Method and system for efficiently estimating near-surface PM2.5 (particulate matter 2.5) concentration

Abstract

The invention discloses a method and a system for efficiently estimating the near-surface PM2.5 (particular matter 2.5) concentration. The method includes a model building step and a model estimating step. The model building step further includes a data compressing sub-step, extracting main spectral signal structure characteristics of remotely sensed data; a data matching sub-step, extracting corresponding remotely sensed information according to spatial coordinates of PM2.5 ground monitoring data; a model building sub-step, building estimation models according matched data sets. The model estimating step further includes an estimation requesting sub-step, preprocessing estimation input data; an estimating sub-step, estimating the near-surface PM2.5 concentration according to estimation requests and outputting estimation results. The method and the system have the advantages that the near-ground PM2.5 concentration can be estimated according to the MODIS (moderate resolution imaging spectroradiometer) observation data on the basis of the artificial neural network models, and accordingly remote sensing operational monitoring requirements can be met; the method and the system can support importing of meteorological factors, and accordingly the near-surface PM2.5 concentration can be quickly and efficiently dynamically monitored on a large scale.

Description

technical field [0001] The invention relates to the field of earth science computing, in particular to a high-efficiency near-surface PM 2.5 Concentration estimation method and estimation system. Background technique [0002] Fine particulate matter (PM 2.5 ) refers to atmospheric particulate matter with an aerodynamic equivalent particle size less than or equal to 2.5 μm. PM 2.5 The main source of generation is the residues discharged from combustion in the process of daily power generation, industrial production, automobile exhaust emission, etc., and construction dust, most of which contain toxic substances such as heavy metals. In addition, other pollutants in the atmosphere (such as: SO 2 , NO x etc.) are also important sources of fine particulate matter. PM 2.5 It has gradually become the primary air pollutant in most cities in my country and has received widespread attention from public opinion. 2.5 Pollution research is an urgent task facing our country, which...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a near-surface PM 2.5 Concentration remote sensing monitoring method, device and system thereof, used to solve PM 2.5 Insufficient ground-based observations of concentrations and traditional remote sensing monitoring methods are limited by the accuracy of AOD data

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