Zainab Sahel Muhsin; Dr. Lubna Alzubaidi; Dr. Mohammed Ali Rasheed
Jurnal: Web of Synergy: International Interdisciplinary Research Journal
ISSN: 2835-3013
Volume: 2, Issue: 8
Tanggal Terbit: 25 August 2023
This project presents an integrated environmental monitoring system that combines multiple sensors to measure and analyze key parameters of water quality. The system incorporates pH, turbidity, temperature, and electrical conductivity (EC) sensors, interfaced with an Arduino microcontroller for data acquisition and processing.
The pH sensor measures the acidity or alkalinity of the water, providing crucial information for assessing water quality and its suitability for various applications. The turbidity sensor detects suspended particles in the water, enabling the estimation of water clarity and potential contaminants. The temperature sensor provides real-time monitoring of water temperature, which is essential for understanding the thermal characteristics and potential impacts on aquatic ecosystems. Lastly, the EC sensor measures the electrical conductivity, offering insights into the water's salinity and mineral content, a vital parameter for various environmental studies.
The Arduino microcontroller serves as the central processing unit, collecting sensor data and displaying the results in the serial monitor. The sensors are interfaced with the Arduino using appropriate communication protocols, such as analog or I2C, and their respective libraries are utilized for efficient data retrieval and interpretation.
This integrated environmental monitoring system enables continuous, real-time monitoring of multiple water quality parameters, providing valuable insights into the overall health and condition of the monitored environment. It offers a cost-effective and user-friendly solution for researchers, environmentalists, and water quality management personnel to assess water quality, identify potential issues, and make informed decisions to ensure sustainable water resource management. The system's modular design allows for flexibility and scalability, enabling additional sensors to be integrated as per specific project requirements.