Abstract

ABSTRACT For climate change scenarios, there is a high degree of complexity, with impacts on the future availability of water resources. In this context, studies related to changes in rainfall time series are essential in order to identify environmental vulnerability. The objective of this study was to analyze trends in the rainfall regime, number of rainy days and temperature for stations located at different continentality and altitude conditions in Northeast Brazil. Meteorological data of the Instituto Nacional de Meteorologia were used, being classified according to the location in relation to the continent: coastal strip (14 stations), strip of 150-300 km up to 300 m altitude (14 stations) and above 300 m (five stations), between 400 and 600 km from the coast up to 300 m (four stations) and above 300 m (eight stations). All the 45 stations used have a historical series with a data period of more than 30 years. The trend of rainfall and rainy days was obtained through the Mann-Kendall and regression analyses, at significance levels of 0.01 and 0.05, respectively. There were trends of reduction in the number of rainy days, in the coastal strip, as well as reduction in rainfall and rainy days, both in the strip of 150-300 km from the coast and in the Sertão region, with no significant effect of continentality in the strip of 400-600 km from the coast. For temperature, except for Maceió, AL, Brazil, there is a trend of increase in near future.

Highlights

  • Severe droughts and floods are phenomena related to rainfall variability and can significantly affect agricultural production and the environment, in arid and semiarid regions (Pinheiro et al, 2013; Sun & Ma, 2015).The Intergovernmental Panel on Climate Change (IPCC, 2013) emphasizes that global warming has caused higher variability in rainfall regimes

  • For climate change scenarios, there is a high degree of complexity, with impacts on the future availability of water resources

  • Studies related to changes in rainfall time series are essential in order to identify environmental vulnerability

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Summary

Introduction

Severe droughts and floods are phenomena related to rainfall variability and can significantly affect agricultural production and the environment, in arid and semiarid regions (Pinheiro et al, 2013; Sun & Ma, 2015). The Intergovernmental Panel on Climate Change (IPCC, 2013) emphasizes that global warming has caused higher variability in rainfall regimes. This fact has been observed in the rainfall regimes in Brazil and worldwide, induced by the occurrence of extreme natural phenomena (Carretas, 2014). Pingale et al (2014), investigating the trend of rainfall in 33 cities in the semiarid region of Rajasthan, India, found positive and negative trends. Marcuzzo et al (2012) analyzed data from 37 pluviometric stations with 30 years of data in the state of Goiás, Brazil, and observed that every month had a variation greater than the annual average, indicating greater dispersion. Pingale et al (2014), investigating the trend of rainfall in 33 cities in the semiarid region of Rajasthan, India, found positive and negative trends.

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