Method and device for determining road surface heavy metal source and electronic equipment
A road surface, heavy metal technology, applied in material excitation analysis, instruments, complex mathematical operations, etc., can solve problems such as the inability to determine the source of urban road surface pollution, and achieve the effect of ensuring accuracy
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Embodiment 1
[0155] The implementation case area is located in Shenzhen City, Guangdong Province, and 32 typical road sections are selected as sampling points. The surface of all road sections is relatively flat and paved with asphalt. At the same time, the particles of different particle sizes and dissolved pollutants on the road surface were collected. In order to ensure that the accumulation of pollutants on the road surface had reached an equilibrium state, all samples in the study were collected when the last rainfall ended more than 7 days ago. Sampling point collection 4m 2 For road surface samples, simultaneously detect the total solid mass and particle mass of all particle sizes for each sample. At the same time, pollution source particles were collected, including brake pad particles LD, brake shoe particles SD, gasoline engine emission particles GE, diesel generator emission particles DE, tire wear particles TW, road asphalt particles AS, road aggregate particles AG and road su...
Embodiment 2
[0161] Quantitative calculation of sources of heavy metals on urban road surfaces with fewer simulated samples
[0162] Similar to Implementation Case 1, this implementation case is located in Shenzhen City, Guangdong Province. Collect road surface particles and pollution source particles of 32 typical road sections, including brake pad particles LD, brake shoe particles SD, gasoline engine emission particles GE, diesel generator emission particles DE, tire wear particles TW, road asphalt particles AS, road bone feed particles AG and road surrounding soil US. Pb, Zn, Cr, Cu, Ni and Fe in all road surface particles and pollution source particle samples were detected by inductively coupled plasma optical emission spectrometer, and the arithmetic mean of each metal concentration in road surface particles and pollution source particle samples was calculated by Matlab and the standard deviation of the lognormal distribution.
[0163] In this implementation, use 5000 groups of ran...
Embodiment 3
[0165] Quantitative calculation of sources of heavy metals on urban road surfaces with a small relative error
[0166] Similar to Implementation Case 1, this implementation case is located in Shenzhen City, Guangdong Province. Collect road surface particles and pollution source particles of 32 typical road sections, including brake pad particles LD, brake shoe particles SD, gasoline engine emission particles GE, diesel generator emission particles DE, tire wear particles TW, road asphalt particles AS, road bone feed particles AG and road surrounding soil US. Pb, Zn, Cr, Cu, Ni and Fe in all road surface particles and pollution source particle samples were detected by inductively coupled plasma optical emission spectrometer, and the arithmetic mean of each metal concentration in road surface particles and pollution source particle samples was calculated by Matlab and the standard deviation of the lognormal distribution.
[0167] In this implementation, 50,000 groups of random...
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