The main inputs to the tool are elevation, land-use, and flow direction rasters, which have to be defined with the same grid. GisToSWMM5 is used via the command prompt or using a batch file. Spatio-temporal patterns of major ions in urban stormwater under cold climate. Hulevesimallinnus ja tulvariskin arviointi Turun sataman valuma-alueella (Storm water modelling and flood risk assessment in Turku harbor catchment). Applicability of open rainfall data to event-scale urban rainfall-runoff modelling.
Application and assessment of an automated subcatchment generator for SWMM (Study project Report). Pintamittauksen hyödyntämismahdollisuudet viemäriverkosto-mallin kalibroinnissa (Utilizing possibilities of level measurement in the calibration of a sewerage model). Other studies involving GisToSWMM5 include: Automated Urban Rainfall–Runoff Model Generation with Detailed Land Cover and Flow Routing. J., Kokkonen, T., Sillanpää, N., Setälä, H., & Koivusalo, H. Development and application of an automated subcatchment generator for SWMM using open data. J., Taka, M., Krebs, G., Haahti, K., Koivusalo, H., & Kokkonen, T. When using the GisToSWMM5 tool, please refer to the following publications which also provide more information regarding the tool: The tool is distributed under MIT-license. The tool was originally developed by Lassi Warsta () at the Aalto University School of Engineering. The tool takes elevation, land-use, and flow direction information from the user-prepared input files, creates subcatchments for the studied area, and routes water between subcatchments and into the stormwater network.
The input files for the tool can be prepared using GIS software and the resulting SWMM model can be studied in GIS. The results demonstrate that it is in fact possible to enhance the water balance and gain new living space simultaneously if a sustainable urban planning strategy is implemented that includes future-oriented stormwater management.GisToSWMM5 is a tool for automatically constructing SWMM5 model descriptions. The outcomes for these intensities clearly show the positive impact of sustainable water-sensitive design. Most notably is the impact of climate change projection rainfall intensities for 2040–2069. The best-case scenario significantly outperforms the other two concerning water infiltration, surface runoff and storage. The results show that measures for sustainable stormwater management are crucial elements to cope with an increasing number of heavy precipitation events due to climate change. The comparison between the different scenarios focuses on three main aspects of the water balance, namely, infiltration, runoff and storage. Three scenarios are implemented: a status quo, a business as usual scenario (additional buildings without compensation measures) and a best-case scenario (one additional floor with green roofs disconnected from the sewers in combination with rain gardens and porous pavements on the land parcels). The events are implemented for both current and climate change precipitation intensities of the RCP 8.5 projection for 2040–2069. The study is based on single event simulations of three return periods with the physically based software PCSWMM. The living-lab approach pursues the application of nature-based solutions in a real planning case to achieve positive climate effects while densifying the neighbourhood. This study investigates the combined quantitative hydrological impact of densification and sustainable stormwater management measures in a residential neighbourhood in Munich, Germany. Sustainable urban drainage systems are considered as a strategy to handle stormwater runoff locally and thus relieve the sewage system. Densification implies the increase of water impervious area which increases the vulnerability to flooding during extreme precipitation events. To restrict urban expansion in the outskirts, a common strategy is to densify existing neighbourhoods. The demand for living space is rising in growing cities.