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The Impact of Urbanization on Extreme Climate Indices in the Yangtze River Economic Belt, China

Author

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  • Wentao Yang

    (National-Local Joint Engineering Laboratory of Geospatial Information Technology, Hunan University of Science and Technology, Xiangtan 411100, China
    Department of Geographical Information Science, Hunan University of Science and Technology, Xiangtan 411100, China)

  • Yining Yan

    (National-Local Joint Engineering Laboratory of Geospatial Information Technology, Hunan University of Science and Technology, Xiangtan 411100, China
    Department of Geographical Information Science, Hunan University of Science and Technology, Xiangtan 411100, China)

  • Zhibin Lin

    (Department of Geographical Information Science, Hunan University of Science and Technology, Xiangtan 411100, China)

  • Yijiang Zhao

    (Department of Computer Science, Hunan University of Science and Technology, Xiangtan 411100, China)

  • Chaokui Li

    (National-Local Joint Engineering Laboratory of Geospatial Information Technology, Hunan University of Science and Technology, Xiangtan 411100, China
    Department of Geographical Information Science, Hunan University of Science and Technology, Xiangtan 411100, China)

  • Xinchang Zhang

    (Department of Geographical Information Science, Guangzhou University, Guangzhou 510006, China)

  • Liang Shan

    (Guangzhou Zengdian Institute of Science and Technology, Guangzhou 511300, China
    Department of Business Management, Central South University, Changsha 410083, China)

Abstract

Urbanization has been proven to be a critical factor in modifying local or regional climate characteristics. This research aims to examine the impact of urbanization on extreme climate indices in the Yangtze River Economic Belt (YREB), China, by using meteorological observation data from 2000 to 2019. Three main steps are involved. First, a clustered threshold method based on remote-sensing nighttime light data is used to extract urban built-up areas, and urban and rural meteorological stations can be identified based on the boundary of urban built-up areas. Nonparametric statistical tests, namely, the Mann–Kendall test and Sen’s slope, are then applied to measure the trend characteristics of extreme climate indices. Finally, the urbanization contribution rate is employed to quantify the impact of urbanization on extreme climate indices. The results indicate that urbanization has a more serious impact on extreme temperature indices than on extreme precipitation indices in the YREB. For extreme temperature indices, urbanization generally causes more (less) frequent occurrence of warm (cold) events. The impact of urbanization on different extreme temperature indices has heterogeneous characteristics, including the difference in contamination levels and spatial variation of the impacted cities. For extreme precipitation indices, only a few cities impacted by urbanization are detected, but among these cities, urbanization contributes to increasing the trend of all indices.

Suggested Citation

  • Wentao Yang & Yining Yan & Zhibin Lin & Yijiang Zhao & Chaokui Li & Xinchang Zhang & Liang Shan, 2022. "The Impact of Urbanization on Extreme Climate Indices in the Yangtze River Economic Belt, China," Land, MDPI, vol. 11(9), pages 1-16, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1379-:d:895297
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    References listed on IDEAS

    as
    1. Guangxun Shi & Peng Ye, 2021. "Assessment on Temporal and Spatial Variation Analysis of Extreme Temperature Indices: A Case Study of the Yangtze River Basin," IJERPH, MDPI, vol. 18(20), pages 1-21, October.
    2. Jin-Ming Feng & Yong-Li Wang & Zhu-Guo Ma, 2015. "Long-term simulation of large-scale urbanization effect on the East Asian monsoon," Climatic Change, Springer, vol. 129(3), pages 511-523, April.
    3. Junliang Qiu & Xiankun Yang & Bowen Cao & Zhilong Chen & Yuxuan Li, 2020. "Effects of Urbanization on Regional Extreme-Temperature Changes in China, 1960–2016," Sustainability, MDPI, vol. 12(16), pages 1-29, August.
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