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生态学杂志 ›› 2022, Vol. 41 ›› Issue (10): 2017-2025.doi: 10.13292/j.1000-4890.202209.015

• 研究报告 • 上一篇    下一篇

闽三角城市群冷岛需求评价及空间分异

沈中健1*,梁晨2   

  1. 1山东大学土建与水利学院, 济南 250061; 2河北工业大学建筑与艺术设计学院, 天津 300130)
  • 出版日期:2022-10-10 发布日期:2022-10-13

Evaluation of cool island demand and spatial differentiation in Fujian Delta urban agglomeration.

SHEN Zhong-jian1*, LIANG Chen2   

  1. (1School of Civil Engineering, Shandong University, Ji’nan 250061, China; 2School of Architecture and Art Design, Hebei University of Technology, Tianjin 300130, China).

  • Online:2022-10-10 Published:2022-10-13

摘要: 绿地、水域具有冷岛效应,可有效缓解城市热岛。开展绿地、水域冷岛需求评估对于绿地、水域空间格局优化具有重要意义。本研究整合2017年闽三角城市群Landsat遥感影像、NPP/VIIRS夜间灯光数据、GDP、人口密度等多源数据,从热岛胁迫度、土地脆弱度、社会敏感度3个维度构建冷岛需求测度模型,揭示冷岛需求度的分布特征与空间分异,识别冷岛需求区域及主导因子类型。结果表明:2017年闽三角城市群热岛胁迫度、土地脆弱度、社会敏感度均有较高的空间集聚性,且三者之间均呈显著的正相关性;冷岛高需求区和次高需求区面积分别为2820.02和2078.31 km2;冷岛需求度呈显著的空间正相关性,其空间分布呈现与地形、区位的空间耦合性,高值区集中在东部沿海的城区、乡镇,低值区则出现在内陆的高海拔地区;主导因子分区表明,综合主导区集中在城镇中心区域,社会敏感主导区多为城镇边缘地区,热岛胁迫主导区多为裸地及工业园区,土地脆弱主导区零散分布在远离城区、植被稀疏的耕地。本研究可为冷岛需求评估方法及绿色基础设施空间配置提供借鉴。


关键词: 城市热岛效应, 冷岛需求, 空间格局, 空间自相关, 闽三角城市群

Abstract: Greenspace and water could mitigate the urban heat island effect through their cooling island effect. Evaluation of greenspace and water cool island demand is of great significance to optimizing spatial distribution of greenspace and water. We integrated Landsat remote sensing images, NPP/VIIRS nighttime light data, GDP and population density data of Fujian Delta urban agglomeration in 2017, and constructed an evaluation index system of cool island demand based on three dimensions, including heat island stress degree, land vulnerability degree, and social sensitivity degree. Further, we examined the spatial distribution and heterogeneity of cool island demand degree, and identified demand area and dominant factor types. The results showed that heat island stress degree, land vulnerability degree, and social sensitivity degree in Fujian Delta urban agglomeration had a significant spatial autocorrelation in 2017, with positive correlations among the three parameters. The high demand area and sub-high demand area for cool island were 2820.02 and 2078.31 km2, respectively. Cool island demand degree had a significant positive correlation in space, and its spatial pattern was closely related with geographical location and terrain. The high value area was in urban areas along the east coast, and the low value area was in the western inland areas with high elevations. The results of dominant factor partitioning showed that comprehensive dominated area was concentrated in the urban center area, social sensitivity dominated area was mainly located in urban edge area, heat island stress dominated area was mainly bare land and part of industry zone, and land vulnerability dominated area was located in sparse vegetation cultivated land far from the urban areas. This study can provide insight into cool   island  demand and spatial pattern optimization of greenspace and water.


Key words: urban heat island effect, cool island demand, spatial pattern, spatial autocorrelation, Fujian Delta urban agglomeration.