地理研究 ›› 2010, Vol. 29 ›› Issue (1): 127-136.doi: 10.11821/yj2010010013

• 气候与全球变化 • 上一篇    下一篇

基于MODIS的珠江三角洲地区区域热岛的分布特征

饶胜1,2, 张惠远1, 金陶陶1, 窦浩洋2   

  1. 1. 中国环境规划院,北京 100012;
    2. 北京大学深圳研究生院城市与环境学院,深圳 518055
  • 收稿日期:2009-03-14 修回日期:2009-07-21 出版日期:2010-01-20 发布日期:2010-01-20
  • 作者简介:饶胜(1978-),江西南丰人,助理研究员,博士生。主要研究方向为区域生态保护,遥感和景观生态学研究。E-mail:rao_sheng@126.com
  • 基金资助:

    国家自然科学基金项目(40401023)和国家自然科学基金重点项目(40635028)

The spatial character of regional heat island in Pearl River Delta using MODIS remote sensing data

RAO Sheng1,2, ZHANG Hui-yuan1, JIN Tao-tao1, DOU Hao-yang2   

  1. 1. Chinese Academy for Environmental Planning, Beijing 100012, China;
    2. College of Urban and Environmental Sciences, Peking University Shenzhen Graduate School, Shenzhen 518055, China
  • Received:2009-03-14 Revised:2009-07-21 Online:2010-01-20 Published:2010-01-20

摘要:

通过MODIS地温数据,研究了珠三角地区由于快速的城市化过程造成的区域性大范围温度升高现象,即"区域"热岛现象。分析结果表明,MODIS数据能够较好地反映出区域城市化进程中区域地表热环境的变化。不同下垫面的温度差异是形成区域热岛的基础。在大规模连片的城市化过程中,城镇用地的周边区域受到温度升高的影响,地表温度也相应升高,从而造成了区域大面积的温度升高,形成了区域热岛。从空间形态看,区域热岛的空间格局与城镇用地的空间布局具有较高的相关性,大城市或城市连绵区往往是区域热岛的中心。城市连绵区及其周边区域的热岛现象十分明显,而位于研究区的西南和东北方位的城镇分布比较分散,对应的区域热岛现象并不显著。

关键词: MODIS, 地表温度, 土地覆盖, 区域热岛

Abstract:

The purpose of this paper is to study regional large scale temperature elevation phenomenon in the Pearl River Delta using MODIS (Moderate-resolution Imaging Spetroradiometer) land surface temperature data. The result shows that MODIS data can reflect the change of regional land surface thermal environment in the rapid urbanization process. Land surface temperature (LST) relates to land cover types and NDVI. Corresponding temperature of urban land use is the highest, while that of the woodland is the lowest. The higher the NDVI, the lower the LST is. This trend is similar to the air temperature change. In the large-scale continuous urbanization process, non-urban land around urban areas is impacted by urban land use, causing LST rising and then large area of the regional temperature rising, thus regional heat island forms. In this study, there are about 46% of the non-urban areas where regional heat island effect occurs, while the percentage is about 75% for urban areas where RHI effect happens. The space pattern of RHI is highly interrelated with space layout of urban land use. Large cities or city groups are often the center of RHI. The circumferences of these regions have evident RHI phenomena. Towns in the southwest and northeast of the research region are distributed separately, where the RHI phenomena are not so evident. Therefore, regional urban pattern has an important effect on the intensity and spatial form of RHI. The result is useful for urban planning. Obviously, the better pattern for the metropolitan areas is small towns with large area green belts, which can mitigate the RHI effect. The result of the study also indicates that the MODIS data have some merits for monitoring the RHI effect, which includes large area coverage, high resolution, and easy access to the data. However, the shortage for MODIS is that it is likely to be affected by the cloud. Only when the air temperature is derived from the land surface temperature with MODIS data, can the study on urban heat island and regional heat island make a sound progress.

Key words: MODIS, Land Surface Temperature (LST), land surface type, Regional Heat Island (RHI)