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      분포형 모형과 클라우드 서비스를 이용한 낙동강 실시간 유출해석시스템 개발 및 성능평가 = Development and Performance Assessment of the Nakdong River Real-Time Runoff Analysis System Using Distributed Model and Cloud Service

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      https://www.riss.kr/link?id=A103630566

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      다국어 초록 (Multilingual Abstract)

      The objective of this study was to develop a runoff analysis system of the Nakdong River watershed using the GRM (Grid-based Rainfall-runoff Model), a physically-based distributed rainfall-runoff model, and to assess the system run time performance according to Microsoft Azure VM (Virtual Machine) settings. Nakdong River watershed was divided into 20 sub-watersheds, and GRM model was constructed for each subwatershed. Runoff analysis of each watershed was calculated in separated CPU process that maintained the upstream and downstream topology. MoLIT (Ministry of Land, Infrastructure and Transport) real-time radar rainfall and dam discharge data were applied to the analysis. Runoff analysis system was run in Azure environment, and simulation results were displayed through web page. Based on this study, the Nakdong River real-time runoff analysis system, which consisted of a real-time data server, calculation node (Azure), and user PC, could be developed. The system performance was more dependent on the CPU than RAM. Disk I/O and calculation bottlenecks could be resolved by distributing disk I/O and calculation processes, respectively, and simulation runtime could thereby be decreased. The study results could be referenced to construct a large watershed runoff analysis system using a distributed model with high resolution spatial and hydrological data.
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      The objective of this study was to develop a runoff analysis system of the Nakdong River watershed using the GRM (Grid-based Rainfall-runoff Model), a physically-based distributed rainfall-runoff model, and to assess the system run time performance ac...

      The objective of this study was to develop a runoff analysis system of the Nakdong River watershed using the GRM (Grid-based Rainfall-runoff Model), a physically-based distributed rainfall-runoff model, and to assess the system run time performance according to Microsoft Azure VM (Virtual Machine) settings. Nakdong River watershed was divided into 20 sub-watersheds, and GRM model was constructed for each subwatershed. Runoff analysis of each watershed was calculated in separated CPU process that maintained the upstream and downstream topology. MoLIT (Ministry of Land, Infrastructure and Transport) real-time radar rainfall and dam discharge data were applied to the analysis. Runoff analysis system was run in Azure environment, and simulation results were displayed through web page. Based on this study, the Nakdong River real-time runoff analysis system, which consisted of a real-time data server, calculation node (Azure), and user PC, could be developed. The system performance was more dependent on the CPU than RAM. Disk I/O and calculation bottlenecks could be resolved by distributing disk I/O and calculation processes, respectively, and simulation runtime could thereby be decreased. The study results could be referenced to construct a large watershed runoff analysis system using a distributed model with high resolution spatial and hydrological data.

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      참고문헌 (Reference)

      1 전병국, "이중편파 레이더의 강우관측 능력 평가" 한국방재학회 12 (12): 215-224, 2012

      2 김동영, "수재해 정보 플랫폼 통합관리를 위한 표준기술 적용방안" 한국지리정보학회 18 (18): 119-130, 2015

      3 홍우용, "분포형 유역 일유출 모형의 개발 및 적용성 검토" 대한토목학회 30 (30): 459-469, 2010

      4 최윤석, "분포형 모형의 다지점 보정 모듈 개발 - GRM 모형을 중심으로 -" 한국지리정보학회 15 (15): 103-118, 2012

      5 정성영, "분포형 강우유출모형 병렬화 처리기법 적용" 한국수자원학회 43 (43): 747-755, 2010

      6 김연수, "레이더 자료의 해상도를 고려한 분포형 강우-유출 모형의 GIS 자료 최적 격자의 결정" 한국습지학회 13 (13): 105-116, 2011

      7 노성진, "레이더 강우 및 분포형 수문모형의 공간해상도가 매개변수 추정에 미치는 영향 평가" 대한토목학회 34 (34): 1443-1454, 2014

      8 최윤석, "기상레이더와 분포형 모형을 이용한 실시간 유출해석 시스템 개발 및 평가" 한국습지학회 14 (14): 385-397, 2012

      9 윤구선, "공간정보 웹 서비스에서 OGC WPS 2.0 적용" 한국지리정보학회 19 (19): 16-28, 2016

      10 Siuta, D., "Viability of cloud computing for real-time numerical weather prediction" 31 : 1985-1996, 2016

      1 전병국, "이중편파 레이더의 강우관측 능력 평가" 한국방재학회 12 (12): 215-224, 2012

      2 김동영, "수재해 정보 플랫폼 통합관리를 위한 표준기술 적용방안" 한국지리정보학회 18 (18): 119-130, 2015

      3 홍우용, "분포형 유역 일유출 모형의 개발 및 적용성 검토" 대한토목학회 30 (30): 459-469, 2010

      4 최윤석, "분포형 모형의 다지점 보정 모듈 개발 - GRM 모형을 중심으로 -" 한국지리정보학회 15 (15): 103-118, 2012

      5 정성영, "분포형 강우유출모형 병렬화 처리기법 적용" 한국수자원학회 43 (43): 747-755, 2010

      6 김연수, "레이더 자료의 해상도를 고려한 분포형 강우-유출 모형의 GIS 자료 최적 격자의 결정" 한국습지학회 13 (13): 105-116, 2011

      7 노성진, "레이더 강우 및 분포형 수문모형의 공간해상도가 매개변수 추정에 미치는 영향 평가" 대한토목학회 34 (34): 1443-1454, 2014

      8 최윤석, "기상레이더와 분포형 모형을 이용한 실시간 유출해석 시스템 개발 및 평가" 한국습지학회 14 (14): 385-397, 2012

      9 윤구선, "공간정보 웹 서비스에서 OGC WPS 2.0 적용" 한국지리정보학회 19 (19): 16-28, 2016

      10 Siuta, D., "Viability of cloud computing for real-time numerical weather prediction" 31 : 1985-1996, 2016

      11 Young, A., "Stream flow simulation within UK ungauged catchments using a daily rainfall-runoff model" 320 (320): 155-172, 2006

      12 Muleta, M. K., "Sensitivity of a distributed watershed simulation model to spatial scale" 12 (12): 163-172, 2007

      13 Blöschl, G, "Scale issues in hydrological modeling: a review" 9 (9): 251-290, 1995

      14 Choi, Y.S., "Multi-site calibration using a grid-based event rainfall–runoff model: a case study of the upstream areas of the Nakdong River basin in Korea" 29 (29): 2089-2099, 2015

      15 Zhang X., "Multi-site calibration of the SWAT model for hydrologic modeling" 51 (51): 2039-2049, 2008

      16 Kang, M.G., "Methodologies for incorporating smart water grid into water resources management considering the outlook for future water resources" 785-789, 2012

      17 박재홍, "MPI 기법을 이용한 병렬 홍수침수해석" 한국수자원학회 47 (47): 1051-1060, 2014

      18 Chen, Y., "Large-watershed flood forecasting with high-resolution distributed hydrological model" 21 : 735-749, 2017

      19 Demir, I., "Hydroinformatics on the cloud: data integration, modeling and information communication for flood risk management" 2014

      20 Choi, Y.S., "Grid based rainfall-runoff model user's manual for MapWindow GIS"

      21 Glenis, V., "Flood modelling for cities using cloud computing" 2 : 7-, 2013

      22 Andersen, J., "Distributed hydrological modeling of the Senegal river basin-model construction and validation" 247 (247): 200-214, 2001

      23 Korea Institute of Civil Engineering and Building Technology, "Development of flood/snowstorm disaster forecasting and warning platform based on hydrological radars. 4th year research report" 11-19, 2016

      24 Korea Institute of Civil Engineering and Building Technology, "Development of flood/snowstorm disaster forecasting and warning platform based on hydrological radars. 3rd year research report" 205-220, 2015

      25 Vivoni, E. R., "Controls on runoff generation and scale-dependence in a distributed hydrologic model" 11 : 1683-1701, 2007

      26 Kosukhin, S. S., "Cloud technology for forecasting accuracy evaluation of extreme metocean Events" 51 : 2933-2937, 2015

      27 Brettschneider, M., "Cloud computing applied to calibration of flood simulation models" 25 (25): 171-177, 2015

      28 Quiroga, V. M., "Cloud and cluster computing in uncertainty analysis of integrated flood models" 15 (15): 55-70, 2013

      29 Ajami, N. K., "Calibration of a semidistributed hydrologic model for streamflow estimation along a river system" 298 (298): 112-135, 2004

      30 Jung, D. H., "Application of parallel computation to water resources engineering" 49 (49): 75-83, 2016

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.82 0.82 0.84
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.88 0.8 0.98 0.14
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