Wastewater Recycling Integration with IoT Sensor Vision for Real-time Monitoring and Transforming Polluted Ponds into Clean Ponds using HG-RNN

<p style="line-height:200%;text-align:justify;"><span lang="EN-US">Wastewater recycling will protect the environment by reducing the quantity of contaminants released into water bodies, safeguarding aquatic ecosystems, and averting water pollution. The objective is to transform polluted ponds into clean water sources through real-time monitoring and efficient treatment by tracking water quality parameters such as pH, dissolved oxygen, turbidity, and biological oxygen demand using plotted IoT sensors. The IoT sensors continuously transmit real-time data to a cloud-based system, where the HG-RNN algorithm models complex relationships between water quality metrics to predict and optimize treatment processes. The HG-RNN is trained on historical data to predict future water quality trends and identify potential issues. Based on these predictions, appropriate treatment strategies can be implemented in real-time, such as adjusting chemical dosages or activating filtration systems. This proactive approach ensures optimal water quality and prevents further pollution. </span></p>

Publication Details

Journal
Global NEST Journal
Published
2025-02-07
DOI
https://doi.org/10.30955/gnj.06758
Citations
3
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
2.45
Controls
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article

Wastewater Recycling Integration with IoT Sensor Vision for Real-time Monitoring and Transforming Polluted Ponds into Clean Ponds using HG-RNN

3 citations
Global NEST Journal
Water Quality Monitoring Technologies
2.45
article

Wastewater Recycling Integration with IoT Sensor Vision for Real-time Monitoring and Transforming Polluted Ponds into Clean Ponds using HG-RNN

article en
3 citations

Abstract

<p style="line-height:200%;text-align:justify;"><span lang="EN-US">Wastewater recycling will protect the environment by reducing the quantity of contaminants released into water bodies, safeguarding aquatic ecosystems, and averting water pollution. The objective is to transform polluted ponds into clean water sources through real-time monitoring and efficient treatment by tracking water quality parameters such as pH, dissolved oxygen, turbidity, and biological oxygen demand using plotted IoT sensors. The IoT sensors continuously transmit real-time data to a cloud-based system, where the HG-RNN algorithm models complex relationships between water quality metrics to predict and optimize treatment processes. The HG-RNN is trained on historical data to predict future water quality trends and identify potential issues. Based on these predictions, appropriate treatment strategies can be implemented in real-time, such as adjusting chemical dosages or activating filtration systems. This proactive approach ensures optimal water quality and prevents further pollution. </span></p>

Global NEST Journal
Openalex Percentile: Top 13%
Water Quality Monitoring Technologies
2.45
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Wastewater Recycling Integration with IoT Sensor Vision for Real-time Monitoring and Transforming Polluted Ponds into Clean Ponds using HG-RNN · Global NEST Journal (2025) | TGRS Research Map | TGRS