Análise De Secas De Regiões Pluviométricas Homogêneas Localizadas No Estado Da Paraíba
DOI:
https://doi.org/10.26848/rbgf.v18.4.p2404-2420Keywords:
Ward, Secas, Método RUN, SemiáridoAbstract
The present work aimed to identify homogeneous rainfall regions in the semi-arid region of
Paraíba and to evaluate the parameters of Severity, Intensity and Duration of droughts for these areas.
For this purpose, rainfall data from 41 stations were used during the period from January 1996 to
December 2021 obtained through the Executive Agency for Water Management of the State of
Paraíba - AESA. Ward's hierarchical method was used in the process of grouping the homogeneous
groups of pluviometry followed by the application of the “RUN” method to obtain the characteristics
of the droughts in these groups. The results revealed the existence of three groups. The regions of
greatest attention in relation to the drought phenomenon correspond to group 1, located in the
mesoregion of the Sertão of Paraíba, as this had the largest area with the highest averages of severity,
averages of intensity and maximum severity when compared to the other groups and group 3, central
region of the state, it presented the maximum values band the highest averages of duration of
droughts. The methodology applied made it possible to have a prognosis of droughts in the semi-arid
region of Paraíba, in order to contribute to improvements in the management of water
resources/natural resources in the regions presented.
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References
Araújo, I. L. D. Análise das frequências de secas na bacia hidrográfica do açude Epitácio Pessoa-PB. 2018.
Ashraf, M.; Ullah, K.; Adnan, S. Satellite based impact assessment of temperature and rainfall variability on drought indices in Southern Pakistan. International Journal of Applied Earth Observation and Geoinformation, 2022. DOI: 10.1016/j.jag.2022.102726
Brasil Neto, R. M.; Santos, C. A. G.; Silva, R. M.; Santos, C. A. C.; Liu, Z.; Quinn, N. W. Geospatial cluster analysis of the state, duration and severity of drought over Paraíba State, northeastern Brazil. Science of the Total Environment 799, 2021. DOI: 10.1016/j.scitotenv.2021.149492.
Chong, K. L.; Huang, Y. F.; Koo, C. H.; Ahmed, A. N.; El-Shafie, A. Spatiotemporal variability analysis of standardized precipitation indexed droughts using wavelet transform. Journal of Hydrology, 605, 2022. DOI: 10.1016/j.jhydrol.2021.127299.
Costa, M. D. S.; Oliveira-Júnior, J. F.; Santos, P. J. D.; Correia Filho, W. L. F.; Gois, G.; Blanco, C. J. C.; Jardim, A. M. D. R. F. Rainfall extremes and drought in northeast Brazil and its relationship with El niño –southern oscillation. International Journal of Climatology. v. 41, p. E2111-E2135, 2021. DOI: 10.1002/joc.6835
Cunha, A. P. M. A.; Zeri, M.; Leal, K. D.; Costa, L.; Cuartas, L. A.; Marengo, J. A.; Tomasella, J.; Vieira, R. M.; Barbosa, A. A.; Cunningham, C.; Garcia, J. V. C.; Broedel, E.; Alvalá, R.; Ribeiro-Neto, G. Extreme Drought Events over Brazil from 2011 to 2019. Atmosphere, v. 10, n. 11, p. 642, 2019. DOI: 10.3390/atmos10110642.
Dracup, J. A.; Lee, K. S.; Paulson, Edwin, G. On the statistical characteristics of drought events. Water resources research. v. 16, n. 2, p. 289-296, 1980. DOI: 10.1029/WR016i002p00289.
Duarte, J. G. P.; Farias, A. A.; Sousa, F. A. S.; Souza, J. T. A.; Ramos, M. M. Q. Secas e impactos na agropecuária no município de Campina Grande – PB. Revista Brasileira de Meteorologia. v. 33, p. 289-297, 2018. DOI: 10.1590/0102-7786332008.
Francisco, P. R. M.; Pereira, F. C.; Brandão, Z. N.; Zonta, J. H.; Santos, D.; Silva, J. V. N. Mapeamento da aptidão edáfica para fruticultura segundo o zoneamento agropecuário do Estado da Paraíba. Revista Brasileira de Geografia Física. v. 8, n. 02, p. 377-390, 2015.
Gonçalves, S. T. N.; Vasconcelos Junior, F. C.; Sakamoto, M. S.; Silveira, C. S.; Martins, E. S. P. R. Índices e Metodologias de Monitoramento de Secas: Uma Revisão. Revista Brasileira de Meteorologia. v. 36, p. 495-511, 2021. DOI: 10.1590/0102-7786363000
Kousky, V. E., & Alonso Gan, M. Upper tropospheric cyclonic vortices in the tropical South Atlantic. Tellus, v. 33, n. 6, p. 538-551, 1981. DOI: 10.3402/tellusa.v33i6.10775
Macedo, M. J. H.; Guedes, R. V. S.; Souza, F. A. S.; Dantas, F. R. C. Análise do índice padronizado de precipitação para o estado da Paraíba, Brasil. Ambiente & Água-An Interdisciplinary Journal of Applied Science. v. 5, n. 1, p. 204-214, 2010. DOI: 10.4136/ambi-agua.130
Marengo, J. A., Souza Jr, C. M., Thonicke, K., Burton, C., Halladay, K., Betts, R. A., ... & Soares, W. R. Changes in climate and land use over the Amazon region: current and future variability and trends. Frontiers in Earth Science, p. 228, 2018. DOI: 10.3389/feart.2018.00228
Melo, V. S. Estudo da precipitação no estado da Paraíba usando análises de séries temporais. p. 122, 2022.
Melo, V. S.; Sousa, F. A. S. Análise de frequências de secas utilizando técnica de agrupamento e distribuições de probabilidades. Engenharia Sanitária e Ambiental. v. 26, p. 53-60, 2021. DOI: 10.1590/S1413-4152193499
Monteiro, J. B. A influência de teleconexões e sistemas meteorológicos produtores de precipitação no semiárido nordestino. Revista Brasileira de Geografia Física. v. 15, n. 01, p. 312-332, 2022.
Morais, M. D. C.; Oliveira, F. P.; Coutinho, M. D. L. One case of simulation of Upper Tropospheric Cyclonic vortex in the Brazil Northeast – impact in the convection parameterization. Journal of Hyperspectral Remote Sensing. v. 5, n. 1, p. 027-044, 2015. DOI: 10.29150/jhrs.v5.1.p027-044
Nobre, C. A.; L. C. B. Molion. The effects of climatic variations on agriculture in Northeast Brazil: The climatology of droughts prediction. The Impact of Climatic Variations on Agriculture: Assessments in Semi-Arid Regions. M. L. Parry, T. R. Carter, N. T. Konijin, Eds. Kluwer Academic, p. 305–323, 1988.
Oliveira-Júnior, J. F.; Gois, G.; Silva, I. J. L.; Souza, E. O.; Jardim, A. M. R. F.; Silva, M. V. S.; Shah, M.; Jamjareegulgarn, P. Wet and dry periods in the state of Alagoas (Northeast Brazil) via Standardized Precipitation Index. Journal of Atmospheric and Solar–Terrestrial Physics. v. 224, p. 105746, 2021. DOI: 10.1016/j.jastp.2021.105746
Ramirez, M. C. V. Padrões climáticos dos vórtices ciclônicos em altos níveis no Nordeste do Brasil. Dissertação (Mestrado). São José dos Campos, INPE, 1997.
Ramirez, M.C.V., Kayano, M. T., Ferreira, N. J. Statistical analysis of upper tropospheric vortices in the vicinity of northeast Brazil during the 1980-1989. Atmosfera. v. 12, n. 2, p. 75-88, 1999. DOI: 10.1590/S0102-261X1999000100017
Saha, A.; Pal, S.C.; Chowdhuri, I.; Roy, P.; Chakrabortty, R.; Shit, M. Vulnerability assessment of drought in India: Insights from meteorological, hydrological, agricultural and socio-economic perspectives. Gondwana Research. 2022. DOI: 10.1016/j.gr.2022.11.006
Samantaray, A.K.; Ramadas, M.; Panda, R.K. Changes in drought characteristics based on rainfall pattern drought index and the CMIP6 multi-model ensemble. Agricultural Water Management. v. 266, p. 107568, 2022. DOI: 10.1016/j.agwat.2022.107568
Santana, L.V.R.; Silva, A.S.A. Análise de agrupamento da velocidade do vento no Nordeste do Brasil. Sigmae. v. 8, n. 2, p. 481-489, 2019.
Santos, E. F. N.; Sousa, I. F.; Leite, I. V. Regiões Homogêneas em Sergipe Agrupadas Através dos Índices Climáticos. Revista Brasileira de Meteorologia. v. 37, p. 477-489, 2023. DOI: 10.1590/0102-77863740053
Silva, J. L. B.; Moura, G. B. A.; Silva, M. V.; Oliveira-Júnior, J. F.; Jardim, A. M. R. F.; Refati, D. C.; Lima, R. C. C.; Carvalho, A. A.; Ferreira, M. B.; Brito, J. I. B.; Guedes, R. V. S.; Lopes, P. M. O.; Nóbrega, R. S.; Pandorfi, H.; Bezerra, A. C.; Batista, P. H. D.; Jesus, F. L. F.; Sanches, A. C.; Santos, R. C. Environmental degradation of vegetation cover and water bodies in the semiarid region of the Brazilian Northeast via cloud geoprocessing techniques applied to orbital data. Journal of South American Earth Sciences. v. 121, p. 104164, 2023. DOI: 10.1016/j.jsames.2022.104164
Souza, B. S., Cantalice, W. L., Braga, C. C., Silva, M. T., & Silva, E. A. Response of the EVI Vegetation Index to precipitation anomalies in the State of Paraíba. Journal of Hyperspectral Remote Sensing. v. 12, n. 1, p. 10-19, 2022. DOI: 10.29150/2237-2202.2022.252412
Souza, B. S.; de Melo, M. H. B.; da Silva Araújo, F.; de Araújo, L. D. Avaliação das Estimativas de Precipitação pelo Satélite TRMM. RECIMA21-Revista Científica Multidisciplinar. v. 4, n. 5, p. e453101-e453101, 2023. DOI: 10.47820/recima21.v4i5.3101
Xavier Júnior, S. F. A.; Xavier, É. F. M.; Jale, J. S.; Stosic, T.; Santos, C. A. C. S. Multiscale entropy analysis of monthly rainfall time series in Paraíba, Brazil. Chaos, Solitons & Fractals. v. 151, p. 111296, 2021. DOI: 10.1016/j.chaos.2021.111296
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Copyright (c) 2025 Bárbara Silva Souza, Maria José Herculano Macedo, Francisco de Assis Salviano de Sousa
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