Atmospheric pollutant emission is the source of air pollution, and meteorological factors are important factors affecting the degree of pollution. Therefore, the air quality model requires meteorological data and pollutant emission inventory as input. Due to the complexity of air pollution sources, data lag, dynamic changes, and regularity The characteristics of the air pollution source emission inventory input are not obvious, making the preparation of the air pollution source emission inventory input a key and difficult point. The SMOKE model is a tool used to process and manage pollution source emission inventory data and has many advantages.
From the release of real-time data monitoring to the release of air quality numerical forecasts and forecast products, my country has made certain progress in air quality monitoring and forecasting. With the rapid development of computer technology, the improvement of air pollution monitoring methods, and people's in-depth understanding of atmospheric physical and chemical processes, the development and use of advanced atmospheric chemistry models to predict China's air quality is of great significance for reducing air pollution disasters and improving people's lives. Quality has a positive meaning. The air quality forecasting model system (WRF-CMAQ) and pollution source treatment technology are currently important means of early warning and comprehensive management of large-scale haze weather. Its promotion and application across the country will help improve the actual business forecasting level and enhance disaster prevention and reduction capabilities. , achieve significant social and economic benefits.
Mr. Cheng [researcher] and Mr. Wang: have long been engaged in scientific research on air quality simulation and improvement. They have independently developed a variety of pollution source inversion methods and aerosol lidar data assimilation technology based on three-dimensional variation. They have more than ten years of practical experience in using the CMAQ model. Operational experience, taught CMAQ model in many universities. Familiar with all aspects from model installation, operation, interpretation to model result display, with special attention to the application and promotion of CMAQ models in the fields of environment, meteorology and other fields.
Part One: Based on SMOKE multi-mode emission inventory processing technology and EDGAR/MEIC inventory production and VOCs emission accounting
Special Topic 1 Technical Methods for Preparation, Processing and Uncertainty Analysis of Air Pollution Source Emission Inventories
1. Explanation of the preparation method of urban air emission inventory;
2. Emission inventory uncertainty analysis technical methods;
3．Emission inventory uncertainty and model debugging;
4．Emission inventory processing technology explanation and process;
5. SMOKE/MEGAN model explanation;
Topic 2 Emissions Accounting (VOCs Emissions as an Example) and Uncertainty Analysis Technology
1. Pollutant emission accounting (VOCs emissions from solvent use sources as an example);
2. Establishment of component emission inventory (VOCs component inventory as an example);
3. Basic command operations of LINUX;
4．Emission coefficient uncertainty analysis operations;
5. Emission inventory uncertainty analysis operations;
Topic 3 SMOKE local case establishment method
1. Based on SMOKE local emission inventory processing case method;
2. Pollution source classification and document preparation methods;
3．Area code compilation and document preparation methods;
4．Methods for investigating time characteristics of air pollution sources and preparing time spectrum files;
5. Pollution source composition spectrum and document preparation methods based on model atmospheric chemical mechanisms;
6. SMOKE input preparation using grid emission inventory as input
Topic 4 SMOKE/MEGAN installation and testing
1. SMOKE environment configuration and precautions;
2.SMOKE output drawing tool installation
3.SMOKE model installation and compilation
4.SMOKE test case operation;
5. Local case of MEGAN model;
Topic 5 SMOKE input file preparation exercises
1.Spatial Allocator installation and configuration
2. Establishment of area source spatial distribution coefficient
3. Time spectrum file preparation operation
Topic 6 : SMOKE local case configuration and debugging operations
1. Preparation of input files for point source and area source emission inventories;
2. SMOKE local case configuration and debugging;
3. Emission inventory integration and CMAQ-ready emission inventory output;
Topic 7 CMAQ/CAMx Case Operation
1. CAMx mode data conversion interface installation
2. Multi-mode simulation area setting instructions
3. CMAQ case execution
4. CAMx case execution
Topic 8 WRF-Chem mode case operation
1. Installation of WRH-Chem mode data conversion interface
2. WRF-Chem case execution
3. Ask questions
Topic 9 Global Emissions Inventory (EDGAR) Processing Case Based on SMOKE
1. Case configuration instructions
2.Input file preparation
3.SMOKE-EDGAR case execution
4. Result check
Topic 10 National Emission Inventory (MEIC) Processing Case Based on SMOKE
1. Case configuration instructions
2.Input file preparation
3.SMOKE-MEIC case operation
4. Result check
Part 2: Systematic study of practical technical applications of CMAQ air quality model
Topic 1 CMAQ model theory and chemical mechanism \ analysis of key technologies of basic functions
1. The development history and commonly used models of international air quality models;
2. CMAQ model theoretical framework and chemical mechanism;
3. Analysis of key technologies of CMAQ model (including process analysis, sensitivity analysis, source analysis functions, etc.);
Topic 2 CMAQ mode configuration and operation
1. CMAQ pattern library file installation and environment configuration;
2. Installation and operation of meteorological field processing module MCIP;
3. Install and run the pre-processing module ICON\BCON;
4. Install and run the pollution source file update processing module;
5. Main module CCTM installation;
Topic 3 CMAQ model result extraction and data visualization
1.CMAQ mode variable table;
2. CMAQ mode result extraction and data visualization
3. Physical interpretation of CMAQ simulation results, etc.
Topic 4: Benchmark Case Practice
Detailed explanation and practice of the operation processes and steps of each module of ICON, BCON, MCIP, and CCTM through cases
Topic 5 What is the scientific principle of the CMAQ model?
The main contents of the scientific algorithm manual "Science Algorithms of CMAQ" compiled by the U.S. EPA;
Topic 6 : CMAQ Actual Case Practice
Taking an actual case in a certain region as an example, the operation processes and steps of ICON, BCON, MCIP, CCTM, pollution source update processing module, etc. are explained in detail.
Topic 7: Improvement technologies related to CMAQ model forecasts
1. Pollution source inversion method based on CMAQ sensitivity analysis module;
2. Aerosol lidar data assimilation method;
3. Methods for forecast correction of PM2.5, O3 and other pollutants;
Topic 8 CMAQ model process analysis
1. Parameter settings of the process analysis module;
2. Preparation of input files for the process analysis module;
3. Conduct CMAQ process analysis and simulation with actual cases;
4. Realistic and physical interpretation of simulation results;
Topic 9 Meteorological and pollution source impact assessment methods
1. Meteorological and pollution source impact assessment methods;
2. Methods for evaluating emission source emission reduction effects;
Topic 10: Sensitivity Analysis of CMAQ Model
1. Parameter settings of the sensitivity analysis module;
2. Preparation of input files for the sensitivity analysis module;
3. Conduct CMAQ sensitivity analysis simulation using actual cases;
4. Realistic and physical interpretation of simulation results;
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