IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i12p4960-d1412139.html
   My bibliography  Save this article

Analysis of Spatial and Temporal Distribution and Changes in Extreme Climate Events in Northwest China from 1960 to 2021: A Case Study of Xinjiang

Author

Listed:
  • Yang Yang

    (School of Economics and Management, Shihezi University, Shihezi 832003, China)

  • Wei Chang

    (School of Economics and Management, Shihezi University, Shihezi 832003, China)

Abstract

Xinjiang, as a climate-sensitive region in Northwest China, holds significant importance in studying extreme climate events for agricultural production and socioeconomic development. Using data spanning from 1960 to 2021 from 52 meteorological stations across Xinjiang, encompassing 23 indices of extreme climate events, the 5-year moving average, linear trend fitting, and inverse distance weighting (IDW) are used to analyze the distribution patterns and temporal changes in extreme climatic phenomena within the region. The results indicate that, over the period from 1960 to 2021, the Amplitude Temperature Index, Heat Index, and Warm Spell Duration Index in Xinjiang exhibited a marked increasing trend, whereas the Cold Index and Cold Spell Duration Index displayed a significant decreasing trend. The range of changes in the extreme temperature indices from 1990 to 2021 is higher than that of 1960 to 1989. The areas with high values of amplitude temperature extreme indices are primarily concentrated in the southern part, while the areas with high values of cold indices are mainly distributed in the northern part. The upward/downward trends all account for over 80.00% of the entire region. The precipitation scale indices, precipitation day indices, intense precipitation index, and extreme precipitation index all showed a significant growth trend from 1960 to 2021, and the range of change in the extreme precipitation indices from 1990 to 2021 was lower than that from 1960 to 1989. Furthermore, areas with high precipitation values and regions with high trend values of climate tendency are predominantly concentrated in the northern and western parts of Xinjiang, with over 71.00% of the entire region experiencing an upward trend. The research results provide theoretical foundations for formulating climate risk strategies in the northwest region of China.

Suggested Citation

  • Yang Yang & Wei Chang, 2024. "Analysis of Spatial and Temporal Distribution and Changes in Extreme Climate Events in Northwest China from 1960 to 2021: A Case Study of Xinjiang," Sustainability, MDPI, vol. 16(12), pages 1-24, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:4960-:d:1412139
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/12/4960/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/12/4960/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lingling Zhao & Jun Xia & Leszek Sobkowiak & Zhonggen Wang & Fengrui Guo, 2012. "Spatial Pattern Characterization and Multivariate Hydrological Frequency Analysis of Extreme Precipitation in the Pearl River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(12), pages 3619-3637, September.
    2. A. Kay & H. Davies & V. Bell & R. Jones, 2009. "Comparison of uncertainty sources for climate change impacts: flood frequency in England," Climatic Change, Springer, vol. 92(1), pages 41-63, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rei Itsukushima & Yohei Ogahara & Yuki Iwanaga & Tatsuro Sato, 2018. "Investigating the Influence of Various Stormwater Runoff Control Facilities on Runoff Control Efficiency in a Small Catchment Area," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    2. Fatih Tosunoglu & Ibrahim Can, 2016. "Application of copulas for regional bivariate frequency analysis of meteorological droughts in Turkey," 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. 82(3), pages 1457-1477, July.
    3. Li-Chi Chiang & Indrajeet Chaubey & Nien-Ming Hong & Yu-Pin Lin & Tao Huang, 2012. "Implementation of BMP Strategies for Adaptation to Climate Change and Land Use Change in a Pasture-Dominated Watershed," IJERPH, MDPI, vol. 9(10), pages 1-31, October.
    4. Nima Fayaz & Laura E. Condon & David G. Chandler, 2020. "Evaluating the Sensitivity of Projected Reservoir Reliability to the Choice of Climate Projection: A Case Study of Bull Run Watershed, Portland, Oregon," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 1991-2009, April.
    5. Simon Gosling & Glenn McGregor & Jason Lowe, 2012. "The benefits of quantifying climate model uncertainty in climate change impacts assessment: an example with heat-related mortality change estimates," Climatic Change, Springer, vol. 112(2), pages 217-231, May.
    6. Gholamreza Roshan & AbdolAzim Ghanghermeh & Touraj Nasrabadi & Jafar Meimandi, 2013. "Effect of Global Warming on Intensity and Frequency Curves of Precipitation, Case Study of Northwestern Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1563-1579, March.
    7. Indira Pokhrel & Ajay Kalra & Md Mafuzur Rahaman & Ranjeet Thakali, 2020. "Forecasting of Future Flooding and Risk Assessment under CMIP6 Climate Projection in Neuse River, North Carolina," Forecasting, MDPI, vol. 2(3), pages 1-23, August.
    8. Viola, Flavio M. & Paiva, Susana L.D. & Savi, Marcelo A., 2010. "Analysis of the global warming dynamics from temperature time series," Ecological Modelling, Elsevier, vol. 221(16), pages 1964-1978.
    9. Carolina Natel Moura & Sílvio Luís Rafaeli Neto & Claudia Guimarães Camargo Campos & Eder Alexandre Schatz Sá, 2020. "Hydrological Impacts of Climate Change in a Well-preserved Upland Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2255-2267, June.
    10. Jaewon Jung & Sungeun Jung & Junhyeong Lee & Myungjin Lee & Hung Soo Kim, 2021. "Analysis of Small Hydropower Generation Potential: (2) Future Prospect of the Potential under Climate Change," Energies, MDPI, vol. 14(11), pages 1-26, May.
    11. Yi Yang & Jianping Tang, 2023. "Downscaling and uncertainty analysis of future concurrent long-duration dry and hot events in China," Climatic Change, Springer, vol. 176(2), pages 1-25, February.
    12. Peng Shi & Miao Wu & Simin Qu & Peng Jiang & Xueyuan Qiao & Xi Chen & Mi Zhou & Zhicai Zhang, 2015. "Spatial Distribution and Temporal Trends in Precipitation Concentration Indices for the Southwest China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 3941-3955, September.
    13. Tobias Vetter & Julia Reinhardt & Martina Flörke & Ann Griensven & Fred Hattermann & Shaochun Huang & Hagen Koch & Ilias G. Pechlivanidis & Stefan Plötner & Ousmane Seidou & Buda Su & R. Willem Vervoo, 2017. "Evaluation of sources of uncertainty in projected hydrological changes under climate change in 12 large-scale river basins," Climatic Change, Springer, vol. 141(3), pages 419-433, April.
    14. Alison Kay, 2022. "Differences in hydrological impacts using regional climate model and nested convection-permitting model data," Climatic Change, Springer, vol. 173(1), pages 1-19, July.
    15. S. Camici & L. Brocca & T. Moramarco, 2017. "Accuracy versus variability of climate projections for flood assessment in central Italy," Climatic Change, Springer, vol. 141(2), pages 273-286, March.
    16. Shirin Karimi & Bahman Jabbarian Amiri & Arash Malekian, 2019. "Similarity Metrics-Based Uncertainty Analysis of River Water Quality Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 1927-1945, April.
    17. Eun-Sung Chung & Kwangjae Won & Yeonjoo Kim & Hosun Lee, 2014. "Water Resource Vulnerability Characteristics by District’s Population Size in a Changing Climate Using Subjective and Objective Weights," Sustainability, MDPI, vol. 6(9), pages 1-17, September.
    18. Florence Habets & Julien Boé & Michel Déqué & Agnès Ducharne & Simon Gascoin & Ali Hachour & Eric Martin & Christian Pagé & Eric Sauquet & Laurent Terray & Dominique Thiéry & Ludovic Oudin & Pascal Vi, 2013. "Impact of climate change on the hydrogeology of two basins in northern France," Climatic Change, Springer, vol. 121(4), pages 771-785, December.
    19. Richard Arsenault & François Brissette & Jean-Stéphane Malo & Marie Minville & Robert Leconte, 2013. "Structural and Non-Structural Climate Change Adaptation Strategies for the Péribonka Water Resource System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2075-2087, May.
    20. L. Wang & P. Gelder & J. Vrijling & S. Maskey & R. Ranasinghe, 2015. "Risk-Averse Economic Optimization in the Adaptation of River Dikes to Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 359-377, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:4960-:d:1412139. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.