3C for Cities
Urban growth combined with increasing rainfall intensities due to climate change may lead to a rapid increase of urban flooding risk. Software based systems where different scenarios of heavy precipitation are simulated gives the possibility to identify optimum solutions for mitigating climate change effects and consequently contribute to better life conditions for the city inhabitants and for the city as a whole.
The innovation refers to a decision support system based on a software model of the city infrastructure. The DSS system allows the risk analysis in case of potential storm damages, the prioritization of the identified climate change adaptation measures and emergency situation readiness preparation in case of heavy rainfall. The decision support system can be used either offline or online as an operational real time system for emergency situation due to heavy rainfall in the urban areas.
Technology demonstrated in relevant environment.
Representative model or prototype system, which is well beyond that of TRL 5, is tested in a relevant environment. Represents a major step up in a technology’s demonstrated readiness. Examples include testing a prototype in a high-fidelity laboratory environment or in a simulated operational environment.
Representative model or prototype system, which is well beyond that of TRL 5, is tested in a relevant environment. Represents a major step up in a technology’s demonstrated readiness. Examples include testing a prototype in a high-fidelity laboratory environment or in a simulated operational environment.
A pilot case study was already developed for a small area in Bucharest, Romania. A coupled Mike Urban (for the sewage)+Mike 21 (for the surface runoff) model was developed and calibrated on real data. The most important results obtained from the pilot model were water depth and velocities distribution maps (grids) on the surface analyzed area, which were further used to identify potential solutions for climate change adaptation.
How does it work?
Municipalities and water utility companies should conjunctionally implement such decision support systems that will provide solutions for climate change mitigation in the cities. Models of existing collection system infrastructure is built. Based on different climate change scenarios one can assess how vulnerable existing infrastructure is to climate change conditions and what solutions can be addressed to lower or completely mitigate storm events effect upon the city. Identified solutions are also tested through existing model. After this stage the utility can opt for building a real time operational decision support system that will provide warning based on now casted or forecasted conditions.
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