Method for estimating tire dust microplastic emission, spatial distribution simulation method and system

Abstract

The application discloses a kind of tire dust micro plastic emission estimation method, spatial distribution simulation method and system. Including: first, the vehicle population of simulation area, vehicle average mileage, road congestion level, road surface material and heavy vehicle quantity proportion are obtained.Then according to road congestion level, road surface material and heavy vehicle quantity proportion, correction coefficient and correction coefficient are set.Fusion vehicle population, vehicle average mileage, correction coefficient and correction coefficient are then estimated tire dust micro plastic emission.Afterwards, the simulation area is spatially discretized, and the road length proportion of grid is counted.Finally, combined with road length proportion and tire dust micro plastic emission, the grid tire dust micro plastic emission of grid is calculated, and the spatial distribution of tire dust micro plastic in simulation area under grid scale is determined.No need for field sampling and test analysis, improve the efficiency of micro plastic spatial distribution simulation, reduce monitoring cost and monitoring time.

Description

Technical Field

[0001] This invention relates to the field of computer-aided simulation technology, specifically to a method for estimating tire dust and microplastic emissions, a method for simulating spatial distribution, and a system thereof. Background Technology

[0002] With the continued growth of the global car fleet, tire wear has become a significant and increasingly serious source of microplastic pollution in the environment. Tire wear particles, after physical breakage and weathering on the road surface, form even smaller tire dust microplastics. These microplastics can enter the surrounding environment through various pathways, including atmospheric diffusion, rainwater runoff, and vehicle disturbance, posing potential risks to soil, water bodies, and even ecosystems. Accurately simulating the spatial distribution of tire dust microplastics is crucial for assessing its environmental risks and developing effective pollution control policies.

[0003] Currently, monitoring and simulation studies on tire microplastics mainly focus on environmental sampling and concentration analysis. Existing technologies primarily determine the concentration of tire microplastics at specific locations through field sampling, such as road dust, combined with laboratory analyses such as spectroscopy and thermal analysis. While this method can provide accurate local data, it is costly, time-consuming, and labor-intensive, and the limited number of sampling points makes it difficult to reflect large-scale, continuous spatial distribution patterns, thus exhibiting the limitation of using a point-to-surface approach. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention proposes a method for estimating tire dust microplastic emissions, a method for simulating spatial distribution, and a system. This method can efficiently and cost-effectively simulate the spatial distribution of tire dust microplastics over a large area. The specific technical solution is as follows:

[0005] In a first aspect, a method for estimating tire dust microplastic emissions is provided, wherein in a first implementable manner of the first aspect, the method includes:

[0006] Obtain the number of vehicles and the average mileage of vehicles in the simulated area, as well as the road congestion level, road surface material, and the proportion of heavy vehicles in the simulated area.

[0007] The road lengths of different pavement materials within the simulation area were counted separately to determine the proportion of pavement materials that are concrete and asphalt.

[0008] The correction coefficient is calculated by combining the set baseline emission factor, the proportion of concrete and asphalt pavement, and the proportion of heavy vehicles.

[0009] Obtain a coefficient reference table that represents the mapping relationship between road congestion levels and correction coefficients;

[0010] Match the road congestion level of the simulated area with the coefficient comparison table to determine the correction coefficient corresponding to the simulated area;

[0011] The tire dust and microplastic emissions in the simulated area are estimated using the vehicle ownership and average vehicle mileage, as well as correction and adjustment factors.

[0012] In conjunction with the first feasible method of the first aspect, in the second feasible method of the first aspect, the estimation of tire dust microplastic emissions in the simulated area includes:

[0013] The tire dust and microplastic emissions in the simulated area were calculated using a pre-defined emission estimation model. The specific calculation formula for the emission estimation model is as follows:

[0014] ;

[0015] in, For simulation area Tire dust and microplastic emissions The correction factor is... For vehicle ownership, This represents the average mileage traveled by the vehicle. The level of road congestion. This is a correction factor.

[0016] Secondly, a method for simulating the spatial distribution of microplastics in tire dust is provided. In a first feasible embodiment of this second aspect, the method includes:

[0017] The tire dust microplastic emission amount in the simulated area is estimated using the tire dust microplastic emission estimation method as described in the first or second feasible method of the first aspect.

[0018] The simulated region is spatially discretized, and the proportion of road lengths with concrete and asphalt as the road surface material in each grid is statistically analyzed.

[0019] By combining the corresponding road length ratio and tire dust microplastic emissions, the tire dust microplastic emissions for each grid are calculated, and the spatial distribution of tire dust microplastics in the simulated area is determined.

[0020] In conjunction with the first feasible method of the second aspect, in the second feasible method of the second aspect, the calculation of the microplastic emissions of tire dust corresponding to the grid includes:

[0021] The road length ratio is used as a weight, and multiplied by the tire dust microplastic emission amount of the simulated area to obtain the grid tire dust microplastic emission amount.

[0022] Thirdly, a tire dust microplastic emission estimation system is provided, wherein in a first implementable manner of the third aspect, it includes:

[0023] The data acquisition module is configured to acquire the number of vehicles and the average mileage of vehicles in the simulated area, as well as the road congestion level, road surface material, and the proportion of heavy vehicles in the simulated area.

[0024] The coefficient determination module is configured to separately count the road lengths of different road surface materials within the simulation area and determine the proportion of road surfaces made of concrete and asphalt.

[0025] The correction coefficient is calculated by combining the set baseline emission factor, the proportion of concrete and asphalt pavement, and the proportion of heavy vehicles.

[0026] Obtain a coefficient reference table that represents the mapping relationship between road congestion levels and correction coefficients;

[0027] Match the road congestion levels of the simulated area with the coefficient comparison table to determine the corresponding correction coefficient for the simulated area;

[0028] The emissions estimation module is configured to estimate tire dust and microplastic emissions in a simulated area using the vehicle inventory and average vehicle mileage, as well as correction and adjustment factors.

[0029] In conjunction with the first possible implementation of the third aspect, in the second possible implementation of the third aspect, the emission estimation module includes:

[0030] The emission calculation unit is configured to calculate the tire dust and microplastic emissions in the simulated area using a set emission estimation model. The specific calculation formula of the emission estimation model is as follows:

[0031] ;

[0032] in, For simulation area Tire dust and microplastic emissions The correction factor is... For vehicle ownership, This represents the average mileage traveled by the vehicle. The level of road congestion. This is a correction factor.

[0033] Fourthly, a system for simulating the spatial distribution of tire dust microplastics is provided. In a first feasible embodiment of the fourth aspect, it includes:

[0034] The estimation module is configured to estimate the tire dust microplastic emissions in a simulated area using the tire dust microplastic emission estimation method as described in the first or second implementable method of the first aspect.

[0035] The discrete module is configured to perform spatial discretization processing on the simulation area and to count the proportion of road lengths with concrete and asphalt materials in each grid.

[0036] The simulation module is configured to calculate the tire dust microplastic emission amount for each grid cell by combining the corresponding road length ratio and tire dust microplastic emission amount, thereby determining the spatial distribution of tire dust microplastics in the simulation area.

[0037] In conjunction with the first possible implementation of the fourth aspect, in the second possible implementation of the fourth aspect, the simulation module includes:

[0038] The grid emission calculation unit is configured to use the road length ratio as a weight and multiply it by the tire dust microplastic emission amount of the simulated area to obtain the grid tire dust microplastic emission amount.

[0039] Beneficial effects: By employing the tire dust microplastic emission estimation method, spatial distribution simulation method, and system of this invention, the tire dust microplastic emission over a large area can be estimated by collecting data on vehicle ownership, average vehicle mileage, road congestion levels, road surface materials, and the proportion of heavy vehicles. This provides a foundation for subsequent large-scale simulation of tire dust microplastic spatial distribution. It eliminates the need for on-site sampling and experimental analysis, improving the efficiency of tire dust microplastic spatial distribution simulation and reducing monitoring costs and time. Attached Figure Description

[0040] To more clearly illustrate the specific embodiments of the present invention, the accompanying drawings used in the specific embodiments will be briefly described below. In all the drawings, the elements or parts are not necessarily drawn to scale.

[0041] Figure 1 A flowchart illustrating a method for estimating tire dust and microplastic emissions according to an embodiment of the present invention;

[0042] Figure 2 A flowchart of a method for simulating the spatial distribution of tire dust microplastics according to an embodiment of the present invention;

[0043] Figure 3 This is a system block diagram of a tire dust and microplastic emission estimation system provided in an embodiment of the present invention;

[0044] Figure 4 This is a system block diagram of a tire dust microplastic spatial distribution simulation system provided in an embodiment of the present invention;

[0045] Figure 5 This is a spatial distribution map of tire dust microplastics in a certain region, simulated using the tire dust microplastic spatial distribution simulation method of the present invention. Detailed Implementation

[0046] The embodiments of the technical solution of the present invention will now be described in detail with reference to the accompanying drawings. These embodiments are merely illustrative of the technical solution of the present invention and are therefore intended to limit the scope of protection of the present invention.

[0047] like Figure 1 The flowchart shown illustrates a method for estimating tire dust and microplastic emissions. This estimation method includes:

[0048] Step 1: Obtain the number of vehicles and the average mileage of vehicles in the simulated area, as well as the road congestion level, road surface material, and the proportion of heavy vehicles in the simulated area.

[0049] Step 2: Determine the correction coefficient and adjustment coefficient corresponding to the simulated area based on the road congestion level, road surface material, and the proportion of heavy vehicles.

[0050] Step 3: Estimate the tire dust and microplastic emissions in the simulated area using the vehicle ownership and average vehicle mileage, as well as correction and adjustment coefficients.

[0051] Specifically, firstly, data on vehicle ownership, average vehicle mileage, road congestion levels, road surface materials, and the proportion of heavy vehicles in the simulated area can be collected from geographical data released by relevant departments. Then, a correction coefficient can be set for the simulated area based on the road congestion level, and a corrective coefficient can be set based on the road surface material and the proportion of heavy vehicles. Finally, by integrating vehicle ownership, average vehicle mileage, corrective coefficients, and corrective coefficients, the tire dust microplastic emissions in the simulated area can be estimated, providing a basis for subsequent large-scale simulations of tire dust microplastic spatial distribution. This eliminates the need for on-site sampling and experimental analysis, improving the efficiency of simulating the spatial distribution of tire dust microplastics and reducing monitoring costs and time.

[0052] In this embodiment, optionally, estimating the tire dust microplastic emissions in the simulated area includes:

[0053] The tire dust and microplastic emissions in the simulated area were calculated using a predefined emission estimation model.

[0054] Specifically, existing studies (Xu Xinyu et al. The impact of tire microplastic pollution on rice growth during tillering stage. Journal of Ecotoxicology, 2024, 19(2): 295-310) and (Wu Lin et al. Study on the chemical composition characteristics of particulate matter from motor vehicle tire wear. China Environmental Science, 2020, 40(4): 1486-1492) have found that when vehicles are in motion, the friction between tires and the road surface generates fine wear particles, usually less than 5 mm in diameter, mostly 0.01-30 μm, which belong to microplastics. Furthermore, the more cars on the road, the more microplastics are generated. Therefore, when assessing tire dust microplastic emissions in a region, the number of vehicles in the assessment area can be selected as a model building factor. Moreover, the longer the vehicle's mileage, the more microplastics are generated; therefore, the average vehicle mileage can also be selected as a calculation factor for tire dust microplastic emissions.

[0055] In this embodiment, optionally, determining the correction coefficient corresponding to the simulation region includes:

[0056] The road lengths of different pavement materials within the simulation area were counted separately to determine the proportion of pavement materials that are concrete and asphalt.

[0057] The correction coefficient is calculated by combining the set baseline emission factor, the proportion of concrete and asphalt pavement, and the proportion of heavy vehicles.

[0058] Specifically, existing research (Chen Yao, Liu Jin, Zhang Yingxin, et al. Sources, migration, diffusion and environmental risks of black microplastics in the environment---tire wear particles. Chinese Journal of Applied Ecology, 2022, 33(8): 2260-2270) has found that different road surface materials affect tire microplastic emissions, among which asphalt or concrete road surfaces have the greatest impact on tire dust microplastic emissions.

[0059] Furthermore, the vehicle fleet includes both heavy-duty and conventional vehicles. Heavy-duty vehicles emit more microplastics than conventional vehicles. Therefore, it is necessary to establish correction coefficients based on the proportion of asphalt or concrete roads in the simulated area and the proportion of heavy-duty vehicles in the fleet. These correction coefficients will be used to correct for tire dust microplastic emissions, thereby improving the accuracy of tire dust microplastic emission estimation.

[0060] When setting the correction coefficient for the simulation area, the total length of roads with concrete pavement material and the total length of roads with asphalt pavement material in the simulation area can be determined by statistical analysis of the collected road pavement materials. The total length of concrete roads and the total length of asphalt roads are added together and then divided by the total length of all drivable roads in the simulation area to calculate the proportion of roads with concrete and asphalt pavement materials.

[0061] If the road surface material of drivable roads in the simulation area is only divided into concrete and other materials, the total length of roads with concrete material and the total length of drivable roads can be counted using ArcGIS software. The proportion of concrete road surface can be calculated based on the statistical results, and the correction coefficient can be calculated based on the calculation results.

[0062] If the road surface material of drivable roads in the simulation area is only divided into asphalt and other materials (such as dirt roads), then only the total length of asphalt roads and the total length of drivable roads are counted. The proportion of concrete road surface is calculated based on the statistical results, and the correction coefficient is calculated based on the calculation results.

[0063] If the road surface material of drivable roads in the simulation area is divided into concrete, asphalt and other materials, then the total length of roads with concrete material and roads with asphalt material, as well as the total length of drivable roads, are counted. The proportion of concrete road surface is calculated based on the statistical results, and the correction coefficient is calculated based on the calculation results.

[0064] Based on the initially set baseline emission factor, road surface proportion, and heavy vehicle proportion, the correction coefficient is calculated as follows:

[0065] ;

[0066] in, The proportion of concrete and asphalt in the pavement. The proportion of heavy vehicles. Based on the existing literature "Microscopic characteristics and release of tire wear particles under different road surface conditions: device simulation and actual environmental measurement" (Cheng Jun, Master's thesis, Jinan University), the baseline emission factor can be set to 0.033 g / km.

[0067] In this embodiment, optionally, determining the correction coefficient corresponding to the simulation region includes:

[0068] Obtain a coefficient reference table that represents the mapping relationship between road congestion levels and correction coefficients;

[0069] The road congestion levels of the simulated area are matched with the coefficient comparison table to determine the correction coefficient corresponding to the simulated area.

[0070] Specifically, existing research (Chen Yao et al. Sources, migration, diffusion and environmental risks of black microplastics in the environment - tire wear particles. Chinese Journal of Applied Ecology, 2022, 33(8): 2260-2270.) has found that car tires generate more microplastics under traffic congestion. Therefore, this application also sets a correction coefficient based on the traffic congestion index to correct the calculation results of tire dust microplastic emissions.

[0071] By setting the correction coefficient for the simulated area, a coefficient lookup table representing the mapping relationship between road congestion levels and correction coefficients can be directly called to match the road congestion level of the simulated area with the coefficient lookup table, thereby determining the correction coefficient for the simulated area. In this embodiment, the coefficient lookup table is as follows:

[0072]

[0073] The final emission estimation model is calculated using the following formula:

[0074] ;

[0075] in, For simulation area Tire dust and microplastic emissions The correction factor is... For vehicle ownership, This represents the average mileage traveled by the vehicle. The level of road congestion. This is a correction factor.

[0076] In this embodiment, vehicle ownership, average vehicle mileage, and the proportion of heavy vehicles in the simulated area can be collected from annual transportation development reports published by relevant departments. Traffic congestion levels and road surface materials in the simulated area can also be collected from relevant travel big data platforms. Using the aforementioned emission estimation model, tire dust microplastic emissions over a large area can be estimated based on the collected vehicle ownership and average vehicle mileage data, providing a foundation for subsequent large-scale simulations of tire dust microplastic spatial distribution. This eliminates the need for on-site sampling and experimental analysis, improving the efficiency of simulating the spatial distribution of tire dust microplastics and reducing monitoring costs and time.

[0077] like Figure 2 The flowchart shown illustrates a method for simulating the spatial distribution of microplastics in tire dust. This simulation method includes:

[0078] Step S1: Using the above-mentioned method for estimating tire dust and microplastic emissions, estimate the tire dust and microplastic emissions in the simulated area.

[0079] Step S2: Spatial discretization is performed on the simulated area, and the proportion of road lengths with concrete and asphalt as the road surface material in each grid is calculated.

[0080] Step S3: Combine the corresponding road length ratio and tire dust microplastic emissions to calculate the tire dust microplastic emissions for each grid cell and determine the spatial distribution of tire dust microplastics in the simulated area.

[0081] Specifically, firstly, the tire dust microplastic emissions in the simulated area can be calculated using the aforementioned estimation method. Since the calculated tire dust microplastic emissions represent the overall microplastic emissions of the simulated area, their spatial distribution is not precise enough. Therefore, after estimating the tire dust microplastic emissions in the simulated area, the area can be spatially discretized into multiple grids. The length of roads with concrete and asphalt surfaces within each grid is then calculated. Combined with the total length of all roads passable by vehicles within the simulated area, the proportion of concrete and asphalt surfaces in each grid is calculated. Finally, by combining the corresponding road length proportions with the tire dust microplastic emissions, the grid-specific tire dust microplastic emissions for each grid can be calculated, thus obtaining the spatial distribution of tire dust microplastics in the simulated area at the grid scale.

[0082] Specifically, first, a 2000m*2000m grid layer is created using the Create fishnet function in ArcGIS 10.8, and each grid is encoded. Then, the Intersect spatial overlay algorithm in ArcGIS 10.8 is used to spatially overlay the grid layer and the road vector layer of the simulated area. The dissolve tool is then used to fuse the overlay layers according to their attributes, thus obtaining the length of roads with concrete and asphalt pavement materials within each 2000m*2000m grid. The obtained road lengths are summed, and combined with the total length of all roads passable by vehicles in the simulated area, the proportion of road lengths with concrete and asphalt pavement materials in each grid is calculated. Finally, this proportion of road lengths is used as a weight and multiplied by the estimated tire dust microplastic emissions in the simulated area to obtain the grid tire dust microplastic emissions for each grid, thereby determining the spatial distribution of tire dust microplastics in the simulated area at the grid scale. Figure 5 As shown.

[0083] like Figure 3 The system block diagram shown is for a tire dust and microplastic emissions estimation system. The estimation system includes:

[0084] The data acquisition module is configured to acquire the number of vehicles and the average mileage of vehicles in the simulated area, as well as the road congestion level, road surface material, and the proportion of heavy vehicles in the simulated area.

[0085] The coefficient determination module is configured to determine the correction coefficient and adjustment coefficient corresponding to the simulation area based on the road congestion level, road surface material and the proportion of heavy vehicles.

[0086] The emissions estimation module is configured to estimate tire dust and microplastic emissions in a simulated area using the vehicle inventory and average vehicle mileage, as well as correction and adjustment factors.

[0087] Specifically, the estimation system includes a data acquisition module, a coefficient determination module, and an emission estimation module. The data acquisition module collects data from geographic information released by relevant departments, including vehicle ownership, average vehicle mileage, road congestion level, road surface material, and the proportion of heavy vehicles in the simulated area. The coefficient determination module sets correction coefficients for the simulated area based on road congestion level and adjustment coefficients based on road surface material and the proportion of heavy vehicles. The emission estimation module integrates vehicle ownership, average vehicle mileage, adjustment coefficients, and correction coefficients to estimate tire dust microplastic emissions in the simulated area, providing a foundation for subsequent large-scale simulations of tire dust microplastic spatial distribution. This eliminates the need for on-site sampling and experimental analysis, improving the efficiency of simulating the spatial distribution of tire dust microplastics and reducing monitoring costs and time.

[0088] like Figure 4 The system block diagram shown is for a tire dust microplastic spatial distribution simulation system. The simulation system includes:

[0089] The estimation module is configured to use the above-mentioned tire dust microplastic emission estimation method to estimate the tire dust microplastic emission in the simulated area.

[0090] The discrete module is configured to perform spatial discretization processing on the simulation area and to count the proportion of road lengths with concrete and asphalt materials in each grid.

[0091] The simulation module is configured to calculate the tire dust microplastic emission amount for each grid cell by combining the corresponding road length ratio and tire dust microplastic emission amount, thereby determining the spatial distribution of tire dust microplastics in the simulation area.

[0092] Specifically, the simulation system includes an estimation module, a discretization module, and a simulation module. The estimation module calculates the tire dust microplastic emissions in the simulated area using the estimation methods described above. The discretization module spatially discretizes the simulated area into multiple grids, counts the lengths of roads with concrete and asphalt surfaces within each grid, sums all the counted road lengths, and divides this sum by the total length of all traversable roads in the simulated area to calculate the proportion of concrete and asphalt roads in each grid. The simulation module combines this proportion of road lengths with the tire dust microplastic emissions to calculate the tire dust microplastic emissions for each grid, thus obtaining the spatial distribution of tire dust microplastics in the simulated area at the grid scale.

[0093] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A method for estimating tire dust and microplastic emissions, characterized in that, include: Obtain the number of vehicles and the average mileage of vehicles in the simulated area, as well as the road congestion level, road surface material, and the proportion of heavy vehicles in the simulated area. The road lengths of different pavement materials within the simulation area were counted separately to determine the proportion of pavement materials that are concrete and asphalt. The correction coefficient is calculated by combining the set baseline emission factor, the proportion of concrete and asphalt pavement, and the proportion of heavy vehicles. Obtain a coefficient reference table that represents the mapping relationship between road congestion levels and correction coefficients; Match the road congestion level of the simulated area with the coefficient comparison table to determine the correction coefficient corresponding to the simulated area; Based on the vehicle ownership and average vehicle mileage, as well as correction and adjustment coefficients, the tire dust and microplastic emissions in the simulated area are calculated using a set emission estimation model. The specific calculation formula for the emission estimation model is as follows: ； in, For simulation area Tire dust and microplastic emissions The correction factor is... For vehicle ownership, This represents the average mileage traveled by the vehicle. The level of road congestion. This is a correction factor.

2. A method for simulating the spatial distribution of microplastics in tire dust, characterized in that, include: The tire dust microplastic emission estimation method as described in claim 1 is used to estimate the tire dust microplastic emission in the simulated area. The simulated region is spatially discretized, and the proportion of road lengths with concrete and asphalt as the road surface material in each grid is statistically analyzed. By combining the corresponding road length ratio and tire dust microplastic emissions, the tire dust microplastic emissions for each grid are calculated, and the spatial distribution of tire dust microplastics in the simulated area is determined.

3. The method for simulating the spatial distribution of tire dust microplastics according to claim 2, characterized in that, Calculate the microplastic emissions from tire dust corresponding to the grid, including: The road length ratio is used as a weight, and multiplied by the tire dust microplastic emission amount of the simulated area to obtain the grid tire dust microplastic emission amount.

4. A tire dust and microplastic emission estimation system, characterized in that, include: The data acquisition module is configured to acquire the number of vehicles and the average mileage of vehicles in the simulated area, as well as the road congestion level, road surface material, and the proportion of heavy vehicles in the simulated area. The coefficient determination module is configured to separately count the road lengths of different road surface materials within the simulation area and determine the proportion of road surfaces made of concrete and asphalt. The correction coefficient is calculated by combining the set baseline emission factor, the proportion of concrete and asphalt pavement, and the proportion of heavy vehicles. Obtain a coefficient reference table that represents the mapping relationship between road congestion levels and correction coefficients; Match the road congestion level of the simulated area with the coefficient comparison table to determine the correction coefficient corresponding to the simulated area; The emissions estimation module is configured to calculate the tire dust and microplastic emissions in the simulated area based on the vehicle ownership and average vehicle mileage, as well as correction and adjustment coefficients, using a set emissions estimation model. The specific calculation formula of the emissions estimation model is as follows: ； in, For simulation area Tire dust and microplastic emissions The correction factor is... For vehicle ownership, This represents the average mileage traveled by the vehicle. The level of road congestion. This is a correction factor.

5. A system for simulating the spatial distribution of microplastics in tire dust, characterized in that, include: The estimation module is configured to estimate the tire dust and microplastic emissions in the simulated area using the tire dust and microplastic emission estimation method as described in claim 1. The discrete module is configured to perform spatial discretization processing on the simulation area and to count the proportion of road lengths with concrete and asphalt materials in each grid. The simulation module is configured to calculate the tire dust microplastic emission amount for each grid cell by combining the corresponding road length ratio and tire dust microplastic emission amount, thereby determining the spatial distribution of tire dust microplastics in the simulation area.

6. The tire dust microplastic spatial distribution simulation system according to claim 5, characterized in that, The simulation module includes: The grid emission calculation unit is configured to use the road length ratio as a weight and multiply it by the tire dust microplastic emission amount of the simulated area to obtain the grid tire dust microplastic emission amount.

Images