基于改进PCA法在水资源承载力中的应用

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英文篇名：Application of improved PCA method in the bearing capacity of water resources 作者：望开发 英文作者：WANG Kai-fa;Sandouping Water Conservancy Management Station,Yiling District, Yichang City; 关键词：水资源承载力 ; 改进主成分分析法 ; 评价指标 ; 对比分析 英文关键词：water resource carrying capacity;;improved principal component analysis;;index system;;comparative analysis 中文刊名：水科学与工程技术 英文刊名：Water Sciences and Engineering Technology 机构：宜昌市夷陵区三斗坪水利管理站; 出版日期：2019-08-25 出版单位：水科学与工程技术 年：2019 期：04 语种：中文; 页：44-48 页数：5 CN：13-1348/TV ISSN：1672-9900 分类号：TV213.4

摘要

针对水资源承载力多因素复杂性和不确定性等影响,在原始数据标准化计算基础上,避免算法差异性和局限性,通过改进主成分分析法,均值化取代标准化计算,以湖北省2013～2017年连续水平年为例,从水资源、社会经济、生态环境等方面选取14个代表性指标中计算得到影响全省水资源承载力变化的2个主因子,综合得分评价出全省近5年的水资源承载力状况变化。结果表明,全省水资源承载力呈现上升趋势,2016年出现细微波动,说明改进算法相比于传统主成分算法具有明显的降维作用,提高了第一主成分因子的方差贡献率,全面保留了原始数据的相关综合信息,通过验证说明改进算法运用到水资源承载力计算中是合理可靠的,进一步提高了计算效率。
        In view of the multi-factor complexity and uncertainty of water resources carrying capacity, based on the original data standardization calculation, avoiding the difference and limitation of the algorithm, by improving the principal component analysis method, the mean is replaced by the standardized calculation, Taking the continuous horizontal year of Hubei Province 2013-2017 as an example, the two main factors affecting the change of water resources carrying capacity of the whole province are calculated from 14 representative indicators of water resources, social economy and ecological environment. The comprehensive score is estimated to be nearly 5 in the province. Year's change in water resources carrying capacity. The results show that the water resources carrying capacity of the province is on the rise, and fine microwaves appear in 2016, indicating that the improved algorithm has obvious dimensionality reduction compared with the traditional principal component algorithm, and improves the variance contribution rate of the first principal component factor. The comprehensive information about the original data proves that the improved algorithm is applied to the calculation of water resources carrying capacity and is reasonable and reliable, which further improves the calculation efficiency.

引文

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