APLLICATION OF FINE SPATIAL-TEMPORAL SCALE TO THE URBAN FLOODING: PANELS TO CURITIBA-PR, BRAZIL

Authors

  • Francisco de Assis Mendonça Universidade Federal do Paraná (UFPA)
  • Elaiz Aparecida Mensch Buffon Universidade Federal do Paraná (UFPA)

DOI:

https://doi.org/10.12957/geouerj.2019.40943

Keywords:

Atmospheric Systems. Climatic Dynamics. Spatial Analysis. Fine Scale. Curitiba

Abstract

The extreme climatic events associated with rains and floods are at the center of the analysis developed in this text. The spatial-temporal variability of precipitation, coupled with the configuration of two extreme hydrometeorological events / floods in the city of Curitiba-PR, constitutes two case studies used as examples. The selected episodes are due to the performance of MTa (Summer) and FF (Autumn). Data of at least 40 rain automatic and of general climatic data recorded in automatic stations on the hourly scale were used. The data were provided by the National Center for Natural Disaster Monitoring and Alarms (CEMADEN) and the SIMEPAR Technological Institute (Paraná Meteorological System). The methodology employed is based on statistics and the geographic information system for space-time representation, with emphasis on the creation of panels. The results, for Curitiba and its cluster, show that: 1) floods are due to extreme rainfall events, which occur in a short time (hours) and are localized spatially due to the climatic dynamics; 2) extreme rain events, due to FF performance, advance from the south to the center-west and center-east of the area, while the MTa performance represents an advance from east to north, which moves westward and south-west. The spatiotemporal configuration of rainfall in flood episodes shows the importance of the use of fine scale analysis (hourly and minutes) with a dense distribution of seasons.

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Published

2019-04-15

How to Cite

Mendonça, F. de A., & Buffon, E. A. M. (2019). APLLICATION OF FINE SPATIAL-TEMPORAL SCALE TO THE URBAN FLOODING: PANELS TO CURITIBA-PR, BRAZIL. Geo UERJ, (34), e40943. https://doi.org/10.12957/geouerj.2019.40943

Issue

Section

Dossiê de Climatologia da ABClima