| 引用本文: | 吴昌广,林姚宇,王耀武,龚咏喜,崔红蕾,夏丽丽.城市地表热环境季节变化及与下垫面特征关系[J].哈尔滨工业大学学报,2015,47(4):26.DOI:10.11918/j.issn.0367-6234.2015.04.005 |
| WU Changguang,LIN Yaoyu,WANG Yaowu,GONG Yongxi,CUI Honglei,XIA Lili.Seasonal variations of urban land surface thermal environment and its relationship to land surface characteristics[J].Journal of Harbin Institute of Technology,2015,47(4):26.DOI:10.11918/j.issn.0367-6234.2015.04.005 |
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| 摘要: |
| 为进一步揭示城市地表热环境的时空分异机制,利用遥感信息技术提取深圳市西部地区不同季节的地表温度、植被覆盖、不透水面、水分状况等下垫面特征参数,在此基础上分析地表热环境的季节变化特征及与下垫面生物物理参数的定量关系. 结果表明：研究区地表热力景观的空间分布、强度随季节发生显著变化；不透水面指数、湿度指数与地表温度分别呈指数正相关、线性负相关且在不同季节表现稳定,而植被指数与地表温度呈非线性关系并随季节变化；多元线性逐步回归分析表明,不透水面对地表温度的调节作用最大、地表湿度次之、植被覆盖最小. |
| 关键词: 地表温度 生物物理参数 季节变化 遥感 深圳西部地区 |
| DOI：10.11918/j.issn.0367-6234.2015.04.005 |
| 分类号:X87；X32 |
| 基金项目:国家自然科学基金(51308143)；中国博士后科学基金(2012M520718)；深圳市科技研发基础项目(JCYJ20130325151523015,JCYJ20120615145601342)． |
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| Seasonal variations of urban land surface thermal environment and its relationship to land surface characteristics |
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WU Changguang, LIN Yaoyu, WANG Yaowu, GONG Yongxi, CUI Honglei, XIA Lili
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(Shenzhen Key Laboratory of Urban Planning and Decision Making( Harbin Institute of Technology Shenzhen Graduate School), 518055 Shenzhen, Guangdong,China)
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| Abstract: |
| In order to reveal the mechanisms of spatial and temporal heterogeneity of urban surface thermal environment, the land surface characteristic parameters in different seasons in western Shenzhen including land surface temperature (LST), normalized difference vegetation index (NDVI), normalized difference impervious surface index (NDISI), and normalized difference moisture index (NDMI) were obtained using remote sensing technology. The seasonal variations of land surface thermal environment and its quantitative relationship to biophysical parameters were also analyzed The results showed that significant seasonal variations were observed for the spatial pattern and intensity of thermal environment landscape in the study area. The positive exponential correlation was observed between NDISI and LST, while negative linear correlation between NDMI and LST. These two relations were stable with the seasonal variations. In contrast, the non-linear correlation was observed between NDVI and LST, which varies with the seasonal variations. The multiple linear stepwise regression analysis indicated that the regulating effect on LST decreased in the order: impervious surface area>surface wetness>vegetation cover. |
| Key words: land surface temperature biophysical parameters seasonal variations remote sensing western Shenzhen |
