Abstract
The hydrological processes are controlled by many factors such as topography, soil, climate and land management practices. These factors have been included in most hydrological models. This study develops a raster-based distributed hydrological model for catchment runoff simulation integrating flood polders regulation. The overland flow and channel flow are calculated by kinematic wave equations. A simple bucket method is used for outflow estimation of polders. The model was applied to Xitiaoxi catchment of Taihu Lake Basin. The accuracy of the model was satisfactory with Nash–Sutcliffe efficiencies of 0.82 during calibration period and 0.85 for validation at Hengtangcun station. The results at Fanjiacun station are slightly worse due to the tidal influence of Taihu Lake with high values of root mean square errors. A model sensitivity analysis has shown that the ratio of potential evapotranspiration to pan evaporation (K), the outflow coefficients of the freewater storage to groundwater (KG) and interflow (KSS) and the areal mean tension water capacity (WM) were the most sensitive parameters. The simulation results indicate that the polder systems could reduce the flood peaks. Additionally, it was confirmed that the proposed polders operation method improved the accuracy of discharge simulation slightly.
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Abbott MB, Bathurst JC, Cunge JA, O’Connell PE, Rasmussen J (1986) An introduction to the European Hydrological System-Systeme Hydrologique European, “SHE”, 2, Structure of a physically-based, distributed modeling system. J Hydrol 87:61–77
Arnold JG, Fohrer N (2005) SWAT2000: current capabilities and research opportunities in applied watershed modelling. Hydrol Process 19:563–572
Bates PD, De Roo APJ (2000) A simple raster-based model for flood inundation simulation. J Hydrol 236:54–77
Bates PD, Lane SN, Ferguson RI (2005) Computational fluid dynamics: applications in envrionmental hydraulics. Wiley, Chichester
Bergström S (1976) Development and application of a conceptual runoff model for Scandinavian catchments. Department of Water Resources Engineering, Lund Institute of Technology, Bulletin Series A-52, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Beven KJ (2001) Rainfall-runoff modeling: a primer. Wiley, West Sussex, pp 217–254
Beven KJ, Kirkby MJ (1979) A physically based variable contributing area model of basin hydrology. Hydrol Sci J 24:43–69
Chen X, Chen YD, Xu CY (2007) A distributed monthly hydrological model for integerating spatial variations of basin topography and rainfall. Hydrol Process 21:42–252
Ciarapica L, Todini E (2002) TOPKAPI: a model for the representation of the rainfall-runoff process at different scales. Hydrol Process 16:207–229
Chow VT, Maidment DR, Larry WM (1988) Applied hydrology. McGraw-Hill, New York, p 627
De Roo APJ (2003) The simulation of two polders for flood protection in the German part of the Oder catchment. European Communities, EUR 20739 EN, Joint Research Centre, Ispra, Italy
De Roo APJ, Offermans RJE, Cremers NHDT (1996) LISEM: a single event physically-based hydrologic and soil erosion model for drainage Basins. II: sensitivity analysis, validation and application. Hydrol Process 10:1118–1127
De Roo APJ, Wesseling CG, Van Deursen WPA (2000) Physically-based river basin modelling within a GIS: the LISFLOOD model. Hydrol Process 14:1981–1992
Du JK, Xie SP, Xu YP, Xu CY, Singh VP (2007) Development and testing of a simple physically-based distributed rainfall-runoff model for storm runoff simulation in humid forested basins. J Hydrol 336:334–346
Eagleson PS (1970) Dynamic hydrology. McGraw Hill, New York
Fohrer N, Haverkamp S, Frede HG (2005) Assessment of the effects of land use patterns on hydrologic landscape functions: development of sustainable land use concepts for low mountain range areas. Hydrol Process 19:659–672
Förster S, Kuhlmann B, Lindenschmidt KE, Bronstert A (2008) Assessing flood risk for a rural detention area. Nat Hazards Earth Syst Sci 8:311–322
Hessel R, Jetten V, Liu BY, Zhang Y, Stolte J (2003) Calibration of the LISEM model for a small loess Plateau catchment. Catena 54:235–254
Hesselink AW, Stelling GS, Kwadijk JCJ, Middelkoop H (2003) Inundation of a Dutch river polder, sensitivity analysis of a physically based inundation model using historic data. Water Resour Res 39(9):1234
Huang S, Rauberg J, Apel H, Lindenschmidt KE (2007) The effectiveness of polder systems on peak discharge capping of floods along the middle reaches of the Elbe River in Germany. Hydrol Earth Syst Sci 11:1391–1401
Koren V, Reed S, Smith M, Zhang Z (2003) “Combining physically based and conceptual approaches in the development and parameterization of a distributed system.” Information from Weather Radar and Distributed Hydrological Modelling (Proceedings of symposium HS03 held during IUGG2003 at Sapporo, Japan, July 2003) IAHS publication, No. 282, 101–108
Lenhart T, Eckhardt K, Fohrer N, Frede HG (2002) Comparison of two different approaches of sensitivity analysis. Phys Chem Earth 27:645–654
Li ZJ, Ge WZ, Liu JT, Zhao K (2004) Coupling between weather radar rainfall data and a distributed hydrological model for real-time flood forecasting. Hydrol Sci J 49:945–958
Liu ZY, Martina MLV, Todini E (2005) Flood forecasting using a fully distributed model: application of the TOPKAPI model to the Upper Xixian Catchment. Hydrol Earth Syst Sci 9(4):347–364
Liu JT, Chen X, Zhang JB, Flury M (2009) Coupling the Xinanjiang model to a kinematic flow model based on digital drainage networks for flood forecasting. Hydrol process 23:1337–1348
Lu GH, Wu ZY, Wen L, Lin CA, Zhang JY, Yang Y (2008) Real-time flood forecast and flood alert map over the Huaihe River Basin in China using a coupled hydro-meteorological modeling system. Sci China Ser, E-Technol Sci 51:1049–1063
Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models, part I: A discussion of principles. J Hydrol 10(3):282–290
Neitsch SL, Arnold JG, Kiniry JR, Williams JR, King KW (2002) Soil and Water Assessment Tool Theoretical Documentation. Version 2000. Texas Water Resources Institute, College Station, Texas. TWRI Report, TR-191
Pullar D, Springer D (2000) Towards integrating GIS and catchment models. Environ Model Softw 15:451–459
Robinson JS, Sivapalan M (1995) Catchment-scale runoff generation model by aggregation and similarity analysis. In: Kalma JD, Sivapalan M (eds) Scale issues in hydrological modeling. Wiley, New York, pp 311–330
Schuol J, Abbaspour KC, Srinivasan R, Yang H (2008) Estimation of freshwater availability in the West African sub-continent using the SWAT hydrologic model. J Hydrol 352(1–2):30–49
Sheikh V, Visser S, Stroosnijder L (2009) A simple model to predict soil moisture: Briding Event and Continuous Hydrological (BEACH) modelling. Environ Model Softw 24:542–556
Singh VP, Woolhiser DA (1996) A nonlinear kinematic wave model for watershed surface runoff. J Hydrol 31:221–243
Smith RE, Goodrich DC, Woolhiser DA, Unkrich CL (1995) KINEROS - A KINematic Runoff and EROSion Model. In: Singh VP (ed) Computer models of watershed hydrology. Water Resources Publications, Highlands Ranch, pp 697–732
Todini E (1996) The ARNO rainfall-runoff model. J Hydrol 175:339–382
Todini E, Ciarapica L (2001) The TOPKAPI model. In: Singh VP (ed) Mathematical models of large watershed hydrology, Chapter 12. Water Resources Publications, Highlands Ranch
Uhlenbrook S, Roser S, Tilch N (2004) Hydrological process representation at the meso-scale: the potential of a distributed, conceptual catchment model. J Hydrol 291:278–296
Van der Knijff J, De Roo APJ (2008) LISFLOOD Distributed water balance and flood simulation model, Revised user manual, Office for Official Publications of the European Communities, Luxembourg, EUR 22166 EN/2
Van Deursen WPA (1995) Geographical information systems and dynamic models: development and application of a prototype spatial modelling language. Netherlands Geographic Studies, Issue 190
Wang JQ, Zhang XY, Lu ZH (2004) Digital hydrological model of Qinhuai River basin and its application. Shuili Xuebao 4:1–7. (in Chinese)
Wesseling CG, Karssenberg DJ, Burrough PA, Van Deursen WPA (1996) Integrated dynamic environmental models in GIS: the development of a dynamic modelling language. Trans GIS 1–1:40–48
Xu LG, Zhang Q, Li HP, Viney NR, Xu JT, Liu J (2007) Modeling of surface runoff in Xitiaoxi catchment, China. Water Resour Manage 21(8):1313–1323. doi:10.1007/s11269-006-9083-6
Yao C, Li ZJ, Bao HJ, Yu ZB (2009) Application of developed Grid-Xinanjiang model to Chinese watersheds for flood forecasting purpose. J Hydrol Eng. doi: 10.1061/(ASCE) HE. 1943-5584. 0000067
Zhang Q, Werner AD (2009) Integrated surface-subsurface modeling of Fuxianhu Lake catchment, southwest China. Water Resour Manage 23:2189–2204. doi:10.1007/s11269-008-9377-y
Zhao RJ (1984) Water hydrological modelling - Xinanjiang Model and Shanbei Model. China Water Resources and Hydropower Press, Beijing (in Chinese)
Zhao RJ (1992) The Xinanjiang model applied in China. J Hydrol 135:371–381
Zhao RJ, Zhuang YL, Fang LR, Liu XR, Zhang QS (1980) The Xinanjiang model. Hydrological Forecasting Proceedings Oxford Symposium. IASH 129:351–356
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Zhao, G., Hörmann, G., Fohrer, N. et al. Application of a Simple Raster-Based Hydrological Model for Streamflow Prediction in a Humid Catchment with Polder Systems. Water Resour Manage 25, 661–676 (2011). https://doi.org/10.1007/s11269-010-9719-4
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DOI: https://doi.org/10.1007/s11269-010-9719-4