dc.contributor.author | Kaya, Yunus Ziya | |
dc.contributor.author | Mamak, Mustafa | |
dc.contributor.author | Üneş, Fatih | |
dc.contributor.author | Demirci, Mustafa | |
dc.date.accessioned | 12.07.201910:50:10 | |
dc.date.accessioned | 2019-07-12T22:02:57Z | |
dc.date.available | 12.07.201910:50:10 | |
dc.date.available | 2019-07-12T22:02:57Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Kaya, Y. Z., Mamak, M., Unes, F., Demirci, M. (2017). 10th International Conference on Environmental Engineering, ICEE 2017, enviro.2017.024. doi: 10.3846/enviro.2017.024 | en_US |
dc.identifier.uri | https://doi.org/10.3846/enviro.2017.024 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12508/511 | |
dc.description | 10th International Conference on Environmental Engineering, ICEE 2017 -- 27 April 2017 through 28 April 2017 -- -- 144736 | en_US |
dc.description.abstract | Evapotranspiration (ET) estimation takes an important role in hydraulic designs and agricultural yield. Even it is non-negligible for hydraulic designers and irrigation engineers it is not clear enough to estimate or calculate ET because of direct and indirect parameters effects. In this study Solar Radiation (SR), Air Temperature (AT), Relative Humidity (RH) and Wind Speed (U) meteorological parameters are used to create a M5T model. 1158 daily RH, U, AT and SR records are used to create model and 385 daily values are used to test it. Data set is taken from St. Johns, Florida, USA weather station. The test set is also applied to the Ritchie empirical formula. M5T model and Ritchie formula Results are compared with daily ET records using determination coefficient. Determination coefficient is found 0.966 for M5T model and 0.913 for Ritchie formula. According to the determination coefficient, Mean Square Error (MSE) and Mean Absolute Error (MAE) statistics, it is understood that M5T method can be used for daily ET estimation effectively. © 2017 Yunus Ziya Kaya, Mustafa Mamak, Fatih Üneş, Mustafa Demirci. Published by VGTU Press. This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY-NC 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Vilnius Gediminas Technical University Publishing House "Technika" | en_US |
dc.relation.isversionof | 10.3846/enviro.2017.024 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Artificial Intelligent | en_US |
dc.subject | Estimation | en_US |
dc.subject | Evapotranspiration | en_US |
dc.subject | Modelling | en_US |
dc.subject | Ritchie | en_US |
dc.subject.classification | Evapotranspiration | Penman-Monteith equation | Evapotranspiration ET0 | en_US |
dc.subject.other | atmospheric temperature | en_US |
dc.subject.other | error statistics | en_US |
dc.subject.other | estimation | en_US |
dc.subject.other | evapotranspiration | en_US |
dc.subject.other | models | en_US |
dc.subject.other | wind | en_US |
dc.subject.other | agricultural yields | en_US |
dc.subject.other | artificial intelligent | en_US |
dc.subject.other | determination coefficients | en_US |
dc.subject.other | empirical formulas | en_US |
dc.subject.other | mean absolute error | en_US |
dc.subject.other | meteorological parameters | en_US |
dc.subject.other | parameters effects | en_US |
dc.subject.other | ritchie | en_US |
dc.subject.other | mean square error | en_US |
dc.subject.other | Engineering | en_US |
dc.title | Evapotranspiration prediction using M5T method and ritchie equation for St. Johns, FL, USA | en_US |
dc.type | conferenceObject | en_US |
dc.relation.journal | 10th International Conference on Environmental Engineering, ICEE 2017 | en_US |
dc.contributor.department | Mühendislik ve Doğa Bilimleri Fakültesi | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.contributor.isteauthor | Üneş, Fatih | |
dc.contributor.isteauthor | Demirci, Mustafa | |
dc.relation.index | Scopus | en_US |