人民黄河Issue(3)：52-57,6.DOI:10.3969/j.issn.1000-1379.2014.03.018
基于联系数的安徽省抗旱能力综合评价模型
Evaluation of District Drought Resistance Ability Based on Connection Number
摘要
Abstract
In order to establish an evaluation index system and grade standards of district drought resistance ability reasonably,an effective quantita-tive evaluation model was built at a random and fuzzy uncertainty factors. The Fuzzy analytic hierarchy process based on Accelerating Genetic Algo-rithm and the coefficient variation method were used separately to calculate the subjective and objective weights of indicators. And the comprehensive drought resistance ability evaluation model based on coefficient number was built. The drought resistance ability of districts was expressed by EM-CN model through three levels of the samples,subsystems and indicators. And the evaluation results were supplemented and verified by Confidence Cri-terion. EM-CN model was applied to drought-resistance ability evaluation for 17 cities of Anhui Province in the year of 2007,and proposals were made on the basis of analyzing evaluation results to improve Anhui drought-resistance ability. The results show that:a)improving efficiency of agri-cultural water consumption and optimizing planting patterns are effective ways to enhance the drought resistance ability of Anhui Province;b)devel-opment of the ability should be under the guidance of science and in proper ways. In the short time,the project and non-project capacity of drought resistance should be strengthened further more,in the long time,improve the scientific and technological level and the role of ecosystem in drought resistance construction to realize person and natural harmonious coexist.关键词
综合评价/联系数/集对分析/加速遗传算法/抗旱能力/安徽省Key words
comprehensive evaluation/coefficient numbers/set pair analysis/accelerating genetic algorithm/drought resistance ability/Anhui Province分类
建筑与水利引用本文复制引用
欧阳蔚,于艳青,金菊良,周玉良,郦建强,徐勇俊..基于联系数的安徽省抗旱能力综合评价模型[J].人民黄河,2014,(3):52-57,6.基金项目
水利部公益性行业科研专项（201001043）；国家自然科学基金资助项目（71273081，51109052）；水利部重大基建前期项目；中国气象局成都高原气象开放实验室基金资助项目（LPM2011002）。 （）
