Nile River (and White Nile)

2014 ◽  
Keyword(s):  
Nile River ◽  
White Nile

scholarly journals The Role of Spatial Analysis in Detecting the Consequence of the Factory Sites : Case Study of Assalaya Factory-Sudan

2018 ◽  
Vol 31 ◽  
pp. 12004
Author(s):  
Amar Sharaf Eldin Khair ◽  
Purwanto ◽  
Henna RyaSunoko ◽  
Omer Adam Abdullah
Keyword(s):  
Spatial Analysis ◽  
Analysis Data ◽  
Geographical Information ◽  
Nile River ◽  
Digital Elevation ◽  
White Nile ◽  
Elevation Model ◽  
Factory Site

Spatial analysis is considered as one of the most important science for identifying the most appropriate site for industrialization and also to alleviate the environmental ramifications caused by factories. This study aims at analyzing the Assalaya sugarcane factory site by the use of spatial analysis to determine whether it has ramification on the White Nile River. The methodology employed for this study is Global Position System (GPS) to identify the coordinate system of the study phenomena and other relative factors. The study will also make use Geographical Information System (GIS) to implement the spatial analysis. Satellite data (LandsatDem-Digital Elevation Model) will be considered for the study area and factory in identifying the consequences by analyzing the location of the factory through several features such as hydrological, contour line and geological analysis. Data analysis reveals that the factory site is inappropriate and according to observation on the ground it has consequences on the White Nile River. Based on the finding, the study recommended some suggestions to avoid the aftermath of any factory in general. We have to take advantage of this new technological method to aid in selecting most apt locations for industries that will create an ambient environment.

Rapid adaptive radiation in a hillstream cyprinid fish in the East African White Nile River basin

2021 ◽  
Author(s):  
Boris Levin ◽  
Evgeniy Simonov ◽  
Paolo Franchini ◽  
Nikolai Mugue ◽  
Alexander Golubtsov ◽  
...  
Keyword(s):  
River Basin ◽  
Adaptive Radiation ◽  
Cyprinid Fish ◽  
Nile River ◽  
East African ◽  
Nile River Basin ◽  
White Nile

Ethiopia, the Sudan, and Egypt: The Nile River Dispute

1997 ◽  
Vol 35 (4) ◽  
pp. 675-694 ◽  
Author(s):  
ASHOK SWAIN
Keyword(s):  
Nile Blue ◽  
River System ◽  
Eastern Africa ◽  
Nile River ◽  
Seasonal Fluctuations ◽  
Blue Nile ◽  
North Eastern ◽  
The World ◽  
White Nile ◽  
International River

The Nile flows for 6,700 kilometres through ten countries in north-eastern Africa – Rwanda, Burundi, Zaïre/Congo, Tanzania, Kenya, Uganda, Eritrea, Ethiopia, the Sudan, and Egypt – before reaching the Mediterranean, and is the longest international river system in the world – see Map 1. Its two main tributaries converge at Khartoum: the White Nile, which originates from Burundi and flows through the Equatorial Lakes, provides a small but steady flow that is fed by the eternal snows of the Ruwenzori (the ‘rain giver’) mountains, while the Blue Nile, which suffers from high seasonal fluctuations, descends from the lofty Ethiopian ‘water tower’ highlands. They provide 86 per cent of the waters of the Nile – Blue Nile 59 per cent, Baro-Akobo (Sobat) 14 per cent, Tekesse (Atbara) 13 per cent – while the contribution from the Equatorial Lakes region is only 14 per cent.

scholarly journals Prevalence, risk factors, and clinical manifestations of schistosomiasis among school children in the White Nile River basin, Sudan

2014 ◽  
Vol 7 (1) ◽  
Author(s):  
Hassan Ahmed Hassan Ahmed Ismail ◽  
Sung-Tae Hong ◽  
Azza Tag Eldin Bashir Babiker ◽  
Randa Mohamed Abd Elgadir Hassan ◽  
Mohammed Ahmed Zakaria Sulaiman ◽  
...  
Keyword(s):  
Risk Factors ◽  
River Basin ◽  
School Children ◽  
Clinical Manifestations ◽  
Nile River ◽  
Nile River Basin ◽  
White Nile

Retrospective Analysis and Bayesian Model Averaging of CMIP6 Precipitation in the Nile River Basin

2020 ◽  
Author(s):  
Mohammed Ombadi ◽  
Phu Nguyen ◽  
Soroosh Sorooshian ◽  
Kuo-lin Hsua
Keyword(s):  
Retrospective Analysis ◽  
Bayesian Model ◽  
Bayesian Model Averaging ◽  
Model Averaging ◽  
Annual Precipitation ◽  
Nile River ◽  
Nile Basin ◽  
White Nile ◽  
Projected Changes ◽  
Precipitation Projections

The Nile river basin is one of the global hotspots vulnerable to climate change impacts due to fast growing population and geopolitical tensions. Previous studies demonstrated that general circulation models (GCMs) frequently show disagreement in the sign of change in annual precipitation projections. Here, we first evaluate the performance of 20 GCMs from the 6th Coupled Model Intercomparison Project (CMIP6) benchmarked against a high spatial resolution precipitation dataset dating back to 1983 from Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Climate Data Record (PERSIANN-CDR). Next, a Bayesian Model Averaging (BMA) approach is adopted to derive probability distributions of precipitation projections in the Nile basin. Retrospective analysis reveals that most GCMs exhibit considerable (up to 64% of mean annual precipitation) and spatially heterogenous bias in simulating annual precipitation. Moreover, it is shown that all GCMs underestimate interannual variability; thus, the ensemble range is under-dispersive and a poor indicator of uncertainty. The projected changes from the BMA model show that the value and sign of change varies considerably across the Nile basin. Specifically, it is found that projected changes in the two headwaters basins, namely Blue Nile and Upper White Nile are 0.03% and -1.65% respectively; both statistically insignificant at α = 0.05. The uncertainty range estimated from the BMA model shows that the probability of a precipitation decrease is much higher in the Upper White Nile basin whereas projected change in the Blue Nile is highly uncertain both in magnitude and sign of change.

scholarly journals Quantitative Contributions of Climate Change and Human Activities to Vegetation Changes in the Upper White Nile River

2021 ◽  
Vol 13 (18) ◽  
pp. 3648
Author(s):  
Bo Ma ◽  
Shanshan Wang ◽  
Christophe Mupenzi ◽  
Haoran Li ◽  
Jianye Ma ◽  
...  
Keyword(s):  
Climate Change ◽  
Trend Analysis ◽  
Human Activities ◽  
Vegetation Change ◽  
Agricultural Land ◽  
Future Trend ◽  
Nile River ◽  
Vegetation Changes ◽  
The Future ◽  
White Nile

Vegetation changes in the Upper White Nile River (UWNR) are of great significance to the maintenance of local livelihoods, the survival of wildlife, and the protection of species habitats. Based on the GIMMS NDVI3g and MODIS normalized difference vegetation index (NDVI) data, the temporal and spatial characteristics of vegetation changes in the UWNR from 1982 to 2020 were analyzed by a Theil-Sen median trend analysis and Mann-Kendall test. The future trend of vegetation was analyzed by the Hurst exponential method. A partial correlation analysis was used to analyze the relationship of the vegetation and climate factors, and a residual trend analysis was used to quantify the influence of climate change and human activities on vegetation change. The results indicated that the average NDVI value (0.75) of the UWNR from 1982 to 2020 was relatively high. The average coefficient of variation for the NDVI was 0.059, and the vegetation change was relatively stable. The vegetation in the UWNR increased 0.013/10 year on average, but the vegetation degradation in some areas was serious and mainly classified as agricultural land. The results of a future trend analysis showed that the vegetation in the UWNR is mainly negatively sustainable, and 62.54% of the vegetation will degrade in the future. The NDVI of the UWNR was more affected by temperature than by precipitation, especially on agricultural land and forestland, which were more negatively affected by warming. Climate change and human activities have an impact on vegetation changes, but the spatial distributions of the effects differ. The relative impact of human activities on vegetation change accounted for 64.5%, which was higher than that of climate change (35.5%). Human activities, such as the large proportion of agriculture, rapid population growth and the rapid development of urbanization were the main driving forces. Establishing a cross-border drought joint early warning mechanism, strengthening basic agricultural research, and changing traditional agricultural farming patterns may be effective measures to address food security and climate change and improve vegetation in the UWNR.

scholarly journals Population Dynamics of Intermediate-Host Snails in the White Nile River, Sudan: A Year-Round Observational Descriptive Study

2021 ◽  
Vol 59 (2) ◽  
pp. 121-129
Author(s):  
Hassan A. H. A. Ismail ◽  
Abed el Aziz A. el R. M. Ahmed ◽  
Young-Ha Lee ◽  
Mousab Siddig Elhag ◽  
Youngjin Kim ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Vegetation Coverage ◽  
Nile River ◽  
Snail Population ◽  
Infection Rates ◽  
Intermediate Hosts ◽  
Biomphalaria Pfeifferi ◽  
Bulinus Truncatus ◽  
Ecological Characteristics ◽  
White Nile

We aimed to explore the population dynamics of snail in 3 sites of the White Nile in Sudan. More specifically, we aimed to investigate the annual patterns of snail populations that act as intermediate hosts of schistosomes and monthly snail infection rates and ecological characteristics presumably related to snail populations. We collected snails for 1 year monthly at 3 different shore sites in the vicinity of El Shajara along the White Nile river in Khartoum State, Sudan. In addition, we measured air and water temperatures, water turbidities, vegetation coverages, and water depths and current speeds. Most of the collected snails were <i>Biomphalaria pfeifferi</i> and <i>Bulinus truncatus</i>. The population densities of snails and their infection rates varied across survey sites. The collected snails liberated <i>S. mansoni</i> and <i>S. haematobium</i> cercariae as well as Amphistome and Echinostome cercariae. Infected snails were found during March-June. The ecological characteristics found to be associated with the absence of snails population were: high turbidity, deep water, low vegetation coverage (near absence of vegetation), high water temperature, and high current speed. To our knowledge, this is the first longitudinal study of the snail population and ecological characteristics in the main basin of the White Nile river.

scholarly journals POTENTIALITIES AND CHALLENGES OF ESTABLISHING WATER COURSES BETWEEN RIVERS IN NORTH SUDAN

2019 ◽  
Vol 7 (1) ◽  
pp. 88-95
Author(s):  
Gar Al-nabi Ibrahim Mohamed
Keyword(s):  
Open Data ◽  
Local People ◽  
Nile River ◽  
Total Length ◽  
Standards Of Living ◽  
Water Courses ◽  
Northern State ◽  
White Nile ◽  
Elevation Model ◽  
Application Programs

The establishment of water courses between the rivers in the study area would reduce Sudan Nile water share surplus and water can be used for pumping and flood irrigation agriculture. This will improve local people standard of living and provide good chances for more people to settle in the area. Excellent contribution to desertification combating can be made as well as a reduction in negative environmental impacts by the increase of the green areas. The effort made in this paper investigated the potentialities and challenges of creating water courses between rivers in north Sudan area. The topographical and hydrological models of the study area were created using its free of charge SRTM90 digital elevation model and QGIS and GRASS application programs. Two water courses were proposed in the area and their geometrical characteristics were discussed. Water course 1 starts from the White Nile river in the White Nile state and ends at the river Nile meandering leg in the northern state with a total length of 415.454 km. Water course 2, starts from the Nile river in the Nile state and ends at the Nile river in the northern state, with a total length of 327.285 km. The investigation revealed the potentialities and highlighted the challenges of creating water courses between rivers in the area. It demonstrated the important role of the open data and application programs in improving local people standards of living, providing chances for more people to settle in and combating the desertification in the area.

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