| Issue |
ITM Web Conf.
Volume 43, 2022
The International Conference on Artificial Intelligence and Engineering 2022 (ICAIE’2022)
|
|
|---|---|---|
| Article Number | 01029 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/itmconf/20224301029 | |
| Published online | 14 March 2022 | |
A Review of the integrated WEF nexus modeling platform in the NENA region: Morocco case study
1 Industrial Engineering ENSAM-Meknes School of Engineering, University Moulay Ismail, Morocco Mohamed Zakaria Hazig
2 Full Professor of Industrial Engineering, ENSAM-Meknes School of Engineering, University Moulay Ismail, Morocco. Afaf Dadda
3 Full Professor of Industrial Engineering, ENSAM-Meknes School of Engineering, University Moulay Ismail, Morocco. Brahim Ouhbi
Email: medzakariahazig@gmail.com
Email: a.dadda@ensam.umi.ac.ma;
Email: ouhbib@yahoo.co.uk
Nowadays, the world is recognizing the water-food-energy (WEF) as a conceptual framework that aims to the implementation of the Sustainable Development Goals (SDGs). The WEF Nexus is being developed to support the integrity of national and more importantly local projects in the cross-sectoral partnerships and coordination to enhance the sustainable development outcomes from the different projects as well as avoiding the trade-offs. Most importantly, building a great synergy between the sectors is challenged by sectorial boundaries such as policy decisions, scaling investments, and cross-sectorial consequences, which leads to anticipation biases when it comes to social, economic, and environmental costs. This paper aims to review the latest integrated WEF Nexus modeling platform that has been developed in the NENA region during the project "Implementing the 2030 Agenda for Water Efficiency/Productivity and Water Sustainability in NENA Countries" (WEPS-NENA), led by the Food and Agriculture Organization of the United Nations (FAO) and supported by the Swedish International Development Cooperation Agency.
Key words: Water-Energy-Food Nexus / Sustainable development / Modeling / Decision-making
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.