All Issue

2020 Vol.62, Issue 2 Preview Page
Percentile Approach of Drought Severity Classification in Evaporative Stress Index for South Korea

Evaporative Stress Index (ESI)의 국내 가뭄 심도 분류 기준 제시

Hee-Jin Leea
,
Won-Ho Namb†
,
Dong-Hyun Yoonc
,
Eun-Mi Hongd
,
Taegon Kime
,
Jong-Hwan Parkf
,
Dae-Eui Kimg
이 희진a
,
남 원호b†
,
윤 동현c
,
홍 은미d
,
김 태곤e
,
박 종환f
,
김 대의g
aGraduate Student, Department of Bioresources and Rural Systems Engineering, Hankyong National University, Anseong, Republic of Korea
bAssistant Professor, Department of Bioresources and Rural Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University, Anseong, Republic of Korea
cGraduate Student, Department of Bioresources and Rural Systems Engineering, Hankyong National University, Anseong, Republic of Korea
dAssistant Professor, School of Natural Resources and Environmental Science, Kangwon National University, Chuncheon, Republic of Korea
eResearch Associate, Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, USA
fResearcher, Rural Research Institute, Korea Rural Community Corporation, Ansan, Republic of Korea
gSenior Researcher, Rural Research Institute, Korea Rural Community Corporation, Ansan, Republic of Korea
a대한민국 안성 한경대학교 생물자원농촌시스템공학과 대학원생
b대한민국 안성 한경대학교 농업환경과학원 생물자원농촌시스템공학과 조교수
c대한민국 안성 한경대학교 생물자원농촌시스템공학과 대학원생
d대한민국 춘천 강원대학교 자연자원환경과학부 조교수
e미국 미네소타 주립 대학교, 세인트 폴, MN, 바이오프로덕트 및 바이오시스템 엔지니어링 학과 리서치 어소시에이트
f한국농어촌공사 농촌연구원 연구위원
g한국농어촌공사 농촌연구원 선임연구원
† Corresponding author Tel.: +82-31-670-5137, Fax: +82-31-670-5139E-mail: wonho.nam@hknu.ac.kr
2020. pp. 63-73
PDF XML Citation
Abstract

Drought is considered as a devastating hazard that causes serious agricultural, ecological and socio-economic impacts worldwide. Fundamentally, the drought can be defined as temporarily different levels of inadequate precipitation, soil moisture, and water supply relative to the long-term average conditions. From no unified definition of droughts, droughts have been divided into different severity level, i.e., moderate drought, severe drought, extreme drought and exceptional drought. The drought severity classification defined the ranges for each indicator for each dryness level. Because the ranges of the various indicators often don’t coincide, the final drought category tends to be based on what the majority of the indicators show and on local observations. Evaporative Stress Index (ESI), a satellite-based drought index using the ratio of potential and actual evaporation, is being used as a index of the droughts occurring rapidly in a short period of time from studies showing a more sensitive and fast response to drought compared to Standardized Precipitation Index (SPI), and Palmer Drought Severity Index (PDSI). However, ESI is difficult to provide an objective drought assessment because it does not have clear drought severity classification criteria. In this study, U.S. Drought Monitor (USDM), the standard for drought determination used in the United States, was applied to ESI, and the Percentile method was used to classify drought categories by severity. Regarding the actual 2017 drought event in South Korea, we compare the spatial distribution of drought area and understand the USDM-based ESI by comparing the results of Standardized Groundwater level Index (SGI) and drought impact information. These results demonstrated that the USDM-based ESI could be an effective tool to provide objective drought conditions to inform management decisions for drought policy.

Keywords
Satellite-based drought index
Evaporative Stress Index (ESI)
drought severity
drought severity classification
percentile approach
Standardized Groundwater level Index (SGI)
References

REFERENCES

1
R. G. Allen, L. S. Pereira, D. Raes and M. Smith, FAO Irrigation and Drainage Paper, Crop evapotranspiration: Guidelines for computing crop water requirements., 56, Rome.. Food and Agriculture Organization,. (1998)
2
M. C. Anderson, J. M. Norman, J. R. Mecikalski, J. A. Otkin and W. P. Kustas, Journal of Geophysical Research, A climatological study of evapotranspiration and moisture stress across the continental U.S. based on thermal remote sensing: I. model formulation., 112(D10117) (2007)10.1029/2006jd007506
3
Journal of Climate, Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States., 24; 2025-2044 (2011)10.1175/2010jcli3812.1
4
M. C. Anderson, C. Hain, J. Otkin, X. Zhan, K. Mo, M. Svoboda, B. Wardlow and A. Pimstein, Journal of Hydrometeorology, An intercomparison of drought indicators based on thermal remote sensing and NLDAS-2 simulations with U.S. drought monitor classifications., 14; 1035-1056 (2013)10.1175/jhm-d-12-0140.1
5
M. C. Anderson, C. A. Zolin, C. R. Hain, K. Semmens, M. T. Yilmaz and F. Gao, Journal of Hydrology, Comparison of satellite- derived LAI and precipitation anomalies over Brazil with a thermal infrared-based evaporative stress index for 2003- 2013., 526; 287-302 (2015)10.1016/j.jhydrol.2015.01.005
6
M. C. Anderson, C. A. Zolin, P. C. Sentelhas, C. R. Hain, K. Semmens, M. T. Yilmaz, F. Gao, J. A. Otkin and R. Tetrault, Remote Sensing of Environment , The evaporative stress index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts., 174(1); 82-99 (2016)10.1016/j.rse.2015.11.034
7
J. P. Bloomfield and B. P. Marchant, Hydrology and Earth System Sciences DiscussionsAnalysis of groundwater drought using a variant of the standarised precipitation index., 10(6); 7537-7574 (2013)10.5194/hessd-10-7537- 2013
8
L. G. Du Pisani, H. J. Fouché and J. C. Venter, Agricultural SystemsAssessing rangeland drought in South Africa., 57(3); 367-380 (1998)10.1016/s0308-521x(98)00024-9
9
M. J. Hayes, O. V. Wilhelmi and C. L. Knutson, Natural Hazards ReviewReducing drought risk: Bridging theory and practice., 5(2); 106-113 (2004)10.1061/(asce)1527-6988(2004)5:2(106)
10
R. R. Heim, Bulletin of the American Meteorological Society A review of twentieth-century drought indices used in the United States., 83(8); 1149-1165 (2002)10.1175/1520-0477-83.8.1149
11
E. M. Hong, W. H. Nam and J. Y. Choi, Journal of the Korean Society of Agricultural Engineers, Climate change impacts on agricultural drought for major upland crops using soil moisture model –Focused on the Jeollanam-do-., 57(3); 65-76, (in Korean). (2015)10.5389/ksae.2015.57.3.065
12
J. Keyantash and J Dracup, Bulletin of the American Meteorological SocietyThe quantification of drought: An evaluation of drought indices., 83(8); 1167-1180 (2002)10.1175/1520-0477-83.8.1167
13
S. J. Kim, M. I. Kim, C. H. Lim, W. K. Lee and B. J. Kim, Journal of Climate Change Research, Applicability analysis of FAO56 penman-monteith methodology for estimating potential evapotranspiration in Andong dam watershed using limited meteorological data., 8(2); 125-143, (in Korean). (2017)10.15531/ksccr.2017.8.2.125
14
Korea Meteorological Administration (KMA), 2017 abnormal climate report, (in Korean)., Seoul, Korea. Korea Meteorological Administration,. (2018)
15
J. J. Lee, S. U. Shin, J. H. Jeong and G. I. Chun, Journal of Korea Water Resources Association, Development of groundwater level monitoring and forecasting technique for drought analysis (Ⅰ) - Groundwater drought monitoring using standardized groundwater level index (SGI)., 51(11); 1011-1020, (in Korean). (2018)10.3741/JKWRA.2018.51.11.1011
16
H. J. Lee, W. H. Nam, D. H. Yoon, E. M. Hong, D. E. Kim, M. D. Svoboda, T. Tadesse and B. D. Wardlow, Journal of the Korean Society of Agricultural Engineers , Satellite-based evaporative stress index (ESI) as an indicator of agricultural drought in North Korea., 61(3); 1-14, (in Korean). (2019)10.5389/ksae.2015.57.4.001
17
T. B. McKee, N. J. Doesken and J. Kliest, In Proceedings of the 8th Conference of Applied Climatology,The relationship of drought frequency and duration to time scales.; 179-184, Boston, MA.. (1993)
18
Y. S. Mun, W. H. Nam, M. G. Jeon, T. Kim, E. M. Hong, M. J. Hayes and T. Tadesse, Journal of the Korean Society of Agriculture Engineers, Application of meteorological drought index using Climate Hazards Group InfraRed Precipitation wigh Station (CHIRPS) based on global satellite-assisted precipitation products in Korea., 61(2); 1-11, (in Korean). (2019)10.5389/ksae.2015.57.4.001
19
W. H. Nam, J. Y. Choi, S. H. Yoo and B. A. Engel, KSCE Journal of Civil Engineering, A real-time online drought broadcast system for monitoring soil moisture index., 16(3); 357-365 (2012)10.1007/s12205-012-1357-3
20
W. H. Nam, M. J. Hayes, D. A. Wilhite, T. Tadesse, M. D. Svoboda and C. L. Knutson, Magazine of the Korean Society of Agricultural EngineersDrought management and policy based on risk assessment in the context of climate change., 56(2); 2-15, (in Korean). (2014)
21
W. H. Nam, T. Tadesse, B. D. Wardlow, M. W. Jang and S. Y. Hong, Journal of the Korean Society of Agricultural Engineers, Satellite-based hybrid drought assessment using Vegetation Drought Response Index in South Korea (VegDRI-SKorea)., 57(4); 1-9, (in Korean). (2015a)10.5389/ksae.2015.57.4.001
22
W. H. Nam, M. J. Hayes, M. D. Svoboda, T. Tadesse and D. A. Wilhite, Agricultural Water ManagementDrought hazard assessment in the context of climate change for South Korea., 160; 106-117 (2015b)10.1016/j.agwat.2015.06.029
23
W. H. Nam, E. M. Hong, J. Y. Choi, T. G. Kim, M. J. Hayes and M. D. Svoboda, Journal of the Korean Society of Agricultural Engineers, Assessment of the extreme 2014-2015 drought events in North Korea using weekly Standardized Precipitation Evapotranspiration index (SPEI)., 59(4); 65-74, (in Korean). (2017)10.5989/KSAE.2017.59.4.065
24
J. M. Norman, W. P. Kustas, K. S. Humes, J. M. Norman, W. P. Kustas and K. S. Humes, Agricultural and Forest MeteorologySource approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature., 77(3-4); 263-292 (1995)10.1016/0168-1923(95)02265-y
25
J. A. Otkin, M. C. Anderson, C. Hain, I. E. Mladenova, J. B. Basara and M. Svoboda, Journal of Hydrometeorology, Examining rapid onset drought development using thermal infrared-based evaporative stress index., 14; 1057-1074 (2013)10.1175/jhm-d-12-0144.1
26
J. A. Otkin, M. C. Anderson, C. Hain and M. Svoboda, Journal of Hydrometeorology, Examining the relationship between drought development and rapid changes in the evaporative stress index., 15; 938-956 (2014)10.1175/jhm-d-13-0110.1
27
W. C. Palmer, Meteorological drought. Research Paper 45, US Department of Commerce Weather Bureau,. Washington DC..
28
A. D. Smith and R. W. Katz, Natural HazardsUS billion-dollar weather and climate disasters: Data sources, trends, accuracy and biases., 67; 387-410 (2013)10.1007/s11069-013-0566-5
29
K. H. Sohn, D. H. Bae and J. H. Ahn, Journal of the Korea Water Resources Association, Projection and analysis of drought according to future climate and hydrological information in Korea., 47(1); 71-82, (in Korean). (2014)10.3741/jkwra.2014.47.1.71
30
A. Steinemann, Journal of the American Water Resources Association, Drought triggers: A stochastic approach to evaluation., 39(5); 1217-1234 (2003)10.1111/j.1752-1688.2003.tb03704.x24843434PMC4020723
31
T. Sternberg, NatureRegional drought has a global impact., 472; 169 (2011)10.1038/472169d21490659
32
C. Y. Sur, K. J. Kim, W. J. Choi, J. H. Sim and M. H. Choi, Journal of Korean Society of Hazard Mitigation, Drought assessments using satellite-based drought index in Korea; Southern region case in 2013., 14(3); 127-131, (in Korean). (2014)10.9798/kosham.2014.14.3.127
33
M. Svoboda, D. LeComte, M. Hayes, R. Heim, K. Gleason, J. Angel, B. Rippey, R. Tinker, M. Palecki, D. Stooksbury, D. Miskus and S. Stephens, Bulletin of the American Meteorological SocietyThe drought monitor., 83(8); 1181-1190 (2002)10.1175/1520-0477-83.8.1181
34
D. A. Wilhite and M. H. Glantz, Water InternationalUnderstanding the drought phenomenon: The role of definitions., 10(3); 111-120 (1985)10.1080/02508068508686328
35
D. A. Wilhite, M. J. Hayes, C. Knutson and K. H. Smith, Journal of the American Water Resources Association, Planning for drought: Moving from crisis to risk management., 36(4); 697-710 (2000)10.1111/j.1752-1688.2000.tb04299.x24843434PMC4020723
36
Y. Xia, M. B. Ek, C. D. Peters-Lidard, D. Mocko, M. Svoboda, J. Sheffield and E. F. Wood, Journal of Geophysical Research: Atmosphere, Application of USDM statistics in NLDAS-2: Optimal blended NLDAS drought index over the continen-tal United States., 119; 2947-2965 (2014)10.1002/2013jd02099425855820
37
D. H. Yoon, W. H. Nam, H. J. Lee, E. M. Hong, T. G. Kim, A. K. Shin and M. D. Svoboda, Journal of the Korean Society of Agricultural Engineers, Application of evaporative stress index (ESI) for satellite-based agricultural drought monitoring in South Korea., 60(6); 121-131, (in Korean). (2018)10.5389/KSAE.2018.60.6.121
Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 62
  • No :2
  • Pages :63-73
  • Received Date : 2020-01-02
  • Revised Date : 2020-03-17
  • Accepted Date : 2020-03-17
  • DOI :https://doi.org/10.5389/KSAE.2020.62.2.063
Journal Informaiton Journal of Korean Society of Agricultural Engineers Journal of Korean Society of Agricultural Engineers
  • NRF
  • KOFST
  • crossref crossmark
  • crossref cited-by
  • crossref funder-registry
  • crosscheck
  • orcid
  • open access
Journal Informaiton Journal Informaiton - close