Ozone generation contribution rate analysis method and device

Abstract

The invention discloses an ozone generation contribution rate analysis method and device. The method comprises the following steps: acquiring observation data comprising different elements; analyzing the observation data of each element in the observation data, and respectively judging whether the observation data are in the global threshold range of the corresponding element; when the data are within the global threshold range, judging that the data are normal data; and inputting the element observation data judged as normal data into the trained TabNet for calculation to obtain the ozone generation contribution rate of the corresponding element. The device comprises an observation data acquisition unit, a data quality control unit and a calculation unit. According to the method and the device, the definition of ozone generation contribution rate is provided; VOCs observation data, meteorological observation data and conventional pollutant observation data are directly applied to ozone generation contribution analysis; an application strategy of applying the deep table learning neural network to ozone generation contribution rate calculation is proposed; a nonlinear method capable of analyzing ozone generation contribution rate of observation data at a single time is provided.

Description

technical field [0001] The invention relates to the technical field of environmental monitoring, and more specifically, the invention relates to an analysis method and device for the contribution rate of ozone generation. Background technique [0002] Ozone is a trace gas in the atmosphere, more than 90% of the ozone is distributed in the stratosphere, and less than 10% of the ozone is in the troposphere. Tropospheric ozone comes from the photochemical reaction of nitrogen oxides and volatile organic compounds (VOCs, Volatile Organic Compounds) except a small amount from stratospheric transport. Ozone has strong oxidizing properties, and short-term high-concentration ozone exposure in ambient air will cause serious harm to the cardiovascular system and respiratory system of the human body. In addition, high concentrations of ambient air ozone can also damage the growth and reproduction of plants, reduce the yield of crops and biodiversity, etc. [0003] Although ozone in t...

AI Technical Summary

Problems solved by technology

[0006] However, the tree model method is based on model training and requires large data sets for training. It is applied to the contribution analysis of different elements in the data set and cannot be applied to individual cases. The variance contribution is based on the linear regression model that cannot consider the interaction between elements. role, also does not apply to O 3 Complex nonlinear relationship between concentration and its influencing factors

Images