首页|期刊导航|水资源与水工程学报|基于二次减法集对势的水资源承载力评价与诊断

基于二次减法集对势的水资源承载力评价与诊断OA

Water resources carrying capacity evaluation and diagnosis based on the two-stage subtraction set pair potential

中文摘要英文摘要

水资源承载力评价是识别区域水资源承载风险并支撑差异化调控的基础.为增强集对势系统态势演变的能力,依据同一度与对立度的相对大小,动态调节差异度向确定性信息的转化比例,提出了二次减法集对势(TSSPP),并构建了区域水资源承载力评价与诊断模型.以安徽省江淮丘陵区为例的实证结果表明:2011-2022 年该区域水资源承载力总体处于临界超载状态,空间上呈显著分异,综合承载等级由高到低依次为安庆市、六安市、滁州市和合肥市;水资源承载力演变主要受承载压力与支撑力子系统共同驱动,主要障碍因子为人均日生活用水量、产水模数、人均水资源量、植被覆盖率和生态用水率;相较于平均集对势,TSSPP 在保持总体趋势一致的同时,有效提升了对承载状态波动的响应灵敏度与等级区分度,可为区域水资源优化配置与可持续发展提供科学依据.

The evaluation of water resources carrying capacity(WRCC)is essential for identifying re-gional water resources carrying risks and supporting differentiated management.To improve the character-ization performance of set pair potential,this study proposes a two-stage subtraction set pair potential method(TSSPP),which dynamically adjusts the transformation ratio of difference degree to deterministic information according to the relative magnitudes of uniformity and opposition.Then,a regional water re-sources carrying capacity evaluation and diagnosis model was constructed to study the Jianghuai hilly area of Anhui Province.The results show that the regional WRCC generally remained at a critically overloaded level from 2011 to 2022,with significant spatial heterogeneity.The comprehensive carrying capacity fol-lowed the order of Anqing City,Lu'an City,Chuzhou City,and Hefei City from high to low.The evolu-tion of carrying capacity was mainly driven by the carrying pressure and support subsystems,with per ca-pita daily domestic water consumption,water yield modulus,per capita water resources,vegetation cov-erage,and ecological water use rate identified as the main obstacle factors.Compared with the average set pair potential method,TSSPP maintained consistency in the overall trend while effectively improving sensitivity to carrying-state fluctuations and grade categorization.The proposed method provides a scientif-ic basis for allocation optimization and sustainable development of regional water resources.

何思圜;王梓宇;金菊良;黄超;周戎星;刘皓宇;王亚伟

合肥工业大学 土木与水利工程学院,安徽 合肥 230009||合肥工业大学 水利人工智能与水安全联合共建实验室,安徽 合肥 230009合肥工业大学 土木与水利工程学院,安徽 合肥 230009||合肥工业大学 水利人工智能与水安全联合共建实验室,安徽 合肥 230009合肥工业大学 土木与水利工程学院,安徽 合肥 230009||合肥工业大学 水利人工智能与水安全联合共建实验室,安徽 合肥 230009合肥工业大学 土木与水利工程学院,安徽 合肥 230009||合肥工业大学 水利人工智能与水安全联合共建实验室,安徽 合肥 230009安徽建筑大学 环境与能源工程学院,安徽 合肥 230601合肥工业大学 土木与水利工程学院,安徽 合肥 230009||合肥工业大学 水利人工智能与水安全联合共建实验室,安徽 合肥 230009合肥工业大学 土木与水利工程学院,安徽 合肥 230009||合肥工业大学 水利人工智能与水安全联合共建实验室,安徽 合肥 230009

建筑与水利

水资源承载力评价障碍因子诊断相对联系数二次减法集对势江淮丘陵区

water resources carrying capacity evaluationobstacle factor diagnosisrelative connection numbertwo-stage subtraction set pair potentialJianghuai hilly area

《水资源与水工程学报》 2026 (4)

20-28,9

国家自然科学基金项目(52409001、U2240223)水利部重大科技项目(SKS-2025046)

10.11705/j.issn.1672-643X.2026.04.03

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