Water Balance and Climate of the Ipojuca River Water Basin – Pernambuco, Brazil

The objective is to carry out the analysis of the climatic water balance and make a comparison between the municipalities surrounding the Ipojuca River basin, using the applications of climatic indices and aridity. The study area is the Ipojuca River – Pernambuco river basin, made up of twenty-seven municipalities. The rainfall data were provided by the Water and Climate Agency of the State of Pernambuco and thermal data were estimated by the Estima_T software corresponding to the years 1962 to 2018. For the climatic and agricultural suitability analysis, climatic indices of aridity and water availability were applied to the vegetation. The aridity index was calculated using the UNEP formulation, the climatic classifications, using the aridity index or dry month, recommended by Gaussen. Municipalities with higher altitudes provide conditions for better natural development of vegetation followed by greater potential for the development of agricultural activities, when compared to municipalities at lower altitudes. A marked change was observed between the climatic conditions of municipalities with high and low altitudes in the basin area, with emphasis on water deficits and high temperatures. Marked disputes between climate variability in municipalities at higher and lower altitudes were recorded in water deficits and inter-municipal thermal fluctuations.

Authors

Institutions

Publication Details

Journal
Journal of Hyperspectral Remote Sensing
Published
2025-01-16
DOI
https://doi.org/10.29150/jhrs.v14i2.263676
Primary Topic
Fish biology, ecology, and behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Water Balance and Climate of the Ipojuca River Water Basin – Pernambuco, Brazil

Raimundo Mainar de Medeiros
Journal of Hyperspectral Remote Sensing
Fish biology, ecology, and behavior
article

Water Balance and Climate of the Ipojuca River Water Basin – Pernambuco, Brazil

Raimundo Mainar de Medeiros
article en

Abstract

The objective is to carry out the analysis of the climatic water balance and make a comparison between the municipalities surrounding the Ipojuca River basin, using the applications of climatic indices and aridity. The study area is the Ipojuca River – Pernambuco river basin, made up of twenty-seven municipalities. The rainfall data were provided by the Water and Climate Agency of the State of Pernambuco and thermal data were estimated by the Estima_T software corresponding to the years 1962 to 2018. For the climatic and agricultural suitability analysis, climatic indices of aridity and water availability were applied to the vegetation. The aridity index was calculated using the UNEP formulation, the climatic classifications, using the aridity index or dry month, recommended by Gaussen. Municipalities with higher altitudes provide conditions for better natural development of vegetation followed by greater potential for the development of agricultural activities, when compared to municipalities at lower altitudes. A marked change was observed between the climatic conditions of municipalities with high and low altitudes in the basin area, with emphasis on water deficits and high temperatures. Marked disputes between climate variability in municipalities at higher and lower altitudes were recorded in water deficits and inter-municipal thermal fluctuations.

Journal of Hyperspectral Remote SensingVol. 14(2)
Universidade Federal Rural de Pernambuco (BR)
Openalex Percentile: Top 99%
Fish biology, ecology, and behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.