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HOW WILL WATER MANAGEMENT LOOK IN 2030 USING DATA ANALYTICS?

1 January 1970
Blog
Publisher : Spiral Data

18552

This article forecasts the future of water management in 2030, emphasizing the transformative role of data analytics. It predicts a shift towards highly intelligent, interconnected systems that leverage real-time data from sensors and IoT devices for proactive monitoring of water quality, leakage detection, and consumption patterns. Data analytics will enable predictive maintenance for infrastructure, optimize water distribution, and support smart irrigation practices, reducing waste and ensuring sustainable supply. The vision includes AI-powered decision-making tools that enhance resilience against climate change impacts and facilitate equitable water resource allocation globally.

Author(s) :

Kale Needham, et al

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Key topics

Data Science for social impact, Environmental Sustainability and Climate Action, Water, Sanitation, and Hygiene (WASH)

Also found in

Operations and Program Management Systems Thinking and Complex Problem Design Technology for Social Change and Organisational Efficiency

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