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Student Number 90342004
Author Dong-Sin Shih(¥Û´ÉøÊ)
Author's Email Address No Public.
Statistics This thesis had been viewed 2198 times. Download 905 times.
Department Civil Engineering
Year 2005
Semester 1
Degree Ph.D.
Type of Document Doctoral Dissertation
Language zh-TW.Big5 Chinese
Title Rainfall-Runoff Simulations Using Distributed Watershed Models with High-Resolution Precipitation
Date of Defense 2006-01-11
Page Count 140
  • distributed-parameter model
  • groundwater flow
  • High-resolution precipitation
  • radar-rainfall estimates
  • surface flow
  • Abstract Hydrological hazards often occur in conjunction with extreme precipitation events in Taiwan. The exceptional volume and intensity of the precipitation cause frequent torrential floods, sometimes with devastating effects on life and property. To improve our understanding of extreme events, the study modeled the rainfall-runoff processes using distributed watershed models with high-resolution precipitation input.
    Precipitation data is generally collected from rain gauge stations. However, each measurement represents only the amount of rainfall at that particular spot, not precipitation in the surrounding area. Radar approaches are considered to offer a good spatial description of precipitation, but hardly predict precipitation quantities with acceptable accuracy. High resolution radar-rainfall estimates are compared with ground observations for an extreme precipitation event. The Taipei City area and the Shihmen reservoir watershed were chosen as the study sites, and the passage of Typhoon Nari (2001) through these areas was taken as the case study event. It was concluded that radar reflectivity from the Wufenshan radar station can be helpful for identifying precipitation variations during the passage of a land falling tropical cyclone. Spots with extreme rainfall can be identified when radar approaches are performed, but not based on gauge approaches. However, compared to the gauge approaches to the radar-rainfall estimates over the investigated domain tended to be overestimated. The divergence between radar-rainfall and gauge-rainfall can be identified via sub watershed investigations.
    The watershed model with high resolution precipitation data was tested on a complex mountainous reservoir region, the Shihmen reservoir watershed. Radar-rainfall estimates were examined on this study. Numerical results generally revealed acceptable agreement between the observed and simulated reservoir stage hydrographs. The model calibration processes verified that the proposed model was effective for flood routing in the Shihmen reservoir watershed. Moreover, simulated results obtained using a grid size equal to 160m by 160m had the strongest agreement between simulated and measured data, and resulted in an execution time reduction of 40% than that of the case with 120m by 120m. Case study showed that inverse-distance weighting method carried the smallest error in estimation compared to all other spatial precipitation interpretations. The ratio approach produced the smallest residual error in simulation results among all other radar approaches. Precipitation is identified to be the main factor forcing model result.
    A physical based distributed-parameter model combining surface runoff and groundwater flow is developed for investigating hydrological processes. Surface runoff is composed of both overland flow and river flow components, and the groundwater module considers the unsaturated zone and saturated zone in an unconfined aquifer system. An investigation of hydrological processes, including precipitation, infiltration, evaporation, percolation, surface runoff and groundwater flow are all considered in the proposed simulation model. Comparative analysis shows that the gradient method is superior to the GIS approach for describing the flow above riverbed. This study suggests using the Thiessen polygon method for precipitation interpolation. The best calibrations are obtained at a spatial resolution of 160m by 160m, when the simulated time step is less than five seconds. The proposed model shows good potential for storm based simulations, recession period description and long-term modeling. Therefore, the proposed model is confirmed to be suitable for mountainous watershed, such as Shihmen reservoir watershed.
    Table of Content TABLE OF CONTENTS
    ¤¤¤åºK­n I
    ­PÁÂ V
    1.1. Motivation 1-1
    1.2. Literature reviews 1-3
    1.2.1. Radar-rainfall estimates 1-3
    1.2.2. Distributed-parameter models 1-5
    1.2.3. Watershed models 1-7
    1.3. Objectives and overall structure 1-8
    2.1. Study areas 2-1
    2.2. Selected land falling typhoons 2-2
    2.3. Digital terrain model and land use 2-2
    2.4. Error Evaluation 2-3
    3.1. Precipitation inputs 3-1
    3.1.1. Interpolation using rain gauges 3-2
    3.1.2. Radar-rainfall estimates 3-3
    3.1.3. Radar-gauge combinations 3-5
    3.2. Discussion 3-6
    3.2.1. Tracing spatial precipitation movements by the radar approach 3-6
    3.2.2. Temporal variations of radar-rainfall estimates 3-7
    3.2.3. Radar-rainfall spatial variations 3-8
    3.2.4. Radar-rainfall amounts 3-10
    3.3. Summary 3-13
    4.1. Two-dimensional diffusive overland flow model. 4-1
    4.1.1. Governing Equations. 4-2
    4.1.2. Numerical approach 4-3
    4.1.3. Infiltration model 4-4
    4.2. Model calibrations 4-5
    4.3. Sensitivity analysis 4-6
    4.4. Case study 4-9
    4.5. Summary 4-10
    5.1. Model development 5-1
    5.1.1. Surface flow 5-2 Channel flow 5-2 Overland flow 5-4
    5.1.2. Groundwater model 5-6 Unsaturated groundwater module 5-6 Saturated groundwater module 5-7
    5.1.3. Model linkage 5-8 Simulation procedure for the surface flow 5-8 Simulation procedure for the groundwater module 5-9 Module combination 5-9
    5.2. Model configurations setup 5-10
    5.2.1. Study area 5-10
    5.2.2. Reservoir boundary determination 5-11
    5.2.3. Precipitation input 5-11
    5.2.4. Channel flow setup 5-13
    5.2.5. Temporal resolution 5-14
    5.2.6. Spatial resolution 5-15
    5.3. Model calibrations 5-16
    5.3.1. Calibration of the Manning¡¦s roughness coefficient for the channel (nc) 5-16
    5.3.2. Calibration of the Manning¡¦s roughness coefficient for surface land (n(j,k)) 5-17
    5.3.3. Calibration of the wetting front soil suction head ( ) 5-18
    5.3.4. Calibration of the equilibrium capacity (fc) 5-19
    5.3.5. Calibration of the constant decay rate (k) 5-19
    5.3.6. Calibration of the thickness of the riverbed mud (mt) 5-20
    5.4. Case study 5-20
    5.4.1. Storm based simulation 5-21
    5.4.2. Recession period simulations 5-22
    5.4.3. Long-term simulations 5-23
    5.5. Summary 5-24

    Fig. 2-1.Study site (Shihmen reservoir watershed and Taipei City).2-7
    Fig. 3-1.Rain gauge locations in the study site (Shihmen reservoir watershed and Taipei City). 3-16
    Fig. 3-2.Radar reflectivity in north Taiwan from 09/16/2000 to 09/17/0130. 3-17
    Fig. 3-3.Radar reflectivity in North Taiwan from 09/17/1300 to 09/17/1830. 3-18
    Fig. 3-4.Hourly radar-rainfall estimates and gauge observations for the Taipei City from 09/16/2000 to 09/17/1200. 3-19
    Fig. 3-5.Hourly radar-rainfall estimates and gauge observations for the Shihmen reservoir watershed from 09/16/2000 to 09/17/2000. 3-20
    Fig. 3-6.Regional precipitation estimated from gauge-rainfall between 09/17/0000 to 09/17/0100: (a) Thiessen polygon method, (b) Inverse-distance weighting method (first-order), (c) Inverse-distance weighting method (second-order), (d) Kriging method. 3-21
    Fig. 3-7.Regional radar-rainfall between 09/17/0000 to 09/17/0100: (a) Linear regression, (b) Quadratic regression, (c) Ratio, (d) Objective analysis. 3-22
    Fig. 3-8.Subwatersheds in the Shihmen reservoir watershed and the gauge measured flow. 3-23
    Fig. 3-9.Accumulation of precipitation and discharge in sub watersheds of the Shihmen reservoir watershed in 2001. 3-24
    Fig. 4-1Simulated results for model calibration. 4-19
    Fig. 4-2Simulated reservoir stage for the case study (gauge interpolation approaches). 4-20
    Fig. 4-3Simulated reservoir stage for the case study (radar-rainfall estimates). 4-21
    Fig. 5-1.Model construction. 5-36
    Fig. 5-2.River basin in the Shihmen reservoir watershed. 5-37
    Fig. 5-3.Computational results for rating curve and simulations. 5-37
    Fig. 5-4.Simulated inflows for the various precipitation methods. 5-38
    Fig. 5-5.Simulated inflows for the various riverbed methods. 5-38
    Fig. 5-6.Simulated inflows for the various computational time steps. 5-39
    Fig. 5-7.Simulated inflows for the various spatial resolutions. 5-39
    Fig. 5-8.Simulated inflows for the various Manning¡¦s N (rivers). 5-40
    Fig. 5-9.Simulated inflows for the various Manning¡¦s N (forests). 5-40
    Fig. 5-10.Simulated inflows for the various wetting front suction heads ( ).
    Fig. 5-11.Simulated inflows for the various equilibrium infiltration capacities ( ).
    Fig. 5-12.Simulated inflows for the various infiltration decay parameters ( ).
    Fig. 5-13.Simulated inflows for the various mud thicknesses ( ).
    Fig. 5-14.Storm based simulation (Typhoon Wayne). 5-43
    Fig. 5-15.Storm based simulation (Typhoon Nari). 5-43
    Fig. 5-16.Recession simulation (Typhoon Wayne). 5-44
    Fig. 5-17.Recession simulation (Typhoon Nari). 5-44
    Fig. 5-18.Long-term simulation (1994/07/09~1994/08/09). 5-45

    Table 2-1.Precipitation events. 2-5
    Table 2-2.Shihmen reservoir watershed (763km2) land use. 2-6
    Table 3-1.Precipitation accumulations in the Shihmen reservoir watershed estimated with the various approaches from 09/16/2000 to 09/17/2000. 3-14
    Table 3-2.Precipitation and discharge accumulations in the sub watersheds of the Shihmen reservoir watershed in 2001. 3-14
    Table 3-3.Precipitation accumulations based on various approaches for the sub watersheds of the Shihmen reservoir watershed from 09/16/2000 to 09/17/2000. 3-15
    Table 4-1.List of simulated typhoon events. 4-12
    Table 4-2.Shihmen reservoir watershed (763km2) land use. 4-13
    Table 4-3.Residual statistics for model calibrations. 4-14
    Table 4-4.Simulated results obtained by a 120m by 120m resolution with variable Manning¡¦s roughness coefficient for the forested land use and initial infiltration capacity. 4-15
    Table 4-5.Simulated results obtained with a 120m by 120m resolution with variable infiltration decay parameter. 4-15
    Table 4-6.Simulated results obtained with a 160m by 160m resolution with variable Manning¡¦s roughness coefficient for the forested land use and initial infiltration capacity. 4-16
    Table 4-7.Simulated results obtained with a 160m by 160m resolution with variable constant infiltration decay parameter. 4-16
    Table 4-8.Simulated results obtained with a 240m by 240m resolution with variable Manning¡¦s roughness coefficient for the forested land use and initial infiltration capacity. 4-17
    Table 4-9.Simulated results obtained with a 240m by 240m resolution with variable constant infiltration decay parameter. 4-17
    Table 4-10.Comparative simulated results for various spatial resolutions. 4-18
    Table 4-11.Residual errors obtained with variable precipitation algorithms. 4-18
    Table 5-1.Precipitation events. 5-27
    Table 5-2.Shihmen reservoir watershed (763km2) land use. 5-27
    Table 5-3.Errors in peak flow obtained with variable precipitation algorithms. 5-28
    Table 5-4.Stream length and average gradient. 5-28
    Table 5-5.Errors in peak obtained with various riverbed generations. 5-29
    Table 5-6.Errors in peak flow obtained with a variable computational time step. 5-29
    Table 5-7.Residual errors obtained with a variable spatial resolution. 5-30
    Table 5-8.Residual errors obtained with variable Manning¡¦s roughness (rivers). 5-30
    Table 5-9.Residual errors obtained with variable Manning¡¦s roughness (forest). 5-31
    Table 5-10.Wetting front soil suction head. 5-31
    Table 5-11.Residual errors obtained with variable wetting front soil suction head. 5-32
    Table 5-12.Equilibrium infiltration rate. 5-32
    Table 5-13.Residual errors obtained with variable equilibrium infiltration capacity. 5-33
    Table 5-14.Residual errors obtained with variable infiltration decay parameters. 5-33
    Table 5-15.Simulation of thickness of riverbed mud. 5-34
    Table 5-16.Case study (Typhoon Wayne). 5-34
    Table 5-17.Case study (Typhoon Nari). 5-35
    Table 5-18.Recession and long-term simulations. 5-35
    Reference 1.Akan, A. O., and Yen, B. C. (1981). ¡§Diffusion-wave flood routing in channel networks.¡¨ Journal of Hydraulics Division, ASCE, 107(6), 719-732.
    2.Austin, PM. (1987). ¡§Relation between measured radar reflectivity and surface rainfall.¡¨ Monthly Weather Rev., 115, 1053-1070
    3.Battan, L. J. (1973). ¡§Radar observation of the atmosphere.¡¨ University of Chicago press, 323.
    4.Bedient, P. B., and Huber, W. C. (2002). ¡§Hydrology and Floodplain Analysis, 3rd Ed.¡¨ Prentice Hall, Upper Saddle River, NJ.
    5.Bent, A. E. (1943). ¡§Radar echoes from atmospheric phenomena.¡¨ MIT radiation laboratory rep. 173, pp.10.
    6.Bradley, S. G.., Dirks, K. N., and Stow, C. D. (1998). ¡§High-resolution studies of precipitation on Norfolk Island Part ¢»: A model for precipitation redistribution.¡¨ Journal of Hydrology, 208(3-4). 194-203.
    7.Brandes, E. A. (1974). ¡§Optimizing rainfall estimates with the aid of radar.¡¨ Journal of Applied Meteorology, 14, 1339-1345.
    8.Brandes, E. A., Vivekanandan, J. and Wilson, J.W. (1999). ¡§A comparison of radar reflectivity estimates of rainfall from collocated radars.¡¨ Journal of Atmospheric and Oceanic Technology, 16, 1264-1272.
    9.Bruneau, P., Gascuelodoux, C., Robin, P., Merot, P., and Bevin, K. (1995). ¡§Sensitivity to space and time resolution of hydrological model using digital elevation data.¡¨ Hydrological Processes, 9(1), 69-81.
    10.Chang, W. Y. (2002). ¡§Analyzing the raindrop size distribution by distrometer -using Typhoon Nari for a case study-.¡¨ Masters Thesis, Department of Atmospheric Sciences, National Central University, Taiwan. (in Chinese)
    11.Chow, V. T., Maidment, D. R., Mays, L. W. (1998). ¡§Applied hydrology.¡¨ The McGraw-Hill Publishing Company Limited, Singapore.
    12.Dirks, K. N., Hay, J. E., Stow, C. D., and Harris, D. (1998). ¡§High-resolution studies of rainfall on Norfolk Island Part ¢º: Interpolation of rainfall data.¡¨ Journal of Hydrology, 208(3), 187-193.
    13.Dolcine, L., Andrieu, H., Sempere-Torres, D., and Creutin, D., (2001). ¡§Flash flood forecasting with coupled precipitation model in mountainous mediterranean basin.¡¨ Journal of Hydrologic Engineering, ASCE, 6(1), 1-10.
    14.Dutta, D., Herath, S., and Musiake, K. (2000). ¡§Flood inundation simulation in river basin using a physically based distributed hydrological model.¡¨ Hydrological Processes, 14(3), 497-519.
    15.Feldman, A. D. (1981). ¡§HEC models for water resources system simulation: theory and experience.¡¨ Advances in Hydrosciences, 12, 297-423.
    16.Fennema, R. J., Neidrauer, C. J., Johnson, R. A., MacVictor, T. K., and Perkins, W. A. (1994). ¡§A computer model to simulate natural everglades hydrology.¡¨ In: Davis, S.M., Ogden, J.C. (Eds.), Everglades, the Ecosystem and its Restoration, St. Lucie Press, 249¡V289.
    17.Fread, D. L., and Lewis, J. M. (1988). ¡§FLDWAV: A generalized flood routing model.¡¨ Hydraulic Engineering, Proceedings of 1988 Conference, HY Div, ASCE, Colorado Springs, CO, 668-673.
    18.Fulton, R. A., Breidenbach, Seo, D-J. Miller, D. A. and O'Bannon, T. (1998). ¡§The WSR-88D rainfall algorithm.¡¨ Weather and Forecasting, 13, 377-395.
    19.Garbrecht, J., Ogden, F. L., DeBarry, P. A., and Maidment, D. R. (2001). ¡§GIS and distributed watershed models.¢¹: data coverages and sources.¡¨ Journal of Hydrologic Engineering, ASCE, 6, 506-514.
    20.Horritt, M. S., and Bates, P. D. (2001). ¡§Effects of spatial resolution on a raster based of flood flow.¡¨ Journal of Hydrology, 253, 239-249.
    21.Hromadka II, T. V., and Lai, C. (1985). ¡§Solving the two-dimensional diffusion flow model.¡¨ Proc. Spec. Conf., sponsed by the Hydr. Div. of ASCE, Lake Buena Vista, Fla.
    22.Hromadka II, T. V., and Yen, C. L. (1986). ¡§A diffusion hydrodynamic model (DHM).¡¨ Adv. Water Resources, 9, 118-169.
    23.Hsu, M. H. (1992). ¡§Simulation of inundation with overflow on levee along Keelung River.¡¨ Urban Storm Drainage, Proceedings of the CCNAA-AIT Joint Seminar on Prediction and Damage Mitigation on Meteorological Induced National Disasters, Taiwan, 353-363. 
    24.Hsu, M. H., Chen, S. H., and Chang, T. J. (2000). ¡§Inundation simulation for urban drainage basin with storm sewer system.¡¨ Journal of Hydrology, 234, 21-37.
    25.Hsu, M. H., Lai, J. S., and Yen, C. L. (1990). ¡§Two-dimensional inundation model for Taipei city.¡¨ Proceedings of Fifth International Conference on Urban Storm Drainage, Osaka, Japan, 169-174.
    26.Hsu, S. H., and Sung, Y. D. (1987). ¡§Estimating evaporation rate from the meteorological data.¡¨ Journal of Chinese Soil and Water Conservation, 18(2), 83-89.
    27.Huber, W. C., and Dickinson, R. E. (1988). ¡§Storm Water Management Model.¡¨ User¡¦s Manual Ver. ¢¼, US Environmental Protection Agency. 
    28.Huang, C. Y. (2002). ¡§On the sustainable indicators of major reservoir watersheds in Taiwan.¡¨ Thesis for Master of Science, Department of Civil Engineering, National Central University, Taiwan. 121 pp. (in Chinese)
    29.Jasper, K., Gurtz, J., and Lang, H. (2002). ¡§Advanced flood forecasting in Alpine watersheds by coupling meteorological observations and forecasts with a distributed hydrological model.¡¨ Journal of Hydrology, 267, 40-52.
    30.Jayatilaka, C. J., Storm, B., and Mudgway, L. B. (1998). ¡§Simulation of water flow on irrigation bay scale with MIKE-SHE.¡¨ Journal of Hydrology, 208, 108-130.
    31.Jia, Y., Ni, G., Yoshitani, J., Kawahara, Y., and Kinouchi, T. (2002). ¡§Coupling simulation of water and energy budgets and analysis of urban development impact.¡¨ Journal of Hydrologic Engineering, ASCE, 7, 302-311.
    32.Jian, M. Y. (1999). ¡§Flood and Inundation Model for Yen-Shui Creek Basin.¡¨ Thesis for Master of Science, Institute of Agricultural Engineering, National Taiwan University, Taiwan. 80 pp. (in Chinese)
    33.Joss, J. K., Thomas J. C., and Waldvogel, A. (1968). ¡§The accuracy of daily rainfall measurement by radar.¡¨ Preprints, 13th Radar Meteorology Conf., Montreal, Amer. Meteor. Soc., 448-451.
    34.Koussis, A. D., Lanouvardos, K., Mazi, K., Kotroni, V., Sitzmann, D., Lang, J., Zaiss, H., Buzzi, A., and Malguzzi, P. (2003). ¡§Flood forecasts for urban basin with integrated hydro-meteorological model.¡¨ Journal of Hydrologic Engineering, ASCE, 8(1), 1-11.
    35.Larson, L. W., and Peck, E. L. (1974). ¡§Accuracy of precipitation measurements for hydrological modeling.¡¨ Water Resources Research, 10(4), 857¡V863.
    36.Leavesley, G. H., Lichty, R. W., Troutman, B. M., and Saindon, L. G. (1983). ¡§Precipitation-runoff modeling system.¡¨ User's Manual. U.S. Geological Survey Water Resources Investigations Report 83-4238, 207 pp.
    37.Leconte, R., and Brissette, F. P. (2001). ¡§Soil moisture profile model for two-layer soil based on sharp wetting front approach.¡¨ Journal of Hydrologic Engineering, ASCE, 6(2), 141-149.
    38.Linacre, E. T. (1963). ¡§Determining evapotranspiration rates.¡¨ Journal of the Australian Institute of Agricultural Science, 29 (3). 165 - 167.
    39.Marshall, J. M., and Palmer, W. McK. (1948). ¡§The distribution of raindrops with size.¡¨ Journal of Meteorology, 5, 165-166.
    40.Marshall, J. S., Langille, R. C., and Palmer, W. Mck. (1947). ¡§Measurement of rainfall by radar.¡¨ Journal of Meteorology, 4, 186-192.
    41.Martz, L. W., and Garbrecht, J. (1995). ¡§Automated recognition of valley lines and drainage networks from grid digital elevation models: a review and a new method.¡¨ Journal of Hydrology, 167(4), 393-396.
    42.Martz, L. W., and Garbrecht, J. (1998). ¡§The treatment of flat areas and depressions in automated drainage analysis of raster digital elevation models.¡¨ Hydrological Processes, 12, 843-855.
    43.Mie, G. (1908). ¡§Beitrage zur optik truber medien, speziel kolloidaler metallosungen ¡V Contribution to the optics of suspended media, specifically colloidal metal suspensions.¡¨ Ann. Phys., 25, 377-455.
    44.Moglen, G. E., and Hartman, G. L. (2001). ¡§Resolution effects on hydrologic modeling parameters and peak discharge.¡¨ Journal of Hydrologic Engineering, ASCE, 6, 490-497.
    45.Molnár, D. K., and Julien, P. Y. (2000). ¡§Grid-size effects on surface runoff modeling.¡¨ Journal of Hydrologic Engineering, ASCE, 5, 9-16.
    46.Montgomery, D., and Zhang, W. (1994). ¡§Digital elevation model grid size, landscape representation and hydrologic simulation.¡¨ Water Resources Research, 30(4), 1019-1028.
    47.Nu, C. C. (2004). ¡§Numerical Simulations of Coupled Surface Water and Subsurface Water at Basin Scale.¡¨ Thesis for Master of Science, Department of Civil Engineering, National Central University, Taiwan. 166 pp. (in Chinese)
    48.O¡¦Callaghan, J. G., and Mark, D.M. (1984). ¡§The extraction of drainage networks from digital elevation data.¡¨ Computer Vision, Graphic and Image Processing, 28, 323-344.
    49.Ogden, F. L., Garbrecht, J., DeBarry, P. A., and Johnson, L. E. (2001). ¡§GIS and distributed watershed models.¢º: modules, interfaces, and models.¡¨ Journal of Hydrologic Engineering, ASCE, 6, 515-523.
    50.Quinn, PF., Beven, K., Chevallier, P., and Planchon, O. (1991). ¡§The prediction of hillslope flow paths for distributed hydrological modeling using digital terrain model.¡¨ Hydrological Processes, 5, 59-79.
    51.Rayleigh, Lord. (1871). ¡§On the scattering of light by small particles.¡¨ Phil. Mag., 41, 447-452.
    52.Sevruk, B. (1982). ¡§Method of correction for systematic error in point precipitation measurement for operational use.¡¨ WMO 589, World Meteorology. Organ., Geneva, 91 pp.
    53.Sevruk, B. (1989). ¡§Reliability of precipitation measurement, in proceedings of international workshop on precipitation measurement, edited by B. Sevruk.¡¨ World Meteorology Organ., Geneva, 13-19.
    54.Stow, C. D., and Dirks, K. N. (1998). ¡§High-resolution studies of rainfall on Norfolk Island Part ¢¹: The spatial variability of rainfall.¡¨ Journal of Hydrology, 208(3), 163-186.
    55.Stow, C. D. (2002). ¡§High-resolution studies of precipitation on Norfolk Island Part ¢¼: Observations of fractional time raining.¡¨ Journal of Hydrology, 263(3), 156-176.
    56.Stout, G. E., and Neill, J. C. (1953). ¡§Utility of radar in measuring intensity by radar.¡¨ Bull. Amer. Meteor. Soc., 34, 21-27.
    57.Subramanya, K. (1997). ¡§FLOW in OPEN CHANNELS, 2nd Ed.¡¨ The McGraw-Hill Publishing Company Limited, New Delhi.
    58.Sun, H., Cornish, P. S., and Daniell, T. M. (2002). ¡§Spatial variability in hydrologic modeling using rainfall-runoff model and digital elevation model.¡¨ Journal of Hydrologic Engineering, ASCE, 7, 404-412.
    59.Tayfur, G., Kavvas, M. L., Govindaraju, R. S., and Storm, D. E. (1993). ¡§Applicability of St. Venant equations for two-dimensional overland flows over rough infiltrating surface.¡¨ Journal of Hydraulic Engineering, ASCE, 119(1), 51¡V63.
    60.Thieken, A. H., Lucke, A., Diekkruger, B., and Richter, O. (1999). ¡§Scaling input data by GIS for hydrological modeling.¡¨ Hydrological Processes, 13(4), 611-630.
    61.Thissen, A. H. (1911). ¡§Precipitation averages for large areas.¡¨ Monthly Weather Rev., 39(7), 1082-1084.
    62.Viessman, W., and Lewis. G. L. (2003). ¡§Introduction to hydrology (6th edition).¡¨ USA: Prentice Hall, 181-194.
    63.Vieux, B.E. (1993). ¡§DEM aggregation and smoothing effects on surface runoff modeling.¡¨ Journal of Computing in Civil Engineering, ASCE, 7(3), 310-338.
    64.Wasantha Lal, A. M. (1998). ¡§Performance comparison of overland flow algorithms.¡¨ Journal of Hydraulic Engineering, ASCE, 124(4), 342-349.
    65.Wilson, J., and Brandes, E. (1979). ¡§Radar measurement of rainfall¡XA summary.¡¨ Bull. Amer. Meteor. Soc., 60, 1048-1058.
    66.Wolock, D. M., and McCabe, G. J. Jr. (1995). ¡§Comparison of single and multiple flow direction algorithm for computing topographic parameter in TOPMODEL.¡¨ Water Resources Research, 31(5), 1315-1324.
    67.Woodley, W. L., Olsen, A. R., Herndon, A., and Wiggert, V. (1975). ¡§Comparison of gage and radar methods of convective rain measurement.¡¨ Journal of Applied Meteorology, 14, 909-928.
    68.Wu, R. S., and Shih D. S. (2003). ¡§The extreme precipitation event and return period in Taiwan ¡V As Typhoon Nari for case study ¡V.¡¨ Journal of the Chinese Institute of Civil and Hydraulic Engineering, 15(4), 747-758. (in Chinese)
    69.Wu, T. H. (2002). ¡§D-S-R (Driving force-State-Response) framework that developed by the United Nations¡]UN¡^to establish the system of the Shihmen Reservoir and rivers in the catchment area.¡¨ Thesis for Master of Science, Department of Civil Engineering, National Central University, Taiwan. 89 pp. (in Chinese)
    70.Yang, C. T. (2003). ¡§The Application of Radar Echo on Estimating the Spatial Distribution and Amount of Rainfall during Typhoon¡X A case study of Typhoon Nari.¡¨ Thesis for Master of Science, Institute of Hydrologic Sciences, National Central University, Taiwan. 105 pp. (in Chinese)
    71.Yen, C L., Hsu, M. S., and Lai, J. S. (1989). ¡§Two-dimensional unsteady flow simulation in flow plain ¡V a comparison between ADE and SES methods.¡¨ Proceedings of the Computer Applications in Civil and Hydraulic Engineering, Taipei, 1-18.
    72.Zawadzki, I. (1975). ¡§On radar¡Vraingage comparison.¡¨ Journal of Applied Meteorology, 14, 1430¡V1436
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