the study area. Apparent electrical conductivities (ECa) were measured, and soil samples were collected in the calibration sites. The results showed there was a good correlation between soil salt content and the apparent electrical conductivity, so the interpretation model for soil salinity could be established. A mobile electromagnetic induction survey system was constructed to survey the study area with enough ECa data collected. The spatial variance could be studied with GIS and geo-statistics knowledge, and the temporalspatial variances could be rapid diagnosed by EM surveys over different times. The results showed serious salinization exited in the study area, and salinization in autumn was worse than that in spring, salinization in 2009 was more serious than that in 2008. 

    参考文献
    相似文献
    引证文献
引用本文

李晓明,杨劲松,刘广明,刘梅先,姚荣江.基于电磁感应的典型干旱区土壤盐分时空变异快速诊断[J].农业机械学报,2011,42(5):79-85. Li Xiaoming, Yang Jingsong, Liu Guangming, Liu Meixian, Yao Rongjiang. Rapid Diagnosis of Soil Salinity Temporal-spatial Variances Based on Electromagnetic Induction in a Typical Arid Area[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(5):79-85

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期:
  • 出版日期: