Acknowledgement
This research was supported by a grant(2022-MOIS63-001(RS-2022-ND641011)) of Cooperative Research Method and Safety Management Technology in National Disaster funded by Ministry of Interior and Safety(MOIS, Korea).
References
- Achite, M., Ceribasi, G., Ceyhunlu, A. I., Walega, A. and Caloiero, T. (2021). "The innovative polygon trend analysis (IPTA) as a simple qualitative method to detect changes in environment-Example detecting trends of the total monthly precipitation in semiarid area." Sustainability, Vol. 13, No. 22, pp. 12674, https://doi.org/10.3390/su132212674.
- Akcay, F., Bingolbali, B., Akpinar, A. and Kankal, M. (2022). "Trend detection by innovative polygon trend analysis for winds and waves." Frontiers in Marine Science, Vol. 9, pp. 930911, https://doi.org/10.3389/fmars.2022.930911.
- Al-Najjar, H., Purnama, A., Ozkan, K. and Abualtayef, M. (2022). "Analysis of extreme rainfall trend and mapping of the Wadi pluvial flood in the Gaza coastal plain of Palestine." Acta Geophysica, Vol. 70, No. 5, pp. 2135-2147, https://doi.org/10.1007/s11600-022-00890-9.
- Da Silva, R. M., Santos, C. A., Moreira, M., Corte-Real, J., Silva, V. C. and Medeiros, I. C. (2015). "Rainfall and river flow trends using Mann-Kendall and Sen's slope estimator statistical tests in the Cobres River basin." Natural Hazards, Vol. 77, pp. 1205-1221, https://doi.org/10.1007/s11069-015-1644-7.
- Hirca, T., Eryilmaz Turkkan, G. and Niazkar, M. (2022). "Applications of innovative polygonal trend analyses to precipitation series of Eastern Black Sea Basin, Turkey." Theoretical and Applied Climatology, Vol. 147, No. 1-2, pp. 651-667, https://doi.org/10.1007/s00704-021-03837-0.
- Intergovernmental Panel on Climate Change (IPCC). (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change.
- Jeonnam Green Environment Center (JNGEC). (2022). 3rd Jeollanam-do climate change multi-measure detailed implementation plan (2022~2026) (in Korean).
- Jin, D. H., Jang, S. H., Kim, H. K. and Lee, Y. S. (2021). "A trend analysis of seasonal average temperatures over 40 years in South Korea using Mann-Kendall test and sen's slope." The Korean Journal of Applied Statistics, Vol. 34, No. 3, pp. 439-447, https://doi.org/10.5351/KJAS.2021.34.3.439 (in Korean).
- Kim, G. S., Yim, T. K. and Park, C. H. (2009). "Analysis of the secular trend of the annual and monthly precipitation amount of South Korea." Journal of the Korean Society of Hazard Mitigation, Vol. 9, No. 6, pp. 17-30 (in Korean).
- Kim, J., Kwak, J., Hwang, S., Jun, S. M., Lee, S., Lee, J. N. and Kang, M. S. (2021). "Analysis of flood control capacity of agricultural reservoir based on SSP climate change scenario." Journal of the Korean Society of Agricultural Engineers, Vol. 63, No. 5, pp. 49-62, https://doi.org/10.5389/KSAE.2021.63.5.049 (in Korean).
- Korea Meteorological Administration (KMA). (2023a). A Manual on the Use of Climate Change Scenario Data (in Korean).
- Korea Meteorological Administration (KMA). (2023b). Climate Change Outlook Report for Jeollabuk-do (in Korean).
- San, M., Akcay, F., Linh, N. T. T., Kankal, M. and Pham, Q. B. (2021). "Innovative and polygonal trend analyses applications for rainfall data in Vietnam." Theoretical and Applied Climatology, Vol. 144, pp. 809-822, https://doi.org/10.1007/s00704-021-03574-4.
- Sen, Z. (2012). "Innovative trend analysis methodology." Journal of Hydrologic Engineering, Vol. 17, No. 9, pp. 1042-1046, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000556.
- Sen, Z., Sisman, E. and Dabanli, I. (2019). "Innovative polygon trend analysis (IPTA) and applications." Journal of Hydrology, Vol. 575, pp. 202-210, https://doi.org/10.1016/j.jhydrol.2019.05.028.
- Seo, L., Kim, T. W. and Kwon, H. H. (2012). "Investigation of trend variations in annual maximum rainfalls in South Korea." KSCE Journal of Civil Engineering, Vol. 16, pp. 215-221, https://doi.org/10.1007/s12205-012-0004-3.
- Serinaldi, F., Chebana, F. and Kilsby, C. G. (2020). "Dissecting innovative trend analysis." Stochastic Environmental Research and Risk Assessment, Vol. 34, pp. 733-754, https://doi.org/10.1007/s00477-020-01797-x.
- Song, Y. H., Shahid, S. and Chung, E. S. (2022). "Differences in multi-model ensembles of CMIP5 and CMIP6 projections for future droughts in South Korea." International Journal of Climatology, Vol. 42, No. 5, pp. 2688-2716, https://doi.org/10.1002/joc.7386.
- Yun, J. H., Hwang, S., Kim, D. H. and Kim, S. M. (2015). "Trend analysis of monthly water quality data in Nakdong River based on seasonal Mann-Kendall test." Journal of the Korean Society of Agricultural Engineers, Vol. 57, No. 6, pp. 153-162, https://doi.org/10.5389/KSAE.2015.57.6.153 (in Korean).