Regional heterogeneity and driving factors of road runoff pollution from urban areas in China

Qian Wang; Jieguang Huang; Nini Chang; Zhenzhen Yu

doi:10.1007/s10653-022-01398-3

Regional heterogeneity and driving factors of road runoff pollution from urban areas in China

Environ Geochem Health. 2023 Jun;45(6):3041-3054. doi: 10.1007/s10653-022-01398-3. Epub 2022 Sep 23.

Authors

Qian Wang^{1

2}, Jieguang Huang³, Nini Chang⁴, Zhenzhen Yu^{5

6}

Affiliations

¹ Key Lab of Organic Polymer Photoelectric Materials, School of Electronic Information, Xijing University, Xi'an, 710123, Shaanxi, China. 15249181902@163.com.
² Xi'an Key Laboratory of Advanced Photo-Electronics Materials and Energy Conversion Device, School of Electronic Information, Xijing University, Xi'an, 710123, Shaanxi, China. 15249181902@163.com.
³ Industry School of Modern Post, Xi'an University of Posts and Telecommunications, Xi'an, 710061, China.
⁴ Xianyang Academy of Planning and Design, No. 16 Caihong 2nd Road, Xianyang, 712000, China.
⁵ Key Lab of Organic Polymer Photoelectric Materials, School of Electronic Information, Xijing University, Xi'an, 710123, Shaanxi, China.
⁶ Xi'an Key Laboratory of Advanced Photo-Electronics Materials and Energy Conversion Device, School of Electronic Information, Xijing University, Xi'an, 710123, Shaanxi, China.

PMID: 36151357
DOI: 10.1007/s10653-022-01398-3

Abstract

Due to the multiple influences of natural and anthropogenic factors, stormwater runoff from urban roads generally presents heterogeneous pollution among cities. The identification of regional heterogeneity and related driving factors of road runoff pollution is of significance for the optimal management of road runoff pollution according to the local circumstances. In this study, the regional heterogeneity of urban road runoff pollution from fourteen representative cities in China is analyzed for four typical pollutants including total suspended solids (TSS), chemical oxygen demand (COD), total nitrogen (TN) and total phosphorus (TP). The results show wide variations in TSS, COD, TN and TP pollution among cities, with the average event mean concentrations ranging from 77.0 to 1347.9, 31.4 to 488.1, 0.81 to 8.46, 0.139 to 1.930 mg/L, respectively. One-way ANOVA analyses demonstrate significant differences in road runoff pollution among cities. The TSS pollution is significantly heavier for northern and northwestern inland cities than that for eastern and southern cities. Pearson correlation analysis and Stepwise linear regression analysis are performed to identify and rank the influence of climate, population, economy, industry structure, traffic and environmental quality. Direct relationships of road runoff pollution are detected with PM_2.5, PM₁₀, secondary industry, tertiary industry, annual rainfall, and urban green coverage, among which PM₁₀ and urban green coverage are the most important and common factors exerting positive and negative influences on road runoff pollution, respectively. Based on the findings of this work, improvement of atmospheric particulate pollution and increase in urban greenness are recommended measures to manage the road runoff pollution. Furthermore, the traffic-related emissions accompanying the upgrading of industry structure should be effectively controlled to attenuate the TSS and COD pollution in road runoff.

Keywords: China; Control strategy; Influential factor; Regional heterogeneity; Runoff pollution; Urban road.

MeSH terms

China
Cities
Environmental Monitoring
Nitrogen / analysis
Phosphorus / analysis
Rain
Water Movements
Water Pollutants, Chemical* / analysis

Substances

Water Pollutants, Chemical
Phosphorus
Nitrogen

Abstract

MeSH terms

Substances

Grants and funding