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.
出处
《人民黄河》
CAS
北大核心
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)
关键词
土壤侵蚀
模糊理论
聚类分析
坡面产流产沙
好水川流域
soil erosion
fuzzy theory
cluster analysis
slopes-runoff and sediment
Haoshuichuan watershed
