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Exploring Spatial Distribution of Pollen Allergenic Risk Zones in Urban China

Author

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  • Junfeng Xu

    (Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetland and Regional Change Studies, Hangzhou 311121, China)

  • Zhanqing Cai

    (Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetland and Regional Change Studies, Hangzhou 311121, China)

  • Tiantian Wang

    (Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetland and Regional Change Studies, Hangzhou 311121, China)

  • Guang Liu

    (Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetland and Regional Change Studies, Hangzhou 311121, China)

  • Peng Tang

    (Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetland and Regional Change Studies, Hangzhou 311121, China)

  • Xinyue Ye

    (Department of Geography, Kent State University, Kent, OH 44240, USA)

Abstract

The growth of urban areas and the impact of urban ecosystems on public health and urban sustainability have been leading issues of both academic and public interest. More than 100 million Chinese people suffer from pollen allergy. Pollen allergy induces bronchitis, bronchial asthma, pulmonary heart disease, and may even be life-threatening. Thus, pollen allergies greatly affect the daily life of individuals. High-resolution WorldView-2 remote sensing data and vegetation distribution features were used to detect the dominant tree species in the study area and obtain canopy distribution information on different tree species. In this way, the sources of pollen from different tree species were identified. Using remote sensing technology, the overall accuracy of tree species recognition for the study area exceeds 86%. Most plants in the study area flower during the spring, so the pollen allergenic risk zones are extensive during spring and sparse in fall. Based on the spatial ranges of pollen dispersal during different seasons, areas were identified that might contain pollen concentrations detrimental to pollen-sensitive individuals.

Suggested Citation

  • Junfeng Xu & Zhanqing Cai & Tiantian Wang & Guang Liu & Peng Tang & Xinyue Ye, 2016. "Exploring Spatial Distribution of Pollen Allergenic Risk Zones in Urban China," Sustainability, MDPI, vol. 8(10), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:10:p:978-:d:79233
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    Cited by:

    1. Kuroda, Yuta, 2022. "The effect of pollen exposure on consumption behaviors: Evidence from home scanner data," Resource and Energy Economics, Elsevier, vol. 67(C).

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