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机构地区:[1]中国科学院南京土壤研究所
出 处:《灌溉排水学报》2010年第4期56-58,共3页Journal of Irrigation and Drainage
基 金:中国科学院知识创新工程重要方向性项目(KZCX2-YW-406-3,4);中国科学院知识创新工程重大项目(KSCX1-YW-09);国家科技支撑计划项目(2006BAD05B04);国家863计划重点大项目(2006AA10A301、2006AA100207)
摘 要:以黄淮海平原典型区域——河南封丘为例,研究耕地盐碱障碍的诊断指标,对采集样品实验室分析,获取盐碱障碍相关指标,经主成分分析提取出其2个主成分,通过主成分的二维散点图可以比较直观的把已分析样品的盐碱障碍分级分为无盐碱障碍和轻度盐碱障碍2个等级,进行判别分析获取其判别表达式。经分析可发现,判别表达式中的变量指标SAR、SSP、SDR刚好为主成分综合表达式中系数最高的3个指标。研究结果表明,可以以SAR、SSP、SDR三个指标作为研究区域盐碱障碍的评价指标,而且由于三者之间具有显著的相关性,可以进一步简化评价指标;通过不同土层深度的研究发现,各层土壤的盐碱障碍评价指标基本相似。The paper is to study the indication of diagnosing salinity-alkalinity hazard by a case study of Fengqiu County,Henan Province,which is the typical area of the Huanghuaihai Plain.The related variables factors were obtained by lab experiments,then two principle components were extracted by principle component analysis,and the samples were intuitively diagnosed "no salinity-alkalinity hazard" or "lightly salinity-alkalinity hazard",so the discriminant equations could be made.What is found by analysis is that,the three variables factors in the discriminant equations were just the factors that have highest coefficients.The result shows,the three factors,SAR,SSP,SDR,can be used to diagnose the salinity-alkalinity hazard,and because of the significant correlation among them,they can be further simplified;the Indication of diagnosing salinity-alkalinity hazard in different soil layers are almost the same by analyzing the diagnosing factors in different soil layers.
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