Article(id=1222925288569295654, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222925278838513745, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221702, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1657900800000, receivedDateStr=2022-07-16, revisedDate=1661961600000, revisedDateStr=2022-09-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1769497709647, onlineDateStr=2026-01-27, pubDate=1677254400000, pubDateStr=2023-02-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769497709647, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769497709647, creator=13701087609, updateTime=1769497709647, updator=13701087609, issue=Issue{id=1222925278838513745, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='2', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769497707328, creator=13701087609, updateTime=1769497707328, updator=13701087609, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=23, endPage=26, ext={EN=ArticleExt(id=1222925288816759607, articleId=1222925288569295654, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Analysis of Temporal-Spatial Variation of Water Security in Gansu Province Based on Combined Weighting-Cloud Model, columnId=1222925279849341011, journalTitle=Water Resources and Power, columnName=HYDROLOGY, WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

Carrying out quantitative assessment of regional water security is an important basis for water security diagnosis and scientific decision-making. To analyze temporal-spatial characteristics of water security in Gansu Province, an index system of 2 system layers, 6 criteria layers and 25 evaluation indexes was constructed. Based on the combination weighting method of improved AHP and entropy weight method, the weight of each index was calculated. The water security status of 14 cities (states) in Gansu Province in 2010, 2015 and 2020 was comprehensively evaluated by cloud model. The results show that the water security of each city (state) is on the rise in 2010, 2015 and 2020, and it is generally in the basic and relatively security level. The shortage of water resources and flood and drought disasters are the main restrictive factors that affect the water security in Gansu Province. Improving water resources conditions and modern water management level are the important measures to improve the water security in Gansu Province.

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定量评估区域水安全是水安全问题诊断和科学决策的重要基础。为分析甘肃省水安全的时空变化特征,构建2个系统层、6个准则层、25个评价指标的指标体系,基于改进的层次分析法和熵权法的组合赋权法计算各指标权重,利用云模型综合评价了甘肃省14个市(州)2010、2015、2020年水安全状况。结果表明,2010、2015、2020年各市(州)水安全呈上升趋势,总体处于基本安全和比较安全等级;水资源短缺和水旱灾害为影响甘肃省水安全的主要制约因素,改善水资源条件、提高现代水管理水平为提升甘肃省水安全的重要措施。

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李长春(1981-),男,高级工程师,研究方向为水文水资源,E-mail:

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李长春(1981-),男,高级工程师,研究方向为水文水资源,E-mail:

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李长春(1981-),男,高级工程师,研究方向为水文水资源,E-mail:

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基于组合赋权法—云模型的甘肃省水安全时空变化分析
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李长春 , 朱亚强 , 吴京 , 侯爰冰 , 张发斌
水电能源科学 | 水文水资源与环境 2023,41(2): 23-26
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水电能源科学 | 水文水资源与环境 2023, 41(2): 23-26
基于组合赋权法—云模型的甘肃省水安全时空变化分析
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李长春 , 朱亚强, 吴京, 侯爰冰, 张发斌
作者信息
  • 甘肃省水利水电勘测设计研究院有限责任公司黄河流域生态保护和高质量发展研究中心,甘肃 兰州 730000
  • 李长春(1981-),男,高级工程师,研究方向为水文水资源,E-mail:

Analysis of Temporal-Spatial Variation of Water Security in Gansu Province Based on Combined Weighting-Cloud Model
Chang-chun LI , Ya-qiang ZHU, Jing WU, Yuan-bing HOU, Fa-bin ZHANG
Affiliations
  • Yellow River Basin Ecological Protection and High-Quality Development Research Center, Gansu Water Conservancy & Hydropower Survey & Design Research Institute, Lanzhou 730000, China
出版时间: 2023-02-25 doi: 10.20040/j.cnki.1000-7709.2023.20221702
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定量评估区域水安全是水安全问题诊断和科学决策的重要基础。为分析甘肃省水安全的时空变化特征,构建2个系统层、6个准则层、25个评价指标的指标体系,基于改进的层次分析法和熵权法的组合赋权法计算各指标权重,利用云模型综合评价了甘肃省14个市(州)2010、2015、2020年水安全状况。结果表明,2010、2015、2020年各市(州)水安全呈上升趋势,总体处于基本安全和比较安全等级;水资源短缺和水旱灾害为影响甘肃省水安全的主要制约因素,改善水资源条件、提高现代水管理水平为提升甘肃省水安全的重要措施。

水安全  /  组合赋权法  /  指标体系  /  云模型  /  甘肃省

Carrying out quantitative assessment of regional water security is an important basis for water security diagnosis and scientific decision-making. To analyze temporal-spatial characteristics of water security in Gansu Province, an index system of 2 system layers, 6 criteria layers and 25 evaluation indexes was constructed. Based on the combination weighting method of improved AHP and entropy weight method, the weight of each index was calculated. The water security status of 14 cities (states) in Gansu Province in 2010, 2015 and 2020 was comprehensively evaluated by cloud model. The results show that the water security of each city (state) is on the rise in 2010, 2015 and 2020, and it is generally in the basic and relatively security level. The shortage of water resources and flood and drought disasters are the main restrictive factors that affect the water security in Gansu Province. Improving water resources conditions and modern water management level are the important measures to improve the water security in Gansu Province.

water security  /  combination weighting method  /  evaluation index system  /  cloud method  /  Gansu Province
李长春, 朱亚强, 吴京, 侯爰冰, 张发斌. 基于组合赋权法—云模型的甘肃省水安全时空变化分析. 水电能源科学, 2023 , 41 (2) : 23 -26 . DOI: 10.20040/j.cnki.1000-7709.2023.20221702
Chang-chun LI, Ya-qiang ZHU, Jing WU, Yuan-bing HOU, Fa-bin ZHANG. Analysis of Temporal-Spatial Variation of Water Security in Gansu Province Based on Combined Weighting-Cloud Model[J]. Water Resources and Power, 2023 , 41 (2) : 23 -26 . DOI: 10.20040/j.cnki.1000-7709.2023.20221702
2023年第41卷第2期
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doi: 10.20040/j.cnki.1000-7709.2023.20221702
  • 接收时间:2022-07-16
  • 首发时间:2026-01-27
  • 出版时间:2023-02-25
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  • 收稿日期:2022-07-16
  • 修回日期:2022-09-01
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    甘肃省水利水电勘测设计研究院有限责任公司黄河流域生态保护和高质量发展研究中心,甘肃 兰州 730000
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2种不同金属材料的力学参数

Family
属数
Number of
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种数
Number of
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占总种数比例
Percentage of
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Genus
种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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