Inversion estimation method for atmospheric pollutant emission list

Abstract

The invention discloses an inversion estimation method for an atmospheric pollutant emission list. The method comprises the following steps: acquiring initial pollution source emission data of a research area; based on the initial pollution source emission data, obtaining an upper limit and a lower limit of emission of the to-be-inverted area; carrying out grid division on the research area basedon GIS, and distributing the initial pollution source emission data to the divided network to obtain a grid emission list file suitable for the meteorological-air quality model system; based on the simulation result of meteorological simulation of the research area and the networked emission list file, establishing a meteorological-air quality model to obtain a source emission-receptor concentration relationship; and constructing a pollution source emission list optimization model through a linear programming method based on the source emission-receptor concentration relationship, the upper and lower limits of emission of the to-be-inverted area and the air quality monitoring data. According to the method, the limitations of statistical data hysteresis, multiple simulation iterations and the like can be eliminated, one-time numerical simulation is carried out, inversion of the pollutant emission list of the research area is realized through a linear programming method, and the emissionlist establishment process is simplified.

Description

technical field [0001] The invention belongs to the technical field of atmospheric environment and relates to an inversion estimation method for an air pollutant discharge inventory, in particular to an inversion estimation method for an air pollutant emission inventory based on numerical simulation, linear programming and air quality monitoring data. Background technique [0002] The air pollutant discharge inventory is the key basic information for studying the formation mechanism of regional atmospheric compound pollution and formulating pollution control programs. The commonly used method for establishing traditional emission inventories is the bottom-up method based on statistical yearbook data or field surveys. This method is mainly based on detailed activity level data collection and emission factor selection to realize the estimation of pollutant emissions; Large volume, relatively lagging updates and other issues. [0003] In addition to the bottom-up method, the i...

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Problems solved by technology

[0004] In the existing emission inversion studies, the mass balance method is suitable for pollutants with a short life cycle, such as NOx, but the spatial resolution of the obtained emission inventory is low, generally greater than 1°;

[0005] The Kalman filter method assumes the error probability distribution of the observed data and the pollution source list, considers the model simulation data and the observed data, recursively fuses the pollution sources and the observed data and the covariance of the pollution sources time by time, and under the criterion of the smallest analysis error, Obtaining the optimal solution of pollution sources usually requires multiple simulations, which is time-consuming due to the large amount of simulations;

[0006] The Bayesian method is mostly based on the Lagrangian particle diffusion model to establish the source-receptor relationship between pollution source emissions and receptor points, while the particle diffusion model only considers physical diffusion and transport, and does not consider chemical reactions, so it is currently mostly applicable to inactive The inversion of pollutants, such as halohydrocarbons, has limitations in broadening the range of pollutant applications

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