Thailand Raw Water Quality Dataset Analysis and Evaluation

Sustainable water quality data are important for understanding historical variability and trends in river regimes, as well the impact of industrial waste on health aquatic ecosystems. management practices heavily depend reliable comprehensive data, prompting need accurate monitoring assessment parameters. This research describes a reconstructed daily dataset that complements rare observations six station points along Chao Phraya River Thailand. Internet Things technology Eureka probe sensor is used to collect reconstruct period from June 2022–February 2023, with Turbidity, Optical Dissolved Oxygen, Oxygen Saturation, Spatial Conductivity, Acidity/Basicity, Total Solids, Salinity, Temperature, Chlorophyll, Depth recorded parameters different stations. The presented comprises total 211,322 points, which separated into CSV files. then evaluated using Long Short-Term Memory (LSTM) algorithm Mean Squared Error (MSE) 0.0012256, Root (RMSE) 0.0350080. proposed provides valuable insights researchers studying ecosystems, supporting informed decision-making sustainable practices.