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http://dx.doi.org/10.11108/kagis.2017.20.3.141

Estimation of Flood Discharge Using Satellite-Derived Rainfall in Abroad Watersheds - A Case Study of Sebou Watershed, Morocco -  

KIM, Joo-Hun (Department of Hydro Science and Engineering Research, KICT)
CHOI, Yun-Seok (Department of Hydro Science and Engineering Research, KICT)
KIM, Kyung-Tak (Department of Hydro Science and Engineering Research, KICT)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.20, no.3, 2017 , pp. 141-152 More about this Journal
Abstract
This paper presents a technical method for flood estimation based on satellite rainfall and satellite rainfall correction method for watersheds lacking measurement data. The study area was the Sebou Watershed, Morocco. The Integrated Flood Analysis System(IFAS) and Grid-based Rainfall-Runoff Model(GRM) were applied to estimate watershed runoff. Daily rainfall from ground gauges and satellite-derived hourly data were used. In the runoff simulation using satellite rainfall data, the composites of the daily gauge rainfall and the hourly satellite data were applied. The Shuttle Radar Topographic Mission Digital Elevation Model(SRTM DEM) with a 90m spatial resolution and 1km resolution data from Global map land cover and United States Food and Agriculture Organization(US FAO) Harmonized World Soil Database(HWSD) were used. Underestimated satellite rainfall data were calibrated using ground gauge data. The simulation results using the revised satellite rainfall data were $5,878{\sim}7,434m^3/s$ and $6,140{\sim}7,437m^3/s$ based on the IFAS and GRM, respectively. The peak discharge during flooding of Sebou River Watershed in 2009~2010 was estimated to range from $5,800m^3/s$ to $7,500m^3/s$. The flood estimations from the two hydrologic models using satellite-derived rainfall data were similar. Therefore, the calibration method using satellite rainfall suggested in this study can be applied to estimate the flood discharge of watersheds lacking observational data.
Keywords
Satellite Rainfall; IFAS; mwGRM; Global Map; Morocco; Flood;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 Sohn, B.J., H.J. Han, and E.K. Seo. 2010. Validation of satellite-based high-resolution rainfall products over the Korean Peninsula using data from a dense rain gauge network. Journal of Applied Meteorology and Climatology 49(4):701-714.   DOI
2 Xie, P, S.H. Yoo, R. Joyce, and Y. Yarosh. 2011. Bias-corrected CMORPH: a 13-year analysis of high-resolution global precipitation. NOAA's Climate Prediction Center (presentation). Available at: http://ftp.cpc.ncep.noaa.gov/precip/CMORPH_V1.0/REF/EGU_1104_Xie_bias-CMORPH.pdf (Accessed May 3, 2016).
3 Alemseged, T.H., E. Habib, and T. Rientjes. 2013. Evaluation of the Climate Prediction Center (CPC) morphing technique (CMOR PH) rainfall product on hourly time scales over the source of the Blue Nile River. Hydrological Process 27(2):1829-1839.   DOI
4 Apip, K.T., Y. Yamashiki, K. Sassa, A.B. Ibrahim, and H. Fukuoka. 2010. A distributed hydrological-geotechnical model using satellite-derived rainfall estimates for shallow landslide prediction system at a catchment scale. Landslides 7(3):237-258.   DOI
5 Immerzeel, W.W. 2010. Bias correction for satellite precipitation estimation used by the MRC Mekong flood forecasting system. Mekong River Commission Mission report. Available at: http://www.futurewater.nl/projects/bias-correction-precipitation/(Accessed April 5, 2017).
6 Kim, J.H., K.T. Kim, and Y.S. Choi. 2015. Flow estimation using rainfalls derived from multi-satellite images in North Korea. Journal of the Korean Association of Geographic Information Studies 18(4): 31-42 (김주훈, 김경탁, 최윤석. 2015. 위성강우자료를 이용한 북한지역 홍수량 추정. 한국지리정보학회지 18(4):31-42).   DOI
7 Kim, K.T. and J.H. Kim. 2013. Introduce for case study of rainfall observations and application using satellite. Magazine of Korea Water Resources Association (Water for Future) 46(4):66-75 (김경탁,김주훈. 2013. 인공위성을 이용한 강우관측자료 및 활용 사례 소개. 한국수자원학회지46(4):66-75).
8 Kim, J.H., K.T. Kim, and Y.S. Choi. 2013a. Fitness evaluation of CMORPH satellitederived precipitation data in Korea. Journal of Wetlands Research 15(3):339-346 (김주훈, 김경탁, 최윤석. 2013a. 한반도의 CMORPH 위성강수자료 정확도 평가.한국습지학회 논문집 15(3):339-346).   DOI
9 Kim, J.H., K.T. Kim, and Y.S. Choi. 2014. Runoff estimation using rainfalls derived from multi-satellite images. Journal of the Korean Association of Geographic Information Studies 17(1):107-118 (김주훈, 김경탁, 최윤석. 2014. 다중 위성 강우자료를 이용한 유출 평가. 한국지리정보학회지17(1):107-118).   DOI
10 Kim, J.P., K.W. Park, I.W. Joung, K.S. Han, and G.S. Kim. 2013b. Application of high resolution multi-satellite precipitation products and a distributed hydrological modeling for daily runoff simulation. Korea Journal of Remote Sensing 29(2):263-274 (김종필, 박경원, 정일원, 한경수, 김광섭.2013b. 고해상도 다중위성 강수자료와 분포형 수문모형의 유출모의 적용. 대한원격탐사학회 논문집 29(2):263-274).   DOI
11 Namgung, D. and S.H. Lee. 2014. Introduction of upper Trishuli 1 hydropower project in Nepal. The Magazine of the Korea Society of Civil Engineers 62(6): 57-60 (남궁돈, 이상화. 2014. 네팔 수력발전 사업 소개. 대한토목학회 62(6):57-60).
12 Pereira Filho, A.J., R.E. Carbone, J.E. Janowiak, P. Arkin, R. Joyce, R. Hallak, and C.G.M. Ramos. 2010. Satellite rainfall estimates over South America-possible applicability to the water management of large watersheds. Journal of the American Water Resources Association 46(2):344-360.   DOI