With the rapid development of our country's economy, our country is facing increasingly serious air pollution problems. In recent years, serious air pollution problems have significantly affected the national economy and people's livelihood, attracting increasing attention from the government, academic circles and people. Air pollution is the comprehensive result of human activities in industrial and agricultural production, life, transportation, urbanization and other aspects. At the same time, meteorological factors are the key natural factors to control air pollution. Air pollution problems are local, local, regional, and even global. In addition to having a serious impact on the local area, local pollutant emissions will also greatly affect the atmospheric environment in downwind areas due to power transmission. Numerical model simulation is an important tool for analyzing the spatial and temporal distribution and compositional contributions of air pollutants. The simulation results can be used to analyze the sources, causes, pollution levels, duration, main components, relative contributions and other issues of air pollution, which is helpful for analysis and reasonable control. Pollution source emissions provide reference for industrial adjustment. The simulation results can analyze cross-regional pollutant transport problems and calculate the dry and wet deposition fluxes of carbon, nitrogen and other components, thereby estimating the potential impact of atmospheric pollutants on ecosystems such as vegetation and soil. The simulation results can also be further analyzed and applied in the fields of environmental and energy assessment, environmental assessment and planning, industrial structure, environmental carrying capacity changes, ecosystem stability and changes, etc. However, given that this model involves both natural factors (meteorology) and human factors (pollutant emissions), the model structure is complex and difficult to operate and process. In response to the requirements of workers in the environmental and ecological fields, the "Regional Meteorology-Atmospheric Chemistry Online" was specially held. Practical technical application of coupled mode (WRF/Chem) in the field of atmospheric environment."
Target
1. Master the principles, debugging and operation methods of WRF-Chem mode.
2. Master WRF-Chem mode data preparation, pre-processing and related parameter setting methods through case operations
3. Master simulation result post-processing and drawing (ARWPOST, NCL and other software operations) methods
4. Master the application of WRF-Chem in atmospheric environment (PM2.5, ozone), visibility, and urbanization through case analysis operations
5. Provide guidance to students on problems encountered in actual projects.
| first part WRF-Chem Mode Application cases and theoretical basis (lecture) |
1. Analysis of application cases of WRF-Chem model in the fields of atmospheric environment (PM2.5, ozone, visibility), ecology (dry and wet deposition of pollutants/element components) and other fields 2. 2. Explanation of the overall framework and functions of WRF-Chem mode 3. Explanation of the dependence of mode installation on the operating system environment and mode data |
| the second part Linux environment configuration and WRF-CHEM (on board) |
1. Introduction to Linux system and basic operations, familiar with basic Linux operation commands 2. Configuration of compiler and Linux environment variables 3. Installation of WRF-Chem pre-dependency software and data visualization software |
| the third part WRF-Chem model compilation , emission source production (explanation\hands-on) |
1. WRF-Chem compilation 2. Meteorological data preprocessing module WPS 4. WRF-Chem model physical process, gas phase chemical mechanism and aerosol simulation plan 5. Explanation and processing of emission source data (including EDGAR, FINN and other mainstream inventory databases) |
| fourth part WRF-Chem data preparation (meteorology, emissions, initial boundary conditions, etc.), case practice (explanation \hands-on ) |
1. Combined with example explanation and model operation Ø Example 1, MOZART chemical mechanism; Example 2, CBMZ chemical mechanism Ø Emission source data preparation (anthropogenic, biological sources): anthropogenic emission source processing program (convert_emiss.exe, meic2wrf, etc.), biological source processing (MEGAN) Ø The necessity and specific settings of initial boundary conditions Ø Explanation of WRF-Chem variable table Ø Mode operation control file namelist.input setting method 2. Exercise: Use MOZART or CBMZ mechanism to run an example 3. Nested operation 4. Use of wildfire emission data |
| the fifth part Simulation result extraction and data visualization (explanation \hands-on ) |
1. Pattern result extraction and data visualization (NCL, ARWPOST and other software) 2. Use in related research and business work (ozone, PM2.5 related scientific research, planning and estimation, etc.) 3. WRF-Chem version issues and notes on high-resolution simulation settings (discussion) 4. Problem discussion and Q&A |
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