Analysis method of pollution air mass transport sources in small-scale areas of industrial parks

Abstract

The present invention discloses a method for analyzing the transport sources of polluted air masses in small-scale areas of industrial parks. This method deploys observation sampling points in the industrial park; collects continuous real-time monitoring data on atmospheric pollutant concentrations and meteorological elements and imports them into a data analysis module. A rosette distribution diagram and a time series diagram of real-time pollutant concentrations are drawn and embedded into the industrial park geographic information system layer; the data analysis module calculates the range of high-value pollutant concentrations, time periods, and meteorological element change trends during the observation period, and calculates the backward transport distance and direction range of pollutants under atmospheric diffusion conditions; displays the distribution range of pollution sources within the backward transport range of pollutants on the industrial park geographic information system platform; identifies pollution sources that significantly contribute to the increase in pollutant concentrations monitored at the observation sampling points, and obtains the transport sources of polluted air masses. This method quickly and effectively traces the transport sources of polluted air masses, enabling rapid and effective analysis of the transport sources of polluted air masses in small-scale areas of industrial parks.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and in particular to a method for analyzing the transport sources of polluted air masses in a small-scale area of ​​an industrial park. Background Art

[0002] Currently, the main technologies for attributing atmospheric pollution sources include pollution source inventories, air quality models (diffusion models), and receptor models. The emission source inventory method identifies the main contributing emission sources based on the emissions of each source, providing data support for the air quality model method and the receptor model method. The air quality model simulates the transmission, diffusion, chemical transformation, and deposition of pollutants in the atmosphere based on the emission intensity data and meteorological data of each pollution source, and estimates the contribution of the pollution source to the receptor. The receptor model method is based on the data of receptors and / or pollution sources, combined with the characteristics of the pollution source, to identify the type of pollution source and quantify its source category percentage contribution. It is more commonly used to determine the contribution ratio of pollution sources in cities or regions. Although this type of model does not require detailed information on pollution source emission intensity and emission conditions, meteorological, topographical, etc., it requires refined source component spectrum data, which limits the refined analysis of pollution sources.

[0003] Using backward airflow trajectory models to determine the transmission paths of atmospheric pollutants is a common method for studying the impact of air pollution transport across provinces, cities, and surrounding areas. By understanding the source paths of polluted air masses, pollution control and early warning can be implemented in advance. However, this method is not suitable for analyzing the transport and diffusion of local atmospheric pollutant masses within small-scale areas such as industrial parks. Currently, there is a lack of rapid and effective technical methods for analyzing the transport sources of polluted air masses within small-scale areas. This is particularly true when data such as pollution source emission intensity, emission conditions, topography, and detailed source composition spectrum data are missing, which limits industrial parks' ability to identify pollution sources and analyze pollution influencing factors in detail. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method for analyzing the transport sources of polluted air masses in small-scale areas of industrial parks. This method arranges observation points in the industrial park, applies the continuously observed concentrations of multiple atmospheric pollutants and meteorological factors to analyze the transport of polluted air masses, judges and tracks the source distribution range of local pollution in the industrial park, combines the actual situation on site and the characteristics of pollutant emissions in the production process, quickly and effectively traces the transport sources of polluted air masses, and realizes rapid and effective analysis of the transport sources of polluted air masses in small-scale areas of industrial parks.

[0005] To solve the above technical problems, the method for analyzing the source of polluted air mass transport in a small-scale area of ​​an industrial park of the present invention comprises the following steps:

[0006] Step 1: Deploy single, multi-point and / or gridded observation sampling points in the industrial park;

[0007] Step 2: Collect continuous real-time monitoring data of atmospheric pollutant concentrations and meteorological elements at observation sampling points;

[0008] Step 3: Import the continuous real-time monitoring data into the data analysis module for data statistics and analysis, and draw a real-time pollutant concentration rose distribution diagram and time series diagram;

[0009] Step 4: embed the observation sampling points, pollutant concentration rose distribution map and pollutant concentration time series into the industrial park geographic information system layer;

[0010] Step 5: Use the data analysis module to calculate the range of high-value pollutant concentrations, time periods, and meteorological element change trends during the observation period, and calculate the backward transport distance and direction range of pollutants according to atmospheric diffusion conditions;

[0011] Step 6: Combine the industrial park's pollutant emission inventory, unorganized and organized pollution sources, their main pollutant characteristics, observation sampling points, and surrounding field surveys to display the distribution of pollution sources within the pollutant transport range on the industrial park's geographic information system platform through the data analysis module;

[0012] Step 7: Determine the pollution sources that have significantly contributed to the increase in pollutant concentrations monitored at the observation sampling points and obtain the source of the transport of polluted air masses.

[0013] Furthermore, in step 1, an online ambient air monitoring device is set at the observation sampling point, including but not limited to a micro air station online analysis device or an atmospheric volatile organic compound online analysis device.

[0014] Furthermore, in step 2, the meteorological elements include wind speed and wind direction.

[0015] Furthermore, in step three, a pollutant concentration rose distribution diagram is drawn to establish two-dimensional polar coordinates, the radius coordinate represents the wind speed, and the azimuth represents the wind direction. The pollutant concentration values, wind speed, wind direction and time measured during the continuous observation period are matched one by one, and each pollutant concentration value is marked and located on the two-dimensional polar coordinates. The pollution concentration numerical points scattered on the two-dimensional polar coordinates are thermally rendered, and the transition from blue marks to red marks represents the pollutant concentration values ​​from low to high.

[0016] Since the method for analyzing the transport sources of polluted air masses in small-scale areas of industrial parks of the present invention adopts the above-mentioned technical scheme, namely, the method arranges observation sampling points in the industrial park; collects continuous real-time monitoring data of atmospheric pollutant concentrations and meteorological elements at the observation sampling points; and imports a data analysis module to draw a real-time pollutant concentration rose distribution diagram and a time series diagram; embeds the observation sampling points, the pollutant concentration rose distribution diagram and the pollutant concentration time series into the industrial park geographic information system layer; uses the data analysis module to calculate the high-value range of pollutant concentrations, time period, and the trend of meteorological element changes during the observation period, and calculates the backward transport distance and direction range of pollutants with atmospheric diffusion conditions; displays the distribution range of pollution sources within the backward transport range of pollutants on the industrial park geographic information system platform; determines the pollution sources that have significantly contributed to the increase in pollutant concentrations monitored at the observation sampling points, and obtains the transport sources of polluted air masses. The method quickly and effectively traces the transport sources of polluted air masses, and realizes the rapid and effective analysis of the transport sources of polluted air masses in small-scale areas of industrial parks. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments:

[0018] Figure 1 This is a flowchart of the method;

[0019] Figure 2 This is a schematic diagram of atmospheric backward transport during a period of high concentration pollution of atmospheric volatile organic compounds in a certain park;

[0020] Figure 3 This is a schematic diagram of the atmospheric backward transport of vinyl chloride, a key component of VOCs, during a period of high-concentration pollution in a certain industrial park;

[0021] Figure 4 A geographical distribution diagram for possible sources of pollutants analyzed at multiple continuous monitoring points in a certain park;

[0022] Figure 5 This is a schematic diagram of the geographical distribution of possible sources of air pollutants at a single continuous monitoring point in a certain park. DETAILED DESCRIPTION

[0023] Implementation example Figure 1 As shown, the method for analyzing the source of polluted air mass transport in a small-scale area of ​​an industrial park of the present invention includes the following steps:

[0024] Step 1: Deploy single, multi-point and / or gridded observation sampling points in the industrial park;

[0025] Step 2: Collect continuous real-time monitoring data of atmospheric pollutant concentrations and meteorological elements at observation sampling points;

[0026] Step 3: Import the continuous real-time monitoring data into the data analysis module for data statistics and analysis, and draw a real-time pollutant concentration rose distribution diagram and time series diagram;

[0027] Step 4: embed the observation sampling points, pollutant concentration rose distribution map and pollutant concentration time series into the industrial park geographic information system layer;

[0028] Step 5: Use the data analysis module to calculate the range of high-value pollutant concentrations, time periods, and meteorological element change trends during the observation period, and calculate the backward transport distance and direction range of pollutants according to atmospheric diffusion conditions;

[0029] Step 6: Combine the industrial park's pollutant emission inventory, unorganized and organized pollution sources, their main pollutant characteristics, observation sampling points, and surrounding field surveys to display the distribution of pollution sources within the pollutant transport range on the industrial park's geographic information system platform through the data analysis module;

[0030] Step 7: Determine the pollution sources that have significantly contributed to the increase in pollutant concentrations monitored at the observation sampling points and obtain the source of the transport of polluted air masses.

[0031] Preferably, in step 1, an online ambient air monitoring device is set at the observation sampling point, including but not limited to a micro air station online analysis device or an atmospheric volatile organic compound online analysis device.

[0032] Preferably, in step 2, the meteorological elements include wind speed and wind direction.

[0033] Preferably, in the step three, a pollutant concentration rose distribution diagram is drawn to establish two-dimensional polar coordinates, the radius coordinate represents the wind speed, and the azimuth represents the wind direction. The pollutant concentration values, wind speed, wind direction and time measured during the continuous observation period are matched one by one, and each pollutant concentration value is marked and located on the two-dimensional polar coordinates. The pollution concentration numerical points scattered on the two-dimensional polar coordinates are thermally rendered, and the transition from blue marks to red marks represents the pollutant concentration values ​​from low to high.

[0034] The data analysis module in this method is a built-in module of the online ambient air monitoring equipment, which realizes the statistical analysis and result display of continuous data such as online monitoring pollutant concentration, wind speed, wind direction, etc., including calculating the time series changes of pollutant concentration, the rose distribution map of pollutant concentration over a period of time (such as 24 hours) and embedding it into the industrial park geographic information system layer. Then, the high value range of pollutant concentration, time period, average wind speed, dominant wind, and the backward transport distance and direction range of pollutants according to atmospheric diffusion conditions during the observation time are calculated, and the calculation results are displayed in real time through the geographic information system.

[0035] Example 1:

[0036] This method was applied to the source analysis of multi-component characteristic pollutants in a chemical industrial park. The implementation and steps are as follows:

[0037] 1. In this embodiment, the continuous observation sampling point is a single one, and the observation sampling location is near the storage tank area of ​​a chemical industrial park;

[0038] 2. The continuous monitoring equipment installed at the observation sampling points is an online analysis device for atmospheric volatile organic compounds (VOCs). It has a time resolution of 1 hour and can monitor 57 PAMS standard gases, 63 TO15 standard gases, and 5 organic sulfur compounds in the ambient air, and accurately obtain qualitative and quantitative real-time monitoring data. A meteorological analyzer is used for continuous observation of meteorological elements, and the continuous monitoring period is 14 days.

[0039] 3. Based on the observed continuous meteorological parameters (wind speed and direction) and the concentration of atmospheric volatile pollutants, a real-time pollutant concentration rose distribution diagram and a time series diagram are drawn to reflect the distribution of pollutant concentrations under different directions and wind speeds. The diffusion distance and range of pollutants over a period of time are estimated by time, wind speed and wind direction, and displayed in real time through the geographic information system.

[0040] 4. Based on the concentrations of atmospheric volatile organic compounds (VOCs) and key components, time series changes, high concentration peak intervals, key components affecting VOCs concentrations and their proportions, combined with changes in local meteorological conditions and the results shown in the real-time pollutant concentration rose distribution map, the local backward transport range of atmospheric air masses during periods of high concentration pollution of atmospheric pollutants was determined; within this transport range, combined with the industrial park pollution emission inventory and actual on-site data, the production enterprises that contributed to the high-concentration pollution process during the observation period were determined; among them, when the atmospheric volatile organic compound (VOCs) concentration reached its peak, vinyl chloride, propane and acetone contributed the most to the VOCs concentration, accounting for 93.1%; accordingly, the chemical storage tanks in the southeast area of ​​the observation sampling point and the vinyl chloride production enterprises in the southeast direction made important contributions to the increase in VOCs concentration at the measuring point.

[0041] like Figure 2 and Figure 3 As shown in the figure, the black framed disk in the upper left corner (0~360°) represents the wind direction, and the radius represents the wind speed (m / s); the color represents the pollutant concentration, which can be represented by a gradual increase in pollutant concentration from blue to red. Figure 2 and Figure 3 It reflects that the dominant wind during the period when the concentration of atmospheric volatile organic compounds and its key component vinyl chloride reached peak value was southeasterly, with wind speed ranging from 3 to 5 m / s; through the average wind speed estimation, the atmospheric diffusion distance in the past 7 hours was 1.26 km, with southeasterly wind direction.

[0042] Example 2:

[0043] This method is applied to the source analysis of continuous monitoring of atmospheric pollutants in a grid-based distribution system in an industrial park. The implementation method and steps are as follows:

[0044] 1. Based on the production function division of the industrial park, with an emphasis on unorganized and organized emission sources in the production process, implement multi-point or grid-based observation and sampling point layout in accordance with national and industry standards, specifications and technical guidelines;

[0045] 2. The micro air station online analysis equipment used at the observation sampling point can continuously monitor the concentration of particulate matter, sulfur dioxide, nitrogen oxides and other compounds in the ambient air; the meteorological analyzer for continuous observation of meteorological element sampling;

[0046] 3. Using the continuous meteorological parameters and pollutant concentration data measured at each observation sampling point, a real-time pollutant concentration rose distribution map is drawn. The backward diffusion distance and range of pollutants at each observation sampling point over the past period of time are estimated based on time, wind speed, and wind direction, and the map is displayed in real time through the geographic information system.

[0047] 4. Based on the industrial park pollution emission inventory and actual on-site data, determine the production enterprises that contribute to the high-concentration pollution process during the observation period.

[0048] like Figure 4 As shown in the figure, the disks represent the gridded observation sampling points set up in the industrial park, and reflect the continuous meteorological parameters and pollutant concentration data measured at each observation point. The pollutant concentration is represented by color, which can represent a gradual increase in pollutant concentration from blue to red. Figure 5 The figure shows a single continuous monitoring point in the grid observation sampling point. The backward diffusion distance and range of pollutants at this point over a period of time are estimated by time, wind speed and wind direction, and the possible source areas of atmospheric pollutant transport (circular areas and fan-shaped areas in the figure) are determined. The real-time display is achieved through the geographic information system.

[0049] When information such as pollution source emission intensity, emission conditions, topography, and refined source component spectrum data is missing or insufficient, this method can quickly and effectively analyze and trace the sources of polluted air mass transport in typical small-scale areas such as industrial parks.

[0050] This method, based on real-time analysis of pollutant backhaul sources within small-scale regions, integrates with geographic information systems (GIS) and focuses on online monitoring data of pollutant concentrations and meteorological elements. This method enables real-time analysis and tracing of pollutant sources at multiple or single locations within small-scale industrial parks. This provides environmental protection authorities with effective and timely technical analysis data for pollution prevention and control efforts, including source investigation, source identification, and emergency response monitoring within and around industrial parks. It identifies the sources and changes of atmospheric pollutant backhaul during heavy or high-concentration pollution processes in real time, defines the scope of pollution sources, and clarifies pollution prevention and control priorities, providing a basis for decision-making in targeted pollution control. Based on temporal and spatial variations in pollutant concentrations, it objectively tracks and evaluates the effectiveness of ultra-low emission measures implemented by enterprises. Furthermore, the results of pollution source demarcation are dynamic, varying dynamically across seasons and years, regions, emission intensities, and atmospheric diffusion conditions. These results are continuously and intuitively displayed in temporal and spatial terms through the GIS platform.

Claims

1. A method for analyzing the source of polluted air mass transport in a small-scale area of ​​an industrial park, characterized by This method comprises the following steps: Step 1: Deploy single, multi-point and / or gridded observation sampling points in the industrial park; Step 2: Collect continuous real-time monitoring data of atmospheric pollutant concentrations and meteorological elements at observation sampling points; Step 3: Import the continuous real-time monitoring data into the data analysis module for data statistics and analysis, and draw a real-time pollutant concentration rose distribution diagram and time series diagram; Step 4: embed the observation sampling points, pollutant concentration rose distribution map and pollutant concentration time series into the industrial park geographic information system layer; Step 5: Use the data analysis module to calculate the range of high-value pollutant concentrations, time periods, and meteorological element change trends during the observation period, and calculate the backward transport distance and direction range of pollutants according to atmospheric diffusion conditions; Step 6: Combine the industrial park's pollutant emission inventory, unorganized and organized pollution sources, their main pollutant characteristics, observation sampling points, and surrounding field surveys to display the distribution of pollution sources within the pollutant transport range on the industrial park's geographic information system platform through the data analysis module; Step 7: Identify the pollution sources that have significantly contributed to the increase in pollutant concentrations monitored at the observation sampling points and analyze the sources of the transport of polluted air masses; Among them, in the step three, the pollutant concentration rose distribution map is drawn to establish two-dimensional polar coordinates, the radius coordinate represents the wind speed, and the azimuth represents the wind direction. The pollutant concentration values, wind speed, wind direction and time measured during the continuous observation period are matched one by one, and each pollutant concentration value is marked and located on the two-dimensional polar coordinates. The pollution concentration numerical points scattered on the two-dimensional polar coordinates are thermally rendered, and the transition from blue marks to red marks represents the pollutant concentration values ​​from low to high.

2. The method for analyzing the transport sources of polluted air masses in small-scale areas of an industrial park according to claim 1, characterized in that: In the step 1, an online ambient air monitoring device is set at the observation sampling point, including but not limited to a micro air station online analysis device or an atmospheric volatile organic compound online analysis device.

3. The method for analyzing the transport sources of polluted air masses in small-scale areas of an industrial park according to claim 1, characterized in that: In the step 2, the meteorological elements include wind speed and wind direction.

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