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机构地区:[1]宁夏大学土木与水利工程学院,宁夏银川750021 [2]宁夏节水灌溉与水资源调控工程技术研究中心,宁夏银川750021
出 处:《人民黄河》2013年第2期64-66,共3页Yellow River
基 金:水利部公益性行业科研专项(200901074)
摘 要:为了探究好水川流域坡面产流产沙规律,以该流域11个观测点的土壤含水量、土壤渗透系数和土壤容重数据为基础,通过极差法对数据进行标准化处理,运用模糊聚类分析模型对坡面11个土壤观测点进行聚类分析。结果表明:流域土壤观测点可分为7个种类,聚类分析可直观地再现流域坡面土壤的差异性,有效提高坡面土壤的观测效率。In order to explore the rule of slopes-runoff and sediment in Haoshuichuan watershed, the moisture, percolation coefficient and bulk den- sity of soil were tested as the basic data. Then the data were normalized through the range method. Lastly, the 11 observation points were clustered by means of fuzzy cluster model. It is indicated that the points can be clustered into 7 classes. The analysis results can embody the otherness of the slopes soil intuitively. Meanwhile, the observation efficiency can be increased substantially.
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