Method for analog computation of concentration of pollutant in sensitive area

A technology for pollutant concentration and sensitive areas, which is applied in the field of analog calculation of pollutant concentrations in sensitive areas, can solve the problems of poor applicability and inability to establish accurate and effective models, and achieve strong practicability, large-scale engineering applications and management application prospects, Reduce the effect of input parameters

Inactive Publication Date: 2017-12-05
NANJING NARI GROUP CORP
6 Cites 47 Cited by

AI-Extracted Technical Summary

Problems solved by technology

However, the data of the concentration of pollutants in the atmosphere measured by the current automatic monitoring station is mainly used as an early warning of exceeding the standard, and the applicability is not strong, and most of the current predictions directly refer to the concentration data of the polluta...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Abstract

The invention discloses a method for analog computation of concentration of a pollutant in a sensitive area. The method is as follows: 1) establishing a coordinate system according to the position of a predicted point of the sensitive area, and determining the position of a non-point source pollution source and coordinates of the predicted point; 2) determining the surface source height of the pollution source; determining the wind speed at a discharge site according to the surface source height; 4) determining diffusion parameters; 5) establishing a diffusion model, and inversely calculating emission source intensity of the pollutant according to the concentration of the pollutant at a monitoring point; 6) positively calculating the concentration of the pollutant at the predicted point according to the emission source intensity, and superimposing environmental background value to obtain the actual concentration value of the predicted point; and 7) comparing the positively-calculated concentration, obtained in the step 6), of the pollutant at the predicted point and a environmental standard to judge whether the concentration of the pollutant exceeds the standard. The concentration of the pollutant can be in real time monitored by means of an air automatic monitoring station built in the periphery of an industrial park. By setting up of the pollutant diffusion model, a calculation scheme for the concentration of the pollutant in the sensitive area can be formed, and diffusion of the pollutant in the industrial park can be forecasted and warned when emission source intensity is unknown.

Application Domain

Technology Topic

Environmental standardPollutant +6

Image

  • Method for analog computation of concentration of pollutant in sensitive area
  • Method for analog computation of concentration of pollutant in sensitive area
  • Method for analog computation of concentration of pollutant in sensitive area

Examples

  • Experimental program(1)

Example Embodiment

[0042] In order to further describe the technical features and effects of the present invention, the present invention will be further described below with reference to the accompanying drawings and specific embodiments.
[0043] refer to Figure 1-Figure 3 , a method for simulating and calculating the concentration of pollutants in sensitive areas. The invention is based on the Gaussian model, selects windy, small wind, and static wind models according to the wind speed, and divides the grid of the pollutant surface source to determine the pollution of the sensitive points around the park respectively. concentration, and then superimposed calculation.
[0044] The coordinate system is established to determine the location of the pollution source and the coordinates of the predicted point
[0045] Evaluation area meshing
[0046] The center point of the non-point source pollution area is determined as the equivalent point of the total source intensity, and the plant area 1 is approximately regarded as a grid, and the grid area is approximately equal to the area of ​​the plant area 1. The intersection of the diagonal lines of the rectangle is The center point of the non-point source pollution area, according to the dominant wind, takes the center point P of each grid as the coordinate origin, the downwind direction along the dominant wind is the x-axis, and the direction perpendicular to the wind direction is the y-axis to establish a Cartesian coordinate system, we can get The coordinates of each monitor relative to the Cartesian coordinate system.
[0047] Contaminated area meshing
[0048] Determine the scope of pollutant impact assessment, that is, the scope of forecast and early warning. The area where the pollutant discharge source is located is used as the center to define the coordinate grid of the forecast area. According to the grid division principle and the actual situation of the park in this project, set the grid equidistant points. Divide the non-point source pollution area into grids of a certain size, take the east-west direction as the x-axis, the north-south direction as the y-axis, and establish a rectangular coordinate system with the center point of the grid as the coordinate origin. The center point of the non-point source is as close as possible to the center of the industrial park. The points overlap and are divided according to the wind direction.
[0049] Determine area source height
[0050] The effective source height H is determined according to the actual height of the pollution source discharge height in the processing and production process of each enterprise in the industrial park. In order to simplify the calculation, the effective source height H can be determined directly by the average height of the pollution source discharge.
[0051] Determining the wind speed at the discharge
[0052]Determine the wind speed at the discharge according to the discharge height (source height).
[0053] Determining Diffusion Parameters
[0054] The solar radiation level is determined from the solar altitude angle and cloud cover, and the corresponding atmospheric stability can be obtained from the solar radiation level and the surface wind speed (the atmospheric stability refers to the strength of the vertical movement of the near-surface atmosphere, when the temperature is vertical When the lapse rate γ>-1°C/100m, the atmosphere is in an unstable state. When γ=-1°C/100m, the atmosphere is in a neutral state, and when γ
[0055]
[0056] where σ y0 is the initial diffusion parameter in the horizontal direction of the surface source, σ z0 is the initial diffusion parameter in the vertical direction of the surface source.
[0057] The calculation can be obtained from the virtual point source to the y-axis distance L of the coordinate system with the center of the surface source as the coordinate origin y and the virtual point source to the z-axis distance L of the coordinate system with the center of the surface source as the coordinate origin z , the z axis is perpendicular to the plane formed by the x and y axes, and the total diffusion parameter is calculated: σ ym =a(x+L y ) b and σ zm =c(x+L z ) d.
[0058] where: σ ym is the diffusion parameter in the horizontal direction of the virtual point source, σ zm is the vertical diffusion parameter of the virtual point source, W is the grid width; H is the effective height of the surface source, and x is the x-axis coordinate in the coordinate system.
[0059] A diffusion model is established and simplified, and the emission source intensity of pollutants is calculated inversely according to the pollutant concentration measured at the monitoring point.
[0060] First, obtain the actual concentration of pollutants (remove the environmental background value) through automatic monitoring;
[0061] Then, the surface source diffusion model of Gaussian atmospheric pollutants is selected according to the wind speed, and the source intensity is calculated inversely with the actual pollutant concentration value measured by the automatic monitoring station, and the four physical processes of airflow transport, atmospheric diffusion, gravitational deposition and surface deposition are comprehensively considered. The model is revised for the effect of pollutant dispersion.
[0062] When there is wind (10m/s>u>1.5m/s), the calculation formula of diffusion concentration is:
[0063]
[0064]
[0065] In light wind and still wind (u≤1.5m/s), the formula for calculating the concentration is:
[0066]
[0067] Among them, x and y are the abscissa and ordinate of the plane rectangular coordinates of the predicted point, C is the diffusion concentration of pollutants at the predicted point, Q i is the source intensity of the i-th group of particles, u is the average wind speed, σ ym is the diffusion parameter in the horizontal direction of the surface source, σ zm is the vertical diffusion parameter of the surface source, σ xm is the downwind diffusion parameter, v i is the particle settling velocity, α i The i-th particle size ground reflection coefficient, d pi The average particle size of group i, μ is the air viscosity, ρ p is the particle density, H is the effective source height, R is the distance from the monitoring point to the coordinate origin, and T is the duration of the static wind.
[0068] According to the pollution source intensity (pollution source intensity is a calculation method of pollution sources, which refers to the emission of pollutants per unit time), the concentration of pollutants at the predicted point is calculated forward, and the environmental background value is superimposed to obtain the actual concentration value of the predicted point.
[0069] The background concentration of pollutants, including the pollutants originally existing in the surrounding environment of the park (background value). In general, the concentration value in the downwind direction is higher than that in the upwind direction, so the background concentration also includes the pollutant concentration data of the monitoring site in the upwind direction. , then directly use the concentration value monitored by the downwind direction monitoring station to reverse.
[0070] Judgment of exceeding the standard
[0071] According to the secondary standard of the ambient air quality standard (GB 3095-2012), it is judged whether the calculated pollutant concentration value in the sensitive area exceeds the standard.
[0072] The above embodiments do not limit the present invention in any form, and all technical solutions obtained in the form of equivalent replacement or equivalent transformation fall within the protection scope of the present invention.
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

no PUM

Description & Claims & Application Information

We can also present the details of the Description, Claims and Application information to help users get a comprehensive understanding of the technical details of the patent, such as background art, summary of invention, brief description of drawings, description of embodiments, and other original content. On the other hand, users can also determine the specific scope of protection of the technology through the list of claims; as well as understand the changes in the life cycle of the technology with the presentation of the patent timeline. Login to view more.
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Similar technology patents

Oil charging self-adaptive control method and system for wet clutch

ActiveCN105782286AGuaranteed adjustment accuracyPracticalClutchesClutchSelf adaptive
Owner:ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD

Classification and recommendation of technical efficacy words

  • Practical
  • High utility value

Indoor map navigation route guidance algorithm

Owner:北京掌尚无限信息技术有限公司

Method for planting guavas in greenhouse in north

Owner:BEIJING AGRI TECH PROMOTION STATION
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products