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대표농도경로 시나리오에 의한 한반도 주요 평야지역 논벼 소비수량 추정

Projection of Paddy Rice Consumptive Use in the Major Plains of the Korean Peninsula under the RCP Scenarios

  • 정상옥 (경북대학교 농업토목공학과)
  • 투고 : 2012.04.13
  • 심사 : 2012.08.14
  • 발행 : 2012.09.30

초록

The paddy rice consumptive use in the six plains of the Korean peninsula was projected with changing climate under the representative concentration pathway (RCP) scenarios. High resolution climate data for the baseline (1961-1990) was obtained from the International water management institute (IWMI) and future high resolution climate projection was obtained from the Korea Meteorological Administration. Reference evapotranspiration (ET) was calculated by using Hargreaves equation. The results of this study showed that the average annual mean temperature would increase persistently in the future. Temperatures were projected to increase more in RCP8.5 than those in RCP4.5 scenario. The rice consumptive use during the growing period was projected to increase slightly in the 2020s and then more significantly in the 2050s and 2080s. It showed higher values for RCP8.5 than for RCP4.5. The rice consumptive use after transplanting in the study areas would increase by 2.2 %, 5.1 % and 7.2 % for RCP4.5 and 3.0 %, 7.6 %, and 13.3 % for RCP8.5, in the 2020s, 2050s, and 2080s, respectively, from the baseline value of 534 mm. The results demonstrated the effects of climate change on rice consumptive use quite well, and can be used in the future agricultural water planning in the Korean peninsula.

키워드

참고문헌

  1. Allen, R. G., L. S. Pereira, D. Raes, and M. Smith, 1998. Crop evapotranspiration-Guidelines for computing crop water requirements, FAO Irrigation and Drainage paper 56, Rome, Italy, p.64.
  2. Chung, S.-O., 2009. Prediction of paddy irrigation demand in Nakdong river basin using regional climate model. Journal of the KSAE 51(4): 7-13 (in Korean).
  3. Chung, S.-O., and T. Nkomozepi, 2012. Uncertainty of paddy irrigation requirement estimated from climate change projections in the Geumho river basin, Korea. Paddy and Water Environment. 10(3): 175-185 DOI:10.1007/s10333-011-0305-z.
  4. Chung, S,-O., J. A. Rodriguez-Diaz, E. K. Weatherhead and J. W. Knox, 2011. Climate change impacts on water for irrigating paddy rice in South Korea. Irrigation and Drainage 60:263-273. DOI 10.1002/ird.559.
  5. Hong, E. M., J. Y. Choi, S. H. Lee, S. H. Yoo and M. S. Kang, 2009. Estimation of paddy rice evapotranspiration considering climate change using LARS-WG. Journal of the KSAE 51(3): 25-35 (in Korean).
  6. Lee, T., J.-Y. Choi, S.-H. Yoo, S.-H. Lee and Y.-G. Oh, 2012. Analyzing consumptive use of water and yields of paddy rice by climate change. Journal of the KSAE 54(1): 47-54 (in Korean).
  7. Moss, R. et al., 2008. Towards New Scenarios for Analysis of Emissions, Climate Change, Impacts, and Response Strategies. Intergovernmental Panel on Climate Change, Geneva, 132pp.
  8. National Institute of Meteorological Research (NIMR), 2011. Climate Change Scenario report for the IPCC 5th assessment report. Seoul, Korea. 117pp. (in Korean).
  9. New, M., D. Lister, M. Hulme and I. Makin, 2002. A high resolution data set of surface climate over global land areas. Climate Research 21: 1-25. https://doi.org/10.3354/cr021001
  10. Nkomozepi, T. and S.-O. Chung, 2012. Assessing the trends and uncertainty of maize net irrigation water requirement estimated from climate change projections for Zimbabwe. Agricultural Water Management 111: 60-67. https://doi.org/10.1016/j.agwat.2012.05.004
  11. Yun, D. K., S. O. Chung and S. J. Kim, 2011. Climate change impacts on paddy water requirement. Journal of the KSAE 53(4): 39-47 (in Korean).
  12. Climate Change Information Center (CCIC), 2012. Climate change. http://climate.go.kr. Accessed on 9 March 2012.
  13. Kwon, T. J. and M. J. Nam, 2011. Food supply and demand forecast in north Korea for 2011. KREI Quarterly Agricultural Trends in North Korea 12(4): 3-41. Korea rural economic institute (in Korean).

피인용 문헌

  1. Assessment of Climate Change Impacts on Hydrology and Snowmelt by Applying RCP Scenarios using SWAT Model for Hanriver Watersheds vol.55, pp.5, 2013, https://doi.org/10.5389/KSAE.2013.55.5.037
  2. Trend Analysis of Projected Climate Data based on CMIP5 GCMs for Climate Change Impact Assessment on Agricultural Water Resources vol.57, pp.5, 2015, https://doi.org/10.5389/KSAE.2015.57.5.069
  3. Assessment of Anti-Drought Capacity for Agricultural Reservoirs using RCP Scenarios vol.55, pp.3, 2013, https://doi.org/10.5389/KSAE.2013.55.3.013
  4. Climate Change Impacts on Agricultural Drought for Major Upland Crops using Soil Moisture Model -Focused on the Jeollanam-do- vol.57, pp.3, 2015, https://doi.org/10.5389/KSAE.2015.57.3.065
  5. Projection of Consumptive Use and Irrigation Water for Major Upland Crops using Soil Moisture Model under Climate Change vol.56, pp.5, 2014, https://doi.org/10.5389/KSAE.2014.56.5.077