Effects of urban growth on the land surface temperature: a case study in Taiyuan, China

被引:23
作者
Luo, Huifen [1 ]
Wu, Junlin [2 ]
机构
[1] Shanxi Normal Univ, Coll Geog Sci, Linfen 041000, Shanxi, Peoples R China
[2] Shanxi Huaye Survey Engn Technol Co Ltd, Bur Met Geol Bur, Taiyuan 030002, Peoples R China
关键词
Urban heat island change; Land surface temperature; Urban thermal field variance index; Impervious surface; Taiyuan city; HEAT-ISLAND; IMPERVIOUS SURFACE; CITY; INDEX; ALGORITHM; IMPACT; AREA; TM;
D O I
10.1007/s10668-020-01087-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the present study, Landsat series remote sensing image are utilized to investigate the spatial and temporal changes of the urban heat island (UHI) in the Taiyuan city from 1990, 2004 and 2014. The main influencing factors of the UHI are analyzed in this regard. The single window algorithm is adopted to invert the land surface temperature (LST) from the thermal infrared data and analyze the spatiotemporal pattern of the LST in the studied area. Then, the urban thermal field variance index (UTFVI), normalized difference vegetation index (NDVI) and biophysical composition index (BCI) are calculated in accordance with the LST. Moreover, the degree of impervious surface of the study area is divided according to the BCI value. By analyzing the correlation between the LST, NDVI and the BCI, the influences of two major factors, green space and impervious surface, on urban heat islands are discussed. It is found that the average surface temperature of the Taiyuan city has increased by 5.17 degrees C during the past 24 years from 1990 to 2014, while the impervious surface area has increased by 223.53 km(2), which is 1.179 times of that in 1990. There is a statistical correlation between the LST and the data of the NDVI and impervious surface, which shows that the reduction in green space and the increase in impervious surface in the city have a significant impact on the urban heat island effect. As the largest city in Shanxi province, there is an increasing demand in Taiyuan city for constructing lands during the urbanization process, which has led to a remarkable decrease in the green space and an increase in impervious surfaces. Therefore, the LST in Taiyuan city has been affected by the rapid urbanization. Furthermore, UTFVI indicates that the overall ecological environment of the Taiyuan city has deteriorated and the area of high temperature in the city has increased significantly. Results of the present study may provide a scientific basis for government departments to formulate urban planning and environmental protection policies. The present study may help the government to expand urban green spaces in the right places, control the expansion of the impervious surface of the city, alleviate the UHI effect and maintain the sustainable development of the Taiyuan city.
引用
收藏
页码:10787 / 10813
页数:27
相关论文
共 47 条
  • [21] Analysis of the Urban Heat Island Effect in Shijiazhuang, China Using Satellite and Airborne Data
    Liu, Kai
    Su, Hongbo
    Zhang, Lifu
    Yang, Hang
    Zhang, Renhua
    Li, Xueke
    [J]. REMOTE SENSING, 2015, 7 (04) : 4804 - 4833
  • [22] Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong
    Liu, Lin
    Zhang, Yuanzhi
    [J]. REMOTE SENSING, 2011, 3 (07) : 1535 - 1552
  • [23] Modeling urban heat islands in heterogeneous land surface and its correlation with impervious surface area by using night-time ASTER satellite data in highly urbanizing city, Delhi-India
    Mallick, Javed
    Rahman, Atiqur
    Singh, Chander Kumar
    [J]. ADVANCES IN SPACE RESEARCH, 2013, 52 (04) : 639 - 655
  • [25] Spatial and temporal variations of urban heat island effect and the effect of percentage impervious surface area and elevation on land surface temperature: Study of Chandigarh city, India
    Mathew, Aneesh
    Khandelwal, Sumit
    kaul, Nivedita
    [J]. SUSTAINABLE CITIES AND SOCIETY, 2016, 26 : 264 - 277
  • [26] National Bureau of Statistic P. R. of C, 2015, CHIN URB CONSTR STAT
  • [27] National Bureau of Statistics, 2013, CHIN STAT YB
  • [28] Development of a modified bare soil and urban index for Landsat 8 satellite data
    Piyoosh, Atul Kant
    Ghosh, Sanjay Kumar
    [J]. GEOCARTO INTERNATIONAL, 2018, 33 (04) : 423 - 442
  • [29] Land use/land cover change and surface urban heat island intensity: source-sink landscape-based study in Delhi, India
    Pramanik, Suvamoy
    Punia, Milap
    [J]. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2020, 22 (08) : 7331 - 7356
  • [30] A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region
    Qin, Z
    Karnieli, A
    Berliner, P
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2001, 22 (18) : 3719 - 3746