Journal of The Korean Society of Agricultural Engineers (한국농공학회논문집)

The Korean Society of Agricultural Engineers (한국농공학회)
권호 표지
DOI QR코드

DOI QR Code

On the Linkage Between Irrigation Facilities and Rice Production Under Drought Events

가뭄사상 및 농업수리시설물이 쌀 생산량에 미치는 영향에 대한 상관 분석

  • Woo, Seung-Beom (School of Social Safety and Systems Engineering, Hankyong National University) ;
  • Nam, Won-Ho (School of Social Safety and Systems Engineering, Institute of Agricultural Environmental Science, National Agricultural Water Research Center, Hankyong National University) ;
  • Jeon, Min-Gi (Department of Convergence of Information and Communication Engineering, Hankyong National University) ;
  • Yoon, Dong-Hyun (Department of Convergence of Information and Communication Engineering, Hankyong National University) ;
  • Kim, Taegon (Department of Smart Farm, Jeonbuk National University) ;
  • Sung, Jae-Hoon (Korea Rural Economic Institute) ;
  • Kim, Han-Joong (School of Social Safety and Systems Engineering, Hankyong National University)
  • Received : 2021.06.25
  • Accepted : 2021.09.27
  • Published : 2021.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Drought is a disaster that causes prolonged and wide scale damage. Recently, the severity and frequency of drought occurrences, and drought damage have been increased significantly due to climate change. As a result, a quantitative study of drought factors is needed to better understand and prevent future droughts. In the case of agricultural drought, several existing studies examine the economic damage caused by droughts and their causes, but these studies are not well suited to estimating crop-oriented agricultural drought damage and the factors that absolutely affect agricultural drought. This study determines which factors most affect agricultural drought. It examines meteorological factors and those related to agricultural water supplied by irrigation facilities. Rice paddy production per unit area is lower than the average from the last two years where agricultural drought occurred. We compare the relative frequency of agricultural drought impacts with irrigation facilities, effective reservoir storage, the number of water supply facilities, and the meteorological drought index such as Standardized Precipitation Index (SPI). To identify factors that affect agricultural drought, we correlate rice paddy production anomalies with irrigation water supply for the past two years. There was a high positive correlation between rice paddy production and irrigation water usage, and there was a low or moderate negative correlation between rice paddy production anomalies compared to the average of the past two years and SPI. As a result, agricultural water supply by irrigation facilities was judged to be more influential than meteorological factors in rice paddy production. This study is expected to help local governments establish policies related to agricultural drought response.

Keywords

Acknowledgement

본 연구는 행정안전부 극한재난대응기반기술개발사업의 연구비 지원 (2019-MOIS31-010)에 의해 수행되었습니다.

References

  1. Bae, D. H., J. M. So, and S. H. Kim, 2015. 2015 drought analysis and countermeasures. Korea Disaster Prevention Association 17(4): 14-22.
  2. Bang, N. K., W. H. Nam, E. M. Hong, M. J. Hayes, and M. D. Svoboda, 2018. Assessment of the meteorological characteristics and statistical drought frequency for the extreme 2017 spring drought event across South Korea. Journal of the Korean Society of Agricultural Engineers 60(4): 37-48. doi:10.5389/KSAE.2018.60.4.037.
  3. Burke, M., and K. Emerick, 2016. Adaptation to climate change: Evidence from US agriculture, American Economic Journal: Economic Policy 8(3): 106-140. https://doi.org/10.1257/pol.20130025
  4. Chang, Y. J., J. W. Lee, J. K. Park, and H. J. Park, 2015. Study on effects of meteorological elements in the grain production of Korea. Journal of Environmental Science International 24(3): 281-290. doi:10.5322/JESI.2015.24.3.281.
  5. Dell, M., B. F. Jones, and B. A. Olken, 2014. What do we learn from the weather? The new climate-economy literature. Journal of Economic Literature 52(3): 740-798. https://doi.org/10.1257/jel.52.3.740
  6. Edward, D. C., and T. B. Mckee, 1997. Characteristics of 20th century drought in the United States at multiple time scales. Department of Atmospheric Science, Atmospheric Science Paper No. 634, Climatology Report No. 97-2, Colorado State University.
  7. Kang, J. K., S. K. Jung, S. J. Maeng, and C. D. Jang, 2015. Analysis for drought resilience of monoculture on climate change. Discussion of Crisis Management in Korea 11(1):63-81.
  8. Kim, B. S., J. H. Sung, B. H. Lee, and D. J. Kim, 2013. Evaluation on the impact of extreme droughts in South Korea using the SPEI and RCP 8.5 climate change scenario. Journal of the Korean Society of Hazard Mitigation 13(2):97-109. doi:10.9798/KOSHAM.2013.13.2.097.
  9. Korea Meteorological Administration (KMA) weather data service open MET data portal, Automated Synoptic Observing System (ASOS). https://data.kma.go.kr/. Accessed 4 Mar. 2021.
  10. Korea Rural Community Corporation, Rural Agricultural Water Resource Information System (RAWRIS). https://rawris.ekr.or.kr/. Accessed 5 Mar. 2021.
  11. Korea Rural Economic Institute (KREI), 2016. Measurement of agricultural damage due to drought. Korea Rural Economic Institute, Naju, South Korea.
  12. Korean Statistical Information Service (KOSIS). https://kosis.kr/. Accessed 19 Jan. 2021.
  13. Lee, H. J., W. H. Nam, D. H. Yoon, E. M. Hong, D. E. Kim, M. D. Svoboda, T. Tadesse, and B. D. Wardlow, 2019. Satellite-based evaporative stress index (ESI) as an indicator of agricultural drought in North Korea. Journal of the Korean Society of Agricultural Engineers 61(3):1-14. doi:10.5389/KSAE.2019.61.3.001.
  14. Lee, H. J., W. H. Nam, D. H. Yoon, E. M. Hong, T. G. Kim, J. H. Park, and D. E. Kim, 2020. Percentile approach of drought severity classification in evaporative stress index for South Korea. Journal of the Korean Society of Agricultural Engineers 62(2): 63-73. doi:10.5389/KSAE.2020.62.2.063.
  15. Lee, J. W., Y. J. Jang, K. K. Ko, and J. K. Park, 2013. Effects of meteorological elements in the production of food crops: Focused on regression analysis using panel data. Journal of Environmental Science International 22(9):1171-1180. doi:10.5322/JESI.2013.22.9.1171.
  16. Mckee, T. B., M. J. Doesken, and J. Kleist, 1993. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference of Applied Climatology, 17-22 January, Anaheim, CA. American Meteorological Society, Boston, MA. 179-184.
  17. Mun, Y. S., W. H. Nam, M. G. Jeon, H. J. Kim, K. Kang, J. C. Lee, T. H. Ha, and K. Y. Lee, 2020. Evaluation of regional drought vulnerability assessment based on agricultural water and reservoirs. Journal of the Korean Society of Agricultural Engineers 62(2): 97-109. doi:10.5389/KSAE.2020.62.2.97.
  18. Myeong, S. J., 2018. Impact of climate change related natural disasters on rice production in South Korea. Journal of the Korean Society of Hazard Mitigation 18(7): 53-60. doi:10.9798/KOSHAM.2018.18.7.53.
  19. Nam, W. H., J. Y. Choi, M. G. Jang, and E. M. Hong, 2013. Agricultural drought risk assessment using reservoir drought index. Journal of the Korean Society of Agricultural Engineers 55(3): 41-49. doi:10.5389/KSAE.2013.55.3.041.
  20. Nam, W. H., M. J. Hayes, M. D. Svoboda, T. Tadesse, and D. A. Wilhite, 2015. Drought hazard assessment in the context of climate change for South Korea. Agricultural Water Management 160: 106-117. doi:10.1016/j.agwat.2015.06.029.
  21. Nam, W. H., H. J. Kwon, and K. S. Choi, 2018. Reevaluation of design frequency of drought and water supply safety for agricultural reservoirs under changing climate and farming methods in paddy field. Journal of the Korean Society of Agricultural Engineers 60(1): 121-131. doi:10.5389/KSAE.2018.60.1.121.
  22. Ryu, M. H., S. W. Jang, and D. H. Park, 2011. Climate change and drought: Study on shadow price and damage cost of water under drought. Journal of Wetlands Researh 13(2): 209-218.
  23. Seo, S. S., D. G. Kim, K. H. Lee, H. S. Kim, and T. W. Kim, 2009. Estimation of drought damage based on agricultural and domestic water use. Journal of Wetlands Researh 11(2): 77-87.
  24. Schlenker, W., and M. J. Roberts. 2009. Nonlinear temperature effects indicate severe damages to US crop yields under climate change, Proceedings of the National Academy of Sciences 106(37): 15594-15598. https://doi.org/10.1073/pnas.0906865106
  25. Schlenker, W., W. M. Hanemann, and A. C. Fisher, 2005. Will U.S. agriculture really benefit from global warming? Accounting for irrigation in the hedonic approach, American Economic Review 95(1): 395-406. https://doi.org/10.1257/0002828053828455
  26. So, J. M., K. H. Shon, and D. H. Bae, 2015. Development and assessment of drought damage estimation technique using drought characteristic factors. Journal of the Korean Society of Hazard Mitigation 15(2): 93-101. doi:10.9798/KOSHAM.2015.15.2.93.
  27. Sung, J. H., K. S. Chae, and D. E. Kim, 2017. The effects of droughts and public investments in irrigation facilities on rice yields in Korea. Korean Journal of Agricultural and Forest Meteorology 19(4): 293-303. doi:10.5532/KJAFM.2017.19.4.293.
  28. Sung, J. H., and K. S. Chae, 2018. The economic effects on droughts: Focused on rice production. Journal of Rural Development 41(3): 1-23. https://doi.org/10.36464/JRD.2018.41.3.001
  29. Yoon, D. H., W. H. Nam, H. J. Lee, E. M. Hong, T. G. Kim, D. E. Kim, A. K. Shin, and M. D. Svoboda, 2018. 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): 121-131. doi:10.5389/KSAE.2018.60.6.121.