300次实验磨一剑！南京空气质量预报添利器

Core Insights - The "Nanjing Air Quality Numerical Model WRF-CMAQ System" has been successfully validated, significantly enhancing air quality forecasting capabilities in Nanjing [1][2] - The system employs a dual model linkage innovation, with a grid resolution refined from 27 kilometers to 1 kilometer, allowing for detailed pollution tracking at the street level [1][2] Group 1: System Features - The system features a four-layer grid design that provides comprehensive coverage of Nanjing, with the innermost grid acting as an "environmental microscope" to detect pollution changes [1] - The accuracy of forecasts has improved by over 30% compared to traditional methods, with a 24-hour Air Quality Index (AQI) forecast accuracy of 94.4% [2] Group 2: Technological Innovations - The development team conducted over 300 experiments to optimize meteorological parameters and reduce wind speed errors, enhancing precipitation forecast accuracy [2] - A dual emission inventory system was established, incorporating machine learning for weekly calibration, which has improved the accuracy of PM2.5 simulations and vehicle nitrogen oxide emissions calculations [2] Group 3: Impact and Applications - Since its implementation, the system has produced over 200 high-quality forecasts and generated more than 20 mid- to long-term pollution source tracing reports, becoming essential for regional air quality management [2] - The system represents a shift in Nanjing's air quality monitoring from human-led to intelligent-driven approaches, facilitating proactive pollution prevention strategies [2]