Abstract

ABSTRACT The Guaíba lake is located in an area of complex weather variation and is influenced by many atmospheric circulation systems, bringing about violent occluded fronts, and, sometimes, intense precipitation. In Rio Grande do Sul, during El Niño, air temperatures and the precipitation index are higher, contrary to La Niña. Moreover, the Guaíba Lake receives water from the Guaíba's Hydrographical Region, which corresponds to 1/3 of Rio Grande do Sul State, and is thus an important water body to the metropolitan region of Porto Alegre. Methods that seek to understand the behavior of Guaíba lake surface water temperature (LSWT) may lead to relevant information to identify periods of more or less water warming, as well as the relations between LSWT, water quality deterioration and risks to human health. This paper aims to comprehend the behavior of Guaíba LSWT during periods of climatic anomalies (El Niño/La Niña). Therefore, 418 sea surface temperature (SST) images from the MODIS sensor were processed with SeaDas 7.2 software. The quarterly averages of LSWT were obtained and compared to the climatological anomalies in Equatorial Pacific Ocean. LSWT behavior is more complex in El Niño/La Niña periods. The results show that during climatic abnormality periods there are no direct relationship between the warming/cooling of Guaíba LSWT and the warming/cooling of Equatorial Pacific Ocean’s SST. The precipitation indices were more significant to the behavior of LSWT during El Niño periods, but for all periods (of climatic normality and abnormality), air temperature is what most influences LSWT. This relation occurs with climatic factors of water retention time, water entry and precipitation, and air temperature. There is a major correspondence during La Niña periods with the cooling of Guaíba LSWT only for some years. On the other hand, during El Niño periods there are no correspondences of this phenomenon with the warming of Guaíba LSWT. There are only more intense oscillations in surface temperatures than during regular and La Niña periods, but with a tendency to LSWT warming.

Highlights

  • From the 1940s onwards, a concern about environmental changes caused by the intense use of natural resources, in the quality of lake waters, is noted. Collins and Love (1942) examined the adequacy of water quality for uses in industry, agriculture, and for household use, and verified the effects of dissolved substances and suspended materials in water

  • Seasonal variations of phytoplankton are associated with cyclical climate and hydrology recurrences, such as in water temperature, precipitation and fluviometric level; interannual cycles are influenced by climatic (El Niño and La Niña) and anthropic disturbances (CORAZZA, 2015)

  • The Guaíba Lake lake surface water temperature (LSWT) correspond to the sea surface temperature (SST) anomalies of Equatorial Pacific Ocean

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Summary

Introduction

From the 1940s onwards, a concern about environmental changes caused by the intense use of natural resources, in the quality of lake waters, is noted. Collins and Love (1942) examined the adequacy of water quality for uses in industry, agriculture, and for household use, and verified the effects of dissolved substances and suspended materials in water. From the 1940s onwards, a concern about environmental changes caused by the intense use of natural resources, in the quality of lake waters, is noted. Collins and Love (1942) examined the adequacy of water quality for uses in industry, agriculture, and for household use, and verified the effects of dissolved substances and suspended materials in water. This research served as the basis for Blakev’s (2010) study by comparing air temperature data with surface water temperature data. The temperature of a lake is an important driver of the lagoon ecosystem, and has been identified as an indicator of global climate change (RIFFLER; LIEBERHERR; WUNDERLE, 2015). Historical data of lake temperatures include important information for studies about climate change and environmental changes that affect economy and society (GRONEWOLD et al, 2013; RIFFLER et al, 2015). Seasonal variations of phytoplankton are associated with cyclical climate and hydrology recurrences, such as in water temperature, precipitation and fluviometric level; interannual cycles are influenced by climatic (El Niño and La Niña) and anthropic (nutrient increase) disturbances (CORAZZA, 2015)

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