Three-dimensional iterative computing method for environment capacity of multiple atmospheric pollutants

Abstract

The invention provides a three-dimensional iterative computing method for environment capacity of multiple atmospheric pollutants. The method comprises the steps of building a regional complex atmospheric pollution environment capacity three-dimensional iterative computing model based on a pollution source emission list and a meteorological model; establishing a pollution source three-dimensional classification method and an acceptor site optimization selection hierarchical classification method according to space distribution of pollution sources, industry types and pollutant indexes; establishing a dynamic iterative computing method for a space transmission matrix, an industry contribution matrix and a precursor contribution matrix by utilizing the environment capacity three-dimensional iterative model; and iteratively computing the environment capacity of the atmospheric pollutants such as SO2, NOx, particulate matters, NH3, VOCs and the like in regions and sub-industries by adopting a multi-objective nonlinear optimization technology according to the space, industry and precursor contribution matrixes. According to the method, the effects of regional transfer of PM2.5, industry coupling, precursor nonlinear collaboration and the like are comprehensively considered and the deficiencies of an existing environment capacity computing method are made up for.

Description

technical field [0001] The invention relates to the field of atmospheric environment science, in particular to a three-dimensional iterative calculation method for atmospheric multi-pollutant environmental capacity. Background technique [0002] Atmospheric environmental capacity has been used as an important basis to support the national total control of air pollutants and air quality management in my country. At present, the common calculation methods of atmospheric environmental capacity include A value method, linear programming method, model simulation method, etc., and their characteristics are as follows: [0003] The A-value method only considers natural factors, is based on linear assumptions, and adopts the box model principle, which cannot reflect the physical and chemical transformation process in the atmosphere. It is suitable for checking the atmospheric environmental capacity under ideal conditions. Multi-pollutant environmental capacity under the constraints...

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Problems solved by technology

[0003] The A-value method only considers natural factors, is based on linear assumptions, and adopts the box model principle, which cannot reflect the physical and chemical transformation process in the atmosphere. It is suitable for checking the atmospheric environmental capacity under ideal conditions. Multi-pollutant environmental capacity under the constraints of permanent air pollution indicators

[0004] The linear optimization method is based on the linear optimization theory to calculate the atmospheric environmental capacity, link the pollution source and its diffusion process with the control point, and use the concentration of the target control point as a constraint to determine the maximum allowable emission of the source through a multi-source model plus mathematical programming method. The linear optimization method is mainly suitable for small-scale areas, reflecting the "emission-receptor" response relationship, and can optimize the allocation of atmospheric environmental capacity in the region, but this method is restricted by the linear relationship and cannot deal with Secondary Air Pollution Problems with Linear Characteristics

[0005] The model simulation method is to use the air quality model to simulate the pollution source reduction plan. The emission of pollution sources that meet the air quality standards is the regional atmospheric environmental capacity. It can take into account the constraints of natural factors such as meteorology and terrain and human factors such as pollution sources on the atmospheric environmental capacity. , effectively overcome the difficulties encountered by the traditional single method, and can reflect the complex physical and chemical transformation and transmission processes of the atmosphere. However, this method assumes that the spatial layout and industry distribution of pollution source emissions will not change significantly, so it cannot determine the environmental capacity in space, Three-dimensional optimization between industries and precursors, unable to calculate the three-dimensional distribution characteristics of space, industry, and precursors of environmental capacity

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