A Study on the determination of the optimal resolution for the application of the distributed rainfall-runoff model to the flood forecasting system – focused on Geumho river basin using GRM

Sooyoung Kim; Kwang Seok Yoon

doi:10.3741/JKWRA.2019.52.2.107

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2019 Vol.52, Issue 2 Preview Page Next Page

Research Article

A Study on the determination of the optimal resolution for the application of the distributed rainfall-runoff model to the flood forecasting system – focused on Geumho river basin using GRM 분포형 유역유출모형의 홍수예보시스템 적용을 위한 최적해상도 결정에 관한 연구 – GRM 모형을 활용하여 금호강 유역을 중심으로

28 February 2019. pp. 107-113

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Abstract

The flood forecasting model currently used in Korea calculates the runoff of basin using the lumped rainfall-runoff model and estimates the river level using the river and reservoir routing models. The lumped model assumes homogeneous drainage zones in the basin. Therefore, it can not consider various spatial characteristics in the basin. In addition, the rainfall data used in lumped model also has the same limitation because of using the point scale rainfall data. To overcome the limitations as mentioned above, many researchers have studied to apply the distributed rainfall-runoff model to flood forecasting system. In this study, to apply the Grid-based Rainfall-Runoff Model (GRM) to the Korean flood forecasting system, the optimal resolution is determined by analyzing the difference of the results of the runoff according to the various resolutions. If the grid size is to small, the computation time becomes excessive and it is not suitable for applying to the flood forecasting model. Even if the grid size is too large, it does not fit the purpose of analyzing the spatial distribution by applying the distributed model. As a result of this study, the optimal resolution which satisfies the accuracy of the bsin runoff prediction and the calculation speed suitable for the flood forecasting was proposed. The accuracy of the runoff prediction was analyzed by comparing the Nash-Sutcliffe model efficiency coefficient (NSE). The optimal resolution estimated from this study will be used as basic data for applying the distributed rainfall-runoff model to the flood forecasting system.

Keywords

Flood forecast

Distributed model

GRM

Optimal resolution

Nash-Surcliffe model efficiency coefficient

한국에서 현재 사용되고 있는 홍수예보모형은 집중형 강우-유출모형을 적용하여 유역의 유출을 계산하고 하도 및 저수지 추적모형 등을 활용하여 하천의 수위를 예측한다. 집중형 모형은 유역을 동질의 배수구역으로 가정한다. 따라서 유역내의 다양한 공간적 특성을 고려하지 못한다는 단점이 있다. 또한, 사용되는 강우자료도 지점강우를 활용하기 때문에 공간적인 분포를 자세히 고려하지 못한다는 한계가 있다. 따라서 홍수예보모형에 분포형 모형을 적용하기 위한 연구가 다양하게 진행되고 있다. 본 연구에서는 GRM모형을 한국 홍수예보시스템에 적용하기 위해 모형의 다양한 해상도에 따른 유역유출의 결과의 차이를 분석하여 최적의 해상도를 결정하고자 한다. 모형의 격자가 너무 조밀한 경우 계산시간이 과다하게 되어 홍수예보모형에 적용하기에는 적합하지 않다. 너무 성길 경우에도 분포형 모형을 적용하여 공간적인 분포를 파악하고자 하는 목적에 맞지 않게 된다. 본 연구의 결과로 유역유출 예측의 정확성을 만족시키고 홍수예보에 적합한 계산속도가 나올 수 있는 최적 해상도를 제시하였다. 유출량 예측의 정확도는 Nash-Sutcliffe model efficiency coefficient (NSE) 값의 비교를 통해 분석하였다. 본 연구에서 도출된 최적해상도 산정 결과는 분포형 유역유출모형을 홍수예보모형에 적용하기 위한 기초자료로 활용될 것이다.

키워드

홍수예보

분포형 모형

GRM

최적 해상도

Nash-Sutcliffe 모형 영향계수

References

Beven, K. J., and Kirkby, M. J. (1979). "A physically based, variable contributing area model of basin hydrology." Hydrological Sciences Journal, Vol. 24, No. 1, pp. 43-69.

10.1080/02626667909491834

Brocca, L., Melone, F., and Moramarco, T. (2011). "Distributed rainfall-runoff modelling for flood frequency estimation and flood forecasting." Hydrological processes, Vol. 25, No. 18, pp. 2801- 2813.

10.1002/hyp.8042

Choi, Y. S., and Kim, K. T. (2010). "Sensitive analysis of GRM parameter." Proceeding of Annual Conference of Korea Water Resource Association, Korea Water Resource Association. pp. 1114-1118.

Chow, V. T., Maidment, D. R., and Mays, L.W. (1988). Applied hydrology. McGraw-Hill, pp. 110-147.

Engman, E. T. (1986). "Roughness coefficients for routing surface runoff." Journal of Irrigation and Drainage Engineering, Vol. 112, No. 1, pp. 39-53.

10.1061/(ASCE)0733-9437(1986)112:1(39)

Korea Institute of Civil engineering and building Technology (KICT) (2018). Grid based Rainfall-runoff Model User's Manual.

Montaldo, N., Rondena, R., Albertson, J. D., and Mancini, M. (2005). "Parsimonious modeling of vegetation dynamics for ecohydrologic studies of water-limited ecosystems." Water Resources Research, Vol. 41, No. 10, pp. 1-16.

10.1029/2005WR004094

National Institute of Agricultural Science and Technology (1992). An Introduction to Korean Soils-Supplement, Soil Survey Material 13, Rural Development Administration, pp. 283-290. (in Korean)

Noh, S. J., Choi, S. W., Choi, Y. S., and Kim, K. T. (2014). "Impact assessment of spatial resolution of radar rainfall and a distributed hydrologic model on parameter estimation." Journal of The Korean Society of Civil Engineers, Vol. 34, No. 5, pp. 1443-1454.

10.12652/Ksce.2014.34.5.1443

Park, J. H., Kang, B. S., and Lee, G. S. (2008). "Application analysis of GIS based distributed model using radar rainfall." Journal of the Korean Society for Geospatial Information Science, Vol. 16, No. 1, pp. 23-32.

Rawls, W. J., Brakensiek, D. L., and Miller, N. (1983). "Green- Ampt infiltration parameters from soils data." Journal of Hydarulic Engineering, Vol. 109, No. 1, pp. 62-70.

10.1061/(ASCE)0733-9429(1983)109:1(62)

Vieux, B. E. (2004). Distributed Hydrologic Modeling Using GIS, Kluwer Academic Publishers.

Water Resources Management Information System (WAMIS) (2003). Republic of Korea, accessed 6 November 2018, <http://www.wamis.go.kr/eng/main.aspx>.

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 :2
Pages :107-113
Received Date : 2018-11-07
Revised Date : 2018-12-07
Accepted Date : 2018-12-14
DOI :https://doi.org/10.3741/JKWRA.2019.52.2.107

Journal of Korea Water Resources Association ISSN:2799-8746(Print) 2799-8754(Online) 한국수자원학회 논문집

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