{"title":"基于ARIMA的水资源相关民勤产值时间序列预测","authors":"Xingdong Li, Zhengcheng Zhang","doi":"10.1109/GIWRM.2012.6349588","DOIUrl":null,"url":null,"abstract":"For a long time, how to utilize water resources rationally has influenced Minqin economic, ecological and social benefits. Through analyzing Minqin Value of Output Related to Water Resources from 1956 to 2009, this paper determines the appropriate Auto Regressive Integrated Moving Average model (ARIMA), forecases Minqin Value of Output Related to Water Resource from 2010 to 2015. The results show that the ARIMA model is effective and forecast data can be trusted.","PeriodicalId":6394,"journal":{"name":"2012 International Symposium on Geomatics for Integrated Water Resource Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A time series forecasting based on ARIMA for Minqin value of output related to water resources\",\"authors\":\"Xingdong Li, Zhengcheng Zhang\",\"doi\":\"10.1109/GIWRM.2012.6349588\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For a long time, how to utilize water resources rationally has influenced Minqin economic, ecological and social benefits. Through analyzing Minqin Value of Output Related to Water Resources from 1956 to 2009, this paper determines the appropriate Auto Regressive Integrated Moving Average model (ARIMA), forecases Minqin Value of Output Related to Water Resource from 2010 to 2015. The results show that the ARIMA model is effective and forecast data can be trusted.\",\"PeriodicalId\":6394,\"journal\":{\"name\":\"2012 International Symposium on Geomatics for Integrated Water Resource Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"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.2012.6349588\",\"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.2012.6349588","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A time series forecasting based on ARIMA for Minqin value of output related to water resources
For a long time, how to utilize water resources rationally has influenced Minqin economic, ecological and social benefits. Through analyzing Minqin Value of Output Related to Water Resources from 1956 to 2009, this paper determines the appropriate Auto Regressive Integrated Moving Average model (ARIMA), forecases Minqin Value of Output Related to Water Resource from 2010 to 2015. The results show that the ARIMA model is effective and forecast data can be trusted.
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