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Brazil and Climate Change:


        Government Technological Strategies




        On April 27, 2024, the first heavy rains began in the   To assist in agile decision-making and provide quick
        state of Rio Grande do Sul, Brazil. From that date, the   aid to the population, the use of cloud technologies
        southernmost state of the Brazilian territory started   enabled the rapid resumption of processes that helped
        experiencing soil saturation and the rise of the main   governments act quickly and precisely to meet the
        river basins in the region.                       population's needs.

        The technological infrastructure of the state and
        municipalities ceased to function because their
        structures were underwater. As a result, internal and
        external communication was hampered, and decision-
        making was hindered by the information generated
        during the catastrophe.








        During the heavy rains, 471 cities were
        affected by floods, more than 200 people
        died, over 600,000 people had to leave their
        homes and 80,000 people had to stay in
        temporary shelters. On average, 95% of the
        state's economy was impacted, with $300
        million in uncollected taxes.









        Thus, Codex and Esri made their technological structure available in ArcGIS to assist in the resumption of
        technology use in government structures. Over 30 days, 17 applications were implemented in the operational
        flow during the floods. These technologies supported the following government decisions:






                 Logistics organization of rescues;            Visibility of affected immigrants;


                 Monitoring of dam breaches;                   Prediction of areas that could be affected by

                                                               water levels rising in cities;

                 Providing an overview of the before
                 and after of affected areas, facilitating     Monitoring of blocked roads
                 faster reconstruction in the most
                 impacted regions;

                 Locations of public infrastructure            Estimation of the number of people/families
                 impact estimates                              that could be affected by neighborhoods;



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