Abstract
Evapotranspiration (ET) is one of the main hydrological cycle components that has extreme importance for water resources management and agriculture especially in arid and semi-arid regions. In this study, regional ET estimation models based on the fuzzy logic (FL) principles are suggested, where the first stage includes the ET calculation via Penman-Monteith equation, which produces reliable results. In the second phase, ET estimations are produced according to the conventional FL inference system model. In this paper, regional fuzzy model (RFM) and regional fuzzy chain model (RFCM) are proposed through the use of adjacent stations’ data in order to fill the missing ones. The application of the two models produces reliable and satisfactory results for mountainous and sea region locations in the Kingdom of Saudi Arabia, but comparatively RFCM estimations have more accuracy. In general, the mean absolute percentage error is less than 10%, which is acceptable in practical applications.
Original language | English |
---|---|
Pages (from-to) | 233-241 |
Number of pages | 9 |
Journal | Journal of Hydrology |
Volume | 544 |
DOIs | |
Publication status | Published - 1 Jan 2017 |
Bibliographical note
Publisher Copyright:© 2016 Elsevier B.V.
Funding
This study is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) with grand number 1059B141501090 . The corresponding author would like to thank TUBITAK for its support of this study. The authors also wish to express their deep thanks and gratitude to King Abdulaziz University for their facility support when the first author spends doing this research. Also, thanks should be expressed to the Presidency of Metrology and Environment, Jeddah, KSA, who kindly support this research by meteorological data.
Funders | Funder number |
---|---|
TUBITAK | 1059B141501090 |
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu |
Keywords
- ANFIS
- Evapotranspiration
- FAO-56
- Fuzzy
- Penman-Monteith
- Saudi Arabia