SPATIAL DEPENDENCY ANALYSIS IN RAINFALL STATIONS IN THE SEMI-ARID REGION OF THE SÃO FRANCISCO RIVER BASIN USING GEOSTATISTICS

Authors

DOI:

https://doi.org/10.14393/RCG2610374429

Keywords:

Semivariogram, Spatial variability, Temporal variability, Precipitation

Abstract

Spatial data analysis provides understanding of the territorial scope of measured information that study making it essential to obtain estimates of the occurrence of rainfall in regions. Considering the importance watershed of the São Francisco river of Brazil and for the contribution that spatial data analysis provides, analyzes of the spatial dependence of rainfall measured at rainfall stations were carried out. In order to ascertain the spatial relation of precipitation in the area in question, 231 rain gauge stations were selected from 1968 to 1983 and analyzed through the composition of semivariograms considering the monthly rainfall averages in each year. The results show a large difference in spatial dependence over the years, considering the sixteen years, six did not show spatial dependence (1970, 1971, 1974, 1976, 1978 and 1979), in the ten years that it was possible to adjust the experimental semivariogram model, different values ​​were obtained for the ranges (distances), that is, the spatial relations vary over time. The variability of the spatial structure of rainfall in the region, and the analyzes contributed to understanding that there is variation in influence depending on the year on the behavior of precipitation in the semi-arid region of São Francisco.

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Author Biographies

  • Rosani Brune de Almeida Dias, Universidade Federal do Maranhão

    Bacharel em Estatística pela Universidade Federal do Espírito Santo, Mestre em Engenharia Ambiental Urbana pela Universidade Federal da Bahia, Doutoranda em Educação pela Universidade Federal do Maranhão.

  • Antonio Alves Dias Neto, Universidade Federal do Maranhão

    Graduação em Engenharia Sanitária e Ambiental pela Universidade Federal da Bahia, Mestrado em Engenharia Ambiental Urbana pela Universidade Federal da Bahia, Doutor em Educação pela Universidade Federal Fluminense.

  • Andrea Sousa Fontes, Universidade Federal da Bahia

    Graduação em Engenharia Civil pela Universidade Federal da Bahia, Mestre em engenharia Ambiental Urbana pela Universidade Federal da Bahia, Doutora em Geofísica pela Universidade Federal da Bahia.

Published

2025-02-24

How to Cite

DIAS, Rosani Brune de Almeida; DIAS NETO, Antonio Alves; FONTES, Andrea Sousa. SPATIAL DEPENDENCY ANALYSIS IN RAINFALL STATIONS IN THE SEMI-ARID REGION OF THE SÃO FRANCISCO RIVER BASIN USING GEOSTATISTICS. Caminhos de Geografia, Uberlândia, v. 26, n. 103, p. 138–150, 2025. DOI: 10.14393/RCG2610374429. Disponível em: https://seer.ufu.br/index.php/caminhosdegeografia/article/view/74429. Acesso em: 31 mar. 2025.