Sensitivity analysis of SWMM model parameters for urban runoff estimation in semi-arid area
By: Ali Moafi Rabori, Reza Ghazavi, Mohsen Ahadnejad Reveshty
Key Words: Sensitivity analysis, Calibration, Urban runoff peak and volume, SWMM, Zanjan city watershed
J. Bio. Env. Sci. 10(5), 284-294, May 2017.
Modelling of urban runoff is important for flood prevention and storm water management. For urban runoff modelling, estimate and collection of input parameters (measured and inferred) is very important, but accuracy of the results depend to the precision of the input data and calibration of the model that need to the highly detailed input data. Sensitivity analysis should indicate the parameters with greater effect on the results. In this study, sensitivity analysis of SWMM model parameters was done for urban runoff estimation in a semi-arid area located in the Northwest of Iran (Zanjan city watershed). According to results, depth of depression storage, percent of impervious area and Manning’s roughness coefficient of impervious area were the most sensitive parameters of SWMM that affect peak and volume of the runoff. The properties related to the previous surfaces such as curve number, Manning’s roughness coefficient and depth of depression storage have not a significantly effect on model outputs. The results of the goodness-of-fit test show the accuracy of the model outputs, consequently, SWMM souled propose for simulating the urban drainage systems in semi-arid area. NOF and NSC criteria indicate that the prediction errors are also well balanced. We can conclude that validated model can use for rainfall-runoff simulation in the area located in the semi-arid area.
Sensitivity analysis of SWMM model parameters for urban runoff estimation in semi-arid area
Ahilan S, Guan M, Sleigh A, Wright N, Chang H. 2016. The influence of floodplain restoration on flow and sediment dynamics in an urban river. Journal of Flood Risk Management. Online Version of Record published before inclusion in an issue.
Ahmadian M, Ahmadi H, Motamed VB, Zandi EE. 2013. Urban runoff management in order to reduce flood risks (case study: phase 2 of the new city of Hashtgerd). Journal of Biodiversity and Environmental Sciences (JBES). 3(10), 52-60.
American Society of Civil Engineering Task Committee. 1993. Criteria for evaluation of watershed models. Journal of Irrigation and Drainage Engineering 119(3), 429-442.
American Society of Civil Engineering. 1982. Gravity Sanitary Sewer Design and Construction. ASCE Manual of Practice 60, 275P.
American Society of Civil Engineering. 1992. Design and Construction of Urban Storm water Management Systems, ASCE Manual of Practice 77, 724 P.
Barco J, Kenneth MW, Michael KS, ASCE F. 2008. Automatic Calibration of the U.S. EPA SWMM Model for a Large Urban Catchment, Journal of hydraulic engineering.
Beling FA, Garcia JIB, Paiva EMCD, Bastos GAP, Paiva, JBD. 2011. Analysis of the SWMM Model Parameters for Runoff Evaluation in Periurban Basins from Southern Brazil, 12nd International Conference on Urban Drainage, Porto Alegre/Brazil.
Chaube UC, Shakti S, Lukman N, Ashish P. 2011. Synthesis of flow series of tributaries in Upper Betwa basin, International Journal of environmental sciences 1(7).
Choi K, Ball JE. 2002. Parameter estimation for urban runoff modelling, Urban Water 4, 31-41.
Chow MF, Yusop Z, Toriman ME. 2012. Modelling runoff quantity and quality in tropical urban catchments using Storm Water Management Model. International Journal of Environmental Science and Technology 9(4), 737-748.
Cibin R, Sudheer KP, Chaubey I. 2010. Sensitivity and identifiability of stream flow generation parameters of the SWAT model. Hydrological process, Hydrology. Process 24, 1133-1148.
Ghahreman B, Abkhezr H. 2004. Reformation the relations of Intensity-duration-frequency of Iran. Journal of Sciences and Technology of Agriculture and Natural Resources 8(2), 1-13.
Gironas J, Roesner LA, Davis J. 2009. Storm water management model applications manual, EPA, United States. 180 P.
Hoang L, Fenner Richard A, Skenderian M. 2016. A conceptual approach for evaluating the multiple benefits of urban flood management practices. Journal of Flood Risk Management. Online Version of Record published before inclusion in an issue.
Huber W, Dickinson R. 1992. Storm water management model, version 4: user’s manual, US Environmental Protection Agency Athens, 2nd Ed. 720 P.
Huong HTL, Pathirana A. 2013. Urbanization and climate change impacts on future urban flooding in Can Tho city, Vietnam, Hydrology and Earth System Science. 17, 379-394.
Jakeman AJ, Letcher RA, Norton JP. 2006. Ten iterative steps in development and evaluation of environmental models. Environmental Modelling & Software 21, 602-614.
Kornecki TS, Sabbagh GJ, Storm DE. 1999. Evaluation of runoff, Journal of the American water resources association 35(4), 807-820.
Lee ES, Lee DK, Kim SH, Lee KC. 2016. Design strategies to reduce surface water flooding in a historical district. Journal of Flood Risk Management. Online Version of Record published before inclusion in an issue.
Li C, Miao L, Yuanman H, Jiping G, Yanyan X. 2016. Modeling the Quality and Quantity of Runoff in a Highly Urbanized Catchment Using Storm Water Management Model, Polish Journal of Environmental Studies 25(4).
Li C, Wang W, Xiong J, Chen P. 2014. Sensitivity Analysis for Urban Drainage Modeling Using Mutual Information, Entropy 16(11), 5738-5752.
Mahdavi M. 2007. Applied Hydrology. Volume 2. Tehran Press.
McCuen RH, Johnson PA, Ragan RM. 1996. Highway Hydrology: Hydraulic Design Series No: 2. Hydrology, Federal Highway Administration, Washington, DC FHWA-SA. 357 P.
McCuen RH. 1972. The role of sensitivity analysis in hydrologic modelling. Journal of hydrology 18, 37-53.
Moafi RA. 2012. Optimum design of flood diversion structure dimension based on the properties of upstream watershed (Case Study: Diversion flood structure west of Tehran). MSc thesis, University of Tehran, Iran, 136-142.
Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL. 2007. Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations, American Society of Agricultural and Biological Engineering 50(3), 885-900.
Nan ZT, Shu LL, Zhao YB, Li X, Ding YJ. 2011. Integrated modeling environment and a preliminary application on Heihe River Basin, Science China Technological Sciences 54(8), 2145-2156.
Nash JE, Sutcliffe JV. 1970. River flow forecasting through conceptual models part I- A discussion of principles, Journal of Hydrology 10(3), 282-290.
Natural resources conservation service. 2009. Conservation Engineering Division, Small Watershed Hydrology, WinTR-55 User Guide 142 P.
Nestor MM, Buchberger GS, Suidan TM, Lu T. 2014. Calibration of Rainfall-Runoff Model in Urban Watersheds for Storm water Management Assessment. Journal of Water Resources Planning and Management 140(6).
Razavi S, Tolson BA, Burn DH. 2012. Review of surrogate modeling in water resources. Water Resource Research 48(7).
Rossman LA. 2009. Storm water management model user’s manual, version 5.0, EPA. United States 233 P.
Rosso R, 1994. An introduction to spatially distributed modelling of basin response. In Advances in Distributed Hydrology, Ros so R Pea no A Becchi I, Bemporad GA (Eds), Water Resources Publications, Fort Collins 3-30.
Rostami KM, Mahdavi M, Khalighi SS, Salajeghe A. 2012. Sensitivity Analysis of Variables Affecting on Urban Flooding Using SWMM Model, Journal of Watershed Management Research 3(5), 81-91.
Saltelli A, Scott EM, Chan K, Marian S. 2000. Sensitivity Analysis. John Wiley and Sons: Chichester.
Shahbazi A, Avaz Abadian K, Samadi Arghini H, Malekian A. 2014. Identification and ranking factors involved in creating urban water inundation (Case Study: Karaj city), Journal of Biodiversity and Environmental Sciences (JBES) 5(1), 150-156.
Song XM, Zhan CS, Kong FZ, Xia J. 2011. Advances in the study of uncertainty quantification for large-scale hydrological modeling system. Journal of Geographical Sciences 21(5), 801-819.
Sorooshian S, Gupta VK. 1995. Model calibration. In Computer Models of Watershed Hydrology, Singh VP (Ed). Water Resources Publications: Highlands Ranch, Colorado, USA 23-63.
Temprano J, Arango O, Cagiao J, Suarez J, Tejero I. 2006. Storm water quality calibration by SWMM: a case study in Northern Spain. Water SA 32(1), 55-63.
Tsihrintzis V, Hamid R. 1998. Runoff quality prediction from small urban catchments using SWMM. Hydrol Process 12(2), 311-329.
United Nations. World Urbanization Prospects. 2006. ESA/P/WP/200, 210 P.
Wu Y, Liu S. 2012. Automating calibration, sensitivity and uncertainty analysis of complex models using the R package Flexible Modeling Environment (FME): SWAT as an example. Environmental Modelling & Software 31, 99-109.
Xiaomeng S, Jianyun Z, Chesheng Z, Yunqing X, Ming Y, Chonggang X. 2015. Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications. Journal of Hydrology 523, 739-757.
Zaghloul NA, Abu Kiefa MA. 2001. Neural network solution of inverse parameters used in the sensitivity-calibration analyses of the SWMM model simulations, Advances in engineering Software 32, 587-595.
Zongxue X, Gang Zh. 2016. Impact of urbanization on rainfall-runoff processes: Case Study in the Liangshui River Basin in Beijing, China. Proc. International Association of Hydrological Sciences 373, 7-12.
By Authors and International Network for
Natural Sciences (INNSPUB)