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基于光谱指数的区域土壤盐分三维空间变异研究
  • ISSN号:1000-0593
  • 期刊名称:《光谱学与光谱分析》
  • 时间:0
  • 分类:S127[农业科学—农业基础科学]
  • 作者机构:[1]土壤与农业可持续发展国家重点实验室(中国科学院南京土壤研究所),江苏南京210008, [2]安徽工业大学,安徽马鞍山243002
  • 相关基金:国家自然科学基金项目(41171178),公益性行业(农业)科研专项经费项目(200903001);公益性行业(海洋)科研专项经费项目(201105020)资助
中文摘要:

为揭示中原黄泛区土壤盐分三维空间分布特点,以河南省封丘县为研究区域,综合应用土壤采样数据与遥感影像数据,利用光谱指数法与三维反距离权重法(IDW)对三维土壤盐分空间变异特征进行了解析与评价,显著提升了区域土壤盐分的三维预测精度。研究区域土壤电导率变异系数在0.218-0.324之间,属中等变异强度;各层土壤电导率的平均值在0.121-0.154ds·m-1之间,土壤盐分高值区主要分布在天然渠与黄河沿线区域,研究区盐渍土剖面类型属“底聚型”,即随着深度增加土壤盐分含量逐渐增大,呈现底土积盐的趋势;该研究表明应用以光谱指数数据为基础的三维IDW方法对区域土壤盐分三维特征进行解析可以达到较高精度。该研究为中原黄泛区盐渍障碍耕地的治理利用提供了可靠技术方法。

英文摘要:

In order to illustrate the three-dimension spatial variability of soil salinity in central China flood area of the Yellow riv- er, integrated soil sampling data and remote sensing data, spectral indices and inverse distance weighting (IDW) method were applied to the estimation and simulation of three-dimension spatial distribution of soil salinity. The study was carried out in typi- cal central China flood area of the Yellow river in Fengqiu County, Henan Province, China. The electrical conductivity of the saturation extract (EC1. s ) of 505 soil samples collected at 101 points was measured. The results indicated that the coefficient of variation of soil salinity at each soil layer is from 0. 218 to 0. 324 and exhibited the moderate spatial variability. The average of soil electrical conductivity is from 0. 121 to 0. 154 ds . m-1. The 2 820 three-dimension spatial scattered data for soil electrical conductivity were taken at soil salinity mapping interpreted by spectral indices and soil electrical conductivity. Three-dimension IDW interpolation showed that a large area of high soil salinity mainly located in the region of Tianran canal and the along of the Yellow river. The shape of the soil salinity profile was downward flowed, revealing soil salinity increasing with depth in whole soil profile and soil salinity accumulated in the subsoil. The accuracy of the predictions was tested using 20 soil sampled points. The root mean square error (RMSE) of calibration for three-dimension distribution of soil salinity showed that the IDW method based on spectral indices was ideal. The research results can provide theoretical foundations to the management and utilization of salt-affected land in China flood area, especially in the Yellow river zone.

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期刊信息
  • 《光谱学与光谱分析》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国光学学会
  • 主编:高松
  • 地址:北京海淀区魏公村学院南路76号
  • 邮编:100081
  • 邮箱:chngpxygpfx@vip.sina.com
  • 电话:010-62181070
  • 国际标准刊号:ISSN:1000-0593
  • 国内统一刊号:ISSN:11-2200/O4
  • 邮发代号:82-68
  • 获奖情况:
  • 1992年北京出版局编辑质量奖,1996年中国科协优秀科技期刊奖,1997-2000获中国科协择优支持基础性高科技学术期刊奖
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,美国生物医学检索系统,美国科学引文索引(扩展库),英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),英国英国皇家化学学会文摘,中国北大核心期刊(2000版)
  • 被引量:40642