Developing a New Matrix Model to Estimate the Urban Run-Off Water Quality

Document Type : Original Research Paper


1 Department of Environmental Engineering, Kish International Campus, University of Tehran, Kish Island, Iran

2 Graduate Faculty of Environment, University of Tehran

3 Department of Civil Engineering, Faculty of Engineering, University of Bojnord, P.O.Box 94531-55111, Bojnurd, Northern Khorasan, Iran


This research aims at developing a new relation to estimate the urban runoff
water quality through urban land use. According to the first phase of this research, six
urban characteristics and land use indices have been defined concerning all parameters
with either direct or indirect impacts on urban water quality: Population, land use type,
meteorological factors, local physiographical parameters, urban patterns etc. have been
considered when developing the new indices. Three study areas, including different urban
land uses, have been selected in Tehran Metropolitan and urban drains maps and
structures have gone under study to determine the sampling points. Multi-statistical
analysis, discriminate analysis, and multi-linear regression analysis have been applied for
all water quality results and urban indices in each site, with the results revealing very
strong relations between urban land use and water quality variation. Temporary
population especially in downtown site has proved to be an effective temporal factor on
how even public transport could not have any significant effects, in case population
density has no significant influence on water quality, as all sanitary waste water in
selected sites is collected through urban wastewater systems separately. General slop is a
significant factor in hydrocarbons and heavy metals, once they are not alongside the
streets route. All told, this paper recommends reusing urban drained runoff locally before
joining other regions’ collectors. Here in urban drainage system, collection and
aggregation of water could not be an appropriate factor in water quality management
unlike river systems. The model could be employed in urban local water consumption
management in irrigation and public recovery.


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