Utilizing GIS in the Development of Detailed Distribution Urban Drainage Models

Principal Investigator	Supervisor	Co-Supervisor
Zakia Alam Raihan Zakia Alam Raihan, MASc., EIT Position: Masters Student, Ryerson University Research interests: Urban runoff Water supply management Storm sewers Urban hydrology GIS Stormwater management Hydrological and hydraulic analysis Drainage modeling LIDs Contact: zakia.alamfoo@ryerson.ca	Dr. Darko Joksimovic Dr. Darko Joksimovic, PhD, P. Eng Position: Associate Professor, Ryerson University Research interests: Modelling, decision support and optimization of urban water systems: Low Impact Development (LID) techniques Integrated water reuse Maintenance of storm water management (SWM) ponds Sewer flow monitoring and modelling Public-private partnerships in SWM Incident management in water distribution systems Remote sensing applications in urban drainage Data-driven modelling Artificial intelligence in modelling and optimization (Genetic Algorithms, Artificial Neural Networks) Other projects: - An EPA SWMM Integrated Model for Calculating the Pollutant Removal Efficiency of Low Impact Development Practices Contact: darkojfoo@ryerson.ca 416-979-5000 x6462	Dr. Songnian Li Dr. Songnian Li, PhD, P.Eng Position: Professor, Ryerson University Research interests: Geospatial Information Systems (GIS), as well as their applications in such areas as transportation, environment, urban development, earth surface and under surface modeling, and disaster management, particularly in: Collaborative GIS and geographic visualization Spatial decision support systems (SDSS): methods and processes, participation, system design and applications Web-based and wireless mapping and GIS: services, architecture and software implementation Spatiotemporal GIS: data modeling, analysis, visualization and prediction Contact: snlifoo@ryerson.ca 416-979-5000 x6450

Timeline

October 2012 - January 2014

ABSTRACT

Stormwater management practices can mitigate the undesirable impacts of urbanization. Urban drainage models can play a significant role in comprehensive evaluation of stormwater management systems. This thesis presents a methodology for the development of a detailed distributed urban drainage model using Geographic Information System (GIS) databases. The approach incorporates delineation of spatial variables (subcatchment outlets, width, slope etc.) and other model inputs from digital data and assigns them to the GIS database by executing developed Python 2.7 scripts. The proposed methodology is applied on a case study area in Mississauga, Ontario. Observed rainfall data are used as model input and simulation is performed using PCSWMM 5.1.1279. The model performance is evaluated by comparing the uncalibrated simulated discharge with the observed one. The simulated hydrographs are of good fit with the observed hydrographs. The evaluation criteria justify the use of extracted and assumed parameters and the reliability of the developed methodology.

Utilizing GIS in the Development of Detailed Distribution Urban Drainage Models

Principal Investigator

Supervisor

Co-Supervisor

Timeline

ABSTRACT

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