• Title/Summary/Keyword: kriging model

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Spatial Adjustment of Rainfall using Kriging Method and Application of Distributed Model (크리깅 기법을 이용한 강우의 공간보정과 분포형 모형의 적용)

  • Kim, Jin-Sung;Rim, Hae-Wook;Um, Myoung-Jin;Kim, Won-Il;Ahn, Won-Sik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.130-134
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    • 2008
  • 제주도는 표고가 높은 산악지형으로 이루어져 있으며, 산악지형에서의 강수 발생일수와 강수량 값은 평지보다 월등히 높으므로 수자원 설계시 표고에 따른 강우 보정을 실시한다. 그러나 현재 실무에서 적용되고 있는 시우량 자료를 이용한 표고와 연강우량의 관계에 따른 보정 방법은 여러 문제점을 야기시키고 있다. 이에 본 연구에서는 크리깅 기법을 이용하여 새로운 강우보정 방법을 제시하였으며, 격자형 강우보정계수를 산정하여 보정된 강우를 분포형 모형에 적용하였다. 제주도내 17개 강우관측소 및 제주 재난안전대책본부 41개 관측소의 강우자료를 이용하여 공동크리깅을 수행하였고, 격자 형태의 강우보정계수를 산정하였다. 제주 관측소의 강우자료로 확률강우량을 산정하여 강우보정을 하였고, 분포형 모형에 적용하여 유출량을 산정하였다. 또한, 기존 고도보정 방법 및 HEC-HMS 모형으로 산정된 유출량과 비교하였다. 본 연구에서 제시한 강우보정 방법으로 지속시간에 따른 강우 증가를 고려할 수 있을 뿐만 아니라 고도에 따른 강우보정시 홍수량이 과대 산정되는 문제점을 해결할 수 있었다.

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Gaussian process approach for dose mapping in radiation fields

  • Khuwaileh, Bassam A.;Metwally, Walid A.
    • Nuclear Engineering and Technology
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    • v.52 no.8
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    • pp.1807-1816
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    • 2020
  • In this work, a Gaussian Process (Kriging) approach is proposed to provide efficient dose mapping for complex radiation fields using limited number of responses. Given a few response measurements (or simulation data points), the proposed approach can help the analyst in completing a map of the radiation dose field with a 95% confidence interval, efficiently. Two case studies are used to validate the proposed approach. The First case study is based on experimental dose measurements to build the dose map in a radiation field induced by a D-D neutron generator. The second, is a simulation case study where the proposed approach is used to mimic Monte Carlo dose predictions in the radiation field using a limited number of MCNP simulations. Given the low computational cost of constructing Gaussian Process (GP) models, results indicate that the GP model can reasonably map the dose in the radiation field given a limited number of data measurements. Both case studies are performed on the nuclear engineering radiation laboratories at the University of Sharjah.

Extending Ionospheric Correction Coverage Area by using Extrapolation Methods (외삽기법을 이용한 전리층 보정정보 영역 확장)

  • Kim, Jeongrae;Kim, Mingyu
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.22 no.3
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    • pp.74-81
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    • 2014
  • The coverage area of GNSS regional ionospheric correction model is mainly determined by the disribution of GNSS ground monitoring stations. Outside the coverage area, GNSS users may receive ionospheric correction signals but the correction does not contain valid correction information. Extrapolation of the correction information can extend the coverage area to some extent. Three interpolation methods, Kriging, biharmonic spline and cubic spline, are tested to evaluate the extrapolation accuracy of the ionospheric delay corrections outside the correction coverage area. IGS (International GNSS Service) ionosphere map data is used to simulate the corrections and to compute the extrapolation error statistics. Among the three methods, biharmonic method yields the best accuracy. The estimation error has a high value during Spring and Fall. The error has a high value in South and East sides and has a low value in North side.

A Study on Spatial Characteristics of Rainfall in Imha Basin (임하 유역 강우의 공간적 특성에 관한 연구)

  • Lee, Sang-Jin;Lee, Bae-Sung;Kang, Bu-Sick;Hwang, Man-Ha
    • Journal of The Korean Society of Agricultural Engineers
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    • v.49 no.1
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    • pp.3-13
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    • 2007
  • In this study, spatial characteristics of rainfall in Imha basin were investigated by cross-correlation analysis among rainfall gaging stations and rainfall-runoff analysis used in HEC-HMS model for analysis of influence on observed rainfall. The Kriging technique was applied to rain(all analysis in Imha basin to reflect spatial characteristics of regional rainfall. Their results are compared to rainfall-runoff data with spatially distributed rainfall data as well as the classical thiessen method. The results by kriging technique approached by geostatistical method could reflect spatial characteristics of regional rainfall properly in Imha basin.

Optimal Design of a Distributed Winding Type Axial Flux Permanent Magnet Synchronous Generator

  • You, Yong-Min;Lin, Hai;Kwon, Byung-Il
    • Journal of Electrical Engineering and Technology
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    • v.7 no.1
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    • pp.69-74
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    • 2012
  • This paper presents a distributed winding type axial flux permanent magnet synchronous generator (AFPMSG) with reduced the total harmonic distortion (THD), suitable for wind turbine generation systems. Although the THD of the proposed distributed winding type is more reduced than the concentrated winding type, the unbalance of the phase back EMF occurs. To improve the unbalance of the phase back EMF and the output power of the distributed winding type AFPMSG, the Kriging based on the latin hypercube sampling (LHS) is utilized. Finally, these optimization results are confirmed by experimental results. As a result, the unbalance of the phase back EMF and the output power of the distributed winding type AFPMSG were improved while maintaining the total harmonic distortion (THD) and the average phase back EMF.

A NOVEL METHOD FOR REFINING A META-MODEL BY PARETO FRONTIER (파레토 프론티어를 이용한 메타모델 정예화 기법 개발)

  • Jo, S.J.;Chae, S.H.;Yee, K.J.
    • Journal of computational fluids engineering
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    • v.14 no.4
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    • pp.31-40
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    • 2009
  • Although optimization by sequentially refining metamodels is known to be computationally very efficient, the metamodel that can be used for this purpose is limited to Kriging method due to the difficulties related with sample points selections. The present study suggests a novel method for sequentially refining metamodels using Pareto Frontiers, which can be used independent of the type of metamodels. It is shown from the examples that the present method yields more accurate metamodels compared with full-factorial optimization and also guarantees global optimum irrespective of the initial conditions. Finally, in order to prove the generality of the present method, it is applied to a 2D transonic airfoil optimization problem, and the successful design results are obtained.

Hydraulic Watershed Classification and Analysis of Flow Characteristics of Groundwater on Jeju Island (제주도 지하수 유역의 적절성 평가와 수리학적 유역설정)

  • Kim, Min-Chul;Yang, Sung-Kee
    • Journal of Environmental Science International
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    • v.28 no.4
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    • pp.423-433
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    • 2019
  • This study was carried out to identify the problems of the underground watersheds on Jeju Island, and to establish the hydraulic groundwater basin to be used as basis for the analysis of the groundwater model. In order to evaluate the adequacy of the groundwater basin on Jeju Island, a correlation analysis between elevation and groundwater level was conducted using data from 125 observation wells. The analysis, conducted with an elevation step of 100 m, exhibited values of R2 in the range 0.1653-0.8011. No clear correlation was observed between elevation and groundwater level. In particular, the eastern and western areas showed an inverse proportionality between elevation and groundwater level. The Kriging technique was used to analyze the underground water level data and to define the equipotential lines for all areas of Jeju Island. Eight groundwater watersheds were delineated by considering the direction of groundwater flow, the positions of the observation wells, and the long and short axes of the watersheds.

Development of Subsurface Spatial Information Model System using Clustering and Geostatistics Approach (클러스터링과 지구통계학 기법을 이용한 지하공간정보 모델 생성시스템 개발)

  • Lee, Sang-Hoon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.11 no.4
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    • pp.64-75
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    • 2008
  • Since the current database systems for managing geotechnical investigation results were limited by being described boring test result in point feature, it has been trouble for using other GIS data. Although there are some studies for spatial characteristics of subsurface modeling, it is rather lack of being interoperable with GIS, considering geotechnical engineering facts. This is reason for difficulty of practical uses. In this study, we has developed subsurface spatial information model through extracting needed geotechnical engineering data from geotechnical information DB. The developed geotechnical information clustering program(GEOCL) has made a cluster of boring formation(and formation ratio), classification of layer, and strength characteristics of subsurface. The interpolation of boring data has been achieved through zonal kriging method in the consideration of spatial distribution of created cluster. Finally, we make a subsurface spatial information model to integrate with digital elevation model, and visualize 3-dimensional model by subsurface spatial information viewing program(SSIVIEW). We expect to strengthen application capacity of developed model in subsurface interpretation and foundation design of construction works.

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