共 47 条
Characteristics of built-up land change in resource-based cities and their impact on land surface temperature-Taking Wu'an as an example
被引:23
作者:
Chen, Wei
[1
]
Hu, Chenchen
[1
]
Liu, Lin
[2
]
Zhang, Jianjun
[1
,3
]
Wang, Ke
[1
]
Liu, Shidong
[1
]
机构:
[1] China Univ Geosci Beijing, Sch Land Sci & Technol, Beijing 100083, Peoples R China
[2] Hebei GEO Univ, Sch Land Sci & Space Planning, Shijiazhuang 050030, Hebei, Peoples R China
[3] Minist Land & Resource, Land Consolidat & Rehabil Ctr, Beijing 100083, Peoples R China
关键词:
Remote sensing;
Urban thermal environment;
Built-up patch characteristics;
Urban planning;
URBAN HEAT-ISLAND;
SPATIAL ASSOCIATION;
LANDSCAPE STRUCTURE;
AUTOCORRELATION;
VEGETATION;
RETRIEVAL;
SHANGHAI;
PATTERN;
COVER;
D O I:
10.1016/j.ecoinf.2022.101582
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
The effects of built-up land on land surface temperature (LST) and its spatial patterns remain poorly understood over resource-based cities. Using Landsat-5,8 satellite imagery of Wu'an, a resource-based city in China, from 2001, 2007, and 2015, this paper classified the land use types and calculated the percentage of built-up land (PLAND). Changes in built-up land and their effects on the distribution of LST were analyzed through statistics and regression analysis. Statistical results showed that the amount of built-up land in 2007 and 2015 increased significantly compared with 2001. The same PLAND level increased LST more in 2007 and 2015. Furthermore, PLAND = 35% split the heating effects of PLAND on LST. The LST in areas with high PLAND (PLAND > 35%) was mainly impacted by the local built-up land. However, the LST in the areas with low PLAND (PLAND < 35%) was mainly correlated with the built-up land of areas with high PLAND. The results of regression analysis showed that the k value (slope of the correlation analysis) in 2007 and 2015 was larger than that in 2001, indicating the local heating effects of built-up land on LST. The spatial regression analysis results revealed that there was a closer spatial correlation between PLAND and LST in 2015, and built-up land with high PLAND (PLAND > 35%) would increase the LST of surrounding built-up land with low PLAND (PLAND < 35%). These research results could provide more references for urban expansion in urban design and planning.
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