{"title":"用分形维数估计分析水文气象资料","authors":"J. Jura, M. Novák","doi":"10.1109/PC.2017.7976203","DOIUrl":null,"url":null,"abstract":"This paper deals with an evaluation of a hydrometeorology data from sites of a different land use and mainly from the places with a different leaf area index. A few methods of an estimation of the Fractal Dimension of a hydrometeorology time series, which is based on the original principle of coastline length measuring, were developed. The first results indicate that developed methods are usable for testing of the relation between measured data and autoregulation functions of the ecosystem.","PeriodicalId":377619,"journal":{"name":"2017 21st International Conference on Process Control (PC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Analysis of the hydrometeorological data using the Fractal Dimension estimation\",\"authors\":\"J. Jura, M. Novák\",\"doi\":\"10.1109/PC.2017.7976203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with an evaluation of a hydrometeorology data from sites of a different land use and mainly from the places with a different leaf area index. A few methods of an estimation of the Fractal Dimension of a hydrometeorology time series, which is based on the original principle of coastline length measuring, were developed. The first results indicate that developed methods are usable for testing of the relation between measured data and autoregulation functions of the ecosystem.\",\"PeriodicalId\":377619,\"journal\":{\"name\":\"2017 21st International Conference on Process Control (PC)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 21st International Conference on Process Control (PC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PC.2017.7976203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 21st International Conference on Process Control (PC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PC.2017.7976203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of the hydrometeorological data using the Fractal Dimension estimation
This paper deals with an evaluation of a hydrometeorology data from sites of a different land use and mainly from the places with a different leaf area index. A few methods of an estimation of the Fractal Dimension of a hydrometeorology time series, which is based on the original principle of coastline length measuring, were developed. The first results indicate that developed methods are usable for testing of the relation between measured data and autoregulation functions of the ecosystem.