干旱区生态环境知识资源中心(Arid): Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China

Arid

DOI	10.1155/2019/9575782
	Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China
	Han, Yixiu; Wu, Jianping; Zhai, Bingnian; Pan, Yanxin; Huang, Guomin; Wu, Lifeng; Zeng, Wenzhi
通讯作者	Huang, GM (corresponding author), Nanchang Inst Technol, Sch Hydraul & Ecol Engn, Nanchang 330099, Jiangxi, Peoples R China.
来源期刊	ADVANCES IN METEOROLOGY
ISSN	1687-9309
EISSN	1687-9317
出版年	2019
卷号	2019
英文摘要	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)center dot d(-1)). The results indicated that BAXGB models (RMSE = 0.114-0.412 mm center dot d(-1), MAE = 0.087-0.302 mm center dot d(-1), and R-2 = 0.937-0.996) were more accurate than either MARS (RMSE = 0.146-0.512 mm center dot d(-1), MAE = 0.112-0.37 mm center dot d(-1), and R-2 = 0.935-0.994) or GPR (RMSE = 0.289-0.714 mm center dot d(-1), MAE = 0.197-0.564 mm center dot d(-1), and R-2 = 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.
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000522113900001
WOS关键词	GLOBAL SOLAR-RADIATION ; SUPPORT VECTOR MACHINE ; MODELS ; PREDICTION ; PRECIPITATION ; TEMPERATURE ; PARAMETERS ; MULTISTEP ; CLIMATES
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
来源机构	西北农林科技大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369800
作者单位	[Han, Yixiu; Pan, Yanxin; Huang, Guomin; Wu, Lifeng] Nanchang Inst Technol, Sch Hydraul & Ecol Engn, Nanchang 330099, Jiangxi, Peoples R China; [Wu, Jianping] Yunnan Univ, Yunnan Key Lab Plant Reprod Adapt & Evolutionary, Lab Ecol & Evolutionary Biol, Kunming 650500, Yunnan, Peoples R China; [Zhai, Bingnian] Northwest A&F Univ, Key Lab Plant Nutr & Agrienvironm Northwest China, Minist Agr, Coll Nat Resources & Environm, Yangling 712100, Shaanxi, Peoples R China; [Zeng, Wenzhi] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
推荐引用方式 GB/T 7714	Han, Yixiu,Wu, Jianping,Zhai, Bingnian,et al. Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China[J]. 西北农林科技大学,2019,2019.
APA	Han, Yixiu.,Wu, Jianping.,Zhai, Bingnian.,Pan, Yanxin.,Huang, Guomin.,...&Zeng, Wenzhi.(2019).Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China.ADVANCES IN METEOROLOGY,2019.
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 2019(2019).