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http://dx.doi.org/10.11108/kagis.2019.22.4.039

Yongdam Dam Watershed Flood Simulation Using GPM Satellite Data and KIMSTORM2 Distributed Storm Runoff Model  

KIM, Se-Hoon (Dept. of Civil, Environmental and Plant Engineering, Konkuk University)
KIM, Jin-Uk (Dept. of Civil, Environmental and Plant Engineering, Konkuk University)
CHUNG, Jee-Hun (Dept. of Civil, Environmental and Plant Engineering, Konkuk University)
KIM, Seong-Joon (School of Civil and Environmental Engineering, Konkuk University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.22, no.4, 2019 , pp. 39-58 More about this Journal
Abstract
This study performed the dam watershed storm runoff modeling using GPM(Global Precipitation Measurement) satellite rain and KIMSTORM2(KIneMatic wave STOrm Runoff Model 2) distributed model. For YongdamDam watershed(930㎢), three heavy rain events of 25th August 2014, 11th September 2017, and 26th June 2018 were selected and tested for 4 cases of spatial rainfalls such as (a) Kriging interpolated data using ground observed data at 7 stations, (b) original GPM data, (c) GPM corrected by CM(Conditional Merging), and GPM corrected by GDA(Geographical Differential Analysis). For the 4 kinds of data(Kriging, GPM, CM-GPM, and GDA-GPM), the KIMSTORM2 was calibrated respectively using the observed flood discharges at 3 water level gauge stations(Cheoncheon, Donghyang, and Yongdam) with parameters of initial soil moisture contents, stream Manning's roughness coefficient, and effective hydraulic conductivity. The total average Nash-Sutcliffe efficiency(NSE) for the 3 events and 3 stations was 0.94, 0.90, 0.94, and 0.94, determination coefficient(R2) was 0.96, 0.92, 0.97 and 0.96, the volume conservation index(VCI) was 1.03, 1.01, 1.03 and 1.02 for Kriging, GPM, CM-GPM, and GDA-GPM applications respectively. The CM-GPM and GDA-GPM showed better results than the original GPM application for peak runoff and runoff volume simulations, and they improved NSE, R2, and VCI results.
Keywords
KIMSTORM2; GPM; Conditional Merging; Geographical Differential Analysis;
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Times Cited By KSCI : 16  (Citation Analysis)
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1 Jung, I.K., J.Y., Park, H.K., Joh, J.W., Lee, and S.J., Kim 2010a. Development of Stream Width and Bed-slope Estimation Equations for Preparing Data for Distributed Storm Runoff Model. Journal of the Korean Society of Agricultural Engineers. 52(4):1-10   DOI
2 Jung, I.K., J.Y., Park, M.J., Park, H.J., Shin, H.G., Jeong, and S.J., Kim. 2010b. Application of a Grid-Based Rainfall-Runoff Model Using SRTM DEM. Journal of the Korean Association of Geographic Information Studies. 13(4):157-169   DOI
3 Jung, W.H. 2018. Dam Inflow Evaluation using Hydrograph Analysis. Journal of the Korean Society of Agricultural Engineers. 60(3):95-105   DOI
4 Kang, N.R., H.J., Joo, M.J., Lee, and H.S., Kim. 2017. Generation of radar rainfall ensemble using probabilistic approach. Journal of Korea Water Resources Association. 50(3):115-167
5 Kim, K.Y., J.M., Park, J.G., Baik, and M.H., Choi. 2017. Evaluation of topographical and seasonal feature using GPM IMERG and TRMM 3B42 over Far-East Asis. Atmospheric Research. 187:95-105.   DOI
6 Kim, S.H., C.G., Jung, W.J., Jang, and S.J., Kim. 2019. Evaluation of GPM satellite and S-band radar rain data for flood simulation using conditional merging method and KIMSTORM2 distributed model. Journal of Korea Water Resources Association. 52(1):21-33
7 Kim, S.J. (1998). Grid-based KIneMatic Wave STOrm Runoff Model (KIMSTORM) ( I ): Theory and Model. Journal of Korea Water Resources Association. 31(3):303-308
8 Kim, S.J., and H.S., Chae. 2000. Groundwater Recharge Assessment via Grid-based Soil Moisture Route Modeling. Journal of Korea Water Resources Association. 33(1):61-72
9 Kim, S.J., H.S., Chae, and S.C., Shin. 1998. Grid-Based KIneMatic Wave STOrm Runoff Model (KIMSTORM)( II ): Application (Applied to Yoncheon Dam Watershed). Journal of Korea Water Resources Association. 31(3):309-315
10 Kim, T.S., and Y.H., Jung. 2016. Accurate Estimation of Settlement Profile Behind Excavation Using Conditional merging Technique. Journal of the Korean Geo-Environmental Society. 17(8):39-44   DOI
11 Lee, J.H., M.H., Choi, and D.K., Kim. 2016. Spatial merging of satellite based soil moisture and in-situ soil moisture using conditional merging technique. Journal of Korea Water Resources Association. 49(3):263-273   DOI
12 Park, J.Y., H., Jung, C.H., Jang, and S.J., Kim. 2014. Assessing Climate Change Impact on Hydrological Components of Yongdam Dam Watershed Using RCP Emission Scenarios and SWAT Model. Journal of the Korean Society of Agricultural Engineers. 56(3):19-29   DOI
13 Pergram, G.G.S. 2002. Spatial Interpolation and Mapping of Rainfall: 3. Optimal Integration of Rain Gauge, Radar & Satellite-derived Data in the Production of Daily Rainfall Maps. Progress Report to the Water Research Commission.
14 Sharifi, E.R. Steinacker, and B., Saghafian. 2016. Assessment of GPM-IMERG and Other Precipitation Products against Gauge Data under Different Topographic and Climatic Conditions in Iran: Preliminary Results. Remote Sensing. 9(2):135.   DOI
15 Soe, E.K. 2012. Rainfall characteristics in the tropical oceans: observations using TRMM TMI and PR. Journal of Korean Earth Science Society. 33(2):113-125   DOI
16 Wang, W. and H., Lu. 2016. Evaluation and comparison of newest GPM and TRMM products over Mekong river basin at daily scale. Proceedings Geoscience and Remote Sensing Symposium(IGARSS), 2016 IEEE International, pp. 613-616.
17 Ahn, S.R., H.S., Park, M.S., Han, and S.J., Kim. 2014. Applicability of Sobaek Radar Rain for Flood Routing of Chungju Dam Watershed. Journal of the Korean Association of Geographic Information Studies. 17(1):129-143   DOI
18 Worqlul, A.W., B., Maathuis, A.A., Adem, S.S., Demissie, S., Langan, and T.S., Steenhuis. 2014. Comparison of rainfall estimations by TRMM 3B42, MPEG and CFSR with ground observed data for the Lake Tana basin in Ethiopia. Hydrology and Earth System Sciences. 18(12):4871-4881.   DOI
19 Ahn, S.R., C.H., Jang, S.H., Kim, M.S., Han, J.H., Kim, and S.J., Kim. 2013. Discussion for the Effectiveness of Radar Data through Distributed Storm Runoff Modeling. Journal of the Korea Society of Agricultural Engineers. 55(6):19-30   DOI
20 Ahn, S.R., C.G., Jung, and S.J., Kim. 2015. A Study on the Effectiveness of Radar Rainfall by Comparing with Flood Inundation Record Map Using KIMSTORM (Grid-based KIneMatic Wave STOrm Runoff Model). Journal of Korea Water Resources Association. 48(11):925-936   DOI
21 Baik, J.J., and M.H., Choi. 2015. Spatiotemporal variability of remotely sensed precipitation data from COMS and TRMM: case study of Korean peninsula in East Asia. Advances in Space Research. 56(6):1125-1138.   DOI
22 Baik, J.J., J.M., Park, K,Y., Kim, and M.H., Choi. 2018. Assessment and merging technique for GPM satellite precipitation product using ground based measurement. Journal of Korea Water Resources Association. 51(2):131-140   DOI
23 Choi, Y.S., K.Y., Kim, and M.P. Shim. 2009. Development of Distributed Rainfall-Runoff Modelling System Intergrated with GIS. Journal of the Korean Association of Geographic Information Studies. 12(3):76-87
24 Baik, J.J., J.M., Park, D.R., Rye, and M.H., Choi. 2016. Geospatial blending to improve spatial mapping of precipitation with high spatial resolution by merging satellite based and ground-based data. Journal of Hydrological Processes. 30(16):2789-2803.   DOI
25 Berndt, C., E., Rabiei, and U., Haberlandt. 2014. Geostatistical merging of rain gauge and radar data for high temporal resolutions and various station density scenarios. Journal of Hydrology. 508:88-101.   DOI
26 Cheema, M.J.M., and W.G.M., Bastiaanssen. 2012. Local calibration of remotely sensed rainfall from the TRMM satellite for different periods and spatial scales in the Indus Basin. International Journal of Remote Sensing. 33(8):2603-2627.   DOI
27 Cho, H.R., S.H., Hwang, Y.S., Cho, and M.H., Choi. 2013. Analysis of Spatial Precipitation Field Using Downscaling on the Korean Peninsula. Journal of the Korea Water Resources Association. 46(11):1129-1140   DOI
28 Choi, H.J., K.Y., Han, and G.S., Kim. 2006. Rainfall Forecasting Using Satellite Information and Integrated Flood Runoff and Inundation Analysis ( I ): Theory and Development of Model. Journal of Korean Society of Civil Engineers. 26(6B):597-603
29 Du, J., S., Xie, Y., Xu, C., Xu, and P.S., Vijay. 2007. Development and Testing of a Simple Physically based Distributed Rainfall-runoff Model for Storm Runoff Simulation in Humid Forested Basins. Journal of Hydrology. 336(3-4):334-346.   DOI
30 Ehret, U. 2002. Rainfall and Flood Nowcasting in Small Catchments Using Weather Radar. Ph.D. Thesis, Univ. of Stuttgart, Stuttgart, Germany.
31 Jung, C.G., J.W., Moon, and D.R., Lee. 2014. Study on Runoff Variation by Spatial Resolution of Input GIS Data by using Distributed Rainfall-Runoff Model. Journal of Korea Water Resources Association. 47(9):767-776   DOI
32 Hellweger, F.L. 1997. AGREE-DEM Surface Reconditioning System. University of Texas. Retrieved from http://www.ce.utexas.edu/prof/maidment/gishydro/ferdi/research/agree/agree.html.
33 Hong, W.Y., G.A., Park, I.K., Jeong, and S.J., Kim. 2010. Development of a Gridbased Daily Watershed Runoff Model and the Evaluation of Its Applicability. Journal of Korean Society of Civil Engineers. 30(5B):459-469
34 Jang, S.M., J.Y., Rhee, S.K., Yoon, T.H., Lee, and K.W., Park. 2017. Evaluation of GPM IMERG Applicability Using SPI based Satellite Precipitation. Journal of the Korean Society of Agricultural Engineers. 59(3):29-39   DOI
35 Jeon, B.K., C.K., Lee, and Y.S., Kim. 2012. Evaluation of rainfall measurement capability of dual polarization radar. Journal of Korean Society of Hazard Mitigation. 12(2):215-224   DOI
36 Jung, C.G., S.J., Kim, Y.G., Lee, D.Y., Lee, and S.H., Kim. 2017. The Applicability of KIMSTORM2 for Flood Simulation Using Conditional Merging Method and Radar Rain Data. Journal of Korea Society of Hazard Mitigation. 17(6):483-494   DOI
37 Jung, I.K. and S.J., Kim. 2003. Comparison of DEM Preprocessing Method for Efficient Watershed and Stream Network Extraction. Journal of Korean Society of Civil Engineers. 23(3D):393-400
38 Jung, I.K., M.S., Lee, J.Y., Park, and S.J., Kim. 2008. A Modified Grid-based KIneMatic Wave STOrm Runoff Model (ModKIMSTORM) ( I ): theory and model. Journal of Korean Society of Civil Engineers. 28(6B):697-707