摘要
在污染治理成本法确定生态补偿标准已有研究的基础上,对大样本重叠数据进行最佳聚类分析,以聚类后的样本数据建立拟合曲线模型,并对建立的模型方程进行统计检验,通过统计检验的方程确定为核算生态补偿标准的模型方程。同时,以河南省辖淮河流域63座城市污水处理厂数据进行实证分析,在确定最佳聚类分组后,采用SPSS软件进行曲线拟合,并对拟合的方程进行检验和选择,最终确定生态补偿标准。
Ecological compensation standard was usually determined by the cost of pollution control. On the basis of the existing research data, the optimal cluster method was used to analysis the overlapping data of large sample. Then, curve model between pollution control cost and ecological compensation standard was built base on these cluster data, and statistical test was performed on the established models. The curve equation through statistical test was determined as model for calculation the ecological compensation standard. The data from 63 urban sewage treatment plants in Huaihe River Basin of Henan province was used for empirical analysis of model equations. After determining the best clustering grouping, the curve model was fitted by SPSS software, after that, the ecological compensation standard was finally obtained through the equation inspection and selection.
出处
《环境污染与防治》
CAS
CSCD
北大核心
2013年第4期95-98,共4页
Environmental Pollution & Control
基金
淮河流域水体污染控制与治理决策支撑关键技术研究及综合管理平台构建课题(No.2008ZX07010-10)
关键词
最佳聚类
方程检验
生态补偿标准
the best clustering
equation inspection
ecological compensation standard
