A physically based model for mesoscale SuDS - an alternative to large-scale urban drainage simulations.

J Environ Manage

Department of Water Resources Engineering, Lund University, P.O. Box 118, SE-221 00 Lund, Sweden. Electronic address:

Published: June 2019

This study presents a deterministic, lumped model to simulate mesoscale sustainable drainage systems (SuDS) based on a conceptualization of the stormwater control measures (SCMs) making up the system and their influence on the runoff process. The conceptualization mainly relies on parameters that are easily quantifiable based on the physical characteristics of the SCMs. Introducing a nonlinear reservoir model at the downstream end of the SuDS results in a fast model that can realistically describe the runoff process at low computational cost. Modelled hydrographs for the study area in Malmö, Sweden, matched data with regard to the overall shape of the hydrograph as well as the peak discharge and lag time. These output parameters are critical factors to be considered in the design of large systems consisting of mesoscale SuDS. The algebraic foundation of the developed model makes it suitable for large-scale applications (e.g., macroscale), where the simulation time is a decisive factor. In this respect, city-wide optimization studies for the most efficient location and implementation of SuDS are substantially accelerated due to fast and easy model setup. Moreover, the simplicity of the model facilitates more effective communication between all the actors engaged in the urban planning process, including political decision makers, urban planners, and urban water engineers.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jenvman.2019.03.037DOI Listing

Publication Analysis

Top Keywords

mesoscale suds
8
runoff process
8
model
7
suds
5
physically based
4
based model
4
model mesoscale
4
suds alternative
4
alternative large-scale
4
urban
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!