Rainfall and Extreme Drought Detection: An Analysis for a Potential Agricultural Region in the Southern Brazilian Amazon

Rogério De Souza Silva, Rivanildo Dallacort, Ismael Cavalcante Maciel Junior, Marco Antonio Camillo De Carvalho, Oscar Mitsuo Yamashita, Dthenifer Cordeiro Santana, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro () and Carlos Antonio da Silva Junior ()
Additional contact information
Rogério De Souza Silva: PPGBioAgro, State University of Mato Grosso (UNEMAT), Alta Floresta 78580-000, Mato Grosso, Brazil
Rivanildo Dallacort: PPGBioAgro, State University of Mato Grosso (UNEMAT), Tangará da Serra 78301-532, Mato Grosso, Brazil
Ismael Cavalcante Maciel Junior: PPGBioAgro, State University of Mato Grosso (UNEMAT), Alta Floresta 78580-000, Mato Grosso, Brazil
Marco Antonio Camillo De Carvalho: PPGBioAgro, State University of Mato Grosso (UNEMAT), Alta Floresta 78580-000, Mato Grosso, Brazil
Oscar Mitsuo Yamashita: PPGBioAgro, State University of Mato Grosso (UNEMAT), Alta Floresta 78580-000, Mato Grosso, Brazil
Dthenifer Cordeiro Santana: Department of Agronomy, Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul 79560-000, Mato Grosso do Sul, Brazil
Larissa Pereira Ribeiro Teodoro: Department of Agronomy, Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul 79560-000, Mato Grosso do Sul, Brazil
Paulo Eduardo Teodoro: Department of Agronomy, Federal University of Mato Grosso do Sul (UFMS), Chapadão do Sul 79560-000, Mato Grosso do Sul, Brazil
Carlos Antonio da Silva Junior: Department of Geography, State University of Mato Grosso (UNEMAT), Sinop 78550-000, Mato Grosso, Brazil

Sustainability, 2024, vol. 16, issue 14, 1-18

Abstract: In recent decades, the main commercial crops of Mato Grosso, such as soybeans, corn, and cotton, have been undergoing transformations regarding the adoption of new technologies to increase production. However, regardless of the technological level, the climate of the region, including the rainfall regime, can influence the success of crops and facilitate, or not, the maximum production efficiency. This study aimed to define the behavior of the variability in monthly and annual rainfall and its probability of monthly occurrence and calculate the drought index for the northwestern region of Mato Grosso, in the southern region of the Brazilian Amazon. To carry out the study, daily rainfall records were collected, calculating the totals for each month of the historical series for each of the four National Water and Sanitation Agency (ANA) rain gauge stations, Aripuanã (1985–2020), Colniza (2001–2020), Cotriguaçu (2004–2020), and Juína (1985–2020), representing the northwestern region. The annual distribution of rainfall during the periods studied ranged from 1376.2 to 3017.3 mm. The monthly distribution indicated a typical water shortage in the months of June, July, and August. The probability of rainfall near the average for each month was more than 50%. The monthly SPI-1 index revealed a total of 56 months affected by very dry events and 34 extreme dry events. The annual SPI-12 index pointed to seven very dry years and five extremely dry years. Therefore, the region presented high rainfall rates in most years; however, a significant process of drought was also observed, including in rainy months, which are the periods with the greatest demand for the main agricultural crops.

Keywords: agriculture; productive potential; agricultural drought (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/14/5959/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/14/5959/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:14:p:5959-:d:1433958

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().