Air Pollution Prediction

Air Pollution Prediction is a method that utilizes big data and machine learning technologies to forecast and analyze the concentration of air pollutants in real-time. Its objective is to establish highly accurate prediction models by using historical data and environmental parameters, to provide early warnings of pollution events, and to assist governments and enterprises in formulating effective prevention and control measures. This technology has significant application value in environmental protection, public health management, and urban planning.