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Assessment on Temporal and Spatial Variation Analysis of Extreme Temperature Indices: A Case Study of the Yangtze River Basin

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  • Guangxun Shi

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China)

  • Peng Ye

    (Urban Planning and Development Institute, Yangzhou University, Yangzhou 225127, China
    College of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China)

Abstract

Extreme temperature change is one of the most urgent challenges facing our society. In recent years, extreme temperature has exerted a considerable influence on society and the global ecosystem. The Yangtze River Basin is not only an important growth belt of China’s social and economic development, but also the main commodity grain base in China. The purpose of this study is to study the extreme temperature indices in the Yangtze River Basin. In this study, the Mann–Kendall nonparametric test and R/S analysis method are used to analyze the spatial and temporal variation characteristics of major extreme temperature indices in the Yangtze River Basin from 1970 to 2014. The main conclusions are drawn as follows: (1) The occurrence of cold days (TX10), cold nights (TN10), ice days (ID), and frost days (FD) decrease at a rate of −0.66–−2.5 d/10a, respectively, while the occurrence of warm days (TX90), warm nights (TN90), summer days (SU), and tropical nights (TR) show statistically significant increasing trends at a rate of 2.2–4.73 d/10a. (2) The trends of the coldest day (TXn), coldest night (TNn), warmest day (TXx), warmest night (TNx), and diurnal temperature range (DTR), range from −0.003 to 0.5 °C/10a. (3) Spatially, the main cold indices and warm indices increase and decrease the most in the upper and lower reaches of the Yangtze River Basin. (4) DTR and TN90 show no abrupt changes; the main cold indices changed abruptly in the 1980s and the main warm indices changed abruptly in the late 1990s and early 2000s. (5) The extreme temperature indices are affected by the atmospheric circulation and urban heat island effect in the Yangtze River Basin. Relative indices and absolute indices will continue to maintain the present trend in the future. In short, the main cold indices of extreme temperature indices show a decreasing trend, the main warm indices of extreme temperature indices show an increasing trend, and cold indices and warm indices will continue to maintain the present trend in the future in the Yangtze River Basin. Extreme temperature has an important impact on agriculture, social, and economic development. Therefore, extreme temperature prediction and monitoring must be strengthened to reduce losses caused by extreme temperature disasters and to promote the sustainable development in Yangtze River Basin.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:20:p:10936-:d:658910
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    References listed on IDEAS

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    1. Deng, Xiangzheng & Huang, Jikun & Rozelle, Scott & Uchida, Emi, 2008. "Growth, population and industrialization, and urban land expansion of China," Journal of Urban Economics, Elsevier, vol. 63(1), pages 96-115, January.
    2. Guilin Liu & Luocheng Zhang & Bin He & Xuan Jin & Qian Zhang & Bam Razafindrabe & Hailin You, 2015. "Temporal changes in extreme high temperature, heat waves and relevant disasters in Nanjing metropolitan region, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(2), pages 1415-1430, March.
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    1. Mikio Ishiwatari & Daisuke Sasaki, 2023. "Special Issue “Disaster Risk Reduction and Climate Change Adaptation: An Interdisciplinary Approach”," IJERPH, MDPI, vol. 20(3), pages 1-4, February.
    2. 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.

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