Automated urban rainfall-runoff model generation with detailed land cover and flow routing

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http://hdl.handle.net/10138/308204

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Niemi , T , Kokkonen , T , Sillanpää , N , Setälä , H & Koivusalo , H 2019 , ' Automated urban rainfall-runoff model generation with detailed land cover and flow routing ' , Journal of Hydrologic Engineering , vol. 24 , no. 5 , 04019011 . https://doi.org/10.1061/(ASCE)HE.1943-5584.0001784

Title: Automated urban rainfall-runoff model generation with detailed land cover and flow routing
Author: Niemi, Tero; Kokkonen, Teemu; Sillanpää, Nora; Setälä, Heikki; Koivusalo, Harri
Contributor: University of Helsinki, Ecosystems and Environment Research Programme
Date: 2019-05
Language: eng
Number of pages: 10
Belongs to series: Journal of Hydrologic Engineering
ISSN: 1084-0699
URI: http://hdl.handle.net/10138/308204
Abstract: Constructing hydrological models for large urban areas is time consuming and laborious due to the requirements for high-resolution data and fine model detail. An open-source algorithm using adaptive subcatchments is proposed to automate Storm Water Management Model (SWMM) construction. The algorithm merges areas with homogeneous land cover and a common outlet into larger subcatchments, while retaining small-scale details where land cover or topography is more heterogeneous. The method was tested on an 85-ha urban catchment in Helsinki, Finland. A model with adaptive subcatchments reproduced the observed discharge at the catchment outlet with high model-performance indices emphasizing the strength of the proposed method. Computation times of the adaptive model were substantially lower than those of a corresponding model with uniformly sized high-resolution subcatchments. Given that high-resolution land cover and topography data are available, the proposed algorithm provides an advanced method for implementing SWMM models automatically even for large urban catchments without a substantial manual workload. Simultaneously, the high-resolution land cover details of the catchments can be maintained where they matter the most. (c) 2019 American Society of Civil Engineers.
Subject: 1172 Environmental sciences
218 Environmental engineering
Storm Water Management Model (SWMM)
Urban hydrology
Stormwater
Subcatchment delineation
Automation
Flow routing
SPATIAL-RESOLUTION
IMPACT
EVENT
IMPERVIOUSNESS
REPRESENTATION
AGGREGATION
PERFORMANCE
CALIBRATION
MERSEYSIDE
MANAGEMENT
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