Spatial, Seasonal, and Temporal Variations in Rainfall Aggressiveness in the South of Brazil

Abstract

The objective of this study is to evaluate spatial and temporal variations in rainfall aggressiveness in southern Brazil. A total of 181 rain gauge stations located in southern Brazil with rainfall time series from 1976 to 2015 were used. Seasonal and annual rainfall aggressiveness values measured according to the Modified Fournier Index (MFI) were analyzed. The trends in the data series were evaluated using the Mann-Kendall test at a level of significance of 5%. Maps on spatial and seasonal variations in rainfall aggressiveness were prepared. The percentage of rain gauge stations with significant decreasing trends, significant increasing trends, and no significant trends in rainfall aggressiveness between years was 3.3%, 7.7%, and 89.0%, respectively. Moreover, 90% of stations had no significant trends between seasons. There were seasonal differences in rainfall aggressiveness between the three southern states in Brazil caused by rainfall factors. Rainfall aggressiveness was comparatively higher in the west of Santa Catarina and southwest of Paraná due to the rains originating from the mesoscale convective systems predominant in autumn, and in the north coast of Santa Catarina and east coast of Paraná due to convective and orographic precipitations predominant in the summer.

Spatial and temporal dynamics of leptospirosis in South Brazil: A forecasting and nonlinear regression analysis

“…The components of time series analyses were trend element evaluation, seasonality, cyclical variation, association, and random variation. Rio Grande do Sul experiences hotter months from November to April and colder months from May to October [ 19 , 34 ]. In the present study, seasonality was tested to detect whether leptospirosis occurrence was concentrated in some of these months.…”

Evaluación de la Agresividad Climática y Concentración de Precipitaciones en la Cuenca Chancay-Lambayeque, Perú

“…La metodología desarrollada se compone de dos etapas: la primera corresponde a la determinación de la agresividad climática y concentración de precipitaciones, y la segunda etapa consiste en determinar la correlación de los índices con respecto a las altitudes y precipitaciones medias de las estaciones. Esta secuencia metodológica se sustenta en las investigaciones realizadas a nivel de Europa (Vyshkvarkova et al, 2018;Bessaklia et al, 2018;Huang et al, 2018) y Sudamérica (Valdés et al, 2016;Zubieta et al, 2017;Llano, 2018;Ilbay et al, 2019;Back et al, 2019).…”

Spatial and Temporal Distribution of Rainfall Erosivity in Brazilian Amazonia: A Hydrological Perspective Based on Cmorph Technique

“…One of the most critical factors in soil erosion by water is the erosive potential of raindrop impact. The rainfall erosivity factor (R) in the Universal Soil Loss Equation (USLE) is generally of the best parameters for the prediction of the erosive potential of variations in intensity, duration, and frequency of impact of rainfall on soil (NEARING et al, 2017;BACK;GONÇALVES;FAN, 2019).…”