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Article

Spatiotemporal Evolution and Influencing Factors of Aerosol Optical Depth in Zhejiang Province: Insights from Land Use Dynamics and Transportation Networks Based on Remote Sensing

1
Institute of Remote Sensing and Earth Sciences, School of Information Science and Engineering, Hangzhou Normal University, Hangzhou 311121, China
2
Hangzhou Meteorological Bureau, Hangzhou 310051, China
3
Zhejiang Provincial Key Laboratory of Wetland Intelligent Monitoring and Ecological Restoration, Hangzhou 311121, China
4
Zhejiang Meteorological Service Center, Hangzhou 310002, China
*
Authors to whom correspondence should be addressed.
Sustainability 2025, 17(13), 6126; https://doi.org/10.3390/su17136126
Submission received: 11 June 2025 / Revised: 30 June 2025 / Accepted: 1 July 2025 / Published: 3 July 2025

Abstract

Aerosol optical depth (AOD) serves as a critical indicator for atmospheric aerosol monitoring and air quality assessment, and quantifies the radiative attenuation caused by airborne particulate matter. This study uses MODIS remote sensing imagery together with land use transition datasets (2000–2020) and road network density metrics (2014–2020), to investigate the spatiotemporal evolution of AOD in Zhejiang Province and its synergistic correlations with urbanization patterns and transportation infrastructure. By integrating MODIS_1KM AOD product, grid-based road network density mapping, land use dynamic degree modeling, and transfer matrix analysis, this study systematically evaluates the interdependencies among aerosol loading, impervious surface expansion, and transportation network intensification. The results indicate that during the study period (2000–2020), the provincial AOD level shows a significant declining trend, with obvious spatial heterogeneity: the AOD values in eastern coastal industrial zones and urban agglomerations continue to increase, with lower values dominating southwestern forested highlands. Meanwhile, statistical analyses confirm highly positive correlations between AOD, impervious surface coverage, and road network density, emphasizing the dominant role of anthropogenic activities in aerosol accumulation. These findings provide actionable insights for enhancing land-use zoning, minimizing vehicular emissions, and developing spatially targeted air quality management strategies in rapidly urbanizing regions. This study provides a solid scientific foundation for advancing environmental sustainability by supporting policy development that balances urban expansion and air quality. It contributes to building more sustainable and resilient cities in Zhejiang Province.
Keywords: aerosol optical depth; road network density; land use; correlation analysis aerosol optical depth; road network density; land use; correlation analysis

Share and Cite

MDPI and ACS Style

Wang, Q.; Wang, B.; Kong, W.; Wu, J.; Yu, Z.; Wu, X.; Yuan, X. Spatiotemporal Evolution and Influencing Factors of Aerosol Optical Depth in Zhejiang Province: Insights from Land Use Dynamics and Transportation Networks Based on Remote Sensing. Sustainability 2025, 17, 6126. https://doi.org/10.3390/su17136126

AMA Style

Wang Q, Wang B, Kong W, Wu J, Yu Z, Wu X, Yuan X. Spatiotemporal Evolution and Influencing Factors of Aerosol Optical Depth in Zhejiang Province: Insights from Land Use Dynamics and Transportation Networks Based on Remote Sensing. Sustainability. 2025; 17(13):6126. https://doi.org/10.3390/su17136126

Chicago/Turabian Style

Wang, Qi, Ben Wang, Wanlin Kong, Jiali Wu, Zhifeng Yu, Xiwen Wu, and Xiaohong Yuan. 2025. "Spatiotemporal Evolution and Influencing Factors of Aerosol Optical Depth in Zhejiang Province: Insights from Land Use Dynamics and Transportation Networks Based on Remote Sensing" Sustainability 17, no. 13: 6126. https://doi.org/10.3390/su17136126

APA Style

Wang, Q., Wang, B., Kong, W., Wu, J., Yu, Z., Wu, X., & Yuan, X. (2025). Spatiotemporal Evolution and Influencing Factors of Aerosol Optical Depth in Zhejiang Province: Insights from Land Use Dynamics and Transportation Networks Based on Remote Sensing. Sustainability, 17(13), 6126. https://doi.org/10.3390/su17136126

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