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Atmospheric element mercury concentration prediction method based on site monitoring data construction

A technology for monitoring data and concentration prediction, which is applied in the field of atmospheric element mercury concentration prediction based on site monitoring data. , the effect of promoting convenience

Active Publication Date: 2020-09-18
INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to solve the problems of high cost, difficult popularization and complicated operation of existing gaseous elemental mercury detection, the present invention proposes a method for predicting atmospheric elemental mercury concentration based on site monitoring data, including steps:

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  • Atmospheric element mercury concentration prediction method based on site monitoring data construction
  • Atmospheric element mercury concentration prediction method based on site monitoring data construction
  • Atmospheric element mercury concentration prediction method based on site monitoring data construction

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Embodiment 1

[0033] In order to solve the problems of high cost, difficult popularization and complicated operation of existing gaseous elemental mercury detection, the present invention proposes a method for predicting atmospheric elemental mercury concentration based on site monitoring data, including steps:

[0034] S1: Obtain air quality data, water-soluble ion concentration and GEM data to establish a database, air quality data includes PM 2.5 , O 3 , PM 10 , SO 2 , CO, NO X , the water-soluble ions include the cation K + , Ca 2+ 、Na + , Mg 2+ , NH 4 + and anion SO 4 2- , NO 3 - and Cl - ;

[0035] S2: Use stepwise multiple linear regression to obtain the main influencing parameters on GEM, mainly PM 2.5 , CO, NO X ;

[0036] S3: Perform multiple linear regression according to the main influencing parameters to obtain the linear relationship between the main influencing parameters and GEM;

[0037] S4: Determine the exponential relationship between the characteristic...

Embodiment 2

[0054] In order to further understand and prove the present invention better, the present embodiment uses the form of actual data to verify, a method for predicting the concentration of atmospheric element mercury based on site monitoring data, such as Figure 4 shown.

[0055] PM for verification 2.5 , CO, NO x and Na + +Mg 2+ The accuracy of the model for predicting the change of GEM constructed by the four independent variables of the ratio of cation equivalent concentration, the data of the observation site from January to April 2018 (1334 sets of valid data) were substituted into the model to calculate the simulated GEM concentration. The average concentration of GEM measured from January to April 2018 was 2.28ng / m 3 , the average concentration predicted by the model is 2.16ng / m 3 , which turned out to be 5.1 percent lower. The time series comparison between the predicted results and the actual observed concentration is as follows: Figure 4 shown. It can be seen ...

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Abstract

The invention discloses an atmospheric element mercury concentration prediction method based on site monitoring data construction. The method comprises the steps of obtaining air quality data, water-soluble ion concentration and GEM data to establish a database; obtaining main influence parameters on the GEM by adopting step-by-step multiple linear regression; performing multiple linear regressionaccording to the main influence parameters, and obtaining a linear relation between the main influence parameters and GEM; determining an exponential relation between the characteristic water-solubleions in the main influence factors and GEM through an exponential regression method; and combining the linear relational expression and the exponential relational expression, and constructing a GEM prediction model through an iterative regression method. According to the invention, a large-scale on-line measuring instrument is not needed to measure the concentration of gaseous element mercury inthe atmosphere; atmospheric elemental mercury concentration data can be obtained according to the GEM prediction model only by monitoring main influence parameters and specific water-soluble ion concentration, and meanwhile, the influence of water-soluble ions on gaseous elemental mercury concentration is fully considered, so that the finally obtained calculation result of the GEM prediction modelis more accurate.

Description

technical field [0001] The invention relates to the field of environmental monitoring, in particular to a method for predicting the concentration of atmospheric element mercury based on site monitoring data. Background technique [0002] Mercury is a heavy metal element that is significantly harmful to organisms. It can be enriched in organisms, has neurotoxicity, can cause organ lesions, and damage the health of organisms. Mercury has a high saturated vapor pressure and can volatilize into the atmosphere at room temperature, easily becoming an air pollutant. The forms of mercury in the atmosphere mainly include gaseous elemental mercury (GEM, gaseouselemental mercury), gaseous oxidized mercury and particulate mercury according to the measurement method. Among them, the content of gaseous elemental mercury can reach more than 95% of the total mercury content in the atmosphere. most important component. Therefore, the mass concentration of gaseous element mercury is closely...

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Application Information

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IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 肖航易辉佟磊李建荣蔡秋亮王克强潘勇林佳梅
Owner INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI