title: Source-Based Modeling Of Urban Stormwater Quality Response to the Selected Scenarios Combining Future Changes in Climate and Socio-Economic Factors.
abstract: The assessment of future trends in urban stormwater quality should be most helpful for ensuring the effectiveness of the existing stormwater quality infrastructure in the future and mitigating the associated impacts on receiving waters. Combined effects of expected changes in climate and socio-economic factors on stormwater quality were examined in two urban test catchments by applying a source-based computer model (WinSLAMM) for TSS and three heavy metals (copper, lead, and zinc) for various future scenarios. Generally, both catchments showed similar responses to the future scenarios and pollutant loads were generally more sensitive to changes in socio-economic factors (i.e., increasing traffic intensities, growth and intensification of the individual land-uses) than in the climate. Specifically, for the selected Intermediate socio-economic scenario and two climate change scenarios (RSP = 2.6 and 8.5), the TSS loads from both catchments increased by about 10 % on average, but when applying the Intermediate climate change scenario (RCP = 4.5) for two SSPs, the Sustainability and Security scenarios (SSP1 and SSP3), the TSS loads increased on average by 70 %. Furthermore, it was observed that well-designed and maintained stormwater treatment facilities targeting local pollution hotspots exhibited the potential to significantly improve stormwater quality, however, at potentially high costs. In fact, it was possible to reduce pollutant loads from both catchments under the future Sustainability scenario (on average, e.g., TSS were reduced by 20 %), compared to the current conditions. The methodology developed in this study was found useful for planning climate change adaptation strategies in the context of local conditions.
authors.affiliation: Department of Civil, Environmental and Natural Resourses Engineering, Luleå University of Technology, 97187, Luleå, Sweden. matthias.borris@ltu.se.
authors.forename: Matthias
authors.initials: M
authors.lastname: Borris
authors.affiliation: Department of Civil, Environmental and Natural Resourses Engineering, Luleå University of Technology, 97187, Luleå, Sweden.
authors.forename: Günther
authors.initials: G
authors.lastname: Leonhardt
authors.affiliation: Department of Civil, Environmental and Natural Resourses Engineering, Luleå University of Technology, 97187, Luleå, Sweden.
authors.forename: Jiri
authors.initials: J
authors.lastname: Marsalek
authors.affiliation: Department of Civil, Environmental and Natural Resourses Engineering, Luleå University of Technology, 97187, Luleå, Sweden.
authors.forename: Heléne
authors.initials: H
authors.lastname: Österlund
authors.affiliation: Department of Civil, Environmental and Natural Resourses Engineering, Luleå University of Technology, 97187, Luleå, Sweden.
authors.forename: Maria
authors.initials: M
authors.lastname: Viklander
mesh_terms: D057231:Climate Change; D003198:Computer Simulation; D004784:Environmental Monitoring / Q000191:economics / Q000379:methods; D005544:Forecasting; D019216:Metals, Heavy / Q000032:analysis*; D008962:Models, Theoretical; D011891:Rain / Q000737:chemistry*; D012959:Socioeconomic Factors; D013548:Sweden; D014507:Urbanization / Q000639:trends*; D014874:Water Pollutants, Chemical / Q000032:analysis*; D018508:Water Purification / Q000191:economics / Q000379:methods; D060753:Water Quality
chemical_list: D019216:Metals, Heavy; D014874:Water Pollutants, Chemical
keywords: Climate change; Future scenarios; Socio–economic factors; Source-based modeling; Stormwater quality