Water Shortage in MENA Region: An Interdisciplinary Overview and a Suite of Practical Solutions

The chronic water shortage in the Middle East North Africa (MENA) region is a perplexing issue, undoubtedly because various operational sectors, multi-institutions and stakeholders are inextricably interconnected. In the light of climate variability and the unprecedented population growth rate, the per capita water resources and biocapacity will continue plummeting, and the demand-gap will seriously expand. Existing water quantification agreements have been deemed inefficient to solve the problem of naturally diminishing water resources and thus require immediate re-assembling. Most scholarly endeavors, including key international organizations, NGOs, and “Think Tank” policy briefs have limitedly addressed water shortage in contexts of regional politics, mass media, and, importantly, from social psychology perspectives. Therefore, a thorough analysis and interdisciplinary approach is required to find a feasible and suitable framework of solutions and from a multi-perspective podium. A synthesis of cross-sectorial bottlenecks that are crucial to water management is presented, and a suite of practical recommendations are introduced to water authorities and governments. This study argues that in the shadow of the region’s political instability, the clash of ideologies and its repercussions, and issues of national security and sovereignty, regional cooperation on water issues remain prognostications. In this essence, governments of MENA countries are urged to develop measures to substantially increase the water supply through innovative approaches. Such measures include enhancing the capacities of water harvesting, maximizing the storage capacities of the built dams, and deploying groundwater recharge techniques. Furthermore, seawater and brackish water desalination through clean energy technologies is a contemporary solution with socio-economic and multiple benefits. Multi-billion water projects might not be suitable approach in the absence of external funding and the aforementioned hurdles. Further research is required to address the social economics, and environmental aspects of desalination and the socio-economic feasibility of privatizing drinking water utilities and price polarization.

Youth voting and institutional change in the post-Arab Spring MENA region

Using a unique and novel dataset on the youth,the SAHWA Youth Survey(2016),we apply probit and ordered probit models to study the determinants of voting behaviour change among the youth in the Middle East and North Africa(MENA)region in the post-Arab Spring era.We find that drivers of voting vary depending on whether we consider the voting behaviour in the last elections or the likelihood of voting in the next elections.Specifically,socioeconomic variables and some Arab Spring factors are significant for both types of elections.However,institutional variables and personal beliefs only affect the likelihood of voting in the next elections.We also document heterogeneous effects for the last and next votes by gender.

Comparison of WRF Model Physics Parameterizations over the MENA-CORDEX Domain

We investigated the performance of 12 different physics configurations of the climate version of the Weather, Research and Forecasting (WRF) Model over the Middle East and North Africa (MENA) domain. Possible combinations among two Planetary Boundary Layer (PBL), three Cumulus (CUM) and two Microphysics (MIC) schemes were tested. The 2-year simulations (December 1988-November 1990) have been compared with gridded observational data and station measurements for several variables, including total precipitation and maximum and minimum 2-meter air temperature. An objective ranking method of the 12 different simulations and the selection procedure of the best performing configuration for the MENA domain are based on several statistical metrics and carried out for relevant sub-domains and individual stations. The setup for cloud microphysics is found to have the strongest impact on temperature biases while precipitation is most sensitive to the cumulus parameterization scheme and mainly in the tropics.