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.
Original language | English |
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Article number | 04019011 |
Number of pages | 10 |
Journal | JOURNAL OF HYDROLOGIC ENGINEERING |
Volume | 24 |
Issue number | 5 |
DOIs | |
Publication status | Published - 1 May 2019 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Automation
- Flow routing
- Storm Water Management Model (SWMM)
- Stormwater
- Subcatchment delineation
- Urban hydrology