2007-2017年夏冬季上海市内外圈层土地覆盖与地表温度的定量关系

张周逸林; 申广荣; 张婧颖; 杨伟才

doi:10.13961/j.cnki.stbctb.2021.01.013

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2007-2017年夏冬季上海市内外圈层土地覆盖与地表温度的定量关系

试验与调查研究

- 2007-2017年夏冬季上海市内外圈层土地覆盖与地表温度的定量关系
- Quantitative Relationship Between Land Cover and Surface Temperature Inside and Outside of Shanghai City in Summer and Winter During 2007-2017
- 水土保持通报 2021年41卷第1期页码：88-96
- 作者机构：
  
  1. 上海交通大学农业与生物学院低碳农业研究中心,上海,200240
  2. 国家林业局上海城市森林生态系统国家定位观测研究站,上海,200240
  3. 农业部都市农业重点实验室,上海,200240
  4. 上海聚隆生态科技有限公司,上海,200090
- 作者简介：
- 基金信息：
  
  上海2017年度“科技创新行动计划”企业国际科技合作项目“绿地消减城市热岛效应监测评估技术与标准体系研究与应用”（17230732600）。
- DOI：10.13961/j.cnki.stbctb.2021.01.013
  中图分类号： TP79;U412.1
- 纸质出版：2021
- 稿件说明：
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张周逸林, 申广荣, 张婧颖, 等. 2007-2017年夏冬季上海市内外圈层土地覆盖与地表温度的定量关系[J]. 水土保持通报, 2021,41(1):88-96.

Zhangzhou Yilin, Shen Guangrong, Zhang Jingying, et al. Quantitative Relationship Between Land Cover and Surface Temperature Inside and Outside of Shanghai City in Summer and Winter During 2007-2017[J]. Bulletin of Soiland Water Conservation, 2021, 41(1): 88-96.
张周逸林, 申广荣, 张婧颖, 等. 2007-2017年夏冬季上海市内外圈层土地覆盖与地表温度的定量关系[J]. 水土保持通报, 2021,41(1):88-96. DOI： 10.13961/j.cnki.stbctb.2021.01.013.

Zhangzhou Yilin, Shen Guangrong, Zhang Jingying, et al. Quantitative Relationship Between Land Cover and Surface Temperature Inside and Outside of Shanghai City in Summer and Winter During 2007-2017[J]. Bulletin of Soiland Water Conservation, 2021, 41(1): 88-96. DOI： 10.13961/j.cnki.stbctb.2021.01.013.

摘要

[目的] 探究超大型城市地表温度对不同土地利用类型的响应特征，为城市建设和规划设计提供科学参考。[方法] 以上海市为例，运用2007，2013，2017年夏冬季共6期Landsat系列多光谱及热红外影像数据，解译土地利用类型并反演地表温度，基于900 m×900 m网格分析了夏季和冬季上海市外环内外土地利用类型对地表温度影响特征。[结果] 夏季上海市地表温度空间特征为外环外冷内热，平均温差4.86℃；冬季上海市地表温度空间特征为外环外热内冷，平均温差0.17℃。夏季外环外非渗水地表比例每增加10%可升温1.22℃，外环内升温0.97℃；绿地及水体与地表温度呈负相关，外环外绿地比例每增加10%可降温1.01℃，外环内林地比例每增加10%可降温1.06℃；水体比例每增加10%最大降温0.85℃。[结论] 夏季绿地的降温效应在外环内大于水体而在外环外小于水体，水体在不同季节不同圈层降温效应均一稳定，上海市形成冷岛所需水体和绿地比例呈逐年降低趋势。

Abstract

[Objective] The response characteristics of surface temperature in superlarge cities to different land use types were studied to provide a scientific reference for urban construction

planning

and design.[Methods] Taking Shanghai City as an example

this study used six phases of Landsat series multispectral and thermal infrared image data in the summer and winter of 2007

2013

and 2017 to interpret land use types and retrieve land surface temperature. The characteristics of the influence of land use types inside and outside Waihuan Road in Shanghai City on land surface temperature in summer and winter based on a 900 m×900 m grid were analyzed.[Results] The surface temperature of Shanghai City in summer was characterized by the average temperature inside Waihuan Road being higher than that outside Waihuan Road with a temperature difference of 4.86℃; In winter

the surface temperature of Shanghai City was characterized by the average temperature inside Waihuan Road being lower than that outside Waihuan Road with a temperature difference of 0.17℃. In the summer

every 10% increase in the proportion of nonpermeable land surface outside Waihuan Road increased the temperature by 1.22℃

and the temperature inside Waihuan Road can increase by 0.97℃. The green space and water area were negatively correlated with the surface temperature. Every 10% increase in the percentage of green land can reduce the temperature by 1.01℃ outside Waihuan Road

and every 10% increase in the proportion of woodland can reduce the temperature by 1.06℃ inside Waihuan Road. For every 10% increase in the water area

the average temperature drops by 0.85℃.[Conclusion] In the summer

the cooling effect of green space is greater than that of water area inside Waihuan Road and smaller than that of water outside Waihuan Road. The cooling effect of water area is uniform and stable in different seasons and in different districts. The proportion of water area and green land required to form the cold island in Shanghai City is decreasing yearly.

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