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2020 Vol.53, Issue 10 Preview Page

Research Article

Optimization of PRISM parameters using the SCEM-UA algorithm for gridded daily time series precipitation

시계열 강수량 공간화를 위한 SCEM-UA 기반의 PRISM 매개변수 최적화

Yong-Tak Kima
,
Moonhyung Parkb
,
Hyun-Han Kwonc*
김 용탁a
,
박 문형b
,
권 현한c*
aPh.D, Department of Civil and Environmental Engineering, Sejong University
bPh.D, Korea Institute of Construction Technology
cProfessor, Department of Civil and Environmental Engineering, Sejong University
a세종대학교 건설환경공학과 박사후연구원
b한국건설기술연구원 수석연구원 공학박사
c세종대학교 건설환경공학과 정교수
* Corresponding Author
31 October 2020. pp. 903-915
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Abstract

Long-term high-resolution hydro-meteorological data has been recognized as an essential element in establishing the water resources plan. The increasing demand for spatial precipitation in various areas such as climate, hydrology, geography, ecology, and environment is apparent. However, potential limitations of the existing area-weighted and numerical interpolation methods for interpolating precipitation in high altitude areas remains less explored. The proposed PRISM (Precipitation-Elevation Regressions on Independent Slopes Model) model can produce gridded precipitation that can adequately consider topographic characteristics (e.g., slope and altitude), which are not substantially included in the existing interpolation techniques. In this study, the PRISM model was optimized with SCEM-UA (Shuffled Complex Evolution Metropolis-University of Arizona) to produce daily gridded precipitation. As a result, the minimum impact radius was calculated 9.10 km and the maximum 34.99 km. The altitude of coastal weighted was 681.03 m, the minimum and maximum distances from coastal were 9.85 km and 38.05 km. The distance weighting factor was calculated to be about 0.87, confirming that the PRISM result was very sensitive to distance. The results showed that the proposed PRISM model could reproduce the observed statistical properties reasonably well.

Keywords
Daily rainfall
Spatial interpolation
PRISM
SCEM-UA
Optimization

상세한 수문기상자료 구축은 수자원 활용 계획을 수립하고 대응하는 데 있어 필수적인 요소로 인식되고 있다. 기후, 수문, 지리 및 환경 등의 다양한 영역에서 신뢰할 수 있는 공간적 강우량의 요구가 증가하고 있다. 지형의 약 70%가 산악 지형인 우리나라의 경우 기존의 면적가중 및 수치내삽 방법은 고도가 높은 지역의 기상인자를 추정하는 데 한계가 있는 것으로 평가 되고 있다. PRISM 기법은 일반적인 공간보간 방법에 부족한 지형적 특성을 반영한 격자형태의 기상인자를 생산할 수 있는 유용한 모형으로서 본 연구에서는 SCEM-UA 기법을 기반으로 일단위 시계열에서의 PRISM 모형을 최적화 수행하였으며, 그 결과 최소영향반경은 9.10 km, 최대는 34.99 km로 산정되었으며, 해양가중치에서 고도기준은 681.03 m, 최소 및 최대거리는 각각 9.85 km, 38.05 km가 추정되었다. 거리가중치계수는 약 0.87로 산정되어 PRISM 모의 결과가 거리에 매우 민감하다는 것을 확인하였다. 또한, 다양한 통계적 검정을 통해 생산된 강수 시계열이 관측시계열과 비교하여 유사한 특성을 갖는 것을 확인하였다.

키워드
일강수량
공간보간
PRISM
SCEM-UA
최적화
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Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 53
  • No :10
  • Pages :903-915
  • Received Date : 2020-08-21
  • Revised Date : 2020-09-04
  • Accepted Date : 2020-09-04
  • DOI :https://doi.org/10.3741/JKWRA.2020.53.10.903
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