基于MRIE-AHP-EWM耦合模型和TOPSIS的凉山州国家天气站评价方法以西昌市为例

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Abstract The article proposes an evaluation method for the Liangshan National Weather Station based on Minimum Relative Information Entropy (MRIE),Analytic hierarchy process (AHP),Entropy weight method (EWM),and Technique for order preference by similarity to ideal solution (TOPSIS).The subjective and objective weights of the evaluation indexes are determined by AHP and EWM,The comprehensive weight of each index is obtained by applying MRIE coupling model,the optimal and worst schemes in the limited scheme are determined by TOPSIS,and the operation status of Liangshan National Weather Station is evaluated according to the proximity to the best or worst scheme.The results show that the combination of AHP and EWM of MRIE can reduce the human deviation caused by strong subjectivity to a certain extent,and make the evaluation result more scientific and reasonable.through this method,the evaluation index with the highest comprehensive weight is the time from the last verification,and the lowest is the transmission timeliness rate.The indicators corresponding to the best (worst) solution obtained by TOPSIS are:stable operation rate 0.450 2 (0.436 0),transmission timeliness rate 0.447 5 (0.446 0),data availability rate 0.461 5 (0.431 8),length from the last verification 0.454 8 (0.435 7) and inspection times 0.504 0 (0.378 0).Among the five national weather stations in Xichang in 2023,Anha Niulang National Weather Station has the farthest distance from the worst scheme and the best evaluation,while the Daxing Shijiezi National Weather Station is the closest to the worst scheme and the worst.In the standard matrix constructed by the original data,according to the proximity of each evaluation index to the best and worst scheme,the problems existing in the meteorological technical support work can be directly found and solved in time.Give full play to the important role of the National Weather Station in the economic and social development and rural revitalization of meteorological services in Liangshan Prefecture.

Key words： minimum relative information entropy analytic hierarchy process entropy weight method technique for order preference by similarity to ideal solution national weather station

Received: 16 July 2024

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Wang Xiao. Evaluation method for Liangshan national weather station based on MRIEAHPEWM coupled model and TOPSIS Taking Xichang City as an example[J]. Meteorological Hydrological and Marine Instrument, 2025, 42(6): 94-98.

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http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2025/V42/I6/94

[1]	许树柏.层次分析法原理[M].天津:天津大学出版社,1988.
[2]	康艳昕.基于层次分析法的泉州市康养旅游资源评价[J].攀枝花学院学报,2024,41 (2):11-19.
[3]	杜贵.新型蓄水控制闸闸型评价与决策系统探究[J].江淮水利科技,2023(6):13-18,48.
[4]	和子祺,李波,蔡映坤,等.云南省大关县地质灾害风险性评价及分区研究[J].地质灾害与环境保护,2023,34 (4):56-64.
[5]	周思宇,黄安麒,吴洁,等.基于组合赋权-TOPSIS法的气象灾害风险评估:以常州市为例[J].工业安全与环保,2022,48 (8):6-10.
[6]	李嘉,付智斌,夏雪.基于层次分析法的标准评估研究:以气象服务类标准为例[J].质量探索,2023,20 (1):53-60.
[7]	虞未江,贾超,狄胜同,等.基于综合权重和改进物元可拓评价模型的地下水水质评价[J].吉林大学学报(地球科学版),2019,49 (2):539-547.
[8]	王玮,张庆太,刘喆一,等.基于MWFE模型的河道综合治理项目风险评估[J].水利规划与设计,2024(2):76-83.
[9]	贾开华,于云霞,范秀波,等.基于AHP-EWM综合赋权和TOPSIS法的多能互补系统综合评价[J].中国电力,2023,56 (7):228-238.
[10]	张薇,黄海荣,董润润,等.基于模糊数学分析法的暴雨洪涝灾害风险评估[J].河南科技,2023,42 (3):104-108.
[11]	狄乾斌,陈小龙.新常态下海洋经济新旧动能转换测评与影响因素分析[J].中国海洋大学学报(社会科学版),2024(1):1-13.
[12]	向扬,李治军.基于改进TOPSIS模型的山西省水资源承载力与协调发展分析[J].水利水电技术(中英文),2024,55 (4):48-58.
[13]	陈情情,戎贵文,刘波,等.基于AHP-TOPSIS法的LID设施面积比例优选研究[J].水电能源科学,2024,42 (3):11-14,10.
[14]	徐劲飞,胡竞嘉,彭琨,等.基于熵权法和层次分析法的粤港澳大湾区社会工作服务评价体系研究[J].城市观察,2023(6):14-28,160-161.
[15]	骆正清,杨善林.层次分析法中几种标度的比较[J].系统工程理论与实践,2004(9):51-60.
[16]	束龙仓,黄蕾,陈华伟,等.基于AHP-EWM的莱州市海岸带海水入侵灾害风险评价与区划[J].吉林大学学报(地球科学版),2023,53 (6):1864-1879.