Collaborative Spatial Information as Alternative Source of Observed Data in Hydrodynamic Models Calibration
Inundation. Uncertainty. HEC-RAS. Hidromapp. Volunteered Geographic Information
The research aims to explore the use of collaborative spatial data as an alternative source of observed data for the calibration of hydrodynamic models, specifically in the mapping of hydrological risk areas. The work is motivated by the multiple sources of uncertainties present in the hydrodynamic modeling, which highlights the relevance of the calibration and validation stages of the simulations. At the same time, the scarcity of observed data has been pointed out as one of the main limitations of the theme, so that information shared collaboratively can be considered a potential alternative source of information. For this, the following aspects are addressed in the work: development of a collaborative platform (mobile application) for the collection of flood marks; strategies that can be adopted to motivate and engage potential employees to carry out data collections; development of mechanisms for data consistency analysis; and, finally, the potentialities and limitations identified in the application of collaborative information as an alternative source of data observed for the calibration of hydrodynamic models. The results obtained validate the hypothesis that collaborative spatial data can be considered an alternative source of observed data for the calibration of hydrodynamic models. The simulations calibrated from collaborative data showed errors (RMSE) below 10 centimeters when compared to a reference simulation, in which the development of mechanisms for analyzing data consistency was fundamental for the performance of the results. Likewise, the developed application demonstrated good performance since it enabled the collection of collaborative data (flood marks), with users reporting its ease of use and absence of malfunctions. Finally, in relation to the motivation and engagement of employees, elementary school students showed greater performance in conducting data collection, while also observing the importance of carrying out direct mobilization actions, such as in-person workshops. Thus, the research hopes to contribute to the reduction of uncertainties in the mapping of hydrological risk areas, specifically with regard to the scarcity of data observed for the calibration and validation of hydrodynamic models.