{"title":"钦州地区用水需求预测","authors":"Mengxiu Zeng, Yougui Song","doi":"10.1109/ISWREP.2011.5893123","DOIUrl":null,"url":null,"abstract":"The water demand from 2010 to 2018 in Qinzhou has been forecasted using a new model based on the combinations of grey forecasting model GM(1,1) and Auto Regressive Moving Average(ARMA) model. The predicted results indicate that total water demand, industrial water demand and domestic water demand will increase, and agricultural water demand decreases gradually. However, the agricultural consumption is still dominant in the future. The trend of total water demand is similar to that of industrial water demand, and in some extent we can assess the trend of total water demand based on industrial water demand.","PeriodicalId":6425,"journal":{"name":"2011 International Symposium on Water Resource and Environmental Protection","volume":"12 1","pages":"779-782"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Water demand forecasting in Qinzhou, China\",\"authors\":\"Mengxiu Zeng, Yougui Song\",\"doi\":\"10.1109/ISWREP.2011.5893123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The water demand from 2010 to 2018 in Qinzhou has been forecasted using a new model based on the combinations of grey forecasting model GM(1,1) and Auto Regressive Moving Average(ARMA) model. The predicted results indicate that total water demand, industrial water demand and domestic water demand will increase, and agricultural water demand decreases gradually. However, the agricultural consumption is still dominant in the future. The trend of total water demand is similar to that of industrial water demand, and in some extent we can assess the trend of total water demand based on industrial water demand.\",\"PeriodicalId\":6425,\"journal\":{\"name\":\"2011 International Symposium on Water Resource and Environmental Protection\",\"volume\":\"12 1\",\"pages\":\"779-782\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Symposium on Water Resource and Environmental Protection\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWREP.2011.5893123\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Symposium on Water Resource and Environmental Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWREP.2011.5893123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The water demand from 2010 to 2018 in Qinzhou has been forecasted using a new model based on the combinations of grey forecasting model GM(1,1) and Auto Regressive Moving Average(ARMA) model. The predicted results indicate that total water demand, industrial water demand and domestic water demand will increase, and agricultural water demand decreases gradually. However, the agricultural consumption is still dominant in the future. The trend of total water demand is similar to that of industrial water demand, and in some extent we can assess the trend of total water demand based on industrial water demand.
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