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Standar Dization and Evaluation of PDSI Calculation Method for Korean Drought Management Agencies

국내 가뭄관리 기관별 PDSI 산정방법의 표준화 및 평가

  • Received : 2013.10.09
  • Accepted : 2013.11.10
  • Published : 2013.12.31

Abstract

The objective of this study is to standardize the calculation method of Palmer Drought Severity Index (PDSI) for the three Drought Management Agencies (DMA) in south Korea, and to evaluate the PDSI applicability. For comparison and review of the method, the code and input data of PDSI are collected from each DMA. The calculation method is the same, but the used input data (number of meteorological stations, normal year period, Available Water Capacity (AWC) of the soil) are different. Through discussions with drought experts and literature review, the standardized method is determined. 61 stations which have the data period more than 30 years are selected. Also the normal year is fixed for 30 years and updated every 10 years. The observed AWC is utilized using GIS data. Empirical equation of PDSI is re-estimated according to domestic climate characteristics. For evaluating the standardized PDSI, past drought events are investigated and drought indices including the existing SPI and PDSI are used for comparative analysis. As results, although the accuracy of standardized PDSI through ROC analysis is lower than SPI, the newly standardized PDSI is better than existing PDSI from DMA, Also it reasonably explain the spatial drought situation through the spatial analysis.

Keywords

References

  1. Bae, D.-H., K.-H. Son, and H.-A. Kim, 2013: Derivation & Evaluation of Drought Threshold Level Considering Hydro-meteorological Data on South Korea. J. Korea Water Resour. Assoc., 46, 287-299. https://doi.org/10.3741/JKWRA.2013.46.3.287
  2. Bae, D.-H., K.-H. Son, J.-B. Ahn, J.-Y. Hong, G.-S. Kim, J.-S. Chung, U.-S. Jung, and J.-K. Kim, 2012: Development of Real-Time Drought Monitoring and Prediction System on Korea & East Asia Region. Atmos., 22, 267-277. https://doi.org/10.14191/Atmos.2012.22.2.267
  3. Barnes, S., 1964: A technique for maximizing details in numerical map analysis. J. Appl. Meteorol., 3, 395-409.
  4. Bras, R. L., 1990: Hydrology. Addison-Wesley Publishing Company.
  5. Kim, K.-S., and J.-W. Lee, 2012: Evaluation of Drought Indices using the Drought Records. J. Korea Water Resour. Assoc., 44, 639-652. https://doi.org/10.3741/JKWRA.2011.44.8.639
  6. KMA (Korea Meteorological Administration), 2007: Development of industrial meteorological index, technical report of KMA.
  7. KMA (Korea Meteorological Administration), 2012: Development of climatological-hydrological alarm system for climate change adaptation, KMA report.
  8. Lee, D.-R., J.-W. Moon, S.-J. Choi, and S.-K. Kang, 2008: An Evaluation of the Palmer Drought Severity Index in Korea. J. Korea Water Resour. Assoc., 39, 352-356.
  9. Lee, J.-H., S.-M. Jung, S.-J. Kim, and M.-H. Lee, 2006: Development of Drought Monitoring System : 1. Applicability of Drought Indices for Quantitative Drought Monitoring. J. Korea Water Resour. Assoc., 39, 787-800. https://doi.org/10.3741/JKWRA.2006.39.9.787
  10. Mckee, T. B., N. J. Doesken, and J. Kleist, 1993: The Relationship of Drought Frequency and Duration to Time Scales. 8th Conference on Applied Climatology, 17-22 January, Anaheim, California.
  11. NEMA (National Emergency Management Agency), 2013: Development of national information system for drought disaster monitoring, NEMA report.
  12. Palmer, W. C., 1965: Meteorological drought, Research paper. 45, U.S. Weather Bureau.
  13. Ryu, J.-H., D.-R. Lee, J.-H. Ann, and Y.-N. Yoon, 2002: A Comparative Study on the Drought Indices for Drought Evaluation. J. Korea Water Resour. Assoc., 35, 397-410. https://doi.org/10.3741/JKWRA.2002.35.4.397
  14. Son, K.-H., M.-H. Lee, and D.-H. Bae, 2011: Drought Analysis and Assessment Using Land Surface Model on South Korea. J. Korea Water Resour. Assoc., 40, 1063-1074.
  15. Thornthaite, C. W., and J. R. Mater, 1955: The water budget and its use in irrigation, Water-Yearbook of Agriculture 1955, U.S. Dept. of Agriculture, pp. 346-358.
  16. Wells, N., S. Goddard, and M. J. Hayes, 2004: A self-Calibrating Palmer Drought Severity Index. J. Climate, 17, 2335-2351. https://doi.org/10.1175/1520-0442(2004)017<2335:ASPDSI>2.0.CO;2
  17. Yoon, Y.-N., J.-H. Ann, and D.-R. Lee, 1997: An Analysis of Drought Using the Palmer's Method. J. Korea Water Resour. Assoc., 30, 143-152.

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