• Title/Summary/Keyword: 공간적 가중

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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)

  • Kim, Yong-Tak;Park, Moonhyung;Kwon, Hyun-Han
    • Journal of Korea Water Resources Association
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    • v.53 no.10
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    • pp.903-915
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    • 2020
  • 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.

Spatial Variation in Land Use and Topographic Effects on Water Quality at the Geum River Watershed (토지이용과 지형이 수질에 미치는 영향의 공간적 변동성에 관한 연구 - 금강 권역을 중심으로)

  • Park, Se-Rin;Choi, Kwan-Mo;Lee, Sang-Woo
    • Korean Journal of Ecology and Environment
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    • v.52 no.2
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    • pp.94-104
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    • 2019
  • In this study, we investigated the spatial variation in land use and topographic effects on water quality at the Geum river watershed in South Korea, using the ordinary least squares(OLS) and geographically weighted regression (GWR) models. Understanding the complex interactions between land use, slope, elevation, and water quality is essential for water pollution control and watershed management. We monitored four water quality indicators -total phosphorus, total nitrogen, biochemical oxygen demand, and dissolved oxygen levels - across three land use types (urban, agricultural, and forested) and two topographic features (elevation and mean slope). Results from GWR modeling revealed that land use and topography did not affect water quality consistently through space, but instead exhibited substantial spatial non-stationarity. The GWR model performed better than the OLS model as it produced a higher adjusted $R^2$ value. Spatial variation in interactions among variables could be visualized by mapping $R^2$ values from the GWR model at fine spatial resolution. Using the GWR model, we were able to identify local pollution sources, determine habitat status, and recommend appropriate land-use planning policies for watershed management.

Adaptive Beamforming Based on Mean Steering Vector for Multipath Environment (여러길 환경에 알맞은 평균 조종 벡터를 바탕으로 한 적응 빔 만들기)

  • Kim, Suk-Chan;Yoon, Seok-Ho;Song, Iick-Ho;Park, So-Ryoung;Lee, Joo-Shik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.37 no.1
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    • pp.83-89
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    • 2000
  • Antenna arrays at base-stations can be used to transmit and receive information selectively in space by reducing the interference effects. In this paper, a new model of locally scattered signals in the vicinity of mobiles is proposed, and under this model the weights of the beamformer are obtained. Computer simulation results demonstrate that the proposed scheme shows an excellent performance and works well even in the urban environment where there exist many multipath propagations with wide angular spread.

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The Analysis of Rainwater Storage Facility Project for the Urban Disaster Prevention in Busan and its Countermeasures (도시방재를 위한 부산지역 우수저류시설 설치사업의 분석과 대책)

  • Hwang, Jae-Yun
    • Tunnel and Underground Space
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    • v.25 no.1
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    • pp.37-45
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    • 2015
  • Recently, many cities have always been affected by large natural disasters such as floods and landslides. As climate change causes more frequent localized heavy rains exceeding the conveyance capacity of sewer, flood damage is expected to increase. For the sake of reducing the urban flood damage by changed rainfall, there has been many trials on installation of runoff-reducing facilities. Therefore, it was required to study about reasonable analysis and countermeasure of rainwater storage facility project for extending it. This study was to review the status of rainwater storage facility project for the urban disaster prevention in Busan, to find out problems, and to propose the countermeasure of rainwater storage facility project for the urban disaster prevention.

A Hybrid Technique for Fire Animation (불의 애니메이션을 위한 복합적 기법)

  • Min, Kyung-Ha
    • Journal of Korea Game Society
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    • v.7 no.3
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    • pp.77-88
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    • 2007
  • In this paper, we present a new fire animation and visualization scheme. The most difficult problem in creating fire animation is how to simulate the mechanism of emitting lighting and heat of fire. We attack the difficulty by presenting a hybrid scheme that combines the simulation scheme and the combustion process in voxelized space where the numerical solution of the classical fluid equations is implemented. Therefore, the combustion process is simulated at each voxel and the amount of heat generated at the voxel is estimated. The generated heat will increase the temperature at the voxel, where results in the increase of turbulent motion of fire. We also propose a visualization scheme that modifies the photon mapping algorithm in order to render fire and various lighting effects of fire to the environments.

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Analysis of Fish Physical Habitat Changes Due to River Improvement (하천정비에 따른 어류 물리서식처의 변화량 분석)

  • Seo, Il-Won;Park, Sung-Won;Song, Chang-Geun;Kim, Sung-Eun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.551-555
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    • 2010
  • 수생 생태계에서 하천 어류 서식 환경을 보호하고 유지하기 위해서는 어류의 적절한 서식 공간 확보가 선행되어야 하며, 하천정비사업에 따른 준설 시 하상변동으로 및 유속 변화로 인하여 발생하는 다양한 영향을 충분히 검토해야 한다. 본 연구에서는 우선 교각의 설치와 합류부위치로 인해 발생하는 모의 영역 내의 2차원 흐름거동을 RMA-2 모형으로 분석하였다. 또한 어류의 미시서식처를 고려한 최적의 영역에 대한 면적을 산정하였다. 이를 위해서 2차원 물리 서식처 모의 모형인 River2D를 적용하여 가중가용면적-유량 관계 곡선의 도출을 통해서 최적유량 산정시 중요한 지표인 WUA (Weighted Usable Area)의 산정결과를 어종별, 지역별 그리고 정비사업 전후에 대한 비교하였다. 적용구간은 낙동강 살리기 사업의 25공구(칠곡2, 구미 1지구: 약 8.74 km) 전체를 대상으로 하며 그중에서도 지류 합류부인 경암천부근 (제1지역)과 교각부근(제2지역)에서의 분석을 실시하였다. 피라미에 대한 WUA 값 산정결과 하천정비후에 정량적인 개선 효과를 확인하였으나 안정적인 수심 및 유속분포 지역의 개선을 위한 설계검토가 필요하다 할 수 있다.

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Spatiotemporal analysis of the effect of rainfall data periods on probability rainfall (강우자료 기간에 따른 확률강우량의 시공간적 분석)

  • Lee, Moonyoung;An, Heejin;Lee, Jiwan;Kim, Kewtae;Jung, Younghun;Kim, Seongjoon;Um, Myoung-Jin;Park, Daeryong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.339-339
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    • 2022
  • 본 연구는 최신 강우 자료를 사용하여 자료의 기간을 네 가지 경우로 나누어 기간별 확률강우량을 산정하고 각 기간에 따른 확률강우량의 변화 특성을 파악하고자 하였다. 2020년을 기준으로 시강우 자료 관측기간이 40년 이상이 되는 62개 국내 강우관측소를 연구 대상으로 선정하였으며, 지점별 강우자료의 분석 기간은 최근 10년, 20년, 30년, 40년의 경우로 나누어 분석하였다. 분석기간에 따른 확률강우량은 Gumbel 분포형에 확률가중모멘트법을 적용하여 산정하였고, 이를 연강수량과 함께 공간적으로 분포시킨 결과, 연강수량의 분포에서 나타나지 않는 변화들이 확률강우량의 분포에서 명확히 드러나는 것을 확인할 수 있었다. 또한, 지속기간의 시간이 증가되고 재현기간이 커질수록 경기 북부와 전라남북도 경계 및 영동지방의 확률강우량이 증가하는 경향을 보였고, 최근 40년과 비교하였을 경우, 최근 10년, 20년, 30년 확률강우량의 변화량 결과에서 전라남도 지역은 지속기간 길어질수록 변화 양상이 뚜렷하게 보였으며, 강원도 지역은 최근 10년, 20년 변화량이 상이하게 나타났다. 기간에 따라 확률강우량의 변화량이 크거나 작은 대표 지역들을 선정하여 기간별 확률강우량의 IDF 곡선을 도시하여 비교 및 분석하였다.

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Development of an Automatic 3D Coregistration Technique of Brain PET and MR Images (뇌 PET과 MR 영상의 자동화된 3차원적 합성기법 개발)

  • Lee, Jae-Sung;Kwark, Cheol-Eun;Lee, Dong-Soo;Chung, June-Key;Lee, Myung-Chul;Park, Kwang-Suk
    • The Korean Journal of Nuclear Medicine
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    • v.32 no.5
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    • pp.414-424
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    • 1998
  • Purpose: Cross-modality coregistration of positron emission tomography (PET) and magnetic resonance imaging (MR) could enhance the clinical information. In this study we propose a refined technique to improve the robustness of registration, and to implement more realistic visualization of the coregistered images. Materials and Methods: Using the sinogram of PET emission scan, we extracted the robust head boundary and used boundary-enhanced PET to coregister PET with MR. The pixels having 10% of maximum pixel value were considered as the boundary of sinogram. Boundary pixel values were exchanged with maximum value of sinogram. One hundred eighty boundary points were extracted at intervals of about 2 degree using simple threshold method from each slice of MR images. Best affined transformation between the two point sets was performed using least square fitting which should minimize the sum of Euclidean distance between the point sets. We reduced calculation time using pre-defined distance map. Finally we developed an automatic coregistration program using this boundary detection and surface matching technique. We designed a new weighted normalization technique to display the coregistered PET and MR images simultaneously. Results: Using our newly developed method, robust extraction of head boundary was possible and spatial registration was successfully performed. Mean displacement error was less than 2.0 mm. In visualization of coregistered images using weighted normalization method, structures shown in MR image could be realistically represented. Conclusion: Our refined technique could practically enhance the performance of automated three dimensional coregistration.

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An Application of Statistical Downscaling Method for Construction of High-Resolution Coastal Wave Prediction System in East Sea (고해상도 동해 연안 파랑예측모델 구축을 위한 통계적 규모축소화 방법 적용)

  • Jee, Joon-Bum;Zo, Il-Sung;Lee, Kyu-Tae;Lee, Won-Hak
    • Journal of the Korean earth science society
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    • v.40 no.3
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    • pp.259-271
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    • 2019
  • A statistical downscaling method was adopted in order to establish the high-resolution wave prediction system in the East Sea coastal area. This system used forecast data from the Global Wave Watch (GWW) model, and the East Sea and Busan Coastal Wave Watch (CWW) model operated by the Korea Meteorological Administration (KMA). We used the CWW forecast data until three days and the GWW forecast data from three to seven days to implement the statistical downscaling method (inverse distance weight interpolation and conditional merge). The two-dimensional and station wave heights as well as sea surface wind speed from the high-resolution coastal prediction system were verified with statistical analysis, using an initial analysis field and oceanic observation with buoys carried out by the KMA and the Korea Hydrographic and Oceanographic Agency (KHOA). Similar to the predictive performance of the GWW and the CWW data, the system has a high predictive performance at the initial stages that decreased gradually with forecast time. As a result, during the entire prediction period, the correlation coefficient and root mean square error of the predicted wave heights improved from 0.46 and 0.34 m to 0.6 and 0.28 m before and after applying the statistical downscaling method.

Research on the Spatio-temporal Distribution Pattern of Temperature Using GIS in Korea Peninsular (GIS를 이용한 한반도 기온의 시·공간적 분포패턴에 관한 연구)

  • KIM, Nam-Shin
    • Journal of The Geomorphological Association of Korea
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    • v.15 no.2
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    • pp.85-94
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    • 2008
  • This study is to construe spatio-temporal characteristics of temperature in cities and changes of climatical regions in analyzing a change of Korea Peninsular climate. We used daily mean air temperature data which was collected in South and North Korea for the past 34 years from 1974 to 2007. We created temperature map of 500m resolution using Inverse Distance Weight in application with adiabatic lapse rate per month in linear relation with height and temperature. In the urbanization area, the data analyzed population in comparison with temperature changes by the year. An annual rising rate of temperature was calculated $0.0056^{\circ}C$, and the temperature was increased $2.14^{\circ}C$ from 1974 to 2107. The south climate region in Korea by the Warmth index was expanded to the middle climate region by the latitude after 1990s. A rise of urban area in mean temperature was $0.5-1.2^{\circ}C$, Seoul, metropolitan and cities which were high density of urbanization and industrialization with the population increase between 1980s and 1990s. In case of North Korea, Cities were Pyeongyang, Anju, Gaecheon, Hesan. A rise in cities areas in mean temperature has influence on vegetation, especially secondary growth such as winter buds of pine trees appears built-up area and outskirts in late Autumn. Finally, nowaday we confront diverse natural events over climatical changes, We need a long-term research to survey and analyze an index on the climatical changes to present a systematic approach and solution in the future.