Dissolved oxygen (DO) and temperature are key indicators of water quality, significantly affecting aquatic ecosystems. This study develops a monitoring system to measure DO and temperature at multiple water depths with high accuracy, utilizing water pressure sensors for precise depth determination. The system’s design includes integrating DO and temperature sensors with water pressure sensors to monitor water quality at various depths, with data processed through custom software. Regression analysis is used to calibrate the sensors, ensuring accurate readings. The system’s design includes a submerged unit for collecting water data and a floating unit for controlling depth and displaying the data. The system was tested for accuracy and effectiveness, showing an average error of ±2.41 cm in depth measurement and an R2 value of 0.9955 for DO sensor accuracy, indicating minimal deviation from actual values. Statistical analysis, including mean, regression, and correlation analyses, confirmed the system’s precision, with significant variations in DO levels recorded at different depths, reaching a maximum of 6 mg/L at 140 cm. These results highlight the system’s capability to provide reliable, real-time water quality data across various depths, proving its effectiveness for environmental monitoring.

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A Monitoring System for Dissolved Oxygen and Temperature at Specific Water Depths Using Water Pressure Sensors

  • Muhammad Akmal Falih Rizqullah,
  • Luthfi As-Sidqi,
  • Mikhail Sannata Widjaya,
  • Fiky Y. Suratman,
  • Istiqomah,
  • Eka Wardhani,
  • Kancitra Pharmawati

摘要

Dissolved oxygen (DO) and temperature are key indicators of water quality, significantly affecting aquatic ecosystems. This study develops a monitoring system to measure DO and temperature at multiple water depths with high accuracy, utilizing water pressure sensors for precise depth determination. The system’s design includes integrating DO and temperature sensors with water pressure sensors to monitor water quality at various depths, with data processed through custom software. Regression analysis is used to calibrate the sensors, ensuring accurate readings. The system’s design includes a submerged unit for collecting water data and a floating unit for controlling depth and displaying the data. The system was tested for accuracy and effectiveness, showing an average error of ±2.41 cm in depth measurement and an R2 value of 0.9955 for DO sensor accuracy, indicating minimal deviation from actual values. Statistical analysis, including mean, regression, and correlation analyses, confirmed the system’s precision, with significant variations in DO levels recorded at different depths, reaching a maximum of 6 mg/L at 140 cm. These results highlight the system’s capability to provide reliable, real-time water quality data across various depths, proving its effectiveness for environmental monitoring.