For the water security, It is necessary to be clear about the analysis of the analysis, the details of the existing infrastructure, the available budget and the objectives of the nature -based solutions portfolio (NbS).

On the other hand, flood mitigation, It is important to have detailed information on the characteristics of flood events in the study area, such as the frequency, intensity and duration of floods.

For the water security, module, a study case is defined as the way to relate the operating and maintenance costs of infrastructure with the possible benefits offered by nature based solutions (NbS). In this module, it focuses on how NbS can improve the efficiency of water collection and treatment systems, and how its implementation can generate savings in operating costs.

For the flood mitigation module, a case study focuses on the watershed of interest and the characteristics of land cover to analyze potential damages to be assessed. This module aims to understand how NbS can reduce the risk and severity of floods.

WaterProof uses global datasets to characterize biophysical aspects, land use and land cover, as well as to create climate change scenarios. These datasets are used as inputs for the InVEST and RiOS models.

For the flood mitigation module, in addition to land cover data, soil conditions such as roughness and infiltration are also considered. These parameters are essential to simulate how terrain and soil characteristics affect floods, and to evaluate the effectiveness of NbS in reducing flood damages in the study region.

Here you will find a complete example of a case study for water security,including the description of all the elements and steps developed for its setup.We hope it will serve as a guide to create your own case study.

If you would like to see how to configure a case study for flood mitigation, you can click here

WaterProof is mainly aimed at professionals in charge of designing projects for the implementation of Nature-based Solutions. The general public can access openly.