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生态学杂志 ›› 2026, Vol. 45 ›› Issue (8): 2709-2717.doi: 10.13292/j.1000-4890.202608.004

• 研究论文 • 上一篇    下一篇

基于局地气候区的西安市城市热环境时空特征分析与优化

姚嘉琦1,杨丽萍2*,杨佳佳2,高美玲2,杜彬2,孙佳骏2   

  1. 1长安大学土地工程学院, 西安 710054; 2长安大学地质工程与测绘学院, 西安 710054)

  • 出版日期:2026-08-10 发布日期:2026-08-19

Analysis and optimization of spatiotemporal patterns of the urban thermal environment in Xi’an based on local climate zones.

YAO Jiaqi1, YANG Liping2*, YANG Jiajia2, GAO Meiling2, DU Bin2, SUN Jiajun2   

  1. (1School of Land Engineering, Chang’an University, Xi’an 710054, China; 2School of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China).

  • Online:2026-08-10 Published:2026-08-19

摘要: 缓解城市热环境效应,调整城市景观布局,对于提高人居舒适度和促进城市可持续发展至关重要。基于陕西省西安市主城区多期Landsat8遥感数据,利用均值-标准差和区域分析等方法,探究地表温度(LST)的时空变化。结合局地气候区(LCZ)理论,使用贡献度量化分析17类LCZ对城市热岛效应的影响,使用Cplex求解器实现LCZ优化。结果表明:(1)西安市主城区热岛效应存在显著的空间异质性与季节性特征,春季热力景观格局呈斑块化分布特征,夏季热岛空间集聚效应显著增强,秋季呈现“双核心”模式,冬季表现出中冷外热的独特结构。(2)建筑区LCZ通常具有较自然区更高的LST,尤其是LCZ2(密集中层)和LCZ8(大型低层);自然区LCZ11(茂密森林)和LCZ12(稀疏森林)具有最低的地表温度。LCZ2、LCZ5(稀疏中层)和LCZ8在春夏秋三季均具有较高的热贡献度,LCZ17(水体)具有显著的冷贡献度,LCZ14的植被覆盖度(FVC)贡献度最显著。LCZ1(密集高层)、LCZ2和LCZ4(稀疏高层)构成主要人口聚集区,LCZ5在植被覆盖度和人口密度贡献度上表现突出。(3)优化后,LCZ2、LCZ11、LCZ12和LCZ17等面积增加13.5~119.2 km2,LCZ3、LCZ5、LCZ7和LCZ8等面积减少5.2~259.9 km2,地表温度从39.94 ℃降低至38.81 ℃。为促进城市可持续发展,应控制LCZ5(稀疏中层)和LCZ8(大型低层)的面积,增加LCZ11(茂密森林)和LCZ17(水体)的面积。


关键词: 城市热岛, WUDAPT, 局地气候区, Cplex求解器, 可持续发展

Abstract: Alleviating urban thermal environment effect and adjusting urban landscape layout are crucial for improving human settlement comfort and promoting sustainable urban development. Based on multiple Landsat 8 remote sensing data of the main urban area of Xi’an, Shaanxi Province, we explored the spatiotemporal variations of land surface temperature (LST) with the mean-standard deviation and regional analysis methods. Combined with the local climate zone (LCZ) theory, the contribution index was used to quantitatively analyze the influence of 17 LCZs on urban heat island effect, and Cplex solver was utilized to optimize LCZs. The results showed that: (1) The heat island effect exhibited distinct spatial heterogeneity and seasonal variations. In spring, the thermal landscape pattern showed a patchy distribution. In summer, the heat island spatial agglomeration effect was enhanced significantly. There was a "dual core" model in autumn and a unique “cold center and hot periphery” structure in winter. (2) LCZs of built-up area generally had higher LST than natural areas, especially LCZ2 (compact midrise) and LCZ8 (large low-rise). Natural areas such as LCZ11 (dense forest) and LCZ12 (sparse forest) had the lowest LST. LCZ2, LCZ5 (open midrise) and LCZ8 all showed high thermal contribution in spring, summer, and autumn. LCZ17 (water) exhibited the significant cold contribution, and LCZ14 demonstrated the most prominent fractional vegetation cover (FVC) contribution. LCZ1 (compact highrise), LCZ2 and LCZ4 (open high-rise) constituted the primary population agglomeration areas, while LCZ5 stood out in both FVC and population density contribution. (3) After optimization, the areas of LCZ2, LCZ11, LCZ12, and LCZ17 increased by 13.5 to 119.2 km2, and those of LCZ3, LCZ5, LCZ7, and LCZ8 decreased by 5.2 to 259.9 km2. LST declined from 39.94 to 38.81 ℃. To promote sustainable urban development, the areas of LCZ5 and LCZ8 should be constrained, while those of LCZ11 and LCZ17 should be increased.

Key words: urban heat island, WUDAPT, local climate zone, Cplex solver, sustainable development