The Construction of Orange Drought Warning Modelâ€”A case study of Beibei Orangery in Chongqing City
AbstractOn the basis of expounding the status quo of Chinaâ€™s orange drought warning model research, according to the real-time monitoring data of Beibei Orangery in Chongqing City from June to August in 2010, by using factor analysis and principal component regression, we construct the drought warning model of Beibei Orangery in Chongqing City, and we conduct test and correction on drought warning model by using MAPE principle of assessment and prediction accuracy and the real-time monitoring data of September. The results show that as for the prediction of orange drought, the model has strong credibility. If we conduct continuous dynamic monitoring on the relevant indices regarding orange drought by virtue of this model, and pay attention to the analysis of variation trend of prediction value, then it will be more practical; the warning effect, to some extent, further indicates that using factor analysis and principal component analysis method to conduct drought warning is rational; as the prediction model is static and linear, so we should perfect model to promote the accuracy and practicality of model.
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Bibliographic InfoArticle provided by USA-China Science and Culture Media Corporation in its journal Asian Agricultural Research.
Volume (Year): 03 (2011)
Issue (Month): 03 (March)
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Orange; Drought warning; Chongqing City; Principal component analysis method; factor analysis method; China; Agribusiness;
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