Ana Victoria Gómez Alejandro, Heliodoro Daniel Cruz Suárez
{"title":"Rainfall Trend Analysis in the City of Villahermosa, Mexico","authors":"Ana Victoria Gómez Alejandro, Heliodoro Daniel Cruz Suárez","doi":"10.17265/2328-2193/2019.01.002","DOIUrl":null,"url":null,"abstract":"In this paper, a study by means of linear regression of rainfall in Villahermosa is proposed, within the study area 5 meteorological stations distributed in the city were analyzed because it is one of the most populated areas of the state, once estimated the data, the non-parametric Mann-Kendall test was used to determine increasing or decreasing linear trends in precipitation. To determine the usefulness of statistical inference, the linear correlation coefficient (r) was calculated, which was 0.86 on average. Statistical efficiency (E) was also calculated, which in all the cases analyzed suggests the viability of statistical inference. As a result of this analysis, a complete rainfall database is presented and evaluated for increasing or decreasing trends for the 1980-2010 period.","PeriodicalId":66051,"journal":{"name":"地质资源与工程:英文版","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"地质资源与工程:英文版","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.17265/2328-2193/2019.01.002","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
In this paper, a study by means of linear regression of rainfall in Villahermosa is proposed, within the study area 5 meteorological stations distributed in the city were analyzed because it is one of the most populated areas of the state, once estimated the data, the non-parametric Mann-Kendall test was used to determine increasing or decreasing linear trends in precipitation. To determine the usefulness of statistical inference, the linear correlation coefficient (r) was calculated, which was 0.86 on average. Statistical efficiency (E) was also calculated, which in all the cases analyzed suggests the viability of statistical inference. As a result of this analysis, a complete rainfall database is presented and evaluated for increasing or decreasing trends for the 1980-2010 period.