Contributions of GIDES Project for Sediment Disaster Early Warnings in Brazil

Abstract

The rapid growth of urban areas and their inadequate expansion on slopes and flood plains made sediment disasters more frequent in Brazil. After the succession of disasters that caused major damage between 2008 and 2011, the Brazilian government reformulated its strategy and policies related to disaster risk management. Within this strategy, the Brazilian government has proposed a cooperation agreement with the Government of Japan, resulting in GIDES Project, which has as its main objective the strengthening of the national strategy for natural disaster risk management. Regarding actions related to the monitoring and early warning of sediment disasters, three Brazilian Municipalities were chosen as Pilot Implementations for GIDES, aiming to allow the discussion of new methodologies, adapting content and language of the alerts, the establishment of shared and unified information flows and records, and the establishment of common protocols, in experimental scale. This article aims to draw the major aspects in Brazilian risk management context, outline the main challenges faced so far and the Project's contribution perspectives for the improvement of sediment disaster risk management in Brazil, especially on issues related to monitoring and early warning.

Exploring the use of IoT Data for Heightened Situational Awareness in Centralised Monitoring Control Rooms

“…In addition to this platform, operators also use data analytics systems that implement machine learning algorithms to automate data processing and provide further insights to support decision making. Within the scope of this work, we focused our analysis on two systems: 1) the IDF (intensityduration-frequency) system that implements and generates rainfall IDF curves and 2) the web-based system of GIDES project that is responsible to detect landslides; both systems utilise rainfall data as a basis for their analysis (Di Gregório et al 2019). Using the IoT data and available models, the qualified experts of the control room assess the potential for a disaster and then both hydrologist and geologist operators decide whether to send a warning to the National Response Agency.…”