격자단위 국가 표준 시나리오를 적용한농촌용수구역단위 자료변환 방법 비교 연구
Study on the Methodology for Generating Future Precipitation Data by the Rural Water District Using Grid-Based National Standard Scenario
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초록
Representative meteorological data of the rural water district, which is the spatial unit of the study, was produced using the grid-based national standardRCP scenario rainfall data provided by the Korea Meteorological Administration. The retrospective reproducibility of the climate model scenario datawas analyzed, and the change in climate characteristics in the water district unit for the future period was presented. Finally the data characteristicsand differences of each meteorological element according to various spatial resolution conversion and post-processing methods were examined. As a main result, overall, the distribution of average precipitation and R95p of the grid data, has reasonable reproducibility compared to the ASOSobservation, but the maximum daily rainfall tends to be distributed low nationwide. The number of rainfall days tends to be higher than the station-basedobservation, and this is because the grid data is generally calculated using the area average concept of representative rainfall data for each grid. In addition, in the case of coastal regions, there is a problem that administrative districts of islands and rural water districts do not match. and In thecase of water districts that include mountainous areas, such as Jeju, there was a large difference in the results depending on whether or not high rainfallin the mountainous areas was reflected. The results of this study are expected to be used as foundation for selecting data processing methods when constructing future meteorological data forrural water districts for future agricutural water management plans and climate change vulnerability assessments.
Abstract
Representative meteorological data of the rural water district, which is the spatial unit of the study, was produced using the grid-based national standardRCP scenario rainfall data provided by the Korea Meteorological Administration. The retrospective reproducibility of the climate model scenario datawas analyzed, and the change in climate characteristics in the water district unit for the future period was presented. Finally the data characteristicsand differences of each meteorological element according to various spatial resolution conversion and post-processing methods were examined. As a main result, overall, the distribution of average precipitation and R95p of the grid data, has reasonable reproducibility compared to the ASOSobservation, but the maximum daily rainfall tends to be distributed low nationwide. The number of rainfall days tends to be higher than the station-basedobservation, and this is because the grid data is generally calculated using the area average concept of representative rainfall data for each grid. In addition, in the case of coastal regions, there is a problem that administrative districts of islands and rural water districts do not match. and In thecase of water districts that include mountainous areas, such as Jeju, there was a large difference in the results depending on whether or not high rainfallin the mountainous areas was reflected. The results of this study are expected to be used as foundation for selecting data processing methods when constructing future meteorological data forrural water districts for future agricutural water management plans and climate change vulnerability assessments.
참고문헌 (17)
- Hagemann, S., "Impact of a statistical bias correction on the projected hydrological changes obtained from three GCMs and two hydrology models", Journal of Hydrometeorology, 12(4), pp.556~578 (2011)[DOI]
- 황세운, "남한지역 일단위 강우량 공간상세화를 위한 BCSA 기법 적용성 검토", 한국농공학회논문집, 63(6), pp.49~60 (2021), 한국농공학회[DOI]
- Intergovernmental Panel on Climate Change, "Climate change 2021: The physical science basis. Contribution of Working Group Ⅰto the Sixth Assessment Report of the Intergovernmental Panel on Climate Change" (2021), Cambridge University Press
- Das, J., "Downscaling moonsoon rainfall over river godavari basin under different climate-change scenarios", Water Resour Manage, 30(15), pp.5575~5587 (2016)[DOI]
- 김대준, "기후변화 시나리오에 근거한 전주지역의 농업가뭄 전망", 한국농림기상학회지, 17(4), pp.275~280 (2015), 한국농림기상학회[DOI]
- 김진욱, "저수지 가뭄지수와 기후변화 시나리오를 이용한 우리나라 미래 농업가뭄 평가", 한국수자원학회 논문집, 52(6), pp.381~395 (2019), 한국수자원학회[DOI]
- 김지혜, "SSP 기후변화 시나리오에 따른 농업용 저수지 홍수조절능력 분석", 한국농공학회논문집, 63(5), pp.49~62 (2021), 한국농공학회[DOI]
- 김지은, "기후변화 시나리오에 따른 용수구역 기반 소구역의 가뭄전망 및 갈수빈도해석 : 김천시 지역을 중심으로", 한국습지학회지, 23(1), pp.14~26 (2021), 한국습지학회
- 김수진, "농어촌용수 및 농업생산기반시설의 실태조사에 따른 기후변화 영향 분석", 한국농공학회논문집, 60(5), pp.1~15 (2018), 한국농공학회[DOI]
- 이재남, "RCP 8.5 기후변화 시나리오를 고려한 농업용 저수지군 운영에 따른 미래 하천유량 평가", 한국농공학회논문집, 57(5), pp.113~122 (2015), 한국농공학회
- Korean Climate Change Assessment Report 2020, "Ministry of Environment", ~ (2020)
- 남원호, "기후변화 시나리오를 고려한 농업용 저수지의 미래 용수공급 지속가능성 전망", 한국농공학회논문집, 56(4), pp.59~68 (2014), 한국농공학회
- 오윤경, "가뭄 대응형 지하수 개발 우선순위 선정을 위한 농촌용수구역의 유형 분석", 농촌계획, 26(2), pp.51~59 (2020), 한국농촌계획학회[DOI]
- 박효선, "복잡한 해안지역에서의 RCP 기후변화 시나리오 적용성 평가", Crisisonomy, 10(2), pp.215~230 (2014), (사)위기관리이론과실천
- 박민지, "농업용 저수지 운영을 고려한 SLURP 모형의 수문학적 거동 분석", 대한토목학회 논문집B, 27(5B), pp.515~523 (2007), 대한토목학회
- 송성호, "기후변화를 고려한 제주지역의 권역별 가뭄 평가 및 농업용수에의 영향 고찰", 한국환경과학회지, 22(5), pp.625~638 (2013), 한국환경과학회[DOI]
- Zhang, Q., "A novel statistical downscaling approach for analyzing daily precipitation and extremes under the impact of climate change: Application to an arid region", Journal of Hydrology, 615(Part B) (2022)[DOI]