Background and Goals
The SUDPLAN project deals with adaptation measures for urban technical infrastructures faced with climate change. This will be done by developing a web-based planning, forecasting and training tool. It will be developed and launched in the pilot cities Stockholm, Wuppertal, Linz and Prague. However, the aim is for it to be transferable to other European cities for adaptation planning.
Components of SUDPLAN: The project will produce long-term forecasts for environmental factors affecting planning of urban subsystems such as building and landscape architecture, transport, local water drainage and sewage assessment. This will be achieved by creating a "general service" allowing visualisation of environmental and climate data, which can then be used as an input for local models. A further component is the "Scenario Management System (SMS)", which is an interactive graphic-based decision support system providing a web environment that gives users access to local applications in the pilot cities.
Content time
toResearch area/region
- Germany
- Bavaria
- Low mountain ranges left and right of Rhine
- West German lowland bay
Stockholm, Wuppertal, Linz, Prag
Steps in the process of adaptation to climate change
Step 1: Understand and describe climate change
With the "general service", SUDPLAN provides models for downscaling climate and environmental data for direct visualisation and as input data for local models. The global climate models ECHAM5, HADCM3 and CCSM3 are being used with emissions scenarios A1B and A2, the RCA3 regional model, the MATCH air quality model and HYPE for hydrology from the Swedish Meteorological and Hydrological Institute (SMHI).
- River flooding
- Heat waves
- Altered rainfall patterns
- Higher average temperatures
- Low water
- Extreme precipitation (incl. hail, snow)
- Storm
air quality
Step 2a: Identify and assess risks - climate effects and impact
The effects of extreme precipitation, flooding, air pollution, heat waves and storms will be analysed.
Step 3: Develop and compare measures
The models used in the pilot city of Wuppertal can satisfactorily simulate the surface drainage during a heavy rain event, allowing the influence of climate change on the frequency and intensity of future rainfall to be studied. This can be done using SUDPLAN's special web services. In addition, local construction measures to reduce flood risks (e.g. raising kerbs) can be run through in simulations. This makes use of the innovative visualisation options, which are capable of impressively portraying the effectiveness of these measures. This creates a good basis for the approval process with all affected decision makers and for advising affected property owners.
The Austrian case study examines adaptation measures for the sewage infrastructure in Linz to deal with more intense heavy rain events. In Prague, a planning tool will be developed to assess the city's impact on its surroundings and vice versa. This will be assessed using the environmental quality (air quality) and its influence on population migration from cities to suburbs or surrounding areas. In Stockholm, a planning tool will be developed to determine the air quality, incorporating the risks from exceeding national standard values and environmental targets for current and future climate scenarios.
- 2071–2100 (far future)
Step 4: Plan and implement measures
The planning, forecasting and training tool is intended to help urban infrastructure planning in adapting to climate change, in order to prevent or mitigate potential damage. Urban planners can use the web-based system to assess the consequences of current and future infrastructure, transport system and town planning development.
Participants
European Commission (7th Framework Programme); specific "Cooperation" programme – Research topic "Information and communication technologies"
Swedish Meteorological and Hydrological Institute (SMHI)
AIT Austrian Institute of Technology GmbH (AIT) cismet GmbH,
The Czech Environmental Information Agency (CENIA),
Apertum IT AB,
German Research Center for Artificial Intelligence (DFKI),
The Stockholm-Uppsala Air Quality Management Association (SULVF),
City Wuppertal,
Graz University of Technology (TUG)
Swedish Meteorological and Hydrological Institute (SMHI)
Folkborgsvägen 1
601 76 Norrköping