Conference Agenda

The UNIPV team proposes a multi-step methodology to optimize locations of nature-based solutions (NBSs) in the case study network of the Combat. Since the running time of the one-year long simulation of the case study network has order of magnitude of some hours, the first step of the methodology concerns simplification of the problem for the reduction of computational times. The second step of the methodology consists of the multi-objective genetic optimization of NBS locations, considering a pair of objective functions at a time, i.e. i) cost-flooding, ii) cost-biodiversity of NBS solutions, iii) cost-evaporation, iv) cost-water volumes addressed to the treatment plant, v) cost-water volumes discharged into the environment through the combined sewer overflow (CSO) device and vi) cost-pollutant mass discharged into the environment through the CSO device. This approach represents the simplification of an optimization in which all the seven objective functions are dealt with at the same time. The third and last step of the methodology makes use of optimization algorithms and manual refinements to obtain a single solution that compromises the solutions obtained in the second step of the methodology. After being tested against the constraints enforced by the Combat Organizers, this solution will be finally submitted.