This paper is published in Volume-9, Issue-5, 2023
Computer Science
Pranav Pradhan
Pune Vidyarthi Griha's College of Engineering and Technology, Pune, Maharashtra, India
Pub. Date
30 September, 2023
Paper ID
Artificial Intelligence, Water Management, Hydraulic Modelling 1.0, Hydraulic Modelling 2.0, Big Data.


Pranav Pradhan. Smart Water Management, International Journal of Advance Research, Ideas and Innovations in Technology,

Pranav Pradhan (2023). Smart Water Management. International Journal of Advance Research, Ideas and Innovations in Technology, 9(5)

Pranav Pradhan. "Smart Water Management." International Journal of Advance Research, Ideas and Innovations in Technology 9.5 (2023).


The shortage of water supplies has emerged as a pressing worldwide issue in a world that must contend with the twin problems of a growing population and climate change. The need for effective water management has grown, and it is all too easy to see the results of carelessness and human mistake in managing water resources. Artificial Intelligence (AI), however, is a promising solution in the realm of computer science. A developing area of computer science called artificial intelligence has the power to completely alter how we manage our water resources. Computers, as opposed to people, are known for their accuracy and dependability. Utilizing AI in water management could not only correct past mistakes but also save millions of liters of water each year, thereby helping the world's population, which is always expanding. At its foundation, smart water management comprises effectively managing water resources with the least amount of human involvement. Data-driven "intelligent" applications have already revolutionized many elements of our daily lives in the digital age. Water utilities that are forward-thinking can greatly improve their operational performance by using this digital technology revolution. For water utilities starting their journey toward digital transformation, this abstract offers an introduction to the core AI ideas. It puts a strong emphasis on streamlining water distribution processes and dealing with the urgent problem of unaccounted-for water. Water utilities may use a wealth of data and information to improve service delivery, lower operating costs, and make better decisions by utilizing the power of AI algorithms and big data analytics. This succinct review describes the wide-ranging uses of big data analytics and AI-related algorithms in the water supply industry. It also explores how water utilities might use AI to predict and reduce unaccounted-for water, a problem that persists in the industry. Finally, actionable suggestions for implementing AI are offered, along with first cost projections.