scholarly journals Inter-annual variability of rainfalls in the Amazon basin and its vicinity

MAUSAM ◽  
2021 ◽  
Vol 58 (3) ◽  
pp. 351-360
Author(s):  
R. P. KANE

An analysis of the rainfall series (12-month running means) of the 5° × 5° gridded data in the Amazon river basin and its vicinity (15° N – 20° S, 30° - 80° W) indicated that the rainfalls were highly variable both from year to year and from region to region. Correlations with even nearby regions hardly exceeded 0.50, though correlations were better (up to 0.70) in the regions near the eastern coast of Brazil. Moderate relationship with ENSO indices was obtained for the Amazon river basin and the regions to its north, and for NE Brazil, while moderate relationship with South Atlantic SST was obtained for NE Brazil and the region immediately to its west. All other relationships (with 30 hPa wind, North Atlantic Oscillation Index, etc.) were obscure.

2017 ◽  
Vol 50 (7-8) ◽  
pp. 2951-2969 ◽  
Author(s):  
Alejandro Builes-Jaramillo ◽  
Norbert Marwan ◽  
Germán Poveda ◽  
Jürgen Kurths

2007 ◽  
Vol 5 (4) ◽  
pp. 429-434 ◽  
Author(s):  
Mónica S. Rodriguez ◽  
Roberto E. Reis

Acestridium triplax, new species, is described from the Amazon River basin in Pará State, Brazil. The new species can be distinguished from all its congeners by having one series of middle abdominal plates between the lateral abdominal plates (vs no abdominal plates between the lateral abdominal plates).


Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1244
Author(s):  
Victor Hugo da Motta Paca ◽  
Gonzalo Espinoza-Dávalos ◽  
Daniel Moreira ◽  
Georges Comair

The Amazon River Basin is the largest rainforest in the world. Long-term changes in precipitation trends in the basin can affect the continental water balance and the world’s climate. The precipitation trends in the basin are not spatially uniform; estimating these trends only at locations where station data are available has an inherent bias. In the present research, the spatially distributed annual precipitation trends were studied in the Amazon River Basin from the year 1981 to 2017 using the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) product. The precipitation trends were also cross-validated at locations where station data were available. The research also identifies clusters within the basin where trends showed a larger increase (nine clusters) or decrease in precipitation (10 clusters). The overall precipitation trend in the Amazon River Basin over 37 years showed a 2.8 mm/year increase, with a maximum of 45.1 mm/year and minimum of −37.9 mm/year. The highest positive cluster was in Cuzco in the Ucayali River basin, and the lowest negative was in Santa Cruz de la Sierra, in the upstream Madeira River basin. The total volume of the incoming precipitation was 340,885.1 km3, with a withdrawal of −244,337.1 km3. Cross-validation was performed using 98 in situ stations with more than 20 years of recorded data, obtaining an R2 of 0.981, a slope of 1.027, and a root mean square error (RMSE) of 363.6 mm/year. The homogeneous, standardized, and continuous long-term time series provided by CHIRPS is a valuable product for basins with a low-density network of stations such as the Amazon Basin.


Gigabyte ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Alexandre Wagner Silva Hilsdorf ◽  
Marcela Uliano-Silva ◽  
Luiz Lehmann Coutinho ◽  
Horácio Montenegro ◽  
Vera Maria Fonseca Almeida-Val ◽  
...  

2021 ◽  
Author(s):  
Suyog Chaudhari ◽  
Erik Brown ◽  
Raul Quispe-Abad ◽  
Emilio Moran ◽  
Norbert Mueller ◽  
...  

<p>Given the ongoing and planned hydropower development projects in the Amazon River basin, appalling losses in biodiversity, river ecology and river connectivity are inevitable. These hydropower projects are proposed to be built in exceptionally endemic sites, setting records in environmental losses by impeding fish movement, altering flood pulse, causing large-scale deforestation, and increasing greenhouse gas emissions. With the burgeoning energy demand combined with the aforementioned negative impacts of conventional hydropower technology, there is an imminent need to re-think the design of hydropower to avoid the potentially catastrophic consequences of large dams. It is certain that the Amazon will undergo some major hydrological changes in the near future because of the compounded effects of climate change and proposed dams, if built with the conventional hydropower technology. In this study, we present a transformative hydropower outlook that integrates low-head hydropower technology (e.g., in-stream turbines) and multiple environmental aspects, such as river ecology and protected areas. We employ a high resolution (~2km) continental scale hydrological model called LEAF-Hydro-Flood (LHF) to assess the in-stream hydropower potential in the Amazon River basin. We particularly focus on quantifying the potential and feasibility of employing instream turbines in the Amazon instead of building large dams. We show that a significant portion of the total energy planned to be generated from conventional hydropower in the Brazilian Amazon could be harnessed using in-stream turbines that utilize kinetic energy of water without requiring storage. Further, we also find that implementing in-stream turbines as an alternative to large storage-based dams could prove economically feasible, since most of the environmental and social costs associated with dams are eliminated. Our results open multiple pathways to achieve sustainable hydropower development in the Amazon to meet the ever-increasing energy demands while minimizing hydrological, social, and ecological impacts. It also provides important insight for sustainable hydropower development in other global regions. The results presented are based on a manuscript under revision for Nature Sustainability.</p>


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Victor Hugo da Motta Paca ◽  
Gonzalo E. Espinoza-Dávalos ◽  
Tim M. Hessels ◽  
Daniel Medeiros Moreira ◽  
Georges F. Comair ◽  
...  

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