한국농공학회논문집 (Journal of The Korean Society of Agricultural Engineers)

  • 제53권4호
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  • Pages.39-47
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  • 2011
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  • 1738-3692(pISSN)
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  • 2093-7709(eISSN)
한국농공학회 (The Korean Society of Agricultural Engineers)
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기후변화가 논 필요수량에 미치는 영향

Climate Change Impacts on Paddy Water Requirement

  • 윤동균 (한국농어촌공사 농어촌연구원) ;
  • 정상옥 (경북대학교 농업생명과학대학 농업토목공학과) ;
  • 김성준 (건국대학교 생명환경과학대학 사회환경시스템공학과)
  • 투고 : 2010.12.27
  • 심사 : 2011.07.13
  • 발행 : 2011.07.31
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초록

The aim of the study is to predict potential evapotranspiration and crop water requirement using meteorological data from MIROC3.2 with A1B scenario. Increase of evapotranspiration due to temperature rise can be observed out of the analysis, while effective rainfall decreased. The evapotranspiration elevation results in large amount of crop water requirement in the paddy farming. It can be seen that rainfall intensification at non-irrigation period brings effective rainfall decrease, while contributes to higher demand of crop water at irrigation period. It is necessary to secure additional water resources to adapt the climate change. It is expected that estimation on potentialevapotranspiration in this study can be used for formulation of master plan of water resources.

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참고문헌

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피인용 문헌

  1. 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
  2. Analyzing Consumptive Use of Water and Yields of Paddy Rice by Climate Change vol.54, pp.1, 2012, https://doi.org/10.5389/KSAE.2012.54.1.047
  3. Simulation of GHG Emission from Paddy Field using DNDC Model vol.56, pp.2, 2014, https://doi.org/10.5389/KSAE.2014.56.2.047
  4. 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
  5. Prediction of Land-cover Changes and Analysis of Paddy Fields Changes Based on Climate Change Scenario (A1B) in Agricultural Reservoir Watersheds vol.54, pp.2, 2012, https://doi.org/10.5389/KSAE.2012.54.2.077
  6. Uncertainty in Regional Climate Change Impact Assessment using Bias-Correction Technique for Future Climate Scenarios vol.55, pp.4, 2013, https://doi.org/10.5389/KSAE.2013.55.4.095
  7. Projection of Future Water Supply Sustainability in Agricultural Reservoirs under RCP Climate Change Scenarios vol.56, pp.4, 2014, https://doi.org/10.5389/KSAE.2014.56.4.059
  8. Assessing the Climate Change Impacts on Agricultural Reservoirs using the SWAT model and CMIP5 GCMs vol.57, pp.5, 2015, https://doi.org/10.5389/KSAE.2015.57.5.001
  9. Assessing Sensitivity of Paddy Rice to Climate Change in South Korea vol.8, pp.12, 2016, https://doi.org/10.3390/w8120554
  10. Analysis of design water requirement of paddy rice using frequency analysis affected by climate change in South Korea vol.112, 2012, https://doi.org/10.1016/j.agwat.2012.06.002
  11. Analysis of Rainfall-Runoff Characteristics on Bias Correction Method of Climate Change Scenarios vol.31, pp.3, 2015, https://doi.org/10.15681/KSWE.2015.31.3.241
  12. Assessing the Performance of CMIP5 GCMs for Various Climatic Elements and Indicators over the Southeast US vol.47, pp.11, 2014, https://doi.org/10.3741/JKWRA.2014.47.11.1039
  13. The Impacts of Climate Change on Paddy Water Demand and Unit Duty of Water using High-Resolution Climate Scenarios vol.54, pp.2, 2012, https://doi.org/10.5389/KSAE.2012.54.2.015
  14. Climate Change Impacts on Agricultural Drought with Consideration of Uncertainty in CMIP5 Scenarios vol.65, 2016, https://doi.org/10.1002/ird.2035
  15. Simulation of the GHG Emissions Impact on Climate Change from Radish Field vol.57, pp.4, 2015, https://doi.org/10.5389/KSAE.2015.57.4.101