Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Arid Meteorology》 2017-04
Add to Favorite Get Latest Update

Adaptability Evaluation of ORYZA(V3) Model to Simulation of Development Stage of Double Cropping Rice Based on Meteorological Disaster

LI Ning;BAI Rui;WU Lu;GAO Jiachen;YI Kexian;LI Wei;Environment and Plant Protection Institute,Chinese Academy of Tropical Agricultural Sciences;Danzhou Scientific Observing and Experimental Station of Agro-Environment,Ministry of Agriculture;Hainan Institute of Meteorological Science;College of Resource and Environmental Sciences,China Agricultural University;  
To evaluate the simulation accuracy of the ORYZA(V3) model for development stage of the double cropping rice in Hainan Province,the parameters of the ORYZA(V3) model were calibrated and validated based on daily meteorological observations,meteorological disaster data,soil properties and observed rice phenology data from four typical experiment sites(Haikou,Danzhou,Ledong and Qionghai) in the double cropping rice planting area during 2005-2014. Different types of meteorological disasters and their frequencies during the development stages of the double cropping rice were counted,and the disasters with the highest frequency in each growing phase were selected. Then the simulation accuracy of the model was evaluated based on each single meteorological disaster.The results show that the ORYZA(V3) model could reproduce the development stages of the double cropping rice in Hainan island well,the deciding coefficient R2 was more than 0. 90 and NRMSE(normalized root mean square error) ranged from 3. 97% to9. 80%. High temperature occurred most frequently during the development stages of double cropping rice,followed by typhoon and drought disaster. Under typhoon condition,the simulation accuracy for flowering stage of the late rice was good with R2= 0. 90 and NRMSE = 3. 90%,while it was unacceptable for other growing stages. Under high temperature condition,R2 ranged from 0. 87 to 0. 89 for early rice and from 0. 18 to 0. 61 for late rice,and NRMSE ranged from 3. 49% to 5. 71% for the double cropping rice. The R2 was larger than 0. 87 under drought condition with NRMSE ranging from 3. 11% to 9. 73%. The evaluation results can be valuable for better application and optimization of the model in the future.
【Fund】: 海南自然科学基金面上项目(317236)资助
【CateGory Index】: S42;S511.42
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved