Mobile transect for identification of intra-urban heat islands in Uberlandia, Brazil

  • Valdiney José da Silva Universidade Federal de Uberlândia (UFU), Uberlândia, MG, Brasil Instituto de Geografia (IG).
  • Cláudio Ricardo da Silva Universidade Federal de Uberlândia (UFU), Uberlândia, MG, Brasil Instituto de Ciências Agrárias (ICIAG).
  • Leandro da Silva Almeida Universidade Federal de Uberlândia (UFU), Uberlândia, MG, Brasil Instituto de Ciências Agrárias (ICIAG).
  • Claudionor Ribeiro da Silva Universidade Federal de Uberlândia (UFU), Uberlândia, MG, Brasil Instituto de Geografia (IG).
  • Hudson de Paula Carvalho Universidade Federal de Uberlândia (UFU), Uberlândia, MG, Brasil Instituto de Ciências Agrárias (ICIAG).
  • Reginaldo de Camargo Universidade Federal de Uberlândia (UFU), Uberlândia, MG, Brasil Instituto de Ciências Agrárias (ICIAG).
Keywords: air temperature, urban heat island, winter

Abstract

The “heat island” phenomenon is one of many serious problems caused by rapid urban growth. This study therefore sought to characterize and quantify heat islands in Uberlandia, to evaluate the seasonality of these islands (winter-summer) and to identify the effect of surface coverage on their intensity. To identify intra-urban heat islands in Uberlandia, air temperature data were collected in two seasons (winter and summer) using mobile and fixed transects seasons. Transition measurements were recorded automatically every 0.5 seconds using a car-mounted thermos-hygrometer moving at an average of 40 km h-1. GPS was used to select approximately ten data points every 500 meters of each transect. Fixed weather stations measured air temperature at three sites in the region. Transect data analysis showed that the intra-urban heat islands were more intense in winter (ΔT = 2.2ºC) than in summer (ΔT = 1.2ºC) mainly because by reduction in atmospheric vapor in winter (dry season) and by higher rate of radiative cooling that is favored in permeable areas. The methodology used in the present study proved to be a quick and efficient way to carry out this type of monitoring.


Published
05/07/2018
Section
Papers