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Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China
Joint Authors
Han, Yixiu
Wu, Jianping
Zhai, Bingnian
Pan, Yanxin
Huang, Guomin
Wu, Lifeng
Zeng, Wenzhi
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-17
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Accurate estimation of reference evapotranspiration (ETo) is key to agricultural irrigation scheduling and water resources management in arid and semiarid areas.
This study evaluates the capability of coupling a Bat algorithm with the XGBoost method (i.e., the BAXGB model) for estimating monthly ETo in the arid and semiarid regions of China.
Meteorological data from three stations (Datong, Yinchuan, and Taiyuan) during 1991–2015 were used to build the BAXGB model, the multivariate adaptive regression splines (MARS), and the gaussian process regression (GPR) model.
Six input combinations with different sets of meteorological parameters were applied for model training and testing, which included mean air temperature (Tmean), maximum air temperature (Tmax), minimum air temperature (Tmin), wind speed (U), relative humidity (RH), and solar radiation (Rs) or extraterrestrial radiation (Ra, MJ m−2·d−1).
The results indicated that BAXGB models (RMSE = 0.114–0.412 mm·d−1, MAE = 0.087–0.302 mm·d−1, and R2 = 0.937–0.996) were more accurate than either MARS (RMSE = 0.146–0.512 mm·d−1, MAE = 0.112–0.37 mm·d−1, and R2 = 0.935–0.994) or GPR (RMSE = 0.289–0.714 mm·d−1, MAE = 0.197–0.564 mm·d−1, and R2 = 0.817–0.980) model for estimating ETo.
Findings of this study would be helpful for agricultural irrigation scheduling in the arid and semiarid regions and may be used as reference in other regions where accurate models for improving local water management are needed.
American Psychological Association (APA)
Han, Yixiu& Wu, Jianping& Zhai, Bingnian& Pan, Yanxin& Huang, Guomin& Wu, Lifeng…[et al.]. 2019. Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China. Advances in Meteorology،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1118842
Modern Language Association (MLA)
Han, Yixiu…[et al.]. Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China. Advances in Meteorology No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1118842
American Medical Association (AMA)
Han, Yixiu& Wu, Jianping& Zhai, Bingnian& Pan, Yanxin& Huang, Guomin& Wu, Lifeng…[et al.]. Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China. Advances in Meteorology. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1118842
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118842