![](/develop/static/imgs/pdf.png)
Parameter transferability across spatial resolutions in urban hydrological modelling: a case study in Beijing, China
Xiaoshu HOU, Lei CHEN, Xiang LIU, Miao LI, Zhenyao SHEN
Parameter transferability across spatial resolutions in urban hydrological modelling: a case study in Beijing, China
This study examined the influence of spatial resolution on model parameterization, output, and the parameter transferability between different resolutions using the Storm Water Management Model. High-resolution models, in which most subcatchments were homogeneous, and high-resolution-based low-resolution models (in 3 scenarios) were constructed for a highly urbanized catchment in Beijing. The results indicated that the parameterization and simulation results were affected by both spatial resolution and rainfall characteristics. The simulated peak inflow and total runoff volume were sensitive to the spatial resolution, but did not show a consistent tendency. High-resolution models performed very well for both calibration and validation events in terms of three indexes: 1) the Nash-Sutcliffe efficiency, 2) the peak flow error, and 3) the volume error; indication of the advantage of using these models. The parameters obtained from high-resolution models could be directly used in the low-resolution models and performed well in the simulation of heavy rain and torrential rain and in the study area where sub-area routing is insignificant. Alternatively, sub-area routing should be considered and estimated approximately. The successful scale conversion from high spatial resolution to low spatial resolution is of great significance for the hydrological simulation of ungauged large areas.
SWMM / high resolution / low resolution / rainfall characteristics / parameter transferability
[1] |
Baek S S, Choi D H, Jung J W, Lee H J, Lee H, Yoon K S, Cho K H (2015). Optimizing low impact development (LID) for stormwater runoff treatment in urban area, Korea: experimental and modeling approach. Water Res, 86: 122–131
CrossRef
Google scholar
|
[2] |
Barco J, Wong K M, Stenstrom M K (2008). Automatic calibration of the U.S. EPA SWMM model for a large urban catchment. J Hydraul Eng, 134(4): 466–474
CrossRef
Google scholar
|
[3] |
Bedient P B, Huber W C (2002). Hydrology and Flood Plain Analysis. New Jersey: Prentice-Hall
|
[4] |
Blöschl G, Sivapalan M (1995). Scale issues in hydrological modelling: a review. Hydrol Processes, 9(3–4): 251–290
CrossRef
Google scholar
|
[5] |
Borris M, Viklander M, Gustafsson A M, Marsalek J (2014). Modelling the effects of changes in rainfall event characteristics on TSS loads in urban runoff. Hydrol Processes, 28(4): 1787–1796
CrossRef
Google scholar
|
[6] |
Chen A S, Evans B, Djordjević S, Savić D A (2012). A coarse-grid approach to representing building blockage effects in 2D urban flood modelling. J Hydrol (Amst), 426–427(6): 1–16
|
[7] |
Chow M F, Yusop Z, Toriman M E (2012). Modelling runoff quantity and quality in tropical urban catchments using storm water management model. Int J Environ Sci Technol, 9(4): 737–748
CrossRef
Google scholar
|
[8] |
di Pierro F, Khu S T, Savi D (2006). From single-objective to multiple-objective multiple-rainfall events automatic calibration of urban storm water runoff models using genetic algorithms. Water Sci Technol, 54(6–7): 57–64
CrossRef
Google scholar
|
[9] |
Elliott A H, Trowsdale S A, Wadhwa S (2009). Effect of aggregation of on-site storm-water control devices in an urban catchment model. J Hydrol Eng, 14(9): 975–983
CrossRef
Google scholar
|
[10] |
Ghosh I, Hellweger F L (2012). Effects of spatial resolution in urban hydrologic simulations. J Hydrol Eng, 17(1): 129–137 doi:10.1061/(ASCE)HE.1943-5584.0000405
|
[11] |
Gooré Bi E, Monette F, Gachon P, Gaspéri J, Perrodin Y (2015). Quantitative and qualitative assessment of the impact of climate change on a combined sewer overflow and its receiving water body. Environ Sci Pollut Res Int, 22(15): 11905–11921
CrossRef
Google scholar
|
[12] |
Huber W C, Dickinson R E, Barnwell T O Jr, Branch A (1988). Storm water management model; version 4. Environmental Protection Agency, United States
|
[13] |
James W, Huber W, Dickinson R, Pitt R, Roesner L, Aldrich J (2003). User’s Guide to PCSWMM. Computational Hydraulics International: Guelph, Ontario, Canada
|
[14] |
Knighton J, White E, Lennon E, Rajan R (2014). Development of probability distributions for urban hydrologicmodel parameters and a Monte Carlo analysis of model sensitivity. Hydrol Processes, 28(19): 5131–5139
CrossRef
Google scholar
|
[15] |
Krebs G, Kokkonen T, Valtanen M, Koivusalo H, Setälä H (2013). A high resolution application of a stormwater management model (SWMM) using genetic parameter optimization. Urban Water J, 10(6): 394–410
CrossRef
Google scholar
|
[16] |
Krebs G, Kokkonen T, Valtanen M, Setälä H, Koivusalo H (2014). Spatial resolution considerations for urban hydrological modelling. J Hydrol (Amst), 512: 482–497
CrossRef
Google scholar
|
[17] |
Leandro J, Schumann A, Pfister A (2016). A step towards considering the spatial heterogeneity of urban key features in urban hydrology flood modelling. J Hydrol (Amst), 535: 356–365
CrossRef
Google scholar
|
[18] |
Liong S Y, Chan W T, Lum L H (1991). Knowledge-based system for SWMM runoff component calibration. J Water Resour Plan Manage, 117(5): 507–524
CrossRef
Google scholar
|
[19] |
Madsen H (2003). Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives. Adv Water Resour, 26(2): 205–216
CrossRef
Google scholar
|
[20] |
Melsen L, Teuling A, Torfs P, Zappa M, Mizukami N, Clark M, Uijlenhoet R (2016). Representation of spatial and temporal variability in large-domain hydrological models: case study for a mesoscale pre-alpine basin. Hydrol Earth Syst Sci Discuss, 20: 1–38
CrossRef
Google scholar
|
[21] |
Palla A, Gnecco I (2015). Hydrologic modeling of low impact development systems at the urban catchment scale. J Hydrol (Amst), 528: 361–368
CrossRef
Google scholar
|
[22] |
Park S Y, Lee K W, Park I H, Ha S R (2008). Effect of the aggregation level of surface runoff fields and sewer network for a SWMM simulation. Desalination, 226(1–3): 328–337
CrossRef
Google scholar
|
[23] |
Peel M C, Blöschl G (2011). Hydrological modelling in a changing world. Prog Phys Geogr, 35(2): 249–261
CrossRef
Google scholar
|
[24] |
Peterson E W, Wicks C M (2006). Assessing the importance of conduit geometry and physical parameters in karst systems using the storm water management model (SWMM). J Hydrol (Amst), 329(1‒2): 294–305
CrossRef
Google scholar
|
[25] |
Ritter A, Muñoz-Carpena R (2013). Performance evaluation of hydrological models: statistical significance for reducing subjectivity in goodness-of-fit assessments. J Hydrol (Amst), 480: 33–45
CrossRef
Google scholar
|
[26] |
Rosa D J, Clausen J C, Dietz M E (2015). Calibration and verification of SWMM for low impact development. J Am Water Resour Assoc, 51(3): 746–757
CrossRef
Google scholar
|
[27] |
Rossman L A (2010). Storm water management model user’s manual, version 5.0. National Risk Management Research Laboratory, Office of Research and Development, US Environmental Protection Agency
|
[28] |
Shen Z Y, Chen L, Liao Q, Liu R M, Huang Q (2013). A comprehensive study of the effect of GIS data on hydrology and non-point source pollution modeling. Agric Water Manage, 118: 93–102
CrossRef
Google scholar
|
[29] |
Shen Z, Hou X, Li W, Aini G (2014). Relating landscape characteristics to non-point source pollution in a typical urbanized watershed in the municipality of Beijing. Landsc Urban Plan, 123: 96–107
CrossRef
Google scholar
|
[30] |
Sun N, Hall M, Hong B, Zhang L (2014). Impact of SWMM catchment discretization: case study in Syracuse, New York. J Hydrol Eng, 19(1): 223–234
CrossRef
Google scholar
|
[31] |
Tian Y, Zheng Y, Wu B, Wu X, Liu L, Zheng C (2015). Modeling surface water-groundwater interaction in arid and semi-arid regions with intensive agriculture. Environ Model Softw, 63: 170–184
CrossRef
Google scholar
|
[32] |
Tsihrintzis V A, Hamid R (1998). Runoff quality prediction from small urban catchments using SWMM. Hydrol Processes, 12(2): 311–329
CrossRef
Google scholar
|
[33] |
Vaze J, Chiew F H (2003). Comparative evaluation of urban storm water quality models. Water Resour Res, 39(10): 1280
CrossRef
Google scholar
|
[34] |
Vojinovic Z, Tutulic D (2009). On the use of 1D and coupled 1D-2D modelling approaches for assessment of flood damage in urban areas. Urban Water J, 6(3): 183–199
CrossRef
Google scholar
|
[35] |
Wang K H, Altunkaynak A (2012). Comparative case study of rainfall-runoff modeling between SWMM and fuzzy logic approach. J Hydrol Eng, 17(2): 283–291
CrossRef
Google scholar
|
[36] |
Zaghloul N A (1981). SWMM model and level of discretization. J Hydraul Div, 107(11): 1535–1545
|
[37] |
Zhang Y, Vaze J, Chiew F H, Teng J, Li M (2014). Predicting hydrological signatures in ungauged catchments using spatial interpolation, index model, and rainfall-runoff modelling. J Hydrol (Amst), 517: 936–948
CrossRef
Google scholar
|
[38] |
Zhao D Q, Chen J N, Wang H Z, Tong O Y, Chao S B, Sheng Z (2009). GIS-based urban rainfall-runoff modeling using an automatic catchment-discretization approach: a case study in Macau. Environ Earth Sci, 59(2): 465–472
CrossRef
Google scholar
|
/
〈 |
|
〉 |