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http://dx.doi.org/10.7780/kjrs.2020.36.3.7

Development of Extreme Event Analysis Tool Base on Spatial Information Using Climate Change Scenarios  

Han, Kuk-Jin (Center for Environmental Data Strategy, Korea Environment Institute)
Lee, Moung-Jin (Center for Environmental Data Strategy, Korea Environment Institute)
Publication Information
Korean Journal of Remote Sensing / v.36, no.3, 2020 , pp. 475-486 More about this Journal
Abstract
Climate change scenarios are the basis of research to cope with climate change, and consist of large-scale spatio-temporal data. From the data point of view, one scenario has a large capacity of about 83 gigabytes or more, and the data format is semi-structured, making it difficult to utilize the data through means such as search, extraction, archiving and analysis. In this study, a tool for analyzing extreme climate events based on spatial information is developed to improve the usability of large-scale, multi-period climate change scenarios. In addition, a pilot analysis is conducted on the time and space in which the heavy rain thresholds that occurred in the past can occur in the future, by applying the developed tool to the RCP8.5 climate change scenario. As a result, the days with a cumulative rainfall of more than 587.6 mm over three days would account for about 76 days in the 2080s, and localized heavy rains would occur. The developed analysis tool was designed to facilitate the entire process from the initial setting through to deriving analysis results on a single platform, and enabled the results of the analysis to be implemented in various formats without using specific commercial software: web document format (HTML), image (PNG), climate change scenario (ESR), statistics (XLS). Therefore, the utilization of this analysis tool is considered to be useful for determining future prospects for climate change or vulnerability assessment, etc., and it is expected to be used to develop an analysis tool for climate change scenarios based on climate change reports to be presented in the future.
Keywords
Climate Change Scenario; Extreme Event; Spatial Information;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 KMA(Korea Meteorological Administration) GAW(Global Atmosphere Watch), 2017. RCP Scenarios, http://www.climate.go.kr/home/snr_greeting/rcp.php, Accessed on Apr. 27, 2020.
2 KMA(Korea Meteorological Administration) GAW(Global Atmosphere Watch), 2018. 2018 Climate Change Use Casebook, http://www.climate.go.kr/home/CCS/_image/web_manual/climate_ref.pdf, Accessed on Apr. 27, 2020.
3 KMA(Korea Meteorological Administration) GAW(Global Atmosphere Watch), 2019. Description of Downloadable Climate Change Scenario, http://www.climate.go.kr/home/CCS/_image/web_manual/data_information_v2.0.pdf, Accessed on Apr. 27, 2020.
4 Lee, M. J., I. H. Park, J. S. Won, and S. R. Lee, 2016. Landslide hazard mapping considering rainfall probability in Inje, Korea, Geomatics, Natural Hazards and Risk, 7(1): 424-446 (in Korean with English abstract).   DOI
5 Lee, M. J., W. K. Song, J. S. Won, I. H. Park, and S. R. Lee, 2014. Spatial and temporal change in landslide hazard by future climate change scenarios using probabilistic-based frequency ratio model, Geocarto International, 29(6): 639-662 (in Korean with English abstract).   DOI
6 Lim, C. H., 2015. The Vulnerability Assessment Forest Fire in Jeju to Climate Change using the VESTAP, Journal of Korean Institute of Fire Science & Engineering, 30(1): 57-62 (in Korean with English abstract).   DOI
7 Moon, K. H., E. Y. Song, I. C. Son, and Y. I. Moon, 2014. Application system establishment of digital agro-climate map for impact assessment of climate change on agriculture, National Institute of Horticultural and Herbal Science, Jeollabuk-do, Republic of Korea (in Korean with English abstract).
8 KMA(Korea Meteorological Administration), 2014. Meteorological technology & policy 2014. 6., Korea Meteorological Administration, Seoul, Republic of Korea.
9 Mun, S. J., C. W. Park, H. D. Lee, and S. W. Hwang, 2017. Mapping Vulnerability of Agriculture and Forestry Due to Climate Change using VESTAP, Proc. of the 2017 Korean Society of Agricultural Engineers Conference, Jeju, Sep. 15-17. p. 277.
10 NCEI(National Centers for Environmental Information), 2020. About NCEI, https://www.ncei.noaa.gov/about, Accessed on Apr. 27, 2020.
11 Oh, K. Y., M. J. Lee, and D. E. Han, 2016. Development of Web-Based Supporting Tool (VESTAP) for Climate Change Vulnerability Assesment in Lower and Municipal-Level Local Governments, Journal of the Korean Association of Geographic Information Studies, 19(1): 1-11 (in Korean with English abstract).   DOI
12 Oh, K. Y., M. J. Lee, and S. W. Jeon, 2017. Development of the Korean climate change vulnerability assessment tool (VESTAP)-Centered on health vulnerability to heat waves, Sustainability, 9(7): 1103.   DOI
13 Chung, U. R., J. P. Cho, and E. J. Lee, 2015. Evaluation of Agro-Climatic Index Using Multi-Model Ensemble Downscaled Climate Prediction of CMIP5, Korean Journal of Agricultural and Forest Meteorology, 17(2): 108-125 (in Korean with English abstract).   DOI
14 Park, C. Y., 2015. The classification of extreme climate events in the Republic of Korea, Journal of The Korean Association of Regional Geographers, 21(2): 394-410 (in Korean with English abstract).
15 Shim, C. S., J. H. Seo, J. H. Han, J. S. Ha, T. H. Ro, Y. S. Hwang, and J. J. Oh, 2017. Projection of future hot weather events and potential population exposure to this in South Korea, Climate Research, 72(1): 29-38.   DOI
16 UKCIP(United Kingdom Climate Impacts Programme), 2020. About us, https://www.ukcip.org.uk/aboutus/, Accessed on Apr. 27, 2020.
17 Baek, G. H., M. J. Lee, and B. J. Kang, 2011. Development of Spatial Statistical Downscaling Method for KMA-RCM by Using GIS, Journal of the Korean Association of Geographic Information Studies, 14(3): 136-149 (in Korean with English abstract).   DOI
18 Chae, Y. R., J. H. Lee, and C. Hope, 2017. Economic Analysis of Climate Change Damage in Korea Using SSP-RCP Scenario Matrix, Korea Environ - ment Institute, Sejong, Republic of Korea (in Korean with English abstract).
19 Climate-ADAPT(european Climate ADAPTation platform), 2020. About Climate-ADAPT, https://climate-adapt.eea.europa.eu/about, Accessed on Apr. 27, 2020.
20 Global Climate Strike in Korea, 2019. Purpose and Demand, http://climate-strike.kr/demand/, Accessed on Apr. 27, 2020.
21 Han, H. J., 2011. Development of Future Land Use Scenarios Consistent with Climate Change Storylines, Korea Environment Institute, Sejong, Republic of Korea (in Korean with English abstract).
22 Kim, W. Y. and B. G. Chae, 2009. Characteristics of Rainfall, Geology and Failure Geometry of the Landslide Areas on Natural Terrains, Korea, The Journal of Engineering Geology, 19(3): 331-344 (in Korean with English abstract).
23 Hong, W. P., Y. W. Kim, S. K. Kim, J. G. Han, and M. Kim, 1990. Prediction of Rainfall-triggered Landslides in Korea, Journal of Korean Society of Geotechnical Engineers, 6(2): 55-63 (in Korean with English abstract).
24 Kang, J. E., M. J. Lee, Y. S. Goo, G. W. Jo, and J. W. Lee, 2011. Urban Renewal Strategy for Adapting to Climate Change: Use of Green Infrastructure on Flood Mitigation, Korea Environment Institute, Sejong, Republic of Korea (in Korean with English abstract).
25 Kim, D. H., S. J. Lee, and M. J. Lee, 2013. Spatial Planning Method and Applications for Climate Change Adaptation, Korea Environment Institute, Sejong, Republic of Korea (in Korean with English abstract).