IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i24p13088-d700286.html
   My bibliography  Save this article

Quantitative Analysis of a Spatial Distribution and Driving Factors of the Urban Heat Island Effect: A Case Study of Fuzhou Central Area, China

Author

Listed:
  • Meizi You

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Riwen Lai

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Jiayuan Lin

    (College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Zhesheng Zhu

    (School of Forestry, Northeast Forestry University, Harbin 150000, China)

Abstract

Land surface temperature (LST) is a joint product of physical geography and socio-economics. It is important to clarify the spatial heterogeneity and binding factors of the LST for mitigating the surface heat island effect (SUHI). In this study, the spatial pattern of UHI in Fuzhou central area, China, was elucidated by Moran’s I and hot-spot analysis. In addition, the study divided the drivers into two categories, including physical geographic factors (soil wetness, soil brightness, normalized difference vegetation index (NDVI) and modified normalized difference water index (MNDWI), water density, and vegetation density) and socio-economic factors (normalized difference built-up index (NDBI), population density, road density, nighttime light, park density). The influence analysis of single factor on LST and the factor interaction analysis were conducted via Geodetector software. The results indicated that the LST presented a gradient layer structure with high temperature in the southeast and low temperature in the northwest, which had a significant spatial association with industry zones. Especially, LST was spatially repulsive to urban green space and water body. Furthermore, the four factors with the greatest influence ( q -Value) on LST were soil moisture (influence = 0.792) > NDBI (influence = 0.732) > MNDWI (influence = 0.618) > NDVI (influence = 0.604). The superposition explanation degree (influence (Xi ∩ Xj)) is stronger than the independent explanation degree (influence (Xi)). The highest and the lowest interaction existed in ”soil wetness ∩ MNDWI” (influence = 0.864) and “nighttime light ∩ population density” (influence = 0.273), respectively. The spatial distribution of SUHI and its driving mechanism were also demonstrated, providing theoretical guidance for urban planners to build thermal environment friendly cities.

Suggested Citation

  • Meizi You & Riwen Lai & Jiayuan Lin & Zhesheng Zhu, 2021. "Quantitative Analysis of a Spatial Distribution and Driving Factors of the Urban Heat Island Effect: A Case Study of Fuzhou Central Area, China," IJERPH, MDPI, vol. 18(24), pages 1-19, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:13088-:d:700286
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/24/13088/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/24/13088/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Majid Amani-Beni & Biao Zhang & Gao-Di Xie & Yunting Shi, 2019. "Impacts of Urban Green Landscape Patterns on Land Surface Temperature: Evidence from the Adjacent Area of Olympic Forest Park of Beijing, China," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    2. Kun Wang & Yingkai Tang & Yaozhi Chen & Longwen Shang & Xuanming Ji & Mengchao Yao & Ping Wang, 2020. "The Coupling and Coordinated Development from Urban Land Using Benefits and Urbanization Level: Case Study from Fujian Province (China)," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
    3. Liu, Chao & Xu, Yueqing & Lu, Xinhai & Han, Jing, 2021. "Trade-offs and driving forces of land use functions in ecologically fragile areas of northern Hebei Province: Spatiotemporal analysis," Land Use Policy, Elsevier, vol. 104(C).
    4. Jeong-Min Son & Jeong-Hee Eum & Dong-Pil Kim & Jino Kwon, 2018. "Management Strategies of Thermal Environment in Urban Area Using the Cooling Function of the Mountains: A Case Study of the Honam Jeongmaek Areas in South Korea," Sustainability, MDPI, vol. 10(12), pages 1-17, December.
    5. Cui, Ying & Yan, Da & Hong, Tianzhen & Ma, Jingjin, 2017. "Temporal and spatial characteristics of the urban heat island in Beijing and the impact on building design and energy performance," Energy, Elsevier, vol. 130(C), pages 286-297.
    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. He Liu & Xueming Li & Yingying Guan & Songbo Li & He Sun, 2023. "Comprehensive Evaluation and Analysis of Human Settlements’ Suitability in the Yangtze River Delta Based on Multi-Source Data," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
    2. You, Meizi & Guan, ChengHe, 2024. "Does self-containment of spatial scale and land use function contribute to mitigate urban heat island effects? Lessons from new towns in Shanghai," Land Use Policy, Elsevier, vol. 146(C).
    3. Taher Safarrad & Mostafa Ghadami & Andreas Dittmann, 2022. "Effects of COVID-19 Restriction Policies on Urban Heat Islands in Some European Cities: Berlin, London, Paris, Madrid, and Frankfurt," IJERPH, MDPI, vol. 19(11), pages 1-25, May.

    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. Bao Meng & Shaoyao Zhang & Wei Deng & Li Peng & Peng Zhou & Hao Zhang, 2023. "Identification and Analysis of Territorial Spatial Utilization Conflicts in Yibin Based on Multidimensional Perspective," Land, MDPI, vol. 12(5), pages 1-20, May.
    2. Alenka Fikfak & Kristijan Lavtižar & Janez Peter Grom & Saja Kosanović & Martina Zbašnik-Senegačnik, 2020. "Study of Urban Greenery Models to Prevent Overheating of Parked Vehicles in P + R Facilities in Ljubljana, Slovenia," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    3. Ling Cheng & Haiyang Cui & Tian Liang & Dan Huang & Yuanxia Su & Zhiyong Zhang & Chuanhao Wen, 2023. "Study on the Trade-Off Synergy Relationship of “Production-Living-Ecological” Functions in Chinese Counties: A Case Study of Chongqing Municipality," Land, MDPI, vol. 12(5), pages 1-27, May.
    4. Jiansheng Wu & Xuechen Li & Si Li & Chang Liu & Tengyun Yi & Yuhao Zhao, 2022. "Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020," IJERPH, MDPI, vol. 19(9), pages 1-20, May.
    5. Shunqian Gao & Liu Yang & Hongzan Jiao, 2022. "Changes in and Patterns of the Tradeoffs and Synergies of Production-Living-Ecological Space: A Case Study of Longli County, Guizhou Province, China," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    6. Shi, Luyang & Luo, Zhiwen & Matthews, Wendy & Wang, Zixuan & Li, Yuguo & Liu, Jing, 2019. "Impacts of urban microclimate on summertime sensible and latent energy demand for cooling in residential buildings of Hong Kong," Energy, Elsevier, vol. 189(C).
    7. Malin Song & Weiliang Tao, 2022. "Coupling and coordination analysis of China's regional urban‐rural integration and land‐use efficiency," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1384-1413, September.
    8. Meng, Fanchao & Zhang, Lei & Ren, Guoyu & Zhang, Ruixue, 2023. "Impacts of UHI on variations in cooling loads in buildings during heatwaves: A case study of Beijing and Tianjin, China," Energy, Elsevier, vol. 273(C).
    9. Rumeng Yin & Xin Li & Bin Fang, 2023. "The Relationship between the Spatial and Temporal Evolution of Land Use Function and the Level of Economic and Social Development in the Yangtze River Delta," IJERPH, MDPI, vol. 20(3), pages 1-23, January.
    10. Xie, Xiaoxiong & Sahin, Ozge & Luo, Zhiwen & Yao, Runming, 2020. "Impact of neighbourhood-scale climate characteristics on building heating demand and night ventilation cooling potential," Renewable Energy, Elsevier, vol. 150(C), pages 943-956.
    11. Xu, Xiaoyu & González, Jorge E. & Shen, Shuanghe & Miao, Shiguang & Dou, Junxia, 2018. "Impacts of urbanization and air pollution on building energy demands — Beijing case study," Applied Energy, Elsevier, vol. 225(C), pages 98-109.
    12. Abdul Naser Majidi & Zoran Vojinovic & Alida Alves & Sutat Weesakul & Arlex Sanchez & Floris Boogaard & Jeroen Kluck, 2019. "Planning Nature-Based Solutions for Urban Flood Reduction and Thermal Comfort Enhancement," Sustainability, MDPI, vol. 11(22), pages 1-27, November.
    13. Li, Honglian & Yang, Yi & Lv, Kailin & Liu, Jing & Yang, Liu, 2020. "Compare several methods of select typical meteorological year for building energy simulation in China," Energy, Elsevier, vol. 209(C).
    14. Zhang, Jing & Li, Sinan & Lin, Naifa & Lin, Yue & Yuan, Shaofeng & Zhang, Ling & Zhu, Jinxia & Wang, Ke & Gan, Muye & Zhu, Congmou, 2022. "Spatial identification and trade-off analysis of land use functions improve spatial zoning management in rapid urbanized areas, China," Land Use Policy, Elsevier, vol. 116(C).
    15. Jiaqi Zhang & Hui Yong & Ning Lv, 2024. "Balancing Productivity and Sustainability: Insights into Cultivated Land Use Efficiency in Arid Region of Northwest China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 13828-13856, September.
    16. Shuping Fan & Boping Yu & Juan Yue & Yishi Mi & Jiaru Cheng & Ran Yu & Xingwu Xi, 2023. "A Study on the Measurement of Comparative Advantage of Land Use Efficiency, Spatiotemporal Heterogeneity and Its Influencing Factors—An Empirical Test from the Panel Data of China’s Provincial Sub-Ind," Sustainability, MDPI, vol. 15(9), pages 1-27, April.
    17. Nana Guo & Xinbin Liang & Lingran Meng, 2022. "Evaluation of the Thermal Environmental Effects of Urban Ecological Networks—A Case Study of Xuzhou City, China," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    18. Shuang Lu & Zibo Zhou & Mingyang Houding & Liu Yang & Qiang Gao & Chenglong Cao & Xiang Li & Ziqiang Bu, 2023. "Study into the Evolution of Spatiotemporal Characteristics and Driving Mechanisms of Production–Living–Ecological Spaces on the Indochina Peninsula," Land, MDPI, vol. 12(9), pages 1-28, September.
    19. Mohammad Mansourmoghaddam & Negar Naghipur & Iman Rousta & Seyed Kazem Alavipanah & Haraldur Olafsson & Ashehad A. Ali, 2023. "Quantifying the Effects of Green-Town Development on Land Surface Temperatures (LST) (A Case Study at Karizland (Karizboom), Yazd, Iran)," Land, MDPI, vol. 12(4), pages 1-19, April.
    20. Guoliang Xu & Xiaonan Yin & Guangdong Wu & Ning Gao, 2022. "Rethinking the Contribution of Land Element to Urban Economic Growth: Evidence from 30 Provinces in China," Land, MDPI, vol. 11(6), pages 1-16, May.

    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:jijerp:v:18:y:2021:i:24:p:13088-:d:700286. 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.