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Effect of Land Use and Cover Change on Air Quality in Urban Sprawl

Author

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  • Bin Zou

    (Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Changsha 410083, China
    School of Geosciences and Info-Physics, Central South University, Changsha 410083, China)

  • Shan Xu

    (School of Geosciences and Info-Physics, Central South University, Changsha 410083, China)

  • Troy Sternberg

    (School of Geography and Environment, University of Oxford, Oxford OX1 2JD, UK)

  • Xin Fang

    (School of Geosciences and Info-Physics, Central South University, Changsha 410083, China)

Abstract

Due to the frequent urban air pollution episodes worldwide recently, decision-makers and government agencies are struggling for sustainable strategies to optimize urban land use/cover change (LUCC) and improve the air quality. This study, thus, aims to identify the underlying relationships between PM 10 concentration variations and LUCC based on the simulated PM 10 surfaces in 2006 and 2013 in the Changsha-Zhuzhou-Xiangtan agglomeration (CZT), using a regression modeling approach. LUCC variables and associated landscape indexes are developed and correlated with PM 10 concentration variations at grid level. Results reveal that the overall mean PM 10 concentrations in the CZT declined from 106.74 μg/m 3 to 94.37 μg/m 3 between 2006 and 2013. Generally, variations of PM 10 concentrations are positively correlated with the increasing built-up area, and negatively correlated with the increase in forests. In newly-developed built-up areas, PM 10 concentrations declined with the increment of the landscape shape index and the Shannon diversity index and increased with the growing Aggregation index and Contagion index. In other areas, however, the reverse happens. These results suggest that LUCC caused by urban sprawl might be an important factor for the PM 10 concentration variation in the CZT. The influence of the landscape pattern on PM 10 concentration may vary in different stages of urban development.

Suggested Citation

  • Bin Zou & Shan Xu & Troy Sternberg & Xin Fang, 2016. "Effect of Land Use and Cover Change on Air Quality in Urban Sprawl," Sustainability, MDPI, vol. 8(7), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:7:p:677-:d:74153
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    References listed on IDEAS

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    1. Bin Zou & Fen Peng & Neng Wan & Keita Mamady & Gaines J Wilson, 2014. "Spatial Cluster Detection of Air Pollution Exposure Inequities across the United States," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-14, March.
    2. Hsiao-Lan Liu & Yu-Sheng Shen, 2014. "The Impact of Green Space Changes on Air Pollution and Microclimates: A Case Study of the Taipei Metropolitan Area," Sustainability, MDPI, vol. 6(12), pages 1-29, December.
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    2. Chengming Li & Kuo Zhang & Zhaoxin Dai & Zhaoting Ma & Xiaoli Liu, 2020. "Investigation of the Impact of Land-Use Distribution on PM 2.5 in Weifang: Seasonal Variations," IJERPH, MDPI, vol. 17(14), pages 1-20, July.
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    5. Chen, Yufan & Xu, Yong & Wang, Fuyuan & Shi, Fanji, 2022. "Mapping the emission of air pollution sources based on land-use classification: A case study of Shengzhou, China," Land Use Policy, Elsevier, vol. 117(C).
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    9. Daroonwan Kamthonkiat & Juthasinee Thanyapraneedkul & Nithima Nuengjumnong & Sarawut Ninsawat & Kessinee Unapumnuk & Tuong Thuy Vu, 2021. "Identifying priority air pollution management areas during the burning season in Nan Province, Northern Thailand," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5865-5884, April.
    10. Zhipeng Zhu & Guangyu Wang & Jianwen Dong, 2019. "Correlation Analysis between Land Use/Cover Change and Air Pollutants—A Case Study in Wuyishan City," Energies, MDPI, vol. 12(13), pages 1-15, July.
    11. Wen Qu & Hao Lian & Yao Wang & Yan Ma, 2023. "Spatiotemporal Evolution of the Coupling Coordination Relationship of “Population–Environment” Development in the Xi’an Metropolitan Area," Sustainability, MDPI, vol. 15(5), pages 1-22, March.

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