본문 바로가기
KERD
논문

Evaporative Stress Index (ESI)를 활용한 북한의 위성영상기반 농업가뭄 평가

Satellite-based Evaporative Stress Index (ESI) as an Indicator of Agricultural Drought in North Korea

남원호|홍은미|윤동현|이희진|김대의|Tsegaye Tadesse|Mark D. Svobodaf|Brian D. Wardlow
한국농공학회 (The Korean Society Of Agricultural Engineers)|2019.05|한국농공학회논문집 (Journal of the Korean Society of Agricultural Engineers)|제61권 제3호|pp. 1-14|DOI https://doi.org/10.5389/KSAE.2019.61.3.001

2

조회

0

다운로드

14

인용

0

참고문헌

키워드

agricultural droughtStandardized Precipitation Index (SPI)drought monitoringSatellite-based drought indexEvaporative Stress Index (ESI)
주제분류농학

초록

North Korea has frequently suffered from extreme agricultural crop droughts, which have led to food shortages, according to the Food and AgricultureOrganization (FAO). The increasing frequency of extreme droughts, due to global warming and climate change, has increased the importance ofenhancing the national capacity for drought management. Historically, a meteorological drought index based on data collected from weather stations hasbeen widely used. But it has limitations in terms of the distribution of weather stations and the spatial pattern of drought impacts. Satellite-based datacan be obtained with the same accuracy and at regular intervals, and is useful for long-term change analysis and environmental monitoring and widearea access in time and space. The Evaporative Stress Index (ESI), a satellite-based drought index using the ratio of potential and actual evaporation,is being used to detect drought response as a index of the droughts occurring rapidly over short periods of time. It is more accurate and provides fasteranalysis of drought conditions compared to the Standardized Precipitation Index (SPI), and the Palmer Drought Severity Index (PDSI). In this study,we analyze drought events during 2015-2017 in North Korea using the ESI satellite-based drought index to determine drought response by comparingwith it with the SPI and SPEI drought indices.

Abstract

North Korea has frequently suffered from extreme agricultural crop droughts, which have led to food shortages, according to the Food and AgricultureOrganization (FAO). The increasing frequency of extreme droughts, due to global warming and climate change, has increased the importance ofenhancing the national capacity for drought management. Historically, a meteorological drought index based on data collected from weather stations hasbeen widely used. But it has limitations in terms of the distribution of weather stations and the spatial pattern of drought impacts. Satellite-based datacan be obtained with the same accuracy and at regular intervals, and is useful for long-term change analysis and environmental monitoring and widearea access in time and space. The Evaporative Stress Index (ESI), a satellite-based drought index using the ratio of potential and actual evaporation,is being used to detect drought response as a index of the droughts occurring rapidly over short periods of time. It is more accurate and provides fasteranalysis of drought conditions compared to the Standardized Precipitation Index (SPI), and the Palmer Drought Severity Index (PDSI). In this study,we analyze drought events during 2015-2017 in North Korea using the ESI satellite-based drought index to determine drought response by comparingwith it with the SPI and SPEI drought indices.

참고문헌 (40)

  1. Crop evapotranspiration: guidelines for computing crop water requirements, "Allen, R. G.", Food and Agriculture Organization, ~, pp.FAO Irrigation and Drainage Paper 56 (1998)
  2. Martha C. Anderson, "A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation", Journal of Geophysical Research: Atmospheres, 112(D10) (2007), American Geophysical Union (AGU)[DOI]
  3. Martha C. Anderson, "Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration over the Continental United States", Journal of Climate, 24(8), pp.2025~2044 (2011), American Meteorological Society[DOI]
  4. Martha C. Anderson, "An Intercomparison of Drought Indicators Based on Thermal Remote Sensing and NLDAS-2 Simulations with U.S. Drought Monitor Classifications", Journal of Hydrometeorology, 14(4), pp.1035~1056 (2013), American Meteorological Society[DOI]
  5. Martha C. Anderson, "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), Elsevier BV[DOI]
  6. 방나경, "2017년 극심한 봄 가뭄의 기상학적 특성 및 통계학적 가뭄빈도해석", 한국농공학회논문집, 60(4), pp.37~48 (2018), 한국농공학회[DOI]
  7. Economic analysis of the 2015 drought for California agriculture, "California Department of Food and Agriculture", CDFA, ~ (2015)
  8. Food and Agriculture Organization of the United Nations, "Global Information and Early Warning System, GIEWS Update: The Democratic People’s Republic of Korea – Prolonged dry spell raises serious concerns for 2015 food crop production", FAO, ~ (2015)
  9. Food and Agriculture Organization of the United Nations, "Global Information and Early Warning System, Prolonged dry weather threatens the 2017 main season food crop production", FAO, ~ (2017)
  10. Harmeling, S., "Global Climate Risk Index 2013 - Who suffers most from extreme weather events? Weater-related loss events in 2011 and 1992 to 2011", ~ (2011)
  11. Michael J. Hayes, "Reducing Drought Risk: Bridging Theory and Practice", Natural Hazards Review, 5(2), pp.106~113 (2004), American Society of Civil Engineers (ASCE)[DOI]
  12. Eun-Mi Hong, "Projected irrigation requirements for upland crops using soil moisture model under climate change in South Korea", Agricultural Water Management, 165, pp.163~180 (2016), Elsevier BV[DOI]
  13. 장민원, "NOAA", AVHRR NDVI를 이용한 북한지역 봄가뭄 분석, 2007, pp.49(6), 23~36[DOI]
  14. 정재환, "가뭄 모니터링을 위한 천리안 해양관측위성의 활용성 연구", 한국방재학회논문집, 17(3), pp.69~77 (2017), 한국방재학회[DOI]
  15. 김보경, "가뭄의 시공간적 분포 특성 연구 : 가뭄심도-가뭄면적-가문지속기간 곡선의 작성", 대한토목학회 논문집B, 26(1B), pp.69~78 (2006), 대한토목학회
  16. 김민석, "한반도 목표 표준강수지수(SPI) 산정에 관한 연구", 대한토목학회논문집(국문), 34(4), pp.1117~1123 (2014), 대한토목학회[DOI]
  17. 김진혁, "표준강수증발산량지수를 이용한 북한지역 과거와 미래 가뭄 평가", Crisisonomy, 14(2), pp.139~151 (2018), (사)위기관리이론과실천[DOI]
  18. A study on constructing a cooperative system for South and North Koreas to counteract climate change on the Korean Peninsula III, "Korea Environment Institute", ~ (2013)
  19. 30years report of meteorological observations in North Korea, "Korea Meteorological Admnistration", ~ (2011)
  20. McKee, T. B., "The relationship of drought frequency and duration to time scales", Proceedings of the 8th Conference of Applied Climatology, pp.179~184 (1993), American Meteorological Society
  21. Ministry of Agriculture, Food and Rural Affairs, "2016 Agricultural insurance yearbook - Part 4. 2015weather, agricultural disaster and natural disaster management", pp.122~146 (2016)
  22. Weekly report on North Korea, "Ministry of Unification", ~ (2015)
  23. Weekly report on North Korea, "Ministry of Unification", ~ (2017)
  24. Won-Ho Nam, "Drought hazard assessment in the context of climate change for South Korea", Agricultural Water Management, 160, pp.106~117 (2015), Elsevier BV[DOI]
  25. 남원호, "식생가뭄반응지수 (VegDRI)를 활용한 위성영상 기반 가뭄 평가", 한국농공학회논문집, 57(4), pp.1~9 (2015), 한국농공학회
  26. Won-Ho Nam, "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(2), pp.722~734 (2016), Wiley[DOI]
  27. 남원호, "주단위 표준강수증발산지수를 활용한 2014~2015년 북한의 극한 가뭄 평가", 한국농공학회논문집, 59(4), pp.65~74 (2017), 한국농공학회[DOI]
  28. Won-Ho Nam, "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 (2017), Informa UK Limited[DOI]
  29. Jason A. Otkin, "Examining Rapid Onset Drought Development Using the Thermal Infrared–Based Evaporative Stress Index", Journal of Hydrometeorology, 14(4), pp.1057~1074 (2013), American Meteorological Society[DOI]
  30. Jason A. Otkin, "Examining the Relationship between Drought Development and Rapid Changes in the Evaporative Stress Index", Journal of Hydrometeorology, 15(3), pp.938~956 (2014), American Meteorological Society[DOI]
  31. 박창의, "표준강수지수 및 팔머가뭄지수를 이용한 남한 가뭄의 시공간적 특성", 농업생명환경연구, 29(3), pp.202~214 (2017), 농업생명과학연구원
  32. James H. Stagge, "Candidate Distributions for Climatological Drought Indices (SPI and SPEI)", International Journal of Climatology, 35(13), pp.4027~4040 (2015), Wiley[DOI]
  33. 서찬양, "인공위성 가뭄지수를 활용한 한반도 가뭄 평가; 2013년 남부지방가뭄을 대상으로", 한국방재학회논문집, 14(3), pp.127~131 (2014), 한국방재학회
  34. Mark Svoboda, "THE DROUGHT MONITOR", Bulletin of the American Meteorological Society, 83(8), pp.1181~1190 (2002), American Meteorological Society[DOI]
  35. Tsegaye Tadesse, "A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the U.S. central plains", ISPRS Journal of Photogrammetry and Remote Sensing, 59(4), pp.244~253 (2005), Elsevier BV[DOI]
  36. Thornthwaite, C. W., "An approach toward a rational classification of climate", Geographical Review, 38(1), pp.55~94 (1948)
  37. Sergio M. Vicente-Serrano, "A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index", Journal of Climate, 23(7), pp.1696~1718 (2010), American Meteorological Society[DOI]
  38. Wilhite, D. A., "Planning for drought : moving from crisis to risk management", Journal of the American Water Resources Association, 36(4), pp.697~710 (2000)
  39. Wilhite, D. A., "Managing drought risk in a changing climate : the role of national drought policy", Weather and Climate Extremes, 3, pp.4~13 (2014)[DOI]
  40. 윤동현, "위성영상기반 농업가뭄 모니터링을 위한 Evaporative Stress Index (ESI)의 적용성 평가", 한국농공학회논문집, 60(6), pp.121~131 (2018), 한국농공학회[DOI]

관련 논문AI추천

위성영상기반 농업가뭄 모니터링을 위한 Evaporative Stress Index (ESI)의 적용성 평가김대의, 김태곤, 남원호, 신안국, 윤동현, 이희진, 홍은미, Mark D. Svoboda한국농공학회 · 한국농공학회논문집2018 · 제60권 제6호주단위 표준강수증발산지수를 활용한 2014~2015년 북한의 극한 가뭄 평가김태곤, 남원호, 최진용, 홍은미, Mark D. Svoboda, Michael J. Hayes한국농공학회 · 한국농공학회논문집2017 · 제59권 제4호Evaporative Stress Index (ESI)의 국내 가뭄 심도 분류 기준 제시김대의, 김태곤, 남원호, 박종환, 윤동현, 이희진, 홍은미한국농공학회 · 한국농공학회논문집2020 · 제62권 제2호위성기반 가뭄지수의 상호비교를 통한 한반도 농업가뭄 분석김나리, 박성욱, 손은하, 윤예슬, 이수진, 이양원, 장재동기후연구소 · 기후연구2018 · 제13권 제4호위성영상기반 증발스트레스지수를 활용한 필지단위논 가뭄 모니터링김대의, 김하영, 남원호, 우승범, 윤동현, 이희진한국농공학회 · 한국농공학회논문집2021 · 제63권 제3호북한의 지역별 기상학적 가뭄의 평가와 유형분류남원호, 유승환, 장민원, 최진용한국농공학회 · 한국농공학회논문집2008 · 제50권 제4호

이 간행물의 다른 논문 (9건)

비점오염 발생 원단위 산정방법에 대한 고찰- 논 비점오염 원단위를 중심으로 -윤광식, 김민경, 허승오, 최순군, 엽소진, 홍성창, 최동호pp. 15-22매입기초와 토질에 따른 인발저항력 특성임성윤, 유석철, 김유용, 김명환pp. 23-30보도용 연성 샌드 아스팔트 포장의 충격흡수 특성 평가김성운, 김광우, 동배선, 최창정pp. 31-41Feasibility of Estimating Rut Resistance of SMA Mixture by Static Loading Test Using Confined Specimen최창정, 김광우, 김성운pp. 43-53딥러닝과 전이학습을 이용한 콘크리트 균열 인식 및 시각화이종혁, 정영준, 양경모, 이상익, 이준구, 이제명, 최원pp. 55-65
원문 보기