IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i17p10663-d898800.html
   My bibliography  Save this article

Exploring the Variations and Influencing Factors of Land Surface Temperature in the Urban Agglomeration on the Northern Slope of the Tianshan Mountains

Author

Listed:
  • Hongwu Liang

    (School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China)

  • Alimujiang Kasimu

    (School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China
    Research Centre for Urban Development of Silk Road Economic Belt, Xinjiang Normal University, Urumqi 830054, China
    Xinjiang Key Laboratory of Lake Environment and Resources in Arid Zone, Urumqi 830054, China)

  • Haitao Ma

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yongyu Zhao

    (School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China)

  • Xueling Zhang

    (School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China)

  • Bohao Wei

    (School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China)

Abstract

Changes in land surface temperature (LST) can have serious impacts on the water cycle and ecological environment evolution, which in turn threaten the sustainability of ecosystems. The urban agglomeration on the northern slopes of the Tianshan Mountains (UANSTM) is located in the arid and semi-arid regions of northwest China, with an extremely fragile ecological environment and sensitive to climate change. However, studies on the LST of the UANSTM have not received much attention. Therefore, this study explored the spatial distribution pattern, fluctuation characteristics, and influencing factors of the LST of the UANSTM from 2005 to 2021 based on MODIS time series LST data and the geo-detector model with optimal parameters. The results show that the UANSTM is dominated by medium- and high-temperature classes, with high- and extremely high-temperature classes clustered in Turpan City. The daytime and nighttime LST patterns are significantly different, with a typical “daytime cold island and nighttime heat island” feature in the oasis region. During 2005–2021, LST fluctuated greatly in the northwestern part of the UANSTM, with LST showing an increasing trend during both daytime and nighttime, and the warming rate was more intense during daytime than nighttime. The increasing trend of LST in Urumqi, Changji Hui Autonomous Prefecture, Shihezi, and Wujiaqu is very significant and will remain consistent in the future. Precipitation, DEM, and AOD are the most important influencing factors of LST in the UANSTM, where precipitation and DEM are negatively correlated with LST, and AOD is positively correlated with LST. Land cover factors (LULC, NDVI,, and NDBSI) are the next most influential, and socioeconomic factors (NTL, GDP, and POP) are the least influential. The results of this study can provide a scientific reference for the conservation and sustainable development of the ecological environment of the UANSTM.

Suggested Citation

  • Hongwu Liang & Alimujiang Kasimu & Haitao Ma & Yongyu Zhao & Xueling Zhang & Bohao Wei, 2022. "Exploring the Variations and Influencing Factors of Land Surface Temperature in the Urban Agglomeration on the Northern Slope of the Tianshan Mountains," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10663-:d:898800
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/17/10663/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/17/10663/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Haochen Yu & Zhengfu Bian & Shouguo Mu & Junfang Yuan & Fu Chen, 2020. "Effects of Climate Change on Land Cover Change and Vegetation Dynamics in Xinjiang, China," IJERPH, MDPI, vol. 17(13), pages 1-25, July.
    2. Ouyang, Xiao & Tang, Lisha & Wei, Xiao & Li, Yonghui, 2021. "Spatial interaction between urbanization and ecosystem services in Chinese urban agglomerations," Land Use Policy, Elsevier, vol. 109(C).
    3. Xiufang Zhu & Shunlin Liang & YaoZhong Pan, 2012. "Observational evidence of the cooling effect of agricultural irrigation in Jilin, China," Climatic Change, Springer, vol. 114(3), pages 799-811, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lina Tang & Alimujiang Kasimu & Haitao Ma & Mamattursun Eziz, 2023. "Monitoring Multi-Scale Ecological Change and Its Potential Drivers in the Economic Zone of the Tianshan Mountains’ Northern Slopes, Xinjiang, China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    2. Miyesier Jumai & Alimujiang Kasimu & Hongwu Liang & Lina Tang & Yimuranzi Aizizi & Xueling Zhang, 2023. "A Study on the Spatial and Temporal Variation of Summer Surface Temperature in the Bosten Lake Basin and Its Influencing Factors," Land, MDPI, vol. 12(6), pages 1-18, June.
    3. Xueling Zhang & Alimujiang Kasimu & Hongwu Liang & Bohao Wei & Yimuranzi Aizizi, 2022. "Spatial and Temporal Variation of Land Surface Temperature and Its Spatially Heterogeneous Response in the Urban Agglomeration on the Northern Slopes of the Tianshan Mountains, Northwest China," IJERPH, MDPI, vol. 19(20), pages 1-21, October.

    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. Weichen Zhang & Yuyang Fan & Bojie Wang, 2024. "Ecological Network Construction Based on Ecosystem Services and Landscape Pattern Indices in the Tabu River Basin," Land, MDPI, vol. 13(12), pages 1-15, December.
    2. Yang Zhang & Nazhalati Naerkezi & Yun Zhang & Bo Wang, 2024. "Multi-Scenario Land Use/Cover Change and Its Impact on Carbon Storage Based on the Coupled GMOP-PLUS-InVEST Model in the Hexi Corridor, China," Sustainability, MDPI, vol. 16(4), pages 1-22, February.
    3. Yao Zhao & Xiali Shang & Junhui Liang & Zhen Lin & Ziqing Liu, 2025. "Exploring the Potential of Cross-City Recreation to Improve Park Green Space Accessibility: The Case of China’s Capital Economic Circle," Land, MDPI, vol. 14(10), pages 1-25, September.
    4. Peng Cao & Xiao Ouyang & Jun Xu, 2022. "How Do Ecosystem Services Affect Poverty Reduction Efficiency? A Panel Data Analysis of State Poverty Counties in China," IJERPH, MDPI, vol. 19(3), pages 1-17, February.
    5. Tan, Yanan & Jiang, Guoliang & Merajuddin, Shaheem Sayed & Zhao, Fang, 2025. "Urbanization and tourism economic development," Finance Research Letters, Elsevier, vol. 73(C).
    6. Yan Wu & Yingmei Wu & Chen Li & Binpin Gao & Kejun Zheng & Mengjiao Wang & Yuhong Deng & Xin Fan, 2022. "Spatial Relationships and Impact Effects between Urbanization and Ecosystem Health in Urban Agglomerations along the Belt and Road: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
    7. Wenyue Hou & Xiangyu Zheng & Tao Liang & Xincong Liu & Hengyu Pan, 2025. "Improving Ecosystem Services Production Efficiency by Optimizing Resource Allocation in 130 Cities of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 17(16), pages 1-20, August.
    8. Shirazi, Sana Zeeshan & Liu, Buchun & Liu, Yuan & Han, Rui & Zhu, Yongchang & Qiao, Oumeng & Che, Honglei & Zhang, Yiming & Mei, Xurong, 2024. "Understanding climate variability and its impact on drought occurrences in maize producing regions: Evidence from north of China," Agricultural Water Management, Elsevier, vol. 306(C).
    9. Lisha Tang & Hualou Long & Daniel P. Aldrich, 2023. "Putting a Price on Nature: Ecosystem Service Value and Ecological Risk in the Dongting Lake Area, China," IJERPH, MDPI, vol. 20(5), pages 1-15, March.
    10. Shuxian Wang & Chao Liu & Xinhai Lu & Xia Hong & Shuangyu Yang, 2025. "How does ecological compensation change in Hubei Province based on a multi-scenario simulation of ecosystem services value?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-21, December.
    11. Luwen Liu & Jiahui Wu & Liyan Yang & Guiling Tang & Wanxu Chen & Haifeng Wu & Yan Chen, 2024. "Conflict or Coordination? Ecosystem Services Supply and Demand in Chinese Urban Agglomerations," Land, MDPI, vol. 13(10), pages 1-18, October.
    12. Jian Chang & Wanhua Li & Yaodong Zhou & Peng Zhang & Hengxin Zhang, 2022. "Impact of Public Service Quality on the Efficiency of the Water Industry: Evidence from 147 Cities in China," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    13. Lisha Tang & Jingzhi Li & Chenmei Xie & Miao Wang, 2025. "Multi-Scenario Simulation of Ecosystem Service Value in Xiangjiang River Basin, China, Based on the PLUS Model," Land, MDPI, vol. 14(7), pages 1-22, July.
    14. Qian Zhang & Decai Tang & Brandon J. Bethel, 2021. "Impact of Urbanization on the Environmental Regulation Efficiency in the Yangtze River Basin Based on the Empirical Analysis of Spatial Econometrics," IJERPH, MDPI, vol. 18(17), pages 1-20, August.
    15. Weisong Li & Wanxu Chen & Jiaojiao Bian & Jun Xian & Li Zhan, 2022. "Impact of Urbanization on Ecosystem Services Balance in the Han River Ecological Economic Belt, China: A Multi-Scale Perspective," IJERPH, MDPI, vol. 19(21), pages 1-18, November.
    16. Shutong Yang & Peng Shi & Peng Li & Zhanbin Li & Hongbo Niu & Pengju Zu & Lingzhou Cui, 2022. "Ecosystem Services Trade-Offs and Synergies following Vegetation Restoration on the Loess Plateau of China," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    17. Junjie Ma & Zhixiong Mei & Xinyu Wang & Sichen Li & Jiangsen Liang, 2024. "Ecological Security Pattern Construction and Multi-Scenario Risk Early Warning (2020–2035) in the Guangdong–Hong Kong–Macao Greater Bay Area, China," Land, MDPI, vol. 13(8), pages 1-21, August.
    18. Chen Ying & Ruolin Meng, 2025. "Dynamic Supply–Demand Relationships of Food Provision in China: A Supply–Demand–Flow Perspective," Land, MDPI, vol. 14(9), pages 1-24, August.
    19. Xueyan Zheng & Minghui Zhu & Yan Shi & Hui Pei & Wenbin Nie & Xinge Nan & Xinyi Zhu & Guofu Yang & Zhiyi Bao, 2023. "Equity Analysis of the Green Space Allocation in China’s Eight Urban Agglomerations Based on the Theil Index and GeoDetector," Land, MDPI, vol. 12(4), pages 1-19, March.
    20. Saleh Qanazi & Ihab H. Hijazi & Isam Shahrour & Rani El Meouche, 2024. "Exploring Urban Service Location Suitability: Mapping Social Behavior Dynamics with Space Syntax Theory," Land, MDPI, vol. 13(5), pages 1-16, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:14:y:2022:i:17:p:10663-:d:898800. 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.