CIVIL & ARCHITECTURE DOMAIN
Published August 18, 2023 | Version v1
Journal article Open

Harnessing the Power of Artificial Intelligence in Water Resources Management

Creators

  • 1. Civil Engineering Faculty

Description

This article explores the transformative impact of Artificial Intelligence (AI) on water resources management. With water scarcity, pollution, and climate change challenges on the rise, AI is emerging as a game-changer in tracking, forecasting, and optimizing water use. By analyzing vast datasets in real-time, AI empowers managers to make informed decisions, enhancing the preservation and efficient utilization of this essential resource. The article delves into AI's influence on data collection, real-time monitoring, water allocation, precision agriculture, leak detection, climate change modeling, and reservoir optimization. Challenges such as data quality and ethical considerations are also discussed, highlighting the need for collaboration between water experts, AI specialists, and local communities to harness AI's potential for a sustainable water future.

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References

  • 1. Li, D., Xu, H., Xiao, G., & Liu, G. (2020). Application of artificial intelligence in water resources management: A review. Journal of Hydrology, 590, 125516.
  • 2. Singh, V. P. (2020). Artificial intelligence applications in hydrology and water resources: Past, present, and future. Water Resources Research, 56(6), e2019WR026665.
  • 3. Hossain, M. S., Gavilan, H. R., Aciar, S., Han, D., & Fang, G. (2021). Artificial intelligence and machine learning applications in water resources management: A review of recent development and challenges. Science of The Total Environment, 783, 147005.
  • 4. Goyal, M. K., & Ojha, C. S. P. (2021). A review on the applications of artificial intelligence techniques in water resources management. Sustainable Water Resources Management, 7(3), 1-17.
  • 5. Lin, Y., Huang, G. H., Ding, Y., & Li, Y. P. (2019). Integrated artificial intelligence models for sustainable water resources management: A critical review. Environmental Modelling & Software, 122, 104524.
  • 6. Sharma, A. K., Tiwari, S., & Pandey, A. (2019). Artificial intelligence in water resources management: A bibliometric review. Global Challenges, 3(6), 1800114.