Prediction for reference crop evapotranspiration in arid northwest China based on ELM
ZHANG Haojie1, CUI Ningbo1,2*, XU Ying1, ZHONG Dan1, HU Xiaotao3, GONG Daozhi4
1.State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan 610065, China; 2.Provincial Key Laboratory of Water-saving Agriculture in Hill Area of Southern China, Chengdu, Sichuan 610066, China; 3.Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China; 4.State Engineering Laboratory for Efficient Water Use and Disaster Loss Reduction of Crops, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agriculture Sciences, Beijing 100081, China
To predict ET0 accurately with limited meteorological data, four representative meteorological sites were selected in arid northwest China to construct extreme learning machine(ELM). This model was used to predict ET0 and compare with other three models. The results show that when only based on the temperature and the wind speed data, the simulation accuracy of ELM7 is high(GPI ranks the 4th). When only based on the temperature and the radiation data, the simulation accuracy of ELM5 model(GPI ranks the 6th)is greater than that of Iramk model and Jensen-Haise model. When only based on the temperature data, the simulation accuracy of ELM9 model(GPI ranks the 8th)is greater than that of Hargreaves-Samani model. The results of ELM model portability show that ELM7 model in arid northwestern China has high simulation accuracy based on different sites′ datas. Thus, ELM5, ELM7 and ELM9 models can be used as a recommended model for the prediction of ET0 based on limited meteorological data in the northwest arid area of China.
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