DocumentCode
2921939
Title
Low-Temperature and Frost Risk Division of Olive in FuJian Province Based on GIS
Author
Jiajin, Chen ; Jiayi, Wang ; Zhiguo, Ma ; Jing, Lin ; Kai, Yang ; Lichun, Li
Author_Institution
Inst. of Meteorol. Sci., Fuzhou, China
fYear
2011
fDate
19-20 Feb. 2011
Firstpage
1585
Lastpage
1588
Abstract
According the low-temperature (Td) data of 60 years from 1950/1951 to 2009-2010 in Fujian Province, geographic information, olive planting area, cut rates of yield and the farmer´s net income, the low-temperature frost risk division of olive plant is done based on GIS technology, expert grading method, mathematical statistics and so on. The mainly indexes include the four factors of hazard, exposure, vulnerability and disaster prevention and reduction capability those combined results of the natural disaster risk, and the olive comprehensive risk assessment index is made of them to forming a division map of olive low-temperature and frost. The mainly results as follows: The risk factors of distribution are an uneven distribution. It is high low-temperature and frost risk region in County of Minqing, Shanghang, and YouXi, and the risk index reached 0.7418, 0.5818, 0.51; the olive can develop in those areas that are FuZhou south coast, PuTian, QuanZhou and the most parts of ZhangZhou in Fujian Province.
Keywords
agricultural products; geographic information systems; mathematical analysis; risk analysis; statistical analysis; FuJian province; GIS; expert grading method; frost risk division; geographic information; low temperature; mathematical statistics; natural disaster; olive planting area; Computers; Distributed control; Monitoring; Fujian Province; GIS (Geographical information system); Olive (Canarium album Raeusch Raeusch); division of risk; frost; low-temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-61284-278-3
Electronic_ISBN
978-0-7695-4350-5
Type
conf
DOI
10.1109/CDCIEM.2011.389
Filename
5748118
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