A high resolution application of a stormwater management model (SWMM) using genetic parameter optimization

Low Impact Development (LID) tools and green infrastructure approaches have been developed and applied to mitigate the urbanization impacts on increasing runoff and pollutant washoff. The present work is the first part of a larger effort to simulate LID scenarios for a large scale urban catchment through up-scaling of high-resolution study catchments using the Stormwater Management Model (SWMM). In this study we present the setup, calibration, validation, and the results of a parameter sensitivity analysis of a high-resolution SWMM model for a highly urbanized small catchment located in Southern Finland. The homogenous subcatchments and associated narrow parameter boundaries, which are allowed by the high spatial resolution, result in insensitivity of SWMM to the fraction of impervious cover. The model optimization, using only the two identified key parameters “depression storage” and “Manning's roughness n for conduit flow”, yielded good performance statistics for both calibration and validation of the model.

[1]  Keh-Han Wang,et al.  Comparative Case Study of Rainfall-Runoff Modeling between SWMM and Fuzzy Logic Approach , 2012 .

[2]  Yurong Chen,et al.  Planning of LID–BMPs for urban runoff control: The case of Beijing Olympic Village , 2012 .

[3]  Analysis of the SWMM Model Parameters for Runoff Evaluation in Periurban Basins from Southern Brazil. , 2011 .

[4]  Water management in local development plans: the case of the old Fruit and Vegetable Market in Bologna , 2011 .

[5]  F. Montalto,et al.  Observed and Modeled Performances of Prototype Green Roof Test Plots Subjected to Simulated Low- and High-Intensity Precipitations in a Laboratory Experiment , 2010 .

[6]  F. Montalto,et al.  Resolution and Sensitivity Analysis of a Block-Scale Urban Drainage Model , 2010 .

[7]  Pentti Pirinen,et al.  Suomen maakuntien ilmasto , 2010 .

[8]  F. Hellweger,et al.  Effects of Spatial Resolution in Urban Hydrologic Simulations , 2010 .

[9]  D. Haase Effects of urbanisation on the water balance – A long-term trajectory , 2009 .

[10]  Elizabeth Brabec,et al.  Imperviousness and Land-Use Policy: Toward an Effective Approach to Watershed Planning , 2009 .

[11]  H. Setälä,et al.  Stormwater Research In Finland—Seeking Solutions Through Strategic Research , 2009 .

[12]  F. Montalto,et al.  Development and Calibration of a High Resolution SWMM Model for Simulating the Effects of LID Retrofits on the Outflow Hydrograph of a Dense Urban Watershed , 2008 .

[13]  Michael K. Stenstrom,et al.  Automatic Calibration of the U.S. EPA SWMM Model for a Large Urban Catchment , 2008 .

[14]  L. Lanza,et al.  Modelling storm water control operated by green roofs at the urban catchment scale , 2008 .

[15]  J. Suárez,et al.  Stormwater quality calibration by SWMM : a case study in Northern Spain , 2007 .

[16]  R. Beighley,et al.  Effects of Impervious Area Estimation Methods on Simulated Peak Discharges , 2007 .

[17]  A. H. Elliott,et al.  A review of models for low impact urban stormwater drainage , 2007, Environ. Model. Softw..

[18]  Paul Bizier Gravity sanitary sewer design and construction : prepared by a joint task force of the American Society of Civil Engineers and the Water Pollution Control Federation , 2007 .

[19]  Jeffrey G. Arnold,et al.  Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations , 2007 .

[20]  S T Khu,et al.  From single-objective to multiple-objective multiple-rainfall events automatic calibration of urban storm water runoff models using genetic algorithms. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[21]  O. Ruth The effects of de-icing in Helsinki urban streams, southern Finland. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.

[22]  James P. Heaney,et al.  Estimation of Urban Imperviousness and its Impacts on Storm Water Systems , 2003 .

[23]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[24]  V. Tsihrintzis,et al.  Runoff quality prediction from small urban catchments using SWMM , 1998 .

[25]  C. Jackson,et al.  URBANIZATION OF AQUATIC SYSTEMS: DEGRADATION THRESHOLDS, STORMWATER DETECTION, AND THE LIMITS OF MITIGATION 1 , 1997 .

[26]  C. Arnold,et al.  IMPERVIOUS SURFACE COVERAGE: THE EMERGENCE OF A KEY ENVIRONMENTAL INDICATOR , 1996 .

[27]  T. Schueler The importance of imperviousness , 1995 .

[28]  D. W. Owens,et al.  Sources of Pollutants in Wisconsin Stormwater , 1993 .

[29]  Drainage Division,et al.  Criteria for Evaluation of Watershed Models , 1993 .

[30]  L. R. Ahuja,et al.  Infiltration and soil water movement , 1992 .

[31]  Xxyyzz Design and Construction of Urban Stormwater Management Systems , 1992 .

[32]  D. Helsel,et al.  Statistical analysis of hydrologic data. , 1992 .

[33]  Wolfgang Schilling,et al.  Rainfall data for urban hydrology: what do we need? , 1991 .

[34]  Weng Tat Chan,et al.  Knowledge-Based System for SWMM Runoff Component Calibration , 1991 .

[35]  Edwin T. Engman,et al.  Roughness coefficients for routing surface runoff , 1983 .

[36]  Dan L. Glasgow,et al.  Gravity Sanitary Sewer Design and Construction , 1982 .

[37]  C. Kidd Rainfall-runoff processes over urban surfaces; proceedings of an international workshop, Wallingford, Oxon, April 1978 , 1978 .

[38]  C. Kidd,et al.  Simulation of the inlet hydrograph for urban catchments , 1977 .

[39]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[40]  N. Crawford,et al.  DIGITAL SIMULATION IN HYDROLOGY' STANFORD WATERSHED MODEL 4 , 1966 .

[41]  E. L. O P M E N T C E N T Low Impact Development ( LID ) A Literature Review , 2022 .