发布时间 : 星期四 文章遥感和城市热效应 - 图文更新完毕开始阅读d66b12dd58f5f61fb7366699
（4）分析了NDVI、GVI、Pv与地表温度之间的关系。NDVI与地表温度存在显著的负相关性，NDVI值越大，地表温度越低。NDVI与地表温度的线性回归方程为：y=303.31-10.23x（R2=0.63）GVI与地表温度也存在明显的负相关性，与地表温度的线性回归方程为：y=304.66-10x（R2=0.62）。NDVI和GVI对指示地表温度的空间分布的效果几乎一致的，Pv的指示效果稍差一点。
关键词：合肥市，热岛效应，动态变化，热力景观，土地利用，植被参数，遥感数据
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Abstract
In recent years，in the context of rapid progress of urbanization，the urban heat environment was one of the main factors that dominate the urban environment. The construction of the city greatly changed the urban underlying surface thermodynamic properties，closely linked with the formation of the heat island effect. As the capital city of Anhui Province，Hefei，in recent years，economic development is very rapid，very fast pace of urban development，a lot of farmland and forest land used to build the city，the cities have been expanding. Although known as the Garden City，but can not avoid the heat island effect generated. Therefore，the necessary characteristics of on Hefei heat island effect of the space distribution，evolution，causes，mitigation measures research and analysis，to provide a theoretical basis for the build Hefei into a beautiful environment well ecological environment，and comfortable modern city.
Based on the basic principles of thermal infrared remote sensing and methods of landscape ecology，with the satellite remote sensing data，using remote sensing and geographic information systems technology，space distribution characteristics of the urban heat island，the dynamic evolution，the thermal landscape pattern，land used change on the heat island effect and vegetation parameters with the relationship of the urban heat island intense in Hefei. Results are as follows.
The Hefei heat island spatial distribution characteristic and the dynamic evolution of the results：2002, 2006 and 2010 year there is a significant heat island effect in Hefei. The center of the heat island in the old city center in 2002. The heat island distribution in 2006 similar to 2002. Compared to the 2002，the heat island region has been expansion in 2010. The region of heat island in 2010 has been fully expansion basis on the 2006，but the heat island intensity has been decreased in the local area. Only in the summer showing obviously heat island phenomenon and the intensity is relatively strong，in the other seasons was not very obvious urban heat island phenomenon observed.
Normalize the surface temperature data to obtain the Hefei thermal landscape pattern maps，analysis of dynamic changes in the pattern of thermal landscape. The low temperature region of the plaque area and largest patch index are larger than others thermal landscape types in 2002，indicated that the low temperature region was the dominate plaque. The dominate plaque in 2006 similar to 2002. The middle temperature region，s patch area ratio，largest patch index were largest in all thermal landscape types in 2010，indicated that the middle temperature region was the dominate plaque. From 2002 to 2010，
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advantage of the thermal landscape types plaque from low temperature region was transformed into the middle temperature region，and the middle temperature region mainly distributed in the main city region，therefore the strength of the urban heat island as a whole has been enhanced.
Use visual interpretation to classification the land-use in Hefei，and analyze the impact of land use change on the urban heat island. From 2002 to 2010，the urban land area has been sharp rise，while the farmland area dropped sharply，and the reduce of farmland mainly converted into urban land. In all land-use types，the average temperature of the urban land was highest，the average temperature lowest was water. The urban land to enhance the urban heat island intensity，while the waters to mitigate urban heat island intensity of the best，followed by green land and farmland. The expansion of urban land area resulted in the expansion of the urban heat island spatial distribution.
Analysis of the relationship between NDVI，GVI，Pv with the surface temperature. There was a significant negative correlation between NDVI and surface temperature ，the greater the NDVI the lower surface temperature，the linear regression equation was y=303.31-10.23x（R2=0.63）.There was a significant negative correlation between GVI and surface temperature too，the linear regression equation was y=304.66-10x（R2=0.62）. NDVI and GVI almost identical to the indicated effect of the spatial distribution of the surface temperature and the Pv indicated effect was slightly worst.
Key words：Hefei city，heat island effect，dynamic change，thermal landscape，land-use，
vegetation parameters，remote sensing data
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目 录
摘要 ................................................................... I Abstract ............................................................. III 1文献综述 .............................................................. 1
1.1 城市热岛效应研究综述 ............................................ 1
1.1.1 热岛效应的概念 ............................................ 1 1.1.2 热岛效应的成因及影响因素 .................................. 1 1.1.3热岛效应对环境的影响 ....................................... 2 1.1.4热岛效应监测方法 ........................................... 2 1.2 城市热岛效应的时空分布特征 ...................................... 4
1.2.1 城市热岛的周期变化 ........................................ 4 1.2.2 城市热岛的非周期变化 ...................................... 5 1.2.3城市热岛的水平分布 ......................................... 5 1.3热力景观格局研究 ................................................ 6 1.4土地利用对热岛效应的影响 ........................................ 6 1.5植被覆盖与热岛效应的关系的研究 .................................. 8 2 引言 ................................................................ 10
2.1 研究背景及意义 ................................................. 10 2.2 研究内容与技术路线 ............................................. 10
2.2.1研究内容 .................................................. 10 2.2.2技术路线 .................................................. 11
3 研究区概况与研究方法 ................................................ 13
3.1 研究区概况 ..................................................... 13 3.2 研究方法 ....................................................... 14
3.2.1 数据来源 ................................................. 14 3.2.2 软件简介 ................................................. 15 3.2.3 数据的预处理 ............................................. 15 3.2.4 地表温度的反演 ........................................... 17 3.2.5热力景观格局的计算 ........................................ 23 3.2.6土地利用分类 .............................................. 24 3.2.7 植被参数的计算 ........................................... 24
4 结果分析 ............................................................ 25
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