The AERMOD model is a Gaussian steady-state diffusion model developed by the U.S. EPA (AMS/EPA) on the basis of ISC3 (Industrial Source Complex Model). is one of the recommended air pollutant concentration prediction models. The AERMOD model is widely used in air pollution prediction, atmospheric environmental impact assessment and air pollution prevention and control.
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.
1. Master the AERMOD principle and model structure;
2. Master the installation and use methods of AERMOD model;
3. Master the technical methods of preprocessing data for AERMOD model input files;
4. Master AERMOD model output post-processing techniques;
Topic 1: Analysis of the principles of Gaussian steady-state plume diffusion model and AERMOD model
1. Gaussian steady-state plume diffusion model;
2. AERMOD model principles and experience sharing;
3. AERMOD model structure and configuration method;
AERMOD model running, data preparation and post-processing
1. AERMOD model environment construction and debugging;
2. Test case data preparation;
3. AERMOD case operation practice;
4. Output data post-processing operations;
AERMOD configuration method based on "Technical Guidelines for Environmental Impact Assessment Atmospheric Environment (HJ 2.2-2018)"
1. Explanation of the promotion model of "Technical Guidelines for Environmental Impact Assessment Atmospheric Environment (HJ 2.2-2018)";
2. Guideline-based AERMOD configuration solution;
3. Meteorological data preprocessing technology methods;
4. Terrain data preprocessing technology methods;
Case study on atmospheric environmental impact assessment based on AERMOD model
1. Meteorological data preprocessing;
2. Terrain data preprocessing
3. Pollutant emission calculation
4. AERMOD model operation;
5. case post-processing;
Frequently Asked Questions and Answers
1. Summary and answers to frequently asked questions during the operation of the AERMOD model
2. Live Q&A
AERMOD was developed by the Regulatory Model Improvement Committee (AERMIC) formed by the US Environmental Protection Agency and the American Meteorological Society . AERMIC's goal is to develop a regulatory model that can completely replace ISC3. The new regulatory model will adopt the input and output structure of ISC3, apply the latest diffusion theory and computer technology to update the ISC3 computer program, and must ensure that it can simulate the atmosphere that ISC3 can currently simulate. Processes and emission sources. This system takes diffusion statistical theory as the starting point and assumes that the concentration distribution of pollutants obeys Gaussian distribution to a certain extent. The model system can be used for emissions from a variety of emission sources (including point sources, line sources, area sources, and volume sources). It is also suitable for various emission diffusions such as rural and urban environments, flat terrains and complex terrains, ground sources, and elevated sources. The simulation and prediction of the situation can calculate dry and wet deposition and other removal processes. AERMOD has the following features:
1. Based on the structure and theory of planetary boundary layer (PBL) turbulence. According to the concepts of air turbulence structure and scale, turbulence diffusion is given by parametric equations, and stability is expressed by continuous parameters;
2. Moderate buoyancy flux convection conditions adopt a non-normal PDF mode;
3. The interaction between the buoyant plume and the mixing top under convective conditions is considered;
4. Use streamline layer height and flow field decomposition methods to deal with complex terrain problems;
5. Contains algorithms for processing city boundary layers at night