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机构地区:[1]中国科学院南京土壤研究所,南京210008 [2]陕西省地产开发服务总公司,西安710075 [3]南京市雨花区水利局,南京210012
出 处:《灌溉排水学报》2012年第3期93-95,共3页Journal of Irrigation and Drainage
基 金:国家公益性行业(农业)科研专项经费项目(200903001);国家自然科学基金项目(40771097);中国科学院知识创新工程重大项目(KSCX1-YW-09)
摘 要:采用不同步长研究典型干旱区土壤盐分空间变异的半方差函数参数,并对比精度进行优化选择,进而研究其空间异质性。对研究区域进行移动式磁感调查,获取大地表观电导率信息,经校正解译成土壤盐分信息,拟合不同步长下最优半方差函数,对比误差参数优选最优步长。研究结果表明,地统计插值拟合半方差函数以15m为最佳步长,具有高拟合精度;对土壤盐分空间异质性预测精度较高。Semi-variance parameters about spatial distribution of soil salinity in a typical arid area was researched with different lags,the accuracy was compared and the best lag was chose,the spatial distribution of soil salinity was researched.Mobile EM survey was operated with enough information of ECa,which could be calibrated into salinity information.A semi-variance model with different lags was fitted,and the best lag length was selected by comparing error parameters.The research result showed,15 m was the best lag length with a favorable best-fit accuracy,and the prediction of soil salinization had a good accuracy.
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