scholarly journals Drought Assessment in São Francisco River Basin, Brazil: Characterization through SPI and Associated Anomalous Climate Patterns

Atmosphere ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 41
Author(s):  
Aline A. Freitas ◽  
Anita Drumond ◽  
Vanessa S. B. Carvalho ◽  
Michelle S. Reboita ◽  
Benedito C. Silva ◽  
...  
Keyword(s):  
River Basin ◽  
Rainy Season ◽  
Hydrological Drought ◽  
Monthly Precipitation ◽  
Pressure System ◽  
Drought Assessment ◽  
Sao Francisco River ◽  
São Francisco River ◽  
Climate Patterns ◽  
Dry Conditions

The São Francisco River Basin (SFRB) is one of the main watersheds in Brazil, standing out for generating energy and consumption, among other ecosystem services. Hence, it is important to identify hydrological drought events and the anomalous climate patterns associated with dry conditions. The Standard Precipitation Index (SPI) for 12 months was used to identify hydrological drought episodes over SFRB 1979 and 2020. For these episodes, the severity, duration, intensity, and peak were obtained, and SPI-1 was applied for the longest and most severe episode to identify months with wet and dry conditions within the rainy season (Nov–Mar). Anomalous atmospheric and oceanic patterns associated with this episode were also analyzed. The results revealed the longest and most severe hydrological drought episode over the basin occurred between 2012 and 2020. The episode over the Upper portion of the basin lasted 103 months. The results showed a deficit of monthly precipitation up to 250 mm in the southeast and northeast regions of the country during the anomalous dry months identified through SPI-1. The dry conditions observed during the rainy season of this episode were associated with an anomalous high-pressure system acting close to the coast of Southeast Brazil, hindering the formation of precipitating systems.

Drought assessment using a TRMM-derived standardized precipitation index for the upper São Francisco River basin, Brazil

2017 ◽  
Vol 189 (6) ◽  
Author(s):  
Celso Augusto Guimarães Santos ◽  
Reginaldo Moura Brasil Neto ◽  
Jacqueline Sobral de Araújo Passos ◽  
Richarde Marques da Silva
Keyword(s):  
River Basin ◽  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Drought Assessment ◽  
Sao Francisco River ◽  
São Francisco River

scholarly journals Pluviometric patterns in the São Francisco River basin in Minas Gerais, Brazil

RBRH ◽  
2021 ◽  
Vol 26 ◽  
Author(s):  
Dawber Batista Ferreira ◽  
Gabriela Rodrigues Barroso ◽  
Marina Salim Dantas ◽  
Karla Lorrane de Oliveira ◽  
Cristiano Christofaro ◽  
...  
Keyword(s):  
River Basin ◽  
Temporal Analysis ◽  
Minas Gerais ◽  
Monthly Precipitation ◽  
Rainy Period ◽  
Sao Francisco River ◽  
São Francisco River ◽  
Rainfall Volume ◽  
Rainfall Patterns ◽  
Monthly Precipitation Data

ABSTRACT This work aimed to evaluate the spatial-temporal variability of precipitation in the Minas Gerais section of the São Francisco River basin, an area of substantial socio-environmental relevance for the country and which has presented recent events of water scarcity. Multivariate and non-parametric statistical analyses were applied to the monthly precipitation data from 131 pluviometric stations, covering a period from 1989 to 2018. The results indicated distinct homogeneous pluviometric regions with greater spatial variability in rainfall patterns in the southern regions of the basin. Results from the temporal analysis indicated seasonality in the rainfall patterns for all seasons, with the rainy period predominantly occurring between October and March for the entire Minas Gerais section of the São Francisco River basin. No rainfall trend was identified in 78% of the stations, with the other stations (22%) showing a trend toward a reduction in rainfall volume.

Meteorological and Hydrological Drought Assessment for Dong Nai River Basin, Vietnam under Climate Change

2021 ◽  
Author(s):  
Vu Thuy Linh ◽  
Vo Ngoc Quynh Tram ◽  
Ho Minh Dung ◽  
Dang Nguyen Dong Phuong ◽  
Nguyen Duy Liem ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Hydrological Drought ◽  
Drought Assessment

scholarly journals Induced reproduction and reproductive characteristics of Rhinelepis aspera Agassiz, 1829 (osteichthyes: Siluriformes, Loricariidae)

1998 ◽  
Vol 41 (3) ◽  
pp. 309-314 ◽  
Author(s):  
Yoshimi Sato ◽  
Nelsy Fenerich-Verani ◽  
José Roberto Verani ◽  
Hugo Pereira Godinho ◽  
Edson Vieira Sampaio
Keyword(s):  
Body Weight ◽  
Water Temperature ◽  
River Basin ◽  
Fertilization Rate ◽  
Pituitary Extract ◽  
Reproductive Characteristics ◽  
Sao Francisco River ◽  
Absolute Fecundity ◽  
São Francisco River

Rhinelepis aspera is the largest Loricariidae species found in the São Francisco river basin where it is now rarely caught. Brooders kept in tanks were hypophysed with crude carp pituitary extract (CCPE). Approximately 82% of the females responded positive to the treatment. The egg was opaque, demersal, round, yellow and adhesive. Egg stripping was done at 212 hour-degrees (= 8.2 h) after application of the second dose of CCPE (water temperature = 25-26 ºC). Hatching of the larvae occurred at 1022 hour-degrees (= 42.2 h), after fertilization of the eggs (water temperature =24-25 ºC). Fertilization rate of the eggs was 72%. Absolute fecundity (AF), initial fertility (IF) and final fertility (FF) in relation to the females' body weight are expressed, respectively, by the equations: AF = - 33993 + 122308 Wt (r² = 0.88), IF = - 14823 + 58619 Wt (r² = 0.71) and FF = - 6553 + 29741 (r² = 0.61)

scholarly journals Digenea of Hoplias intermedius and Hoplias malabaricus (Actinopterygii, Erythrinidae) from upper São Francisco River, Brazil

2015 ◽  
Vol 24 (2) ◽  
pp. 129-135 ◽  
Author(s):  
Danielle Priscilla Correia Costa ◽  
Cassandra Moraes Monteiro ◽  
Marilia Carvalho Brasil-Sato
Keyword(s):  
River Basin ◽  
Feeding Habits ◽  
Minas Gerais ◽  
New Host ◽  
Hoplias Malabaricus ◽  
Parasitic Fauna ◽  
Sao Francisco River ◽  
São Francisco River ◽  
New Location

A total of 103 specimens of Hoplias intermedius (Günther, 1864) and 86 specimens of H. malabaricus (Bloch, 1794) from the upper São Francisco River, State of Minas Gerais were collected between April 2011 and August 2013, and their parasitic fauna were investigated. Four species of Digenea were found: metacercariae of Austrodiplostomum sp., and Ithyoclinostomum sp.; and adult specimens of Phyllodistomum spatula Odhner, 1902, and Pseudosellacotyla lutzi (Freitas, 1941) Yamaguti, 1954. The prevalence of the metacercariae was higher than that of the adult digeneans of erythrinids from the upper São Francisco River as a result of piscivorous feeding habits of these adult erythrinids. The presence of metacercariae and adult digeneans indicate that they act as intermediate and definitive hosts, respectively, in their biological cycles. Hoplias intermedius is a new host for the four species of Digenea, and the São Francisco River basin is a new location for the known geographical distributions of P. spatula and P. lutzi.

scholarly journals Seasonal drought prediction for semiarid northeastern Brazil: verification of six hydro-meteorological forecast products

2018 ◽  
Vol 22 (9) ◽  
pp. 5041-5056 ◽  
Author(s):  
José Miguel Delgado ◽  
Sebastian Voss ◽  
Gerd Bürger ◽  
Klaus Vormoor ◽  
Aline Murawski ◽  
...  
Keyword(s):  
Rainy Season ◽  
Meteorological Drought ◽  
Skill Score ◽  
Hydrological Drought ◽  
Northeastern Brazil ◽  
Drought Indices ◽  
Monthly Precipitation ◽  
Seasonal Forecasts ◽  
Seasonal Drought ◽  
Drought Prediction

Abstract. A set of seasonal drought forecast models was assessed and verified for the Jaguaribe River in semiarid northeastern Brazil. Meteorological seasonal forecasts were provided by the operational forecasting system used at FUNCEME (Ceará's research foundation for meteorology) and by the European Centre for Medium-Range Weather Forecasts (ECMWF). Three downscaling approaches (empirical quantile mapping, extended downscaling and weather pattern classification) were tested and combined with the models in hindcast mode for the period 1981 to 2014. The forecast issue time was January and the forecast period was January to June. Hydrological drought indices were obtained by fitting a multivariate linear regression to observations. In short, it was possible to obtain forecasts for (a) monthly precipitation, (b) meteorological drought indices, and (c) hydrological drought indices. The skill of the forecasting systems was evaluated with regard to root mean square error (RMSE), the Brier skill score (BSS) and the relative operating characteristic skill score (ROCSS). The tested forecasting products showed similar performance in the analyzed metrics. Forecasts of monthly precipitation had little or no skill considering RMSE and mostly no skill with BSS. A similar picture was seen when forecasting meteorological drought indices: low skill regarding RMSE and BSS and significant skill when discriminating hit rate and false alarm rate given by the ROCSS (forecasting drought events of, e.g., SPEI1 showed a ROCSS of around 0.5). Regarding the temporal variation of the forecast skill of the meteorological indices, it was greatest for April, when compared to the remaining months of the rainy season, while the skill of reservoir volume forecasts decreased with lead time. This work showed that a multi-model ensemble can forecast drought events of timescales relevant to water managers in northeastern Brazil with skill. But no or little skill could be found in the forecasts of monthly precipitation or drought indices of lower scales, like SPI1. Both this work and those here revisited showed that major steps forward are needed in forecasting the rainy season in northeastern Brazil.

scholarly journals Evaluation of Eta Model Rainfall Forecasts at São Francisco River Basin in Minas Gerais, Brazil

2016 ◽  
Vol 38 (2) ◽  
pp. 15
Author(s):  
R. M. G. VIEIRA ◽  
C. P. DERECZYNSKI ◽  
S. C. CHOU ◽  
J. L. GOMES ◽  
A. C. PAIVA NETO
Keyword(s):  
River Basin ◽  
Minas Gerais ◽  
Sao Francisco River ◽  
São Francisco River ◽  
Eta Model

Integrated spatiotemporal trends using TRMM 3B42 data for the Upper São Francisco River basin, Brazil

2018 ◽  
Vol 190 (3) ◽  
Author(s):  
Celso Augusto Guimarães Santos ◽  
Reginaldo Moura Brasil Neto ◽  
Richarde Marques da Silva ◽  
Jacqueline Sobral de Araújo Passos
Keyword(s):  
River Basin ◽  
Sao Francisco River ◽  
Spatiotemporal Trends ◽  
São Francisco River ◽  
Trmm 3B42
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