Multimodal hydrological dataset for flash flood modeling in an urban watershed

dc.contributorAbreu, Ana Elisa
dc.creatorAraujo, Vinicius
dc.creatorAbreu, Ana Elisa Silva de
dc.creatorCosta, Paula Dornhofer Paro
dc.creatorFalcetta, Filipe Antonio Marques
dc.creatorPerez, Gerald Augusto Corzo
dc.creatorBitar, Omar Yazbek
dc.date.accessioned2022-12-16T13:22:09Z
dc.date.available2022-12-16T13:22:09Z
dc.identifierhttps://doi.org/10.25824/redu/J2NLAY
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5363105
dc.descriptionThis dataset contains data acquired from P-band weather radar, river water levels, and water temperatures collected every five minutes for an urban watershed located in Campinas city, in the Southeast region of Brazil. The dataset has 12265 samples and gathers data on the 145 events of highest water levels from November 2014 to June 2019. It contains 15 variables, namelly: data, time_match, precipitation interpreted from data of 10 radar grids (which correspond to the watershed area), average precipitation, water level and water temperature in the watershed outlet. A baseline study using this dataset can be found in the Master Thesis entitled "Data-driven model for flood prediction in an urban watershed in Campinas, Brazil, aiming at building an early warning system"
dc.publisherRepositório de Dados de Pesquisa da Unicamp
dc.subjectEarth and Environmental Sciences
dc.subjectMachine Learning
dc.subjectGeological risk
dc.subjectHydrological risk
dc.subjectHydrology
dc.subjectFlash-flood
dc.titleMultimodal hydrological dataset for flash flood modeling in an urban watershed


Este ítem pertenece a la siguiente institución