Modeling net ecosystem carbon dioxide exchange using temporal neural networks after wavelet denoising

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dc.authorid0000-0003-1099-4363en_US
dc.contributor.authorEvrendilek, Fatih
dc.date.accessioned2021-06-23T19:36:56Z
dc.date.available2021-06-23T19:36:56Z
dc.date.issued2014
dc.departmentBAİBÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.description.abstractEddy covariance (EC) time-series data obtained from flux towers are noisy due to both stochastic atmospheric turbulence and deterministic processes, and no standard data-denoising protocols exist for them. The potential of six temporal artificial neural networks (ANNs) augmented with and without three orthogonal wavelet functions was tested for predicting net ecosystem exchange of carbon dioxide (CO2) based on a long-term EC data set for a temperate peatland. Multiple comparisons were made of (1) temporal ANNs with and without discrete wavelet transform (DWT) denoising; (2) denoising with the orthogonal wavelet families of Daubechies, Coiflet, and Symmlet; (3) different decomposition levels; (4) time-delay neural network, time-lag recurrent network, and recurrent neural network; (5) online learning versus batch learning algorithms; and (6) diel, diurnal, and nocturnal periods. The coefficient of determination, root mean square error, and mean absolute error performance metrics were used for multiple comparisons based on training, cross-validation, and independent validation of the temporal ANNs as a function of 24 explanatory variables contained in an EC data set. Integration of the temporal ANNs and DWT denoising provided more accurate and precise estimates of net ecosystem CO2 exchange.en_US
dc.identifier.doi10.1111/gean.12025
dc.identifier.endpage52en_US
dc.identifier.issn0016-7363
dc.identifier.issn1538-4632
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-84892549565en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage37en_US
dc.identifier.urihttps://doi.org/10.1111/gean.12025
dc.identifier.urihttps://hdl.handle.net/20.500.12491/8078
dc.identifier.volume46en_US
dc.identifier.wosWOS:000330794600003en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorEvrendilek, Fatih
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofGeographical Analysisen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleModeling net ecosystem carbon dioxide exchange using temporal neural networks after wavelet denoisingen_US
dc.typeArticleen_US

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