Year: 2025
Type: article
Abstract: This work emphasizes the importance of monitoring water quality through a low-cost turbidity sensor to support environmental management. Using LDR sensors and an Arduino, the project determines the ideal wavelength and establishes the calibration curve. The sensor operates automatically, performing color scanning and selecting the wavelength most sensitive to variations in water turbidity. Data analysis revealed a calibration curve with a coefficient of determination (R²) of 0.995, highlighting the sensor's high precision. Turbidity quantification is achieved through nephelometric (90°) and turbidimetric (180°) methods, optimizing sensor configuration and wavelength to obtain the best measurements.
Authors: Halana Santos Lisboa, Mariana Pires Maria, Vanessa Cristine Silva Santos, Michael Santana Reis, Gilderlan Oliveira Rodrigues
Language: English
Subfield: Waste Management and Disposal
Field: Environmental Science
Domain: Physical Sciences
Open Access status: bronze
Award: G5656759610
OpenAlex ID: W4414598052
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