[Necessary for scientific research] Based on SMOKE multi-mode emission inventory processing technology and EDGAR/MEIC inventory production and VOCs emission accounting

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. Currently, a variety of air quality models have been developed at home and abroad based on different theories, uses, and design concepts. These models are widely used in the establishment of air quality forecast and warning systems, air pollution prevention and control, environmental impact assessment and other work.

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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.

Target:

1. Master the sources of uncertainty and quantitative analysis methods in air pollution source emission inventories;

2. Take VOCs emissions as an example to master the methods of emission source accounting and component inventory establishment;

3. Master the technical methods for processing air pollution source emission inventories based on the SMOKE model;

4. Master the multi-mode emission inventory input preparation method based on SMOKE;

5. Master the application methods in CMAx, CMAQ, WRF-chem and other models through case analysis and practice;

6. Master the EDGAR/MEIC list processing technology methods through running examples;

Details:

Air pollution source emission inventory preparation, processing and uncertainty analysis technical methods;

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;

Emissions accounting (VOCs emissions as an example) and uncertainty analysis technology;

operate:

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;

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

SMOKE/MEGAN installation and testing

operate:

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;

SMOKE input file preparation exercise

operate:

1.Spatial Allocator installation and configuration

2. Establishment of area source spatial distribution coefficient

3. Time spectrum file preparation operation

SMOKE local case configuration and debugging operations

operate:

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;

CMAQ/CAMx case execution

operate:

1. CAMx mode data conversion interface installation

2. Multi-mode simulation area setting instructions

3. CMAQ case execution

4. CAMx case execution

WRF-Chem mode case run

operate:

1. Installation of WRH-Chem mode data conversion interface

2. WRF-Chem case execution

3. Ask questions

Global Emissions Inventory (EDGAR) processing case based on SMOKE

operate:

1. Case configuration instructions

2.Input file preparation

3.SMOKE-EDGAR case execution

4. Result check

SMOKE-based National Emissions Inventory (MEIC) processing case operation:

1. Case configuration instructions

2.Input file preparation

3.SMOKE-MEIC case operation

4. Result check