Review of T. Oestigaard (ed.). Water, Culture and Identity: Comparing Past and Present Traditions in the Nile Basin Region

2010 ◽  
Vol 8 (2) ◽  
pp. 263-265
Author(s):  
Stephanie Wynne-Jones
Keyword(s):  
Nile Basin ◽  
Water Culture ◽  
Basin Region

scholarly journals Towards Risk-Informed Development: Improving Political Disaster Risk Modeling in the Nile Basin Region Using Big Data and Machine Learning

2021 ◽  
Author(s):  
◽  
Zeyad Elkelani
Keyword(s):  
Machine Learning ◽  
High Performance ◽  
Political Risk ◽  
Disaster Risk ◽  
Machine Learning Algorithms ◽  
Risk Modeling ◽  
Nile Basin ◽  
Adaptive Capabilities ◽  
And Coping ◽  
Basin Region

The purpose of this dissertation is to analyze disaster risk components and how they impact intrastate and interstate conditions in the context of resilient development. There are two main factors that affect disaster risk: exposure to specific natural hazards and vulnerability of a given region, community, or state regarding susceptibility factors, coping abilities, and adaptive capabilities. This dissertation also builds a custom database given the name of the Structural, Survey & Events (SSED) from 95 data sources for disaster risk components in the Nile Basin Initiative (NBI) states between 2000 and 2020. The modeling takes place using machine learning algorithms running on High-Performance Computing (HPC) resources as part of the Extreme Science and Engineering Discovery Environment (XSEDE) program. Furthermore, the dissertation illustrates the fact that political risk is closely linked to lower susceptibility in NBI states, whereas bilateral cooperation is dependent on exposure and coping capacities. On the other hand, the risk of inequality relies on the adaptive capabilities of the Nile Basin region. Deep Learning models have shown promising results, indicating that disaster exposure elements do indeed fit greatly across different explained disaster risks or impacts. Thus, building an End-to-End Machine Learning Pipeline for data processing and modeling using HPC helps reach the best-fitting model, confirming that granular spatiotemporal yields a better fit. In this dissertation, machine learning prediction is used to rank NBI states across political risk, bilateral diplomatic, cooperative interstate aptitude, and risk of inequality showing varying results across NBI states.

scholarly journals ENGINEERING ARTIFICIAL INTELLIGENCE FOR STRATEGIC MANAGEMENT OF EQUITABLE RESOURCE DISTRIBUTION IN NILE BASIN

2016 ◽  
Vol 4 (8) ◽  
pp. 32-45
Author(s):  
Harb ◽  
Abd Alhameed
Keyword(s):  
Artificial Intelligence ◽  
Water Conservation ◽  
Agricultural Practices ◽  
Political Conflict ◽  
Interstate Conflict ◽  
Ecological Framework ◽  
Nile Basin ◽  
Dr Congo ◽  
Basin Region ◽  
Water Resource Conservation

Uganda, Tanzania, the Sudan, South Sudan, Rwanda, Kenya, Ethiopia, Egypt, DR Congo, and Burundi all make entitlement claims to the ecological system of the Nile Basin.  This region is rich in resources, yet prone to interstate conflict, drought, and other vulnerabilities.  Water resource conservation systems, alternative purification systems, and rainfall stimulation systems programmed by artificial intelligence can facilitate the establishment of transboundary partnerships that reduce international conflict and serve as a foundation for economic growth and job creation in the Nile Basin region. Water conservation systems using artificial intelligence have been found to increase rainfall capture by an average of 1.5 billion gallons of stormwater per year or enough to provide clean drinking water for 36,000 people per year (O’Neill et. al, 2012).  The ecological framework of Nile Basin’s various regions will determine the appropriate artificial intelligence systems that can be implemented to promote the equitable distribution the Nile Basin’s resources.  These systems will lessen political conflict that can negatively impact the agricultural practices of Nile Basin farmers and inhabitants who depend on the Nile Basin’s resources for their livelihoods.

A comparison of gridded datasets of precipitation and temperature over the Eastern Nile Basin region

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Mohamed Abdelwares ◽  
Jos Lelieveld ◽  
George Zittis ◽  
Mohammed Haggag ◽  
Ahmad Wagdy
Keyword(s):  
Nile Basin ◽  
Basin Region ◽  
Precipitation And Temperature

Socioeconomic Challenges faced by Basin’s People in India

Think India ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 296-304
Author(s):  
Biplab Tripathy ◽  
Tanmoy Mondal
Keyword(s):  
River Basin ◽  
High Tide ◽  
North East ◽  
The People ◽  
Term Basis ◽  
Major River ◽  
River Ganga ◽  
Basin Region ◽  
Basin Area

India is a subcontinent, there huge no of people lived in river basin area. In India there more or less 80% of people directly or indirectly depend on River. Ganga, Brahamputra in North and North East and Mahanadi, Govabori, Krishna, Kaveri, Narmoda, Tapti, Mahi in South are the major river basin in India. There each year due to flood and high tide lots of people are suffered in river basin region in India. These problems destroy the socio economic peace and hope of the people in river basin. There peoples are continuously suffered by lots of difficulties in sort or in long term basis. Few basin regions are always in high alert at the time of monsoon seasons. Sometime due to over migration from basin area, it becomes empty and creates an ultimate loss of resources in India and causes a dis-balance situation in this area.

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