基于联系数集对势置信区间估计的旱灾风险分析模型
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作者单位:

(1.合肥工业大学土木与水利工程学院, 安徽 合肥 230009;2.合肥工业大学水资源与环境系统工程研究所, 安徽 合肥 230009)

作者简介:

周戎星(1990—),女,博士研究生,主要从事水资源系统工程研究。E-mail:zhourx11@163.com 通信作者:崔毅(1990—),男,讲师,博士,主要从事水资源系统工程研究。E-mail:cuiyi9007@163.com

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中图分类号:

X43

基金项目:

国家自然科学基金 (52109009); 安徽省自然科学基金(2108085QE254); 安徽省高校优秀青年人才支持计划 (gxyq2020055); 中央高校基本科研业务费专项 (JZ2021HGTA0165)


Drought risk analysis model based on confidence interval estimation of connection number set pair potential
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Affiliation:

(1.School of Civil Engineering, Hefei University of Technology, Hefei 230009, China;2.Institute of Water Resources and Environmental Systems Engineering, Hefei University of Technology, Hefei 230009, China)

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    摘要:

    针对现有集对势方法难以进一步挖掘联系数中不确定性变化信息问题,提出将三元联系数减法集对势看作一个服从正态分布的随机变量,采用95%置信水平下置信区间的长度来反映不确定性大小,建立了基于联系数集对势置信区间估计的旱灾风险分析模型。以宿州市为例对构建的模型进行了验证,评价结果与现有的减法集对势、半偏减法集对势方法相一致,说明基于联系数集对势置信区间估计的旱灾风险分析模型合理有效;该模型得到的评价结果不是一个数值,而是一置信概率区间,提供了关于评价结果可靠性方面的信息,能够反映在多种不确定因素综合影响下的旱灾风险实际情况,在水资源保护系统不确定性分析评价中具有应用前景。

    Abstract:

    To solve the problem that existing set pair potential methods hardly reflect the uncertainty of connection number, it was proposed to regard the subtraction set pair potential of ternary connection number as a random variable obeying a normal distribution, with the confidence interval at 95% confidence level used to reflect the uncertainty, and a drought risk analysis model based on confidence interval estimation of connection number set pair potential was established. Suzhou City was used as an example to verify the model, and the drought risk evaluation results of Suzhou City with the proposed model are consistent with those of subtraction set pair potential and semi-partial subtraction set pair potential methods, demonstrating that the drought risk analysis model based on the confidence interval estimation of connection number set pair potentials is reasonable and effective. The evaluation result obtained with this model is not a value, but a confidence probability interval, which provides more information on the reliability of the evaluation result, and can better reflect the actual situation of drought risk comprehensively affected by a variety of uncertainties. The proposed model in this study has application prospect in uncertainty analysis and evaluation problems of water resources protection systems.

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周戎星,金菊良,崔毅,等.基于联系数集对势置信区间估计的旱灾风险分析模型[J].水资源保护,2023,39(1):73-78, 92.(ZHOU Rongxing, JIN Juliang, CUI Yi, et al. Drought risk analysis model based on confidence interval estimation of connection number set pair potential[J]. Water Resources Protection,2023,39(1):73-78, 92.(in Chinese))

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  • 收稿日期:2021-12-28
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  • 在线发布日期: 2023-01-21
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