The AWESOME Project: A decision analytic framework for managing Water Energy Food and Ecosystems across sectors and scales in the South Mediterranean

Author(s):  
Elena Matta ◽  
Matteo Giuliani ◽  
Ruslana Palatnik ◽  
Morderchai Shechter ◽  
Christiane Pyka ◽  
...  

<p>Rapid population growth and rising economic prosperity are imperatively challenging the South Mediterranean and the African North-East to a point where they may compromise the sustainable use of natural resources. In those regions, the demand for water, energy, food, and the preservation of ecosystems are expected to increase relevantly. Transboundary rivers like the Nile River Basin represent an enormous source of water, energy, food, and ecosystems (WEFE), which often brings conflicts and individualistic policies among the sharing countries. The adoption of integrated and participatory approaches that explicitly account for the WEFE Nexus are necessary to explore multisectoral synergies and tradeoffs and to generate shared economic, environmental, and societal benefits.</p><p>Focused on the Nile River Basin and born in this context, we present here the AWESOME project (i.e. mAnaging Water, Ecosystems and food across sectors and Scales in the sOuth Mediterranean), whose main objective is developing a decision-analytic framework based on a multi-level, integrated WEFE model to address the Nexus and explore the interdependencies and feedbacks across a hierarchy of spatial scales, from the macroeconomic development (macro), to regional planning (meso), down to the single farm (local).</p><p>At the local scale, a demo-site of smart agricultural solutions (soilless agriculture, e.g., hydroponics, aquaponics) is currently under construction, and it will provide indicators on effectiveness and sustainability of these new technologies to back up existing systems in a dryer future. The study on site will also demonstrate the performance of such a technology within its local economy and ecosystem. At the meso scale, we are developing a decision-analytic framework covering the course of the Nile River Basin, from the Grand Renaissance Dam (GERD) in Ethiopia up to the Nile Delta, based on hydrological models and combined with the results of systems analysis methods with advanced a-posteriori multi-objective optimization algorithms. We plan to simulate existing water availability, water distributions system and new agricultural technologies, upscaling the local scale assessments while downscaling the climate, energy, crop, and ecosystems projections at the macro scale. This approach allows the design of a set of efficient solutions and associated performance with respect to the WEFE multidimensional assessment space, where stakeholders and policy makers will be able to explore multisectoral tradeoffs and negotiate potential compromise alternatives.</p><p>We expect that AWESOME will make substantial progress in complex systems analysis to support the transition towards a more sustainable and resilient agriculture along the Nile River Basin under diverging water availability and demand due to the projected impacts of changing climate and society.</p>

2014 ◽  
Vol 29 (3) ◽  
pp. 316-328 ◽  
Author(s):  
Yasir S.A. ALI ◽  
Alessandra CROSATO ◽  
Yasir A. MOHAMED ◽  
Seifeldin H. ABDALLA ◽  
Nigel G. WRIGHT

2014 ◽  
Vol 8 ◽  
pp. 16-31 ◽  
Author(s):  
Diane Arjoon ◽  
Yasir Mohamed ◽  
Quentin Goor ◽  
Amaury Tilmant

Author(s):  
Emad Hasan ◽  
Aondover Tarhule

GRACE-derived Terrestrial Water Storage Anomalies (TWSA) continue to be used in an expanding array of studies to analyze numerous processes and phenomena related to terrestrial water storage dynamics, including groundwater depletions, lake storage variations, snow, and glacial mass changes, as well as floods, droughts, among others. So far, however, few studies have investigated how the factors that affect total water storage (e.g., precipitation, runoff, soil moisture, evapotranspiration) interact and combine over space and time to produce the mass variations that GRACE detects. This paper is an attempt to fill that gap and stimulate needed research in this area. Using the Nile River Basin as case study, it explicitly analyzes nine hydroclimatic and anthropogenic processes, as well as their relationship to TWS in different climatic zones in the Nile River Basin. The analytic method employed the trends in both the dependent and independent variables applying two geographically multiple regression (GMR) approaches: (i) an unweighted or ordinary least square regression (OLS) model in which the contributions of all variables to TWS variability are deemed equal at all locations; and (ii) a geographically weighted regression (GWR) which assigns a weight to each variable at different locations based on the occurrence of trend clusters, determined by Moran’s cluster index. In both cases, model efficacy was investigated using standard goodness of fit diagnostics. The OLS showed that trends in five variables (i.e., precipitation, runoff, surface water soil moisture, and population density) significantly (p<0.0001) explain the trends in TWSA for the basin at large. However, the models R2 value is only 0.14. In contrast, the GWR produced R2 values ranging between 0.40 and 0.89, with an average of 0.86 and normally distributed standard residuals. The models retained in the GWR differ by climatic zone. The results showed that all nine variables contribute significantly to the trend in TWS in the Tropical region; population density is an important contributor to TWSA variability in all zones; ET and Population density are the only significant variables in the semiarid zone. This type of information is critical for developing robust statistical models for reconstructing time series of proxy GRACE anomalies that predate the launch of the GRACE mission and for gap-filling between GRACE and GRACE-FO.


2017 ◽  
Vol 07 (01) ◽  
pp. 65-75 ◽  
Author(s):  
Andualem Shigute Bokke ◽  
Meron Teferi Taye ◽  
Patrick Willems ◽  
Shimelis Asefu Siyoum

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