{"title":"应用灰色理论模型进行西北地区水资源预测","authors":"Hongwei Zhang, Bigui Wei, Jianlin Liu, Hua Li","doi":"10.1109/GIWRM.2012.6349662","DOIUrl":null,"url":null,"abstract":"Analysis of the data in the last six years by applying the gray theory model GM (1,1) revealed the amount of the water resources in Northwest China. On inspection, the relative error rate of the fore-cast results are all less than 0.1. This paper lists the analysis process of gray model, as well as the original data and projections fitting curves equation, which indicate obviously that the model can be well used for the prediction of the amount of water resources.","PeriodicalId":6394,"journal":{"name":"2012 International Symposium on Geomatics for Integrated Water Resource Management","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of the water resources by applying a grey theory model in Northwest China\",\"authors\":\"Hongwei Zhang, Bigui Wei, Jianlin Liu, Hua Li\",\"doi\":\"10.1109/GIWRM.2012.6349662\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analysis of the data in the last six years by applying the gray theory model GM (1,1) revealed the amount of the water resources in Northwest China. On inspection, the relative error rate of the fore-cast results are all less than 0.1. This paper lists the analysis process of gray model, as well as the original data and projections fitting curves equation, which indicate obviously that the model can be well used for the prediction of the amount of water resources.\",\"PeriodicalId\":6394,\"journal\":{\"name\":\"2012 International Symposium on Geomatics for Integrated Water Resource Management\",\"volume\":\"1 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Symposium on Geomatics for Integrated Water Resource Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GIWRM.2012.6349662\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Symposium on Geomatics for Integrated Water Resource Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GIWRM.2012.6349662","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of the water resources by applying a grey theory model in Northwest China
Analysis of the data in the last six years by applying the gray theory model GM (1,1) revealed the amount of the water resources in Northwest China. On inspection, the relative error rate of the fore-cast results are all less than 0.1. This paper lists the analysis process of gray model, as well as the original data and projections fitting curves equation, which indicate obviously that the model can be well used for the prediction of the amount of water resources.
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