Real-Time Water Quality Assessment and Prediction using AI/ML Algorithms
Disciplines
Digital Communications and Networking | Systems and Communications
Abstract (300 words maximum)
Water quality is extremely important for humans, animals, plants, industries, and the environment. Water quality has been affected in recent decades due to contamination and pollution. Water quality indices (WQIs) are used to summarize large amounts of water quality data into a single number or score to help evaluate water quality. We used dataset from USGS which includes Temperature, pH, Turbidity and Dissolved oxygen to find WQI using AI/ML algorithms. The dataset has been preprocessed and we handled missing values using K-Nearest Neighbors(KNN). Classification is done using WQI, based on the Water Quality Classification(WQC) which can be notified to the users. The prediction results are verified using Brown’s method to find Weighted Arithmetic Water Quality Index (WAWQI). The resulting based on AI/ML model improves water resource management decision-making processes by giving users access to real-time water quality predictions.
Academic department under which the project should be listed
CCSE - Computer Science
Primary Investigator (PI) Name
Ahyoung Lee
Real-Time Water Quality Assessment and Prediction using AI/ML Algorithms
Water quality is extremely important for humans, animals, plants, industries, and the environment. Water quality has been affected in recent decades due to contamination and pollution. Water quality indices (WQIs) are used to summarize large amounts of water quality data into a single number or score to help evaluate water quality. We used dataset from USGS which includes Temperature, pH, Turbidity and Dissolved oxygen to find WQI using AI/ML algorithms. The dataset has been preprocessed and we handled missing values using K-Nearest Neighbors(KNN). Classification is done using WQI, based on the Water Quality Classification(WQC) which can be notified to the users. The prediction results are verified using Brown’s method to find Weighted Arithmetic Water Quality Index (WAWQI). The resulting based on AI/ML model improves water resource management decision-making processes by giving users access to real-time water quality predictions.