Application of Machine Learning Models to Predict Maximum Event Water Fractions in Streamflow
dc.contributor.author | Sahraei, Amirhossein | |
dc.contributor.author | Chamorro, Alejandro | |
dc.contributor.author | Kraft, Philipp | |
dc.contributor.author | Breuer, Lutz | |
dc.date.accessioned | 2022-09-02T13:34:50Z | |
dc.date.available | 2022-09-02T13:34:50Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://jlupub.ub.uni-giessen.de//handle/jlupub/7295 | |
dc.identifier.uri | http://dx.doi.org/10.22029/jlupub-6746 | |
dc.language.iso | en | |
dc.rights | Namensnennung 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject.ddc | ddc:630 | |
dc.title | Application of Machine Learning Models to Predict Maximum Event Water Fractions in Streamflow | |
dc.type | article | |
local.affiliation | FB 09 - Agrarwissenschaften, Ökotrophologie und Umweltmanagement | |
local.source.articlenumber | 652100 | |
local.source.epage | 21 | |
local.source.journaltitle | Frontiers in water | |
local.source.spage | 1 | |
local.source.uri | https://doi.org/10.3389/frwa.2021.652100 | |
local.source.volume | 3 |
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