Abstract:

Based on the technology platform of GIS, utilizing the observed data to construct the greenhouse microclimate model to predict the average temperature inside greenhouse which can represent the northern and southern greenhouse in Jiangsu. Then, utilizing the common meteorological observation data which came from 7 basic and 43 ordinary stations from 1990 to 2009 and DEM data of Jiangsu province, combined with the index of meteorological disaster of facilities agriculture, the risk grading regionalization of few light disaster, low temperature disaster and high temperature disaster had been employed. The results showed that a obviously trend of enhanced frequency in mild and severe few light disaster; low temperature disaster performance the most serious in Nantong and the least serious in Peixian; moderate high temperature disaster appeared in most of Jiangsu province, high temperature disaster performance the most serious in Liyang and the least serious in Sheyang. Finally, The risk grading regionalization of meteorological disaster of facilities agriculture in Jiangsu province had been completed based on the technology platform of GIS. The results in this study can support for preventing meteorological disaster of facilities agriculture and guiding the operation earlier than the disaster for the peasant and providing the scientific basis of developing facilities agriculture with high productivity and efficiency.