AI Article Synopsis
- - This paper discusses a method that combines tire wear models with rainfall-runoff simulations to analyze how tire wear accumulates on roads and affects stormwater runoff.
- - The study introduces a tire wear buildup model that considers factors like vehicle kilometers traveled, type, speed, and road conditions, with application in twelve San Francisco Bay watersheds.
- - Findings show tire wear buildup rates of 0.4 to 0.51 kg/km per hour and event mean concentrations in stormwater ranging from 0.5 to 67 μg/L, with a significant correlation to collected outlet samples, indicating potential for addressing tire wear as a stormwater pollutant.
Article Abstract
This paper presents an approach to integrate tire wear buildup and rainfall-runoff models to simulate tire wear buildup on road surfaces and its subsequent transport in stormwater runoff events. To do so, a buildup model is presented based on vehicle kilometers traveled, vehicle type, vehicle speed, and road roughness within a watershed. This buildup model was integrated into an EPA SWMM model that simulated the runoff of tire wear particles in twelve watersheds in the San Francisco, CA bay area. Results demonstrate that tire wear particle buildup within the watersheds ranged between 0.4 and 0.51 (kg/km) per hour. Applied to the SWMM model, total event mean tire wear concentrations ranged between 0.5 and 67 μg/L. These concentrations were linearly correlated to depth-integrated samples collected at the outlet of each of the watersheds (R = 0.66). The proposed modeling approach can ultimately be applied to create solutions to an emerging stormwater contaminant.
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| http://dx.doi.org/10.1016/j.jenvman.2023.118958 | DOI Listing |
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