Selecting IoT-Enabled Water Quality Index Parameters for Smart Environmental Management DOI Creative Commons
Wibowo Harry Sugiharto, Heru Susanto, Agung Budi Prasetijo

и другие.

Instrumentation Mesure Métrologie, Год журнала: 2024, Номер 23(4)

Опубликована: Авг. 23, 2024

The monitoring of water quality is crucial for safeguarding ecosystem health and ensuring the safety resources.The Water Quality Index (WQI) has been developed as a tool to condense complex data into single, easily interpretable value.Standard WQI calculations typically incorporate parameters such pH, temperature, dissolved oxygen (DO), turbidity, total solids (TDS).This study provides comprehensive review existing literature, focusing on application physicochemical biological sensors in monitoring.The findings indicate that sensors, particularly those used detecting contaminants Escherichia coli (E.coli), are often unsuitable real-time due inherent technical limitations.In contrast, integration Internet Things (IoT) technologies significantly enhances capability monitoring, enabling prompt detection variations quality.The suggests future research should prioritize development incorporates selected identified this research, IoT-based systems operate with greater efficiency reliability.Such advancements essential supporting sustainable management resources enhancing environmental protection efforts.

Язык: Английский

Selecting IoT-Enabled Water Quality Index Parameters for Smart Environmental Management DOI Creative Commons
Wibowo Harry Sugiharto, Heru Susanto, Agung Budi Prasetijo

и другие.

Instrumentation Mesure Métrologie, Год журнала: 2024, Номер 23(4)

Опубликована: Авг. 23, 2024

The monitoring of water quality is crucial for safeguarding ecosystem health and ensuring the safety resources.The Water Quality Index (WQI) has been developed as a tool to condense complex data into single, easily interpretable value.Standard WQI calculations typically incorporate parameters such pH, temperature, dissolved oxygen (DO), turbidity, total solids (TDS).This study provides comprehensive review existing literature, focusing on application physicochemical biological sensors in monitoring.The findings indicate that sensors, particularly those used detecting contaminants Escherichia coli (E.coli), are often unsuitable real-time due inherent technical limitations.In contrast, integration Internet Things (IoT) technologies significantly enhances capability monitoring, enabling prompt detection variations quality.The suggests future research should prioritize development incorporates selected identified this research, IoT-based systems operate with greater efficiency reliability.Such advancements essential supporting sustainable management resources enhancing environmental protection efforts.

Язык: Английский

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