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증발산 기반 ESI와 EDDI를 활용한 2022년 남부지역의 농업 가뭄 분석

Comparative Analysis of the 2022 Southern Agricultural Drought Using Evapotranspiration-Based ESI and EDDI

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초록

Global warming-induced drought inflicts significant socio-economic and environmental damage. In Korea, the persistent drought in the southern regionsince 2022 has severely affected water supplies, agriculture, forests, and ecosystems due to uneven precipitation distribution. To effectively prepare forand mitigate such impacts, it is imperative to develop proactive measures supported by early monitoring systems. In this study, we analyzed thespatiotemporal changes of multiple evapotranspiration-based drought indices, focusing on the flash drought event in the southern region in 2022. Theindices included the Evaporative Demand Drought Index (EDDI), Standardized Precipitation Evapotranspiration Index (SPEI) considering precipitationand temperature, and the Evaporative Stress Index (ESI) based on satellite images. The Standardized Precipitation Index (SPI) and SPEI indices utilizedtemperature and precipitation data from meteorological observation stations, while the ESI index was based on satellite image data provided by theMODIS sensor on the Terra satellite. Additionally, we utilized the Evaporative Demand Drought Index (EDDI) provided by the North Oceanic andAtmospheric Administration (NOAA) as a supplementary index to ESI, enabling us to perform more effective drought monitoring. We compared thedegree and extent of drought in the southern region through four drought indices, and analyzed the causes and effects of drought from variousperspectives. Findings indicate that the ESI is more sensitive in detecting the timing and scope of drought, aligning closely with observed drought trends.

Abstract

Global warming-induced drought inflicts significant socio-economic and environmental damage. In Korea, the persistent drought in the southern regionsince 2022 has severely affected water supplies, agriculture, forests, and ecosystems due to uneven precipitation distribution. To effectively prepare forand mitigate such impacts, it is imperative to develop proactive measures supported by early monitoring systems. In this study, we analyzed thespatiotemporal changes of multiple evapotranspiration-based drought indices, focusing on the flash drought event in the southern region in 2022. Theindices included the Evaporative Demand Drought Index (EDDI), Standardized Precipitation Evapotranspiration Index (SPEI) considering precipitationand temperature, and the Evaporative Stress Index (ESI) based on satellite images. The Standardized Precipitation Index (SPI) and SPEI indices utilizedtemperature and precipitation data from meteorological observation stations, while the ESI index was based on satellite image data provided by theMODIS sensor on the Terra satellite. Additionally, we utilized the Evaporative Demand Drought Index (EDDI) provided by the North Oceanic andAtmospheric Administration (NOAA) as a supplementary index to ESI, enabling us to perform more effective drought monitoring. We compared thedegree and extent of drought in the southern region through four drought indices, and analyzed the causes and effects of drought from variousperspectives. Findings indicate that the ESI is more sensitive in detecting the timing and scope of drought, aligning closely with observed drought trends.

참고문헌 (42)

  1. Anderson, M. C., "A climatological study of evapotranspiration and moisture stress across the continental U.S. based on thermal remote sensing: I. model formulation", Journal of Geophysical Research, 112, pp.D10117~ (2007)[DOI]
  2. Anderson, M. C., "Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States", Journal of Climate, 24, pp.2025~2044 (2011)[DOI]
  3. Anderson, M. C., "An intercomparison of drought indicators based on thermal remote sensing and NLDAS-2 simulations with U. S. drought monitor classifications", Journal of Hydrometeorology, 14, pp.1035~1056 (2013)[DOI]
  4. Anderson, M. C., "The evaporative stress index as an indicator of agricultural drought in Brazil : An assessment based on crop yield impacts", Remote Sensing of Environment, 174, pp.82~99 (2016)[DOI]
  5. Cho, J. H., "A satellite imagery-based survey of reclaimed land in South Pyongan province, North Korea", Journal of the Korean Society of Agricultural Engineers, 65(6), pp.79~91 (2023)[DOI]
  6. Getahun, Y. S., "Flash drought evaluation using evaporative stress and evaporative demand drought indices : A case study from Awash River Basin(ARB), Ethiopia", Theoretical and Applied Climatology, 155(1), pp.85~104 (2024)[DOI]
  7. Hobbins, M. T., "The evaporative demand drought index. Part I : Linking drought evolution to variations in evaporative demand", Journal of Hydrometeorology, 17(6), pp.1745~1764 (2016)[DOI]
  8. Jang, M. W., "Analysis of spring drought using NOAA", AVHRR NDVI for North Korea, 2007, pp.49(6), 23~36
  9. Jeon, M. G., "Comparison of reference evapotranspiration estimation methods with limited data in South Korea", Korean Journal of Agricultural Science, 46(1), pp.137~149 (2019)[DOI]
  10. Jeon, M. G., "Drought risk assessment for upland crops using satellite-derived evapotranspiration and soil available water capacity", Journal of the Korean Society of Hazard Mitigation, 21(1), pp.25~33 (2021)[DOI]
  11. Jeong, J. H., "A study on the utilization of geostationary ocean color imager on communication, ocean and meteorological satellite for drought monitoring", Journal of the Korean Society of Hazard Mitigation, 17(3), pp.69~77 (2017)[DOI]
  12. Kim, H. J., "Development of a surrogate model based on temperature for estimation of evapotranspiration and its use for drought index applicability assessment", Journal of Korea Water Resources Association, 54(11), pp.969~983 (2021)[DOI]
  13. Kim, M. S., "A study on target standardized precipitation index in Korea", Journal of the Korean Society of Civil Engineers, 34(4), pp.1117~1123 (2014)[DOI]
  14. Abnormal climate report, "Korea Meteorological Administration", ~ (2022)
  15. Lee, H. J., "Evaluation of agricultural drought in North Korea using the Evaporative Stress Index(ESI)based on satellite images", Journal of the Korean Society of Agricultural Engineers, 61(3), pp.1~14 (2019)[DOI]
  16. Lee, H. J., "Proposal of domestic drought severity classification criteria for the Evaporative Stress Index(ESI)", Journal of the Korean Society of Agricultural Engineers, 62(2), pp.63~73 (2020)[DOI]
  17. Lee, H. J., "Estimation of water storage in small agricultural reservoir using Sentinel-2 satellite imagery", Journal of the Korean Society of Agricultural Engineers, 62(6), pp.1~9 (2020)[DOI]
  18. Lee, H. J., "Detection of flash drought using evaporative stress index in South Korea", Journal of Korea Water Resources Association, 54(8), pp.577~587 (2021)[DOI]
  19. Lee, H. J., "Flash drought onset and development mechanisms using Flash Drought Intensity Index(FDII)based on satellite-based soil moisture", Journal of the Korean Society of Agricultural Engineers, 65(3), pp.57~67 (2023)[DOI]
  20. McKee, T. B., "The relationship of drought frequency and duration to time scale", Proceedings of the 8th Conference of Applied Climatology, pp.179~184 (1993), American Meteorological Society
  21. Monteith, J. L., "Evaporation and environment", Symposium of the Society of Experimental Biology, 19, pp.205~224 (1965)
  22. Mun, Y. S., "Evaluation and comparison of meteorological drought index using multi-satellite based precipitation products in East Asia", Journal of the Korean Society of Agricultural Engineers, 62(1), pp.85~95 (2020)[DOI]
  23. Nam, W. H., "Drought hazard assessment in the context of climate change for South Korea", Agricultural Water Management, 160, pp.106~117 (2015)[DOI]
  24. Nam, W. H., "Satellite-based hybrid drought assessment using vegetation drought response index in South Korea(VegDRI-SKorea)", Journal of the Korean Society of Agricultural Engineers, 57(4), pp.1~9 (2015)[DOI]
  25. Nam, W. H., "How climate change has affected the spatio-temporal patterns of precipitation and temperature at various time scales in North Korea", International Journal of Climatology, 36, pp.722~734 (2016)[DOI]
  26. Nam, W. H., "Assessment of the extreme 2014-2015 drought events in North Korea using weekly standardized precipitation evapotranspiration index(SPEI)", Journal of the Korean Society of Agricultural Engineers, 59(4), pp.65~74 (2017)[DOI]
  27. Nam, W. H., "Developing the vegetation drought response index for South Korea(VegDRI-SKorea)to assess the vegetation condition during drought events", International Journal of Remote Sensing, 39(5), pp.1548~1574 (2018)[DOI]
  28. Otkin, J. A., "Examining rapid onset drought development using thermal infrared-based evaporative stress index", Journal of Hydrometeorology, 14, pp.1057~1074 (2013)[DOI]
  29. Park, C. E., "Spatial and temporal aspects of drought in South Korea based on standardized precipitation index(SPI)and palmer drought severity index(PDSI). Journal of Agricultural", Life and Environmental Sciences, 29(3), pp.202~214 (2017)[DOI]
  30. Parker, T., "Flash drought in Australia and its relationship to evaporative demand", Environmental Research Letters, 16(6), pp.064033~ (2021)[DOI]
  31. Pendergrass, A. G., "Flash droughts present a new challenge for subseasonal-to-seasonal prediction", Nature Climate Change, 10(3), pp.191~199 (2020)[DOI]
  32. User’s guide MODIS global terrestrial evapotranspiration (ET) product (MOD16A2, "A3 and year-end gap-filled MOD16A2GF", A3GF) NASA earth observing system MODIS land algorithm (For collection 6), NASA, pp.2019, ~
  33. Stagge, J. H., "Candidate distributions for climatological drought indices(SPI and SPEI)", International Journal of Climatology, 35, pp.4027~4040 (2015)[DOI]
  34. Sur, C. Y., "Drought assessments using satellite-based drought index in Korea; Southern region case in 2013", Journal of Korean Society of Hazard Mitigation, 14(3), pp.127~131 (2014)[DOI]
  35. Sur, C. Y., "Assessment of soil moisture-vegetation-carbon flux relationship for agricultural drought using optical multispectral sensor", Journal of Korea Water Resources Association, 56(11), pp.721~728 (2023)[DOI]
  36. Sur, C. Y., "Application of VIIRS land products for agricultural drought monitoring", Journal of Korea Water Resources Association, 56(11), pp.729~735 (2023)[DOI]
  37. Thornthwaite, C. W., "An approach toward rational classification of climate", Geographical Review, 38(1), pp.55~94 (1948)[DOI]
  38. Vicente-Serrano, S. M., "A multiscalar drought index sensitive to global warming : The standardized precipitation evapotranspiration index", Journal of Climate, 23(7), pp.1696~1718 (2010)[DOI]
  39. Won, J. E., "Applicability of the evaporative demand drought index", Journal of Korean Society of Hazard Mitigation, 18(6), pp.431~442 (2018)[DOI]
  40. Yoon, D. H., "Application of evaporative stress index(ESI)for satellite-based agricultural drought monitoring in South Korea", Journal of the Korean Society of Agricultural Engineers, 60(6), pp.121~131 (2018)[DOI]
  41. Yoon, D. H., "Evaluation of the applicability of the Evaporative Stress Index(ESI)for agricultural drought monitoring based on satellite images", Journal of the Korean Society of Agricultural Engineers, 60(6), pp.121~131 (2018)[DOI]
  42. Yoon, D. H., "Drought risk assessment using ESI based on MODIS satellite images and ROC analysis", Journal of the Korean Society of Agricultural Engineers, 62(3), pp.51~61 (2020)[DOI]

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