Spatiotemporal Characteristics and Influencing Factors of Urban Heat Island Based on Geographically Weighted Regression Model: A Case Study of Urumqi City

Yunfei Ma, Yusuyunjiang Mamitimin (), Bahejiayinaer Tiemuerbieke, Rebiya Yimaer, Meiling Huang, Han Chen, Tongtong Tao and Xinyi Guo
Additional contact information
Yunfei Ma: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
Yusuyunjiang Mamitimin: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
Bahejiayinaer Tiemuerbieke: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
Rebiya Yimaer: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
Meiling Huang: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
Han Chen: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
Tongtong Tao: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
Xinyi Guo: College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China

Land, 2023, vol. 12, issue 11, 1-20

Abstract: Rapid urbanization threatens the ecological environment and quality of life by significantly altering land use and land cover (LULC) and heat distribution. One of the most significant environmental consequences of urbanization is the urban heat island effect (UHI). This study investigated the spatiotemporal characteristics of the SUHI and its relationship with land use types from 2000 to 2020 in Urumqi City, located in an arid and semi-arid region of northwestern China. Additionally, the ordinary least squares (OLS) and geographically weighted regression (GWR) models were used to quantify the relationship between the land surface temperature (LST) and influencing factors. The results showed that the area of the lower surface temperature classes has decreased significantly. In comparison, the area of the higher surface temperature classes has experienced a steady rise over the last two decades. From 2000 to 2020, the share of the area occupied by the temperature range <30 °C decreased by 67.09%. In addition, the LST varied significantly from one category of land use to another. The average LST of built-up land and unused land was higher than the average LST of other land use types in all years, while the average LST of grassland, forest land, and water bodies was significantly lower. Finally, the results of the GWR model showed that R 2 and adjusted R 2 of the GWR were 0.75 and 0.73, obviously larger than the 0.58 of the OLS models. The GWR model’s higher R 2 and adjusted R 2 compared to the OLS model indicates that the relationship between LST and the influencing factors underlying the model may exhibit spatial non-stationarity, and the GWR model performs better than the OLS model. The results of both OLS and GWR models show that the normalized difference vegetation index (NDVI) and slope were negatively correlated with LST, while the urban index (UI) and normalized difference built-up index (NDBI) were positively correlated with LST. The findings of the study indicate that increasing green spaces and limiting the unplanned expansion of urban areas are effective measures to mitigate the UHIs in the study area. The results of the study may provide valuable insights into the spatiotemporal characteristics of the UHI and its drivers. Understanding the spatiotemporal characteristics of the UHI can help urban planners, policymakers, and scientists develop more effective urban cooling strategies and improve the urban thermal environment.

Keywords: arid and semi-arid regions; Urumqi City; land use and land cover; land surface temperature; urban heat island; geographically weighted regression (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/12/11/2012/pdf (application/pdf)
https://www.mdpi.com/2073-445X/12/11/2012/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:11:p:2012-:d:1273319

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().