Early Warning of Water Quality Risk Using Real Time Sensor Data

Overview

Problem: Traditional water testing is a long process. By the time the lab finds a contaminant, people may have already drunk the water, or it may have affected the environment. We need a way to find risks before they become a full-on disaster. Solution: We’re building/designing a system that uses real-time sensors (like turbidity and TDS) to monitor water quality. It works similarly to a smoke detector, constantly monitoring for threats. If something anomalous appears, it will be reported immediately. Independent: a type of contaminant introduced to the water Dependant: Sensor data output + how fast the warning is triggered Constants: water temperature, sensor brands/models, and volume of water Hypothesis“If water quality sensors (turbidity and TDS) detect a sudden deviation of >20% from the baseline, then an early warning can be triggered with high accuracy before the contaminant reaches a lethal concentration.”

Awards (2)

• Bronze Medal
• Selected for CWSF 2026

Competition history

• CWSF 2026 Environment & Climate Change

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