Pablo Gonzalez-Albornoz, C. Rubio-Manzano, J. Torres, Elias Alfonso Candia Taco
{"title":"Towards the definition of a water risk index and its automatic calculation from NetCDF multidimensional data files","authors":"Pablo Gonzalez-Albornoz, C. Rubio-Manzano, J. Torres, Elias Alfonso Candia Taco","doi":"10.1109/CLEI56649.2022.9959942","DOIUrl":null,"url":null,"abstract":"This work presents the definition of a water risk index based on temperatures and precipitation during the years 1979 to 2019 in the Ñuble Region (Chile). Its calculation has been implemented in a software application that allows working with multidimensional data files in NetCDF format. In addition, our prototype allows to load and visualize this type of data in an easy way without the need of having an advanced knowledge in the management of geographic information systems. The result is an application that we would like to use in the future to improve water management and decision making in the region.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 XVLIII Latin American Computer Conference (CLEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLEI56649.2022.9959942","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
This work presents the definition of a water risk index based on temperatures and precipitation during the years 1979 to 2019 in the Ñuble Region (Chile). Its calculation has been implemented in a software application that allows working with multidimensional data files in NetCDF format. In addition, our prototype allows to load and visualize this type of data in an easy way without the need of having an advanced knowledge in the management of geographic information systems. The result is an application that we would like to use in the future to improve water management and decision making in the region.