Precipitation buoyancy in the Ipojuca river basin area as a feeder source for hydrological systems

Raimundo Mainar de Medeiros 1, *, Romildo Morant de Holanda 1, Moacyr Cunha Filho 1, Victor Casimiro Piscoya 1, Alex Morais de Souza 1, Manoel Vieira de França 1 and Wagner Rodolfo de Araújo 2

1 Federal Rural University of Pernambuco, Brazil.
2 Estacio de Sa University, Brazil.
 
Review
International Journal of Science and Research Archive, 2022, 07(01), 090–097.
Article DOI: 10.30574/ijsra.2022.7.1.0192
Publication history: 
Received on 05 August 2022; revised on 12 September 2022; accepted on 14 September 2022
 
Abstract: 
Precipitation has a chance to spread heterogeneously across the globe, the altercations between the radiation balance in the zonal bands and the association with atmospheric dynamics make it possible to distinguish the globally diffused rainfall regimes. The objective is to statistically analyze the buoyancy of precipitation in the area of ​​the Ipojuca River basin - PE as a feeder source for the hydrological systems of the State of Pernambuco. Simplified statistical parameters were used to calculate mean, standard deviation, coefficient of variance, maximum and minimum absolute rainfall, annual rainfall amplitude and its anomalies for the period 1962-2017. There is increasing variability of annual and monthly precipitation. The variability is greatest during the spring and summer seasons and lowest in the winter and autumn seasons. Positive and negative anomalies were recorded in 7 and 18 municipalities respectively. Knowledge of local weather conditions on the occurrence of extreme rainfall events allows for the improvement of seasonal forecasts, and helps decision-makers in government agencies to avoid or minimize natural disasters. It is verified that the local rainfall pattern is under the influence of several precipitating systems that contribute to the quantity of local precipitation and their contributions are interconnected to the local and regional meso and micro scale systems, interacting with the use and land cover.
 
Keywords: 
Predictability and sustainability; Climate variability; Precipitation anomalies; Rainfall regimes
 
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