{"title":"基于AHP和多目标规划模型的大坝治理方案优化选择","authors":"Zhao Qing-ju","doi":"10.22606/MCSE.2018.22003","DOIUrl":null,"url":null,"abstract":"For the dam management program, here are generally three options: the first to repair an existing dam, the second to rebuild a dam, the third type is to delete the original large dam and to replace the large dam with a series of small dams along the river.Based on Analytic Hierarchy Process (AHP), a model based on safety, cost, power generation, irrigation ability and ecological influence is established. The model is solved by using MATLAB and the consistency test is carried out. Finally, the weights are calculated and ranked according to AHP. The optimal solution was evaluated by Analytic Hierarchy Process (AHP).Then the case study of Kariba Dam is carried out. The results of the first and the third schemes are very close. Therefore, in order to further analyze the accuracy of the AHP results, we will focus on the comparison of schemes 1 and 3 with a detailed analysis of the third scheme. A multi-objective planning model with a minimum number of dams and a minimum construction cost is established. The model takes into account such factors as the amount of power generated, water capacity, and the number of dams. Finally, LINGO is used to solve the model. In data collection, some dams do not have accurate information, and regression equations are established by using known information to predict other information through EXCEL fitting, finally obtaining the optimal solution. Finally, the accuracy, applicability and flexibility of AHP results are verified.","PeriodicalId":100659,"journal":{"name":"IMPACT of Computing in Science and Engineering","volume":"42 1","pages":"25-38"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Selection of Dam Governance Scheme based on AHP and Multi-Objective Programming Model\",\"authors\":\"Zhao Qing-ju\",\"doi\":\"10.22606/MCSE.2018.22003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the dam management program, here are generally three options: the first to repair an existing dam, the second to rebuild a dam, the third type is to delete the original large dam and to replace the large dam with a series of small dams along the river.Based on Analytic Hierarchy Process (AHP), a model based on safety, cost, power generation, irrigation ability and ecological influence is established. The model is solved by using MATLAB and the consistency test is carried out. Finally, the weights are calculated and ranked according to AHP. The optimal solution was evaluated by Analytic Hierarchy Process (AHP).Then the case study of Kariba Dam is carried out. The results of the first and the third schemes are very close. Therefore, in order to further analyze the accuracy of the AHP results, we will focus on the comparison of schemes 1 and 3 with a detailed analysis of the third scheme. A multi-objective planning model with a minimum number of dams and a minimum construction cost is established. The model takes into account such factors as the amount of power generated, water capacity, and the number of dams. Finally, LINGO is used to solve the model. In data collection, some dams do not have accurate information, and regression equations are established by using known information to predict other information through EXCEL fitting, finally obtaining the optimal solution. Finally, the accuracy, applicability and flexibility of AHP results are verified.\",\"PeriodicalId\":100659,\"journal\":{\"name\":\"IMPACT of Computing in Science and Engineering\",\"volume\":\"42 1\",\"pages\":\"25-38\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IMPACT of Computing in Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22606/MCSE.2018.22003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IMPACT of Computing in Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22606/MCSE.2018.22003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Selection of Dam Governance Scheme based on AHP and Multi-Objective Programming Model
For the dam management program, here are generally three options: the first to repair an existing dam, the second to rebuild a dam, the third type is to delete the original large dam and to replace the large dam with a series of small dams along the river.Based on Analytic Hierarchy Process (AHP), a model based on safety, cost, power generation, irrigation ability and ecological influence is established. The model is solved by using MATLAB and the consistency test is carried out. Finally, the weights are calculated and ranked according to AHP. The optimal solution was evaluated by Analytic Hierarchy Process (AHP).Then the case study of Kariba Dam is carried out. The results of the first and the third schemes are very close. Therefore, in order to further analyze the accuracy of the AHP results, we will focus on the comparison of schemes 1 and 3 with a detailed analysis of the third scheme. A multi-objective planning model with a minimum number of dams and a minimum construction cost is established. The model takes into account such factors as the amount of power generated, water capacity, and the number of dams. Finally, LINGO is used to solve the model. In data collection, some dams do not have accurate information, and regression equations are established by using known information to predict other information through EXCEL fitting, finally obtaining the optimal solution. Finally, the accuracy, applicability and flexibility of AHP results are verified.