Artificial Intelligence and Advanced Technologies for Managing Iraqi water Resources
Water issues related to Iraqi rivers and reservoirs have devastating consequences on the citizens’ health and country’s economy. This has been seen in the increased number of non-communicable diseases and jobs’ shortage in the country as-a-whole. This paper discusses the factors contributing to water scarcity in Iraq and proposes intelligent solutions. Factors contributing to water issues are not limited to extreme weather conditions, and include water scarcity, evaporation, water contamination and water salinity. What makes the situation more complicated is the outdated water systems that have been used for monitoring, analysis, irrigation, and control of water. In addition, human factors play important role in decision-making in terms of use of these systems. Uses of these systems is not an easy task as it requires well-established standard operating procedures and comprehensive/integrated databases; where, both are lacking in Iraq. The paper is envisaged to implement an Intelligent Water System that utilises the latter technologies for trying to solve all the challenges within the existing water management system. Implementing such intelligent water system and intelligent barriers will benefit Iraq on the short and long-term with specific aids to the environment, economy, citizens and the country as-a-whole. Thus, the proposed intelligent water system will result in cleaner air and water, better quality crop and land, and less pollution. Citizens will have better health and quality of life and more job opportunities. In addition, the country will have new jobs and industries, smarter and more sustainable agricultures, self-sustainable smart cities, self-sufficient economy, and healthier.
Authors
- Sulaf A. Assi (ORCID: https://orcid.org/0000-0002-5142-9179)
- Wasiq Khan (ORCID: https://orcid.org/0000-0002-7511-3873)
- Dhiya Al‐Jumeily (ORCID: https://orcid.org/0000-0002-9170-0568)
Institutions
- Liverpool John Moores University (GB)
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/dese63988.2024.10911992
- Primary Topic
- Reservoir Engineering and Simulation Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00