Real-Time Water Quality Analysis Using Advanced Impedance Spectroscopy and Levenberg Marquardt Optimization

Abstract

Real-time water quality monitoring is essential for ensuring public health and environmental safety. This study integrates advanced impedance spectroscopy with a robust compensation model using the Levenberg-Marquardt (LM) algorithm to optimize water quality parameters such as Total Dissolved Solids (TDS) and pH. The LM algorithm, applied in nonlinear least squares fitting, enables the system to dynamically adjust for environmental factors like temperature, ensuring enhanced accuracy and reliability. The experimental validation demonstrates the model’s adaptability across diverse water conditions, providing a scalable solution for real world applications. Key findings include a 35% reduction in root mean square error (RMSE) compared to traditional methods. This study presents a novel methodological framework combining advanced spectroscopy and mathematical optimization for water quality analysis.