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<p>Water is fundamental to life and a vital resource that supports our daily existence. Preserving water quality and availability is a global priority, especially as water pollution continues to rise due to human activities. According to the Surfrider Foundation Europe, the main sources of pollution include bacteriological contamination, chemical pollutants, and aquatic waste. This paper addresses two questions: (a) Should consumers be concerned about drinking water quality? (b) What strategies can be implemented to mitigate water pollution? We propose a technological solution based on nanosensor networks to monitor, detect, and measure pollutant concentrations in water. The system uses a series of nanosensors, each specialized for a specific type of contaminant. The data collected is processed using an advanced mixing mechanism. The advanced mixing mechanism refers to a computational data fusion process that aggregates input from multiple heterogeneous nanosensors—each designed to detect specific contaminants (e.g., chemical, biological, or physical) to quantify pollution levels. An integrated monitoring and response strategy helps identify contamination sources and prevent the consumption of polluted water. The effectiveness of the nanosensor network is validated through extensive simulations (water quantity fluctuates between approximately 900 and 1100 units, contamination rate over time ranges from about 0.05 to 0.22, and significant fluctuations range from approximately 0.04 to 0.22), demonstrating its ability to detect and respond to water quality issues. This includes specific water pollution issues such as microbial contamination, chemical runoff from agriculture, and heavy metal accumulation in freshwater sources.</p>

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A new nanotechnology-based solution for monitoring, detecting, and measuring water pollution concentrations

  • 期刊论文

  • 发表日期：

    2025年9月1日

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  • Adda Boualem

摘要

Water is fundamental to life and a vital resource that supports our daily existence. Preserving water quality and availability is a global priority, especially as water pollution continues to rise due to human activities. According to the Surfrider Foundation Europe, the main sources of pollution include bacteriological contamination, chemical pollutants, and aquatic waste. This paper addresses two questions: (a) Should consumers be concerned about drinking water quality? (b) What strategies can be implemented to mitigate water pollution? We propose a technological solution based on nanosensor networks to monitor, detect, and measure pollutant concentrations in water. The system uses a series of nanosensors, each specialized for a specific type of contaminant. The data collected is processed using an advanced mixing mechanism. The advanced mixing mechanism refers to a computational data fusion process that aggregates input from multiple heterogeneous nanosensors—each designed to detect specific contaminants (e.g., chemical, biological, or physical) to quantify pollution levels. An integrated monitoring and response strategy helps identify contamination sources and prevent the consumption of polluted water. The effectiveness of the nanosensor network is validated through extensive simulations (water quantity fluctuates between approximately 900 and 1100 units, contamination rate over time ranges from about 0.05 to 0.22, and significant fluctuations range from approximately 0.04 to 0.22), demonstrating its ability to detect and respond to water quality issues. This includes specific water pollution issues such as microbial contamination, chemical runoff from agriculture, and heavy metal accumulation in freshwater sources.