Gelişmiş Arama

Basit öğe kaydını göster

dc.contributor.authorŞensoy, Aynur
dc.contributor.authorŞorman, Ali Ünal
dc.contributor.authorŞorman, Ali Arda
dc.date.accessioned2019-10-21T21:11:30Z
dc.date.available2019-10-21T21:11:30Z
dc.date.issued2012
dc.identifier.issn0022-1694
dc.identifier.urihttps://dx.doi.org/10.1016/j.jhydrol.2012.05.067
dc.identifier.urihttps://hdl.handle.net/11421/21001
dc.descriptionWOS: 000307154000020en_US
dc.description.abstractThe studies conducted in the Euphrates Basin draws special attention due to its high snow potential and hydropolitical condition. Snow and hydrometeorological instrumentation has been set up for real time monitoring and data collection in the Upper Euphrates Basin over the past decade. Hydrological modeling studies using satellite snow products have been carried out in the basin for real time runoff forecasting. Moreover, the Upper Euphrates Basin is a pilot basin for several national and international projects on snow hydrology concerning its location and topography. These are the main reasons in writing this comment on the methodology and data used by Yilmaz et al. Yilmaz et al. draw the attention to the ANN which does not require a high level of expertise in successfully identifying the nonlinear hydrological processes. However, ANN modeling should be used with care and enough data including topography and snow data especially when applied in a mountainous snow dominated basinen_US
dc.language.isoengen_US
dc.publisherElsevier Science BVen_US
dc.relation.isversionof10.1016/j.jhydrol.2012.05.067en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSnowen_US
dc.subjectUpper Euphrates Basinen_US
dc.subjectHydrological Modelingen_US
dc.titleComment on "Catchment flow estimation using Artifical Neural Networks in the mountainous Euphrates basin" by AG Yilmaz, MA Imteaz, G. Jenkins (J. Hydrol. 410 (2011) 134-140)en_US
dc.typeeditorialen_US
dc.relation.journalJournal of Hydrologyen_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.identifier.volume454en_US
dc.identifier.startpage208en_US
dc.identifier.endpage210en_US
dc.relation.publicationcategoryDiğeren_US
dc.contributor.institutionauthorŞensoy, Aynur
dc.contributor.institutionauthorŞorman, Ali Arda


Bu öğenin dosyaları:

Thumbnail

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster