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Outline
Dust pollution data (particles<920μm) collected across China from 2000 to 2023 were integrated. The results showedthat heavy metal contamination in road dust was generally higher than in soils, yet evaluation methods produced inconsistent conclusions. Therefore, a risk assessment system tailored to the unique characteristics of dust was considered essential. The spatial distribution of urban road dust pollution in China showed a steadily increasing severity from the northwest to the southeast, and pollution sources were found to be complex. Source control alone was found to be insufficient to ensure long-term effectiveness, necessitating an adaptive governance approach. Based on the resilience governance concept, anovel urban road dust pollution risk assessment system was constructedusing the Pressure-State-Response (PSR) model, Analytic Hierarchy Process (AHP), and entropy weight method, incorporating a socio-ecological perspective. An empirical analysis of 31 cities classified them into five clusters: high-pressure-risk, high-response-risk, combined high-state-response-risk, combined high-state-pressure-risk, and low-risk—yielding tiered and category-specific recommendations: priority population-exposure studies in dense traffic areas, establishment of dust-monitoring and feedback networks, targeted abatement of centralized emission sources, enhanced early-warning systems for extreme-weather dust events, and fixed-site surveillance in sensitive zones.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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