A Web GIS Platform to Modeling, Simulate and Analyze Flood Events: The RiverCure Portal

Author:

Rodrigues da Silva Alberto1ORCID,Estima Jacinto2ORCID,Marques Jorge1,Gamito Ivo1,Serra Alexandre1ORCID,Moura Leonardo3,Ricardo Ana4ORCID,Mendes Luís3ORCID,Ferreira Rui3

Affiliation:

1. INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, 1000-029 Lisboa, Portugal

2. CISUC, Departamento de Engenharia Informática, Universidade de Coimbra, 3030-790 Coimbra, Portugal

3. CERIS, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal

4. CERIS, IST-ID, 1000-043 Lisbon, Portugal

Abstract

Flood events are becoming more severe, causing significant problems to human communities, including physical, psychological, and material damage. For both flood forecasting in emergency response situations and flood mapping, georeferencing and data curation are paramount in the context of prevention or preparedness. Hence, data display, data management, and articulation with numerical simulation results must occur on GIS platforms. Our research is motivated by recent advances in Web and GIS technologies, social sensing and high-performance computing, and an envisaged wider availability of remote sensing data. This paper presents and discusses an innovative Web GIS platform named “RiverCure Portal” or “RCP” for short. This platform combines observations and hydrodynamic modelling tools to support various stages of the flood risk management cycle, including operational response, emergency preparedness, and risk assessment. RCP is a multi-organization, multi-context digital platform with flexible configuration features to define and support multiple sensor types and modelling options, satisfying the various needs of different organizations and stakeholders. In addition, this paper discusses the RiverCure Approach, which encompasses the following tasks directly supported by the RCP platform: defining the context and involved geometries, associating sensors to the context, pre-processing and generating the context mesh, defining the simulation event, running the simulation event, and analyzing the results from the simulation event. Thus, the RCP streamlines and simplifies data analysis and simulation procedures to meet decision-makers’ needs. The novelties discussed in this paper include the design and discussion of a Web GIS platform that allows (i) to manage flood data and results of simulations at several contextual levels by different stakeholders such as domain experts, decision-makers, researchers, or students; (ii) to process and curate sensed data obtained from physical and social sensors; and (iii) update the state and values of the parameters of simulation tools through continuous data assimilation techniques for forecasting purposes. Finally, this paper supports the explanation and discussion with a running example, “Águeda 2016 flood” event, which dataset is publicly available for further study and experimentation.

Publisher

MDPI AG

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development

Reference66 articles.

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5. Saya, S., Hasan, T.M., Mimura, S., Okada, T., Roth, M., Kohler, S., Rector, I., Morgan, G., Griekspoor, A., and Missal, R. (2023, June 01). Build Back Better: In Recovery, Rehabilitation and Reconstruction, UNISDR. Available online: https://www.unisdr.org/files/53213_bbb.pdf.

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