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http://dx.doi.org/10.12791/KSBEC.2017.26.2.87

GIS Spatial Analysis of Vulnerability of Protected Cultivation Area to Meteorological Disaster : A Case Study of Jeollanambuk Province, South Korea  

Kim, Dong Hyeon (Dept. of Agricultural Engineering, National Institute of Agricultural Sciences, RDA)
Kang, Dong Hyeon (Dept. of Agricultural Engineering, National Institute of Agricultural Sciences, RDA)
Lee, Si Young (Dept. of Agricultural Engineering, National Institute of Agricultural Sciences, RDA)
Son, Jin Kwan (Dept. of Agricultural Engineering, National Institute of Agricultural Sciences, RDA)
Park, Min Jung (Dept. of Agricultural Engineering, National Institute of Agricultural Sciences, RDA)
Yoon, Yong-Cheol (Dept. of Agricultural Eng. Gyeongsang National Univ. (Institute of Agricultural and Life Science, GNU))
Yun, Sung-Wook (Dept. of Agricultural Engineering, National Institute of Agricultural Sciences, RDA)
Publication Information
Journal of Bio-Environment Control / v.26, no.2, 2017 , pp. 87-99 More about this Journal
Abstract
Recently the increase in an abnormal climate events and meteorological disasters which causes a great damage to greenhouse facilities. To minimize and evaluate the expected damages it is necessary to prepare countermeasures and a management system in advance. For this purpose, a quantitative analysis of weather and abnormal climate are needed to investigate protected cultivation areas which are vulnerable to natural disasters. This study focused on protected cultivation areas in Jeolla province, South Korea. Surrogate variables were calculated to analyze the vulnerable areas to meteorological disasters, and spatial distribution analysis was also performed by using GIS to present vulnerable areas on map. The map thus created and was compared with actual data of damages by meteorological disasters which occurred in target areas. The result of the comparison is as follows: About 50% of the target areas showed an agreement between the map created in this study and the actual data, these areas includes Gwangju metropolitan city, Naju city, Yeongam County, Jangseong County, Hampyeong County, and Haenam County. On the other hand, other areas, including Gunsan city, Mokpo city, and Muan County, suffered low damage in spite of high levels of vulnerability to meteorological disasters. This result was considered to be affected by such variables as different structural designs and management systems of greenhouses by region. This study carried out an analysis of meteorological data to find out more detailed vulnerability to protected cultivation area and to create a map of vulnerable protected cultivation areas. In addition, the map was compared with the record of natural disasters to identify actual vulnerable areas. In conclusion, this study can be utilized as basic data for preventing and reducing damages by meteorological disasters in terms of design and management of greenhouses.
Keywords
anti-disaster Standards; climate change; controlled horticulture; greenhouse; overlay Analysis;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Choi, M. K., S. W. Yun, H. T. Kim, S. Y. Lee, and Y. C. Yoon. 2014. Field survey on the maintenance status of greenhouses in korea. Protected Horticulture and Plant Factory, 23(2): 148-157 (in Korean).   DOI
2 Kang, D. H., S. Y. Lee, J. K. Kim, H. K. Choi, M. J. Park, S. W. Yun, and J. K. Son. 2016. Suitability site selection by meteorological factors for the protected horticulture complex in Saemanguem. Protected Horticulture and Plant Factory, 25(1): 1-8 (in Korean).   DOI
3 Kim, C. H., K. P. Nam, and J. J. Lee. 2015. Quantification of climate change vulnerability index for extreme weather: Focused on typhoon case. Journal of Environmental Impact Assessment, 24(2): 190-203 (in Korean).   DOI
4 Korea Statistical Information Service (KOSIS). 2017. Available at: www.kosis.kr (Last accessed 2017-02-15).
5 Lee, J. W. 2013. Analysis of safety wind speed and snow depth for single-span plastic greenhouse according to growing crops. Current Research on Agriculture and Life Science, 31(4): 280-285 (in Korean).   DOI
6 Nam, S. W., and G. H. Ko. 2013. Analysis of structural types and design factors for fruit tree greenhouses. Protected Horticulture and Plant Factory, 22(1): 27-33 (in Korean).   DOI
7 National Disaster Information Center (NDIC). 2016. Available at: www.safekorea.go.kr (Last accessed 2016-11-12).
8 National Spatial Data Infrastructure (NSDI). 2016. Available at: www.nsdi.go.kr (Last accessed 2016-10-25).
9 Yoon, S. T., Y. H. Lee, S. H. Hong, M. H. Kim, K. K. Kang, Y. E. Na, and Y. J. Oh. 2013. Vulnerability assessment of cultivation facility by abnormal weather of climate change. Korean Journal of Agricultural and Forest Meteorology, 15(4): 264-272 (in Korean).   DOI
10 Yun, S. W., M. K. Choi, C. Yu, J. W. Lee, S. Y. Lee, and Y. C. Yoon. 2013a. Estimation of design load for greenhouse applicable in coastal reclaimed lands. Journal of Agriculture & Science, 47(3): 123-131 (in Korean).
11 Yun, S. W., M. K. Choi, C. Yu, S. Y. Lee, and Y. C. Yoon. 2013b. Estimation of design wind speed and snow depth for greenhouse in Korea. Journal of Agriculture & Science, 47(5): 273-291 (in Korean).