Diego Fabian Pajarito Grajales, Livia Castro Degrossi, Daniel Barros, Mohammed Rizwan Khan, Fernanda Lima E Silva, Maria Alexandra Cunha, et al. (2022). Enabling Participatory Flood Monitoring Through Cloud Services. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 213–223). Tarbes, France.
Abstract: Flooding events are more impactful due to climate change, while traditional top-down approaches to flood management give way to new initiatives that consider citizens and communities as active strategic actors. Researchers and practitioners have started to place communities in the centre of creation processes or invite them to co-design digital platforms. However, many citizen science projects re-use well-known technological components without reflecting about how the technology is able to effectively support citizen participation in data generation, including the provision of flexible data storage and exchange. This paper describes a novel digital platform design which adopts cloud services to integrate official and citizen-generated data about urban flooding. It summarises the results of a participatory design process of a digital platform to collect, store and exchange flood-related data, which includes components such as data lakes, Application Programming Interfaces (APIs), and web and mobile interfaces. This work in progress paper presents insights and lessons learned from using cloud services to enable citizen participation and engage communities with flood monitoring.
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Lívia C. Degrossi, Guilherme G. Do Amaral, Eduardo S. M. De Vasconcelos, João Porto De Albuquerque, & Jo Ueyama. (2013). Using wireless sensor networks in the sensor web for flood monitoring in Brazil. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 458–462). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Flood is a critical problem that will increase as a result of climate changes. The problem of flooding is particularly challenging over the rainy season in tropical countries like Brazil. In this context, wireless sensor networks that are capable of sensing and reacting to water levels hold the potential of significantly reducing the damage, health-risks and financial impact of events. In this paper, we aim to outline our experiences with developing wireless sensor network for flood monitoring in Brazil. Our approach is based on Open Geospatial Consortium's (OGC) Sensor Web Enablement (SWE) standards, so as to enable the collected data to be shared in an interoperable and flexible manner. We describe the application of our approach in a real case study in the city of São Carlos/Brazil, emphasizing the challenges involved, the results achieved, and some lessons learned along the way.
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