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2019 Vol.52, Issue 1 Preview Page

Research Article

Evaluation of GPM satellite and S-band radar rain data for flood simulation using conditional merging method and KIMSTORM2 distributed model

조건부합성 기법과 KIMSTORM2 분포형 수문모형을 이용한 GPM 위성 강우자료 및 Radar 강우자료의 홍수모의 평가

Se Hoon Kima
,
Chung Gil Jungb*
,
Won Jin Jangc
,
Seong Joon Kimd
김 세훈a
,
정 충길b*
,
장 원진c
,
김 성준d
aGraduated student, Department of Civil, Environmental and Plant Engineering, Konkuk University
bPostdoctoral Research Associate, Texas A&M AgriLife Research Center at El Paso
cGraduated student, Department of Civil, Environmental and Plant Engineering, Konkuk University
dProfessor, Department of Civil, Environmental and Plant Engineering, Konkuk University
a건국대학교 공과대학 사회환경플랜트공학과 석사과정
bTexas A&M AgriLife Research Center at El Paso 박사 후 연구원
c건국대학교 공과대학 사회환경플랜트공학과 석사과정
d건국대학교 대학원 사회환경플랜트공학과 교수
* Corresponding Author
31 January 2019. pp. 21-33
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Abstract

This study performed to simulate the watershed storm runoff using data of S-band dual-polarization radar rain, GPM (Global Precipitation Mission) satellite rain, and observed rainfall at 21 ground stations operated by KMA (Korea Meteorological Administration) respectively. For the 3 water level gauge stations (Sancheong, Changchon, and Namgang) of NamgangDam watershed (2,293 km2), the KIMSTORM2 (KIneMatic wave STOrm Runoff Model2) was applied and calibrated with parameters of initial soil moisture contents, Manning’s roughness of overland and stream to the event of typhoon CHABA (82 mm in watershed aveprage) in 5th October 2016. The radar and GPM data was corrected with CM (Conditional Merging) method such as CM-corrected Radar and CM-corrected GPM. The CM has been used for accurate rainfall estimation in water resources and meteorological field and the method combined measured ground rainfall and spatial data such as radar and satellite images by the kriging interpolation technique. For the CM-corrected Radar and CM-corrected GPM data application, the determination coefficient (R2) was 0.96 respectively. The Nash-Sutcliffe efficiency (NSE) was 0.96 and the Volume Conservation Index (VCI) was 1.03 respectively. The CM-corrected data of Radar and GPM showed good results for the CHABA peak runoff and runoff volume simulation and improved all of R2, NSE, and VCI comparing with the original data application. Thus, we need to use and apply the radar and satellite data to monitor the flood within the watershed.

Keywords
Radar
GPM
Kriging
KIMSTORM2
Conditional merging

본 연구에서는 비슬산 이중편파 Radar 자료와, GPM 위성자료 및 21개 (Korea Meteorological Administration, KMA) 지상강우자료를 활용하여 분포형 강우-유출 모형(KIneMatic wave STOrm Runoff Model2, KIMSTORM2)을 이용해 남강댐 유역(2,293 km2)을 대상으로 유출해석을 수행하였다. 모형의 유출 해석은 2016년 10월 5일 02:00∼09:00 총 8시간 동안 최대강우강도 33 mm/hr, 유역평균 총 강우량 82 mm이 발생한 태풍 차바(CHABA)를 대상으로 하였으며, Radar 및 GPM 자료와 조건부합성(Conditional Merging, CM) 기법을 적용한 Radar (CM-corrected Radar) 및 GPM (CM-corrected GPM) 자료를 각각 활용하여 결과를 비교하였다. 이 때, 공간 강우자료에 유출 검보정은 남강댐 유역 내 3개의 수위관측 지점(산청, 창촌, 남강댐)을 대상으로 실시하였으며, 모형의 매개변수 초기토양수분함량, 지표와 하천의 Manning 조도계수를 이용하여 검보정하였다. 유출 결과는 결정계수(Determination coefficient, R2), Nash-Sutcliffe의 모형효율계수(NSE) 및 유출용적지수(Volume Conservation Index, VCI)를 산정하였다. 그 결과 CM-corrected Radar, GPM 자료가 평균 R2는 0.96, NSE의 경우 0.96, 유출용적지수(VCI)는 1.03으로 가장 우수한 결과를 나타내었다. 최종적으로 CM 기법을 이용한 보정된 공간분포자료는 기존의 자료에 비해 시공간적으로 정확한 홍수 예측에 사용 될 것으로 판단된다.

키워드
GPM
KIMSTORM2
Distributed rainfall-runoff model
조건부합성 기법
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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 : 52
  • No :1
  • Pages :21-33
  • Received Date : 2018-08-10
  • Revised Date : 2018-10-30; 2018-11-05
  • Accepted Date : 2018-11-05
  • DOI :https://doi.org/10.3741/JKWRA.2019.52.1.21
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