Impacts and variability on the urban climate of Recife – Pernambuco, Brazil

Abstract

The objective of this work was to identify monthly and annual oscillations and trends in meteorological variables: maximum and minimum air temperatures, precipitation, and relative humidity, number of rainy days, total sunshine, wind intensity and cloud cover. We used the theoretical probability distribution: Weibull, Log-normal and Logistics to adjust the values ​​of the variables mentioned above. The Kolmogorov-Smirnov test was used to verify the adjustment of the theoretical functions. The study of the spatial temporal behavior of rainfall and monthly, maximum and minimum temperatures, relative humidity, insolation, cloud cover and wind used was acquired from the National Institute of Meteorology, the data period comprising the series from 1962 to 2015. For The determination of the theoretical distributions of probability adjusted to the annual extremes of precipitation, maximum and minimum temperature of the air, total isolation and relative humidity, cloud cover and wind intensity, were used the maximum likelihood methods to estimate the parameters of the distributions. The Kolmogorov-Smirnov test was used to compare the fit and select the best theoretical distributions. The adjustments were also evaluated in graphs. Deforestation of native vegetation for the construction of districts, favelas and buildings above six floors, as well as high burnings, has contributed to the high rates of desertification, silting up rivers, streams, streams, wells, ponds, ponds and lagoons. Water table, causing extreme fluctuations in the contribution of meteorological elements and well-being in urban centers. The Weibull and Logistics distributions were the best fit for precipitation, insolation, relative humidity, minimum temperature and cloud coverage.