과제정보
이 논문은 행정안전부 재난안전공동연구 기술개발사업의 지원을 받아 수행된 연구임(2022-MOIS63-001(RS-2022-ND641011)).
참고문헌
- Breiman, L., Friedman, J.H., Olshen, R.A., and Stone, C.J. (1984). Classification and regression trees. Routledge. New York, NY, U.S.
- California Department of Water Resources (California DWR) (2010). California drought contingency plan. Sacramento, CA, U.S.
- Connecticut Interagency Drought Workgroup (Connecticut IDW) (2018). Connecticut drought preparedness and response plan. Hartford, CT, U.S.
- Jeon, Y., and Cho, H. (2019). "Model based hybrid decision tree." Journal of the Korean Data & Information Science Society, Vol. 30, No. 3, pp. 515-524. https://doi.org/10.7465/jkdi.2019.30.3.515
- Kass, GV. (1980). "An exploratory technique for investigating large quantities of categorical data." Journal of the Royal Statistical Society Series C, Vol. 29, No. 2, pp. 119-127. https://doi.org/10.2307/2986296
- Korea Meteorological Administration (KMA) (2023). Hydrometeorological drought information system, accessed 10 April 2023, <https://hydro.kma.go.kr/>.
- Lee, J., and Lee, S. (2022). "A preliminary study on the cooperative multi-ministry decision on the integrated drought warning alert stage using rule-based hybrid techniques." The Korea Spatial Planning Review, Vol. 114. pp. 3-16. https://doi.org/10.15793/KSPR.2022.114..001
- Lee, S., and Cha, D. (2015). "A study on the urgency and obstacles to introducing a drought disaster management system." Magazine of Korea Water Resources Association Water for Future, Vol. 48, No. 9, pp. 24-27.
- Lee, S., Jeon, D., Lee, J., Kwon, H., and Kam, J. (2023). "Measures to improve the preparedness and response system in terms of disaster management due to the deepening and spread of drought in the Gwangju and Jeollanam-do." Korea Research Institute for Human Settlements Policy Brief, No. 907, pp. 1-8.
- Ministry of Agriculture, Food and Rural Affairs (MAFRA) (2023). Agricultural drought management system, accessed 10 April 2023, <https://adms.ekr.or.kr/>.
- Ministry of Public Safety and Security (MPSS) (2016). Ministry of public safety and security, First warning alert announced, accessed 15 April 2023, <https://www.mois.go.kr/mpss/safe/open/press/%3Bjsessionid=PIzlu-kyeDibsgxnVEi2RLFi.node11?boardId=bbs_0000000000000047&mode=view&cntId=834&category=&pageIdx=64&searchCondition=&searchKeyword=>
- Ministry of the Interior and Safety (MOIS) (2023). Korea, accessed 10 April 2023, <https://www.mois.go.kr/>.
- Multi-ministries Cooperative (2020). Comprehensive drought measure.
- Multi-ministries Cooperative (2023). Drought diagnosis and future measures: Drought response project card.
- National Disaster Management Research Institute (NDMI) (2021). Research on development and strategic plan of the national integrated drought management technology.
- New Mexico Office of the State Engineer (New Mexico OSE) and Water Resources Research Institute (WRRI) (2018). New Mexico drought plan: 2018. NM, U.S.
- Quinlan, J.R. (1993). "C4.5: Programs for machine learning." Morgan Kaufmann Publishers. Burlington, MA, U.S.
- Svoboda, M., LeComte, D., Hayes, M., Heim, R., Gleason, K., Angel, J., Rippey, B., Tinker, R., Palecki, M., Stooksbury, D., Miskus, D., and Stephens, S. (2002). "The drought monitor." Bulletin of the American Meteorological Society, Vol. 83, No. 8, pp. 1181-1190. https://doi.org/10.1175/1520-0477(2002)083<1181:TDM>2.3.CO;2
- Yoon, H., Lee, C., Choi, C., Hwang, J., Kim, M., Jo, H., Kim, W., and Jun, W. (2020). The development of integrated drought information assessment technique for regional customization. National Disaster Management Research Institute.