Due to the scarcity of studies linking the variability of rainfall and population growth in the capital cities of Northeastern Brazil (NEB), the purpose of this study is to evaluate the variability and multiscale interaction (annual and seasonal), and in addition, to detect their trends and the impact of urban growth. For this, monthly rainfall data between 1960 and 2020 were used. In addition, the detection of rainfall trends on annual and seasonal scales was performed using the Mann–Kendall (MK) test and compared with the phases of El Niño-Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO). The relationship between population growth data and rainfall data for different decades was established. Results indicate that the variability of multiscale urban rainfall is directly associated with the ENSO and PDO phases, followed by the performance of rain-producing meteorological systems in the NEB. In addition, the anthropic influence is shown in the relational pattern between population growth and the variability of decennial rainfall in the capitals of the NEB. However, no capital showed a significant trend of increasing annual rainfall (as in the case of Aracaju, Maceió, and Salvador). The observed population increase in the last decades in the capitals of the NEB and the notable decreasing trend of rainfall could compromise the region’s water security. Moreover, if there is no strategic planning about water bodies, these changes in the rainfall pattern could be compromising.

Forest fires destroy productive land throughout the world. In Brazil, mainly the Northeast of Brazil (NEB) is strongly affected by forest fires and bush fires. Similarly, there is no adequate study of long-term data from ground and satellite-based estimation of fire foci in NEB. The objectives of this study are: (i) to evaluate the spatiotemporal estimation of fires in NEB biomes via environmental satellites during the long term over 1998–2018, and (ii) to characterize the environmental degradation in the NEB biomes via orbital products during 1998–2018, obtained from the Burn Database (BDQueimadas) for 1794 municipalities. The spatiotemporal variation is estimated statistically (descriptive, exploratory and multivariate statistics) from the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Standardized Precipitation Index (SPI) through the Climate Hazards Group InfraRed Precipitation Station (CHIRPS). Moreover, we identify 10 homogeneous groups of fire foci (G1–G10) with a total variance of 76.5%. The G1 group is the most extended group, along with the G2 group, the exception being the G3 group. Similarly, the G4–G10 groups have a high percentage of hotspots, with more values in the municipality of Grajaú, which belongs to the agricultural consortium. The gradient of fire foci from the coast to the interior of the NEB is directly associated with land use/land cover (LULC) changes, where the sparse vegetation category and areas without vegetation are mainly involved. The Caatinga and Cerrado biomes lose vegetation, unlike the Amazon and Atlantic Forest biomes. The fires detected in the Cerrado and Atlantic Forest biomes are the result of agricultural consortia. Additionally, the two periods 2003–2006 and 2013–2018 show periods of severe and prolonged drought due to the action of El Niño.

Analysis of the correlations between NO, NO2 and O3 concentrations in Campo Grande – MS, Brazil

OBJETIVO: Estudar a relação existente entre a o número de internações por doenças do aparelho respiratório em lactentes, crianças e adultos e as variações meteorológicas na cidade de Campo Grande (MS). MÉTODOS Foram utilizados dados diários de internações por doenças respiratórias, precipitação, temperatura do ar, umidade e velocidade dos ventos entre 2004 e 2008. Foram calculados os índices de conforto térmico humano, temperatura efetiva e temperatura efetiva com velocidade do vento com base nas variáveis meteorológicas. Foram realizados modelos lineares generalizados utilizando o modelo múltiplo de regressão de Poisson para predizer as internações por doenças respiratórias. RESULTADOS: Foram observados valores relativamente elevados dos coeficientes de correlação entre as variáveis estudadas e internações por pneumonia em crianças (R² = 68,4%), lactentes (R² = 71,8%) e adultos (R² = 81,8%). CONCLUSÕES: Os resultados aqui apresentados indicam em termos quantitativos o risco para um aumento no número de hospitalizações de crianças, lactentes e adultos de acordo com o aumento ou a diminuição das temperaturas, umidade, precipitação, velocidade dos ventos e índice de conforto térmico na cidade de Campo Grande.