Urban drainage models for green areas

Structural differences and their effects on simulated runoff

Document identifier: oai:DiVA.org:ltu-76902
Access full text here:10.1016/j.hydroa.2019.100044
Keyword: Engineering and Technology, Civil Engineering, Water Engineering, Teknik och teknologier, Samhällsbyggnadsteknik, Vattenteknik, Model structure uncertainty, Urban drainage, Green areas, Runoff, Infiltration, Stormwater models, VA-teknik, Urban Water Engineering, Centrumbildning - Centrum för dagvattenhantering (DRIZZLE), Centre - Centre for Stormwater Management (DRIZZLE)
Publication year: 2019
Relevant Sustainable Development Goals (SDGs):
SDG 15 Life on landSDG 11 Sustainable cities and communities
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

Mathematical stormwater models are often used as tools for planning and analysing urban drainage systems. However, the inherent uncertainties of the models must be properly understood in order to make optimal use of them. One source of uncertainty that has received relatively little attention, particularly for increasingly popular green areas as part of urban drainage systems, is the mathematical model structure. This paper analyses the differences between three different widely-used models (SWMM, MOUSE and Mike SHE) when simulating rainfall runoff from green areas over a 26-year period. Eleven different soil types and six different soil depths were used to investigate the sensitivity of the models to changes in both. Important hydrological factors such as seasonal runoff and evapotranspiration, the number of events that generated runoff, and the initial conditions for rainfall events, varied significantly between the three models. MOUSE generated the highest runoff volumes, while it was rather insensitive to changes in soil type and depth. Mike SHE was mainly sensitive to changes in soil type. SWMM, which generated the least runoff, was sensitive to changes in both soil type and depth. Explanations for the observed differences were found in the descriptions of the mathematical models. The differences in model outputs could significantly impact the conclusions from studies on the design or analysis of urban drainage systems. The amount and frequency of runoff from green areas in all three models indicates that green areas cannot be simply ignored in urban drainage modelling studies.

Authors

Ico Broekhuizen

Luleå tekniska universitet; Arkitektur och vatten
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Tone M. Muthanna

Norwegian University of Science and Technology, Trondheim, Norway
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Günther Leonhardt

Luleå tekniska universitet; Arkitektur och vatten
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Maria Viklander

Luleå tekniska universitet; Arkitektur och vatten
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