Modeling the quality and quantity of runoff in a highly urbanized catchment using storm water management model

• Autorzy: Li C. , Liu M. , Hu Y. , Gong J. , Xu Y.
• Języki publikacji: EN

Abstrakty

EN

As urbanization increases, urban runoff becomes an increasingly more important component of urban non-point pollution. In this study, the Storm Water Management Model was used to simulate the quantity and quality of runoff in a highly urbanized catchment. Data from three rainfall events were collected and used for model calibration and validation. Model performance was assessed using the Nash-Sutcliffe coefficient, relative error, and coefficient of determination. The modified Morris screening method was used for local sensitivity analysis. Sensitivity analysis results showed that the destore imperv and condit roughness parameters had the most influence on the hydrology and hydraulic module. Road exponent was the most sensitive parameter in determining TSS quantity and peak concentration. The calibration and verification results indicated that the model structure and parameters fitted the runoff-producing pattern. The total simulation accuracies of TSS, TN, TP, and COD loads, as assessed by the R2 value, were 0.82, 0.87, 0.72, and 0.94, respectively.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2016
• Tom: 25
• Numer: 4
• Opis fizyczny: p.1573-1581,fig.,ref.

Twórcy

autor

Li C.

• Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
• Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, China

autor

Liu M.

• Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China

autor

Hu Y.

• Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China

autor

Gong J.

• Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
• University of Chinese Academy of Sciences, Beijing 100049, China

autor

Xu Y.

• Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
• University of Chinese Academy of Sciences, Beijing 100049, China

Bibliografia

• 1. CHUNLIN L., MIAO L., YUANMAN H., JIPING G., FENGYUN S., YANYAN X. Characterization and first flush analysis in road and roof runoff in Shenyang, China. Water Science & Technology, 70, 397, 2014.
• 2. SELVAKUMAR A., BORST M. Variation of microorganism concentrations in urban stormwater runoff with land use and seasons. Journal of Water and Health, 4, 109, 2006.
• 3. KROMETIS L., DRUMMEY P., CHARACKLIS G., SOBSEY M. Impact of Microbial Partitioning on Wet Retention Pond Effectiveness. Journal of Environmental Engineering, 135, 758, 2009.
• 4. YANG X.L., LI T.K., HUA K.K., ZHANG Y.L. Investigation of First Flushes in a Small Rural-Agricultural Catchment. Polish Journal of Environmental Studies, 24, 381, 2015.
• 5. RAUCH W., LEDIN A., ERIKSSON E., DELETIC A., HUNT III W.F. Stormwater in urban areas. Water Research, 46, 6588, 2012.
• 6. ZHANG Q., WANG X., HOU P., WAN W., LI R., REN Y., OUYANG Z. Quality and seasonal variation of rainwater harvested from concrete, asphalt, ceramic tile and green roofs in Chongqing, China. Journal of Environmental Management, 132, 178, 2014.
• 7. CHARACKLIS G.W., WIESNER M.R. Particles, metals, and water quality in runoff from large urban watershed. Journal of Environmental Engineering-Asce, 123, 753, 1997.
• 8. GERMAN J., SVENSSON G. Metal content and particle size distribution of street sediments and street sweeping waste. Water Science and Technology, 46, 191, 2002.
• 9. VAZE J., CHIEW F. Nutrient Loads Associated with Different Sediment Sizes in Urban Stormwater and Surface Pollutants. Journal of Environmental Engineering, 130, 391, 2004.
• 10. WALSH C.J., FLETCHER T.D., BURNS M.J. Urban Stormwater Runoff: A New Class of Environmental Flow Problem. PLoS ONE, 7, e45814, 2012.
• 11. PETERSON E.W., WICKS C.M. Assessing the importance of conduit geometry and physical parameters in karst systems using the storm water management model (SWMM). Journal of Hydrology, 329, 294, 2006.
• 12. OUYANG W., GUO B., HAO F., HUANG H., LI J., GONG Y. Modeling urban storm rainfall runoff from diverse underlying surfaces and application for control design in Beijing. Journal of Environmental Management, 113, 467, 2012.
• 13. BARCO J., WONG K.M., STENSTROM M.K. Automatic calibration of the US EPA SWMM model for a large urban catchment. Journal of Hydraulic Engineering-Asce, 134, 466, 2008.
• 14. SHORSHANI M.F., BONHOMME C., PETRUCCI G., ANDR M., SEIGNEUR C. Road traffic impact on urban water quality: a step towards integrated traffic, air and stormwater modelling. Environmental Science and Pollution Research, 21, 5297, 2014.
• 15. WALSH T.C., POMEROY C.A., BURIAN S.J. Hydrologic modeling analysis of a passive, residential rainwater harvesting program in an urbanized, semi-arid watershed. Journal of Hydrology, 508, 240, 2014.
• 16. ALIAS N., LIU A., EGODAWATTA P., GOONETILLEKE A. Sectional analysis of the pollutant wash-off process based on runoff hydrograph. Journal of Environmental Management, 134, 63, 2014.
• 17. HSU M.H., CHEN S.H., CHANG T.J. Inundation simulation for urban drainage basin with storm sewer system. Journal of Hydrology, 234, 21, 2000.
• 18. CEPA. Analyses methods for monitoring water and wastewater (4th ed). Beijing: Environmental Science Press, 2002.
• 19. ROSSMAN L.A. Storm water management model user’s manual, version 5.0. National Risk Management Research Laboratory, Office of Research and Development, US Environmental Protection Agency, 2010.
• 20. CHOW M.F., YUSOP Z., TORIMAN M.E. Modelling runoff quantity and quality in tropical urban catchments using Storm Water Management Model. International Journal of Environmental Science and Technology, 9, 737, 2012.
• 21. BORRIS M., VIKLANDER M., GUSTAFSSON A.M., MARSALEK J. Modelling the effects of changes in rainfall event characteristics on TSS loads in urban runoff. Hydrological Processes, 28, 1787, 2014.
• 22. BLASONE R.-S., MADSEN H., ROSBJERG D. Uncertainty assessment of integrated distributed hydrological models using GLUE with Markov chain Monte Carlo sampling. Journal of Hydrology, 353, 18, 2008.
• 23. VAN DER STERREN M., RAHMAN A., RYAN G. Modeling of a lot scale rainwater tank system in XPSWMM: A case study in Western Sydney, Australia. Journal of Environmental Management, 141, 177, 2014.
• 24. SALTELLI A., TARANTOLA S., CAMPOLONGO F. Sensitivity analysis as an ingredient of modeling. Statistical Science, 377, 2000.
• 25. CAMPOLONGO F., BRADDOCK R. Sensitivity analysis of the IMAGE Greenhouse model. Environmental Modelling & Software, 14, 275, 1999.
• 26. KREBS G., KOKKONEN T., VALTANEN M., KOIVUSALO H., SETALA H. A high resolution application of a stormwater management model (SWMM) using genetic parameter optimization. Urban Water Journal, 10, 394, 2013.
• 27. ARABI M., GOVINDARAJU R.S., HANTUSH M.M. A probabilistic approach for analysis of uncertainty in the evaluation of watershed management practices. Journal of Hydrology, 333, 459, 2007.
• 28. THANAPAKPAWIN P., RICHEY J., THOMAS D., RODDA S., CAMPBELL B., LOGSDON M. Effects of landuse change on the hydrologic regime of the Mae Chaem river basin, NW Thailand. Journal of Hydrology, 334, 215, 2007.
• 29. NASH J., SUTCLIFFE J. River flow forecasting through conceptual models part I – A discussion of principles. Journal of Hydrology, 10, 282, 1970.
• 30. ZHAO D., CHEN J., WANG H., TONG Q. Application of a sampling based on the combined objectives of parameter identification and uncertainty analysis of an urban rainfallrunoff model. Journal of Irrigation and Drainage Engineering, 139, 66, 2012.
• 31. PARK S., LEE K., PARK I., HA S. Effect of the aggregation level of surface runoff fields and sewer network for a SWMM simulation. Desalination, 226, 328, 2008

Identyfikatory

DOI

10.15244/pjoes/60721