Determinação de chuvas intensas nos municípios das regiões nordeste, norte e sul do Brasil utilizando o software pluvio 2.1

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Data
2025-02-27Autor
Silva, João Batista da
http://lattes.cnpq.br/0968725881741914
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In recent decades, under the effects of climate change, the occurrence of heavy rainfall
has gradually increased in various regions of Brazil and around the world, causing
significant social, economic, and environmental damage to affected areas. In this
context, the relationship between the intensity, duration, and frequency of these
extreme precipitation events becomes essential for the development of engineering
projects, as its application can mitigate various climate-related disasters caused by
rainfall, such as floods, inundations, landslides, flash floods, and waterlogging. Based
on this, the general objective of this study is to determine the design rainfall intensities
for various municipalities in the Northeast, North, and South regions of Brazil,
considering different return periods (1, 5, 10, 25, and 50 years) and rainfall durations
of 5, 10, 15, 30, and 45 minutes, as well as 1, 2, 4, 8, 16, and 24 hours, for each return
period. To achieve this, local parameters obtained through the Plúvio 2.1 software,
developed by the Water Resources Research Group at the Federal University of
Viçosa, were used. Currently, the Brazilian standard in force that establishes the
criteria and requirements for stormwater drainage projects is ABNT NBR 10844 from
1989. However, this standard is based on data from a study conducted in 1957, using
98 pluviograph stations distributed across the country, making it outdated for the
current context. Thus, this study aims to develop a more up-to-date and
comprehensive database on heavy rainfall, including the automation of an Excel
spreadsheet that provides information on rainfall intensity, as well as the IDF (IntensityDuration-Frequency) curves and equation for each analyzed location. Finally, the
results obtained were considered satisfactory, as it was possible to compile a database
of 987 municipalities, presented through tables and graphs. However, the need for
further studies was identified.