Analysis on Seasonal Variation and Influencing Mechanism of Land Surface Thermal Environment: A Case Study of Chongqing

被引:10
作者
Wang, Rongxiang [1 ]
Min, Jie [1 ]
Li, Yuechen [2 ,3 ]
Hu, Yunyun [4 ]
Yang, Shiqi [5 ]
机构
[1] Chongqing Normal Univ, Sch Geog & Tourism, Chongqing Key Lab GIS Applicat, 37 Daxuechengzhong Rd, Chongqing 401331, Peoples R China
[2] Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat &, Chongqing 400715, Peoples R China
[3] Minist Nat Resources, Key Lab Monitoring Evaluat & Early Warning Terr S, Chongqing 401147, Peoples R China
[4] Chongqing Informat & Technol Support Ctr, Chongqing 401147, Peoples R China
[5] Chongqing Inst Meteorol Sci, Chongqing 401147, Peoples R China
基金
中国国家自然科学基金;
关键词
Chongqing; multi-source data; principal component analysis (PCA); seasonality; thermal environment; URBAN HEAT-ISLAND; TEMPERATURE; IMPACTS; EVOLUTION; CLIMATE; STRESS;
D O I
10.3390/rs14092022
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Rapid urbanization has brought about many problems in urban environments, including the deterioration of the thermal environment, which greatly affects the sustainable development of cities and the health of urban residents. Therefore, a comprehensive and thorough study of the thermal environment is necessary. In this study, quantitative and qualitative analyses of the interannual and seasonal variation of the thermal environment in the urban area of Chongqing were conducted using a combination of equal sector analysis, mathematical statistics, and principal component analysis. In addition, the mechanism by which multiple integrated human and natural factors affect the urban thermal environment in different seasons was explored. The thermal environment of the land surface has a clear spatial correlation with built-up areas. From 2010 to 2020, the Liangjiang New Area and the western high-tech zone were the main areas of thermal environment area expansion. From 2010 to 2020, a decrease in the area of low-temperature zones and an increase in the area of high-temperature zones were the main trends. In particular, during the summer of 2020, the low-temperature zones almost disappeared, and the area of high-temperature zones was nearly twice as large as in the other seasons. The combined influence of multiple factors on surface temperature has certain seasonal characteristics. The slope, elevation, normalized water body index, fractional vegetation cover, normalized imperviousness index, and nighttime light intensity were the main factors affecting the surface temperature, whereas landscape pattern indicators, as well as the population and points of interest (POI) density, had a low influence. The strength of the combined influence of these multiple factors of the different seasons exhibited the following order: winter > spring > summer > autumn.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Seasonal effects of urban morphology on land surface temperature in a three-dimensional perspective: A case study in Hangzhou, China
    Han, Sijia
    Hou, Hao
    Estoque, Ronald C.
    Zheng, Yaoyao
    Shen, Chuhui
    Murayama, Yuji
    Pan, Jing
    Wang, Ben
    Hu, Tangao
    BUILDING AND ENVIRONMENT, 2023, 228
  • [22] Assessing the spatiotemporal variation in anthropogenic heat and its impact on the surface thermal environment over global land areas
    Jin, Kai
    Wang, Fei
    Wang, Shaoxia
    SUSTAINABLE CITIES AND SOCIETY, 2020, 63 (63)
  • [23] Monitoring spatial pattern of land surface thermal characteristics and urban growth: A case study of King Williams using remote sensing and GIS
    Willie, Yanga A.
    Pillay, Rajendran
    Zhou, L.
    Orimoloye, Israel R.
    EARTH SCIENCE INFORMATICS, 2019, 12 (04) : 447 - 464
  • [24] Analysis of Spatial and Temporal Variation Characteristics of Atmospheric Aerosol Optical Depth-A Case Study of Chongqing
    Wang, Ling
    Liu, Hai-Long
    Lv, Xin
    2009 INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY,VOL I, PROCEEDINGS, 2009, : 418 - +
  • [25] Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China
    Liu, Jielin
    Xu, Chong
    Zhao, Binbin
    Yang, Zhi
    Liu, Yi
    Zhang, Sihang
    Kong, Xiaoang
    Lan, Qiongqiong
    Xu, Wenbin
    Qi, Wenwen
    REMOTE SENSING, 2025, 17 (01)
  • [26] Mechanism analysis of vegetation phenology in an urban agglomeration in an arid zone driven by seasonal land surface temperatures
    Zhang, Xueling
    Kasimu, Alimujiang
    Liang, Hongwu
    Wei, Bohao
    Aizizi, Yimuranzi
    Han, Fuqiang
    URBAN CLIMATE, 2024, 53
  • [27] A Multiscale Evaluation of the Coupling Relationship between Urban Land and Carbon Emissions: A Case Study of Chongqing, China
    Li, Chuanlong
    Li, Yuanqing
    Shi, Kaifang
    Yang, Qingyuan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (10)
  • [28] Seasonal Variation of the Spatially Non-Stationary Association Between Land Surface Temperature and Urban Landscape
    Liu, Huimin
    Zhan, Qingming
    Gao, Sihang
    Yang, Chen
    REMOTE SENSING, 2019, 11 (09)
  • [29] Analyzing the Land Surface Temperature Response to Urban Morphological Changes: A Case Study of the Chengdu-Chongqing Urban Agglomeration
    Tian, Yuhang
    Xie, Zhenghui
    Xie, Jinbo
    Jia, Binghao
    Chen, Si
    Qin, Peihua
    Li, Ruichao
    Wang, Longhuan
    Yan, Heng
    You, Yanbin
    Liu, Bin
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2024, 129 (03)
  • [30] Seasonal Variation in the Thermal Environment and Health-Related Factors in Two Clustered Recreational Bamboo Forests
    Tang, Haixiong
    Yang, Qin
    Jiang, Mingyan
    Wang, Tianxing
    Li, Xi
    Chen, Qibing
    Luo, Zhenghua
    Lv, Bingyang
    FORESTS, 2023, 14 (09):