scholarly journals Flood-tracking chart for the Withlacoochee and Little River Basins in south-central Georgia and northern Florida

2014 ◽  
Author(s):  
Anthony J. Gotvald ◽  
Brian E. McCallum ◽  
Jaime A. Painter
Keyword(s):  
Author(s):  
Nguyen Huu Xuan ◽  
Nguyen An Thinh

This research aims to set a foundation for the establishment of the Ba and Kon river basins’ regional linkages between the Central Highlands and the South Central region according to the value chain of plantation timber and sugarcane. The research uses data collection and statistical analysis methods to establish a database for linking planting, processing, and consumption of plantation timber and sugarcane. The research adopts the Rural Rapid Assessment (RRA) method to assess the efficiency of wood linkages along the value chain of plantation timber goods and uses SWOT analysis to assess strengths, weaknesses, opportunities and challenges for regional linkages of the plantation timber value chain. The research results show that the Ba and Kon river basins have great potentials for the production of sugarcane and plantation timber. In these basins, there have been many models linking along the value chain of goods, linking the stages of production, purchase, transportation, processing, and consumption in order to increase the value of goods. The study has established areas specializing in sugarcane cultivation and concentrated planted forest areas with wood processing factories, and sugar factories in these two river basins. Regional linkages in the basins of the Ba and Kon rivers for the plantation timber and sugar cane value chain are established according to a number of major traffic routes such as national roads 19, 19C, 25 and 29.


2021 ◽  
pp. 1-15
Author(s):  
Fernando Peña-Cortés ◽  
Cristian Vergara-Fernández ◽  
Jimmy Pincheira-Ulbrich ◽  
Francisco Aguilera-Benavente ◽  
Natalia Gallardo-Alvarez

2021 ◽  
Vol 13 (13) ◽  
pp. 2543
Author(s):  
Ikechukwu Kalu ◽  
Christopher E. Ndehedehe ◽  
Onuwa Okwuashi ◽  
Aniekan E. Eyoh

In large freshwater river basins across the globe, the composite influences of large-scale climatic processes and human activities (e.g., deforestation) on hydrological processes have been studied. However, the knowledge of these processes in this era of the Anthropocene in the understudied hydrologically pristine South Central African (SCA) region is limited. This study employs satellite observations of evapotranspiration (ET), precipitation and freshwater between 2002 and 2017 to explore the hydrological patterns of this region, which play a crucial role in global climatology. Multivariate methods, including the rotated principal component analysis (rPCA) were used to assess the relationship of terrestrial water storage (TWS) in response to climatic units (precipitation and ET). The use of the rPCA technique in assessing changes in TWS is warranted to provide more information on hydrological changes that are usually obscured by other dominant naturally-driven fluxes. Results show a low trend in vegetation transpiration due to deforestation around the Congo basin. Overall, the Congo (r2 = 76%) and Orange (r2 = 72%) River basins maintained an above-average consistency between precipitation and TWS throughout the study region and period. Consistent loss in freshwater is observed in the Zambezi (−9.9 ± 2.6 mm/year) and Okavango (−9.1 ± 2.5 mm/year) basins from 2002 to 2008. The Limpopo River basin is observed to have a 6% below average reduction in rainfall rates which contributed to its consistent loss in freshwater (−4.6 ± 3.2 mm/year) from 2006 to 2012.Using multi-linear regression and correlation analysis we show that ET contributes to the variability and distribution of TWS in the region. The relationship of ET with TWS (r = 0.5) and rainfall (r = 0.8) over SCA provides insight into the role of ET in regulating fluxes and the mechanisms that drive precipitation in the region. The moderate ET–TWS relationship also shows the effect of climate and anthropogenic influence in their interactions.


Sign in / Sign up

Export Citation Format

Share Document