Identifying and ranking factors involved in creating urban water Inundation (Case study: Karaj City)
Paper Details
Identifying and ranking factors involved in creating urban water Inundation (Case study: Karaj City)
Abstract
Expansion of housing and municipal infrastructures because of the ever increasing population on one hand and the conversion of agricultural, pasture and forest lands to urban areas on the other hand have led to many natural problems like agitated ecosystems and unbalanced hydrological status in different areas. Sensitivity analysis serves as a way of identifying influential factors in shaping final model’s output. This study strives for the identification of influential factors in water Inundation using SWMM model. To this end, of the 9 primary factors of the model, 15 and 30 percent reduction or addition were made and the resulting peak flow was examined in each case. The results showed that the most sensitive parameters to low orders of sensitivity include the percentage of impermeable area, channel roughness coefficient, Manning’s roughness coefficient of impermeable areas, width of the equivalent rectangle, slope, curve number (CN), impermeable areas storage, Manning roughness coefficient in permeable zones. Since the use of impermeable surfaces in urban areas is inevitable, new methods based on the criteria of sustainable development, long-term planning and existing facilities could be devised in order to at least reduce the damage caused by the floods. By restoration of natural cycle of water remarkable leaps could be taken to conserve current water resources and maintaining current development and future progress.
Ahmadian M. 2012. Urban runoff discussion to reduce risks using SWMM model (Case study: New Hashtgerd Town). MSc thesis. University of Science and Research. 150 p.
Avrand R, Turabi podh H, Frzayy A. 2006. Sensitivity Analysis of HEC-1 model input parameters. Seventh International Conference on River Engineering. University of Chamran Ahvaz 12 p.
Bozorg Haddad O, Seifollahi Aghmiuni S. 2013. An Introduction to Uncertainty Analysis in Water Resources Systems. University of Tehran press. 214 p.
Brattebo BO, Booth DB. 2004. Long-Term Stormwater Quantity and Quantity performance of permeable pavement Systems; Water Research vol. 37, 4369-4376 p.
Dalir A. 2009. Simulation performance combined sewage during rain MIKE SWMM model and Arc view (case study portion of the sewage network in Mashhad). Water Development. MSc. Thesis. University of Ferdowsi Mashhad.195 p.
Fallah Tafti A. 2005. Simulated surface runoff drainage area Mashhad Water and electricity using fusion model MIKE SWMM and GIS. Water Development. MSc. Thesis. University of Ferdowsi Mashhad.
Gironas J, Roesner LA, Rossman LA, Davis J. 2010. A new app lications manual for the Storm Water Management Model (SWMM). Environmental Modelling and Software 25, 813-814 p.
Hosseini M. 2014. Water balance simulation in Ghare-Sou Watershed, Kermanshah, using the SWAT model, Journal of watershed management and engineering, 6(1), 63-73.
Khalighi Sigaroodi1 SH, Zinati T, Salajegheh A, Kohandel A, Mortezaee GH. 2009. Precipitation and runoff simulation by semi distributed method in river basins with deficit date, case study: Latyan Basin. Proceedings of the 5th National Seminar on Watershed Management Sciences and Engineering, Gorgan, 180-188 p.
Malekinejad H, Ekrami M. 2010. Various aspects of urban and non-urban hydrology. The National Conference on Urban flood management. 9 p.
Moafi A. 2012. Optimal design of flood-based translation watershed characteristics (case study: Tehran flooding back West). MSc thesis. University of Tehran. 128 p.
Naserabadi F, Esmali Ouri A, Akbari H, Rostamian R. 2014. A sensitivity analysis of SWAT model in Ghareh Su watershed, Ardabil, Journal of watershed management and engineering 5(4), 255-265.
Radmehr A. 2010. Optimal management of urban surface runoff using spatial multi-criteria decision. MSc. Thesis. University of Tehran.
Rostami Khalaj M, Mahdavi M, Khalighi Sigaroodi1 SH, Salajegheh A. 2012. Sensitivity analysis of variables affecting on urban flooding using SWMM mode. Journal of Watershed Management. 3 (5), 81-91 p.
Shahbazi A. 2012. Urban flood risk zoning using hydrological and hydraulic models integration. MSc. Thesis. University of tehran.145 p.
Sharifan RA, Roshan A, Aflatoni M, Jahedi A, Zolghadr M. 2010. Uncertainty and sensitivity analysis of SWMM model in computation of manhole water depth and subcatchment peak flood. Procedia Social and Behavioral Sciences 2, 7739-7740 p.
Shiran M. 2007. Hslsyt some variables affecting the geomorphological map of flood routing in flood areas identified Karun model HEC-HMS. MSc. Thesis. University of Tarbiat Moalem.
Ali Shahbazi, Keyvan Avaz Abadian, Hojjatollah Samadi Arghini, Arash Malekian, 2014. Identifying and ranking factors involved in creating urban water Inundation (Case study: Karaj City). J. Biodiv. Environ. Sci., 5(1), 150-156.
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