Zhaoyang Yuan, Runze Wang, Dongjian Shen, Shu-han Cheng, Zhijun Wang
{"title":"The construction of drought disaster early warning model in apple orchard","authors":"Zhaoyang Yuan, Runze Wang, Dongjian Shen, Shu-han Cheng, Zhijun Wang","doi":"10.1145/3523286.3524606","DOIUrl":null,"url":null,"abstract":"Aiming at the problem of drought disaster in apple orchards in China, using the meteorological data of 28 meteorological stations from 2011 to 2020, combining with the analysis of drought disaster in apple producing areas and the research status of drought index, the drought types and grades were divided; the concept of \"k-month scale\" is introduced to judge the drought disaster and grade degree by using the precipitation anomaly percentage of apple production. Combined with the future weather and precipitation forecast, the drought prediction and judgment of apple orchard are realized.","PeriodicalId":268165,"journal":{"name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3523286.3524606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the problem of drought disaster in apple orchards in China, using the meteorological data of 28 meteorological stations from 2011 to 2020, combining with the analysis of drought disaster in apple producing areas and the research status of drought index, the drought types and grades were divided; the concept of "k-month scale" is introduced to judge the drought disaster and grade degree by using the precipitation anomaly percentage of apple production. Combined with the future weather and precipitation forecast, the drought prediction and judgment of apple orchard are realized.