1 |
Belayneh, A., Adamowski, J., Khalil, B., and Ozga-Zielinski, B. (2013). "Long-term SPI drought forecasting in the Awash River basin in Ethiopia using wavelet neural network and wavelet support vector regression models." Journal of Hydrology, Vol. 508, pp. 418-429.
DOI
|
2 |
Jang, O.J., Moon, Y.I., and Moon, H.T. (2021). "Methodology for assessment and forecast of drought severity based on the water balance analysis." Journal of Korea Water Resource Associate, Vol. 54, No. 4, pp. 241-254.
|
3 |
Kogan, F.N. (2000). "Contribution of remote sensing to drought early warning." Proceedings of an Expert Group Meeting: Early Warning Systems for Drought Preparedness and Drought Management, WMO, Lisbon, Portugal, pp. 86-100.
|
4 |
Nam, W.H., Choi, J.Y., Yoo, S.H., and Jang, M. W. (2012). "A decision support system for agricultural drought management using risk assessment." Paddy and Water Environment, Vol. 10, pp. 197-207.
DOI
|
5 |
Wilhite, D.A., Svoboda, M.D. (2000). Drought early warning systems in the context of drought preparedness and Mitigation, World Meteorological Organization, Geneva, Switzerland, pp. 1-21.
|
6 |
Yue, Y., Wang, L., Li, J., and Zhu, A. (2018). "An EPIC model-based wheat drought risk assessment using new climate scenarios in China." Climate Change, Vol. 147, pp. 539-553.
DOI
|
7 |
Zargar, A., Sadiq, R., Naser, B., and Khan, F.I. (2011). "A review of drought indices." Environmental Reviews, Vol. 19, pp. 333-349.
DOI
|
8 |
Gusyev, M.A., Hasegawa, A., Magome, J., Umino, H., and Sawano, H. (2015). "Drought assessment in the Pampanga River basin, the Philippines. III: Evaluating climate change impacts on dam infrastructure with standardized indices." Proceedings 21st International Congress on Modelling and Simulation, MSSANZ, Canberra, Australia. pp. 1586-1592.
|
9 |
Allen, R.G, Pereira, L.S., Raes, D., and Smith, M. (1998). Crop evapotranspiration - guidelines for computing crop water requirements. FAO irrigation and drainage paper 56, ISBN 92-5-104219-5, Food and Agriculture Organization, Rome, Italy, pp. 15-86.
|
10 |
Bloomfield, J.P., and Marchant, B.P. (2013). "Analysis of groundwater drought building on the standardised precipitation index approach." Hydrology and Earth System Sciences, Vol. 17, pp. 4769-4787.
DOI
|
11 |
Kim, S.J., Kim, M.I., Lim, C.H., Lee, W.K., and Kim, B.J. (2017). "Applicability analysis of FAO-56 Penman-Monteith methodology for estimating potential evapotranspiration in Andong dam watershed using limited meterological data." Journal of Climate Change Research, Vol. 8, No. 2, pp. 125-143.
DOI
|
12 |
Kim, S.J., Parhi, P., Jun, H.D., and Lee, J.H. (2018). "Evaluation of drought severity with a Bayesian Network analysis of multiple drought indices." Journal of Water Resources Planning and Management, Vol. 144, No. 1, pp. 1-10.
|
13 |
K-water (2007). K-MODSIM manual ver. 1.1, pp. 1-40.
|
14 |
National Drought Information-Analysis Center (NDIC). (2016). Response guidebook for drought disaster, p. 117.
|
15 |
Lim, J.D., and Yang, J.S. (2020). "Possibility analysis of future droughts using long short term memory and standardized groundwater level index." Journal of Korea Water Resource Associate, Vol. 53, No. 2, pp. 131-140.
|
16 |
McKee, T.B., Doesken, N.J., and Kleist, J. (1993). "The relationship of drought frequency and duration to time scales." 8th Conference on Applied Climatology, AMS Publications, Boston, MA, U.S.
|
17 |
Ministry of the Interior and Safety (MOIS). (2018). National statistical information for drought in the year 2018, pp. 117-128.
|
18 |
Naumann, G., Spinoni, J., Vogt, J.V., and Barbosa, P. (2015). "Assessment of drought damages and their uncertainties in Europe." Environmental Research Letters, Vol. 10, pp. 1-14.
|
19 |
Nielsen, M. (2020). Neural networks and deep learning, accessed 10 October 2020, .
|
20 |
Raschka, S., and Mirjalili, V. (2019). Python Machine Learning-Second Edition, Packt, Birmingham, U.K., pp. 418-455.
|
21 |
Shukla, S., and Wood, A.W. (2008). "Use of a standardized runoff index for characterizing hydrologic drought." Geophysical Research Letters, Vol. 35, No. 2, L02405.
DOI
|
22 |
Korea Meteorological Administration (KMA) (2020). Korea, accessed 05 November 2020, .
|
23 |
Vicente-Serrano, S.M., Begueria, S., and Lopez-Moreno, J.I. (2010). "A multi-scalar drought index sensitive to global warming: the Standardized Precipitation Evapotranspiration Index." Journal of Climate, Vol. 23, pp. 1696-1718.
DOI
|
24 |
Water Resources Management Information System (WAMIS) (2020). Korea, accessed 22 October 2020, .
|
25 |
Wilhite, D.A. (1993). Drought assessment, management, and planning: theory and case studies. Natural Resource Management and Policy Series. ISBN No. 978-0-7923-9337-5, Kluwer Publishers, Boston, MA, U.S., pp. 3-15.
|
26 |
Ministry of Land, Infrastructure and Transport (MOLIT). (2016). National water resources plan (2001~2020) (3rd rev.). Publication No. 11-1613000-001716-13, pp. 198-233.
|