论文总字数：19813字

摘 要

我国城市化进程加快，带来了影响环境和人们身心健康的热岛效应。根据多年来国内外学者对热岛效应的累计研究，研究热岛效应的方法和数据都逐渐精进。

本文以江苏省南京市1999年至2020年共6个时相的Landsat数据为主要数据源，通过大气校正算法对南京市年际性数据进行温度反演、通过双通道非线性劈窗算对南京市季节性数据进行温度反演、通过大气校正算法、单通道算法、单窗算法和双通道非线性劈窗算法对南京市一期进行温度反演并对比，并用反演的结果对温度进行划分得到热岛等级再根据热岛等级求出热景观指数。得出以下几个结论：

1. 四种算法温度平均值相差不大。单窗、单通道算法地表温度平均值差值较小且单窗算法平均值最高。双通道非线性劈窗算法的平均值小于他几种算法而最大值和最小值，大于其他几种算法。大气校正算法和单通道算法的最大值和最小值接近而大气校正算法的标准差最小。
2. 南京大多数地区属于中温区，长江流域以及本市南部是低温次中温的主要分布区域。1999年到2019年江北新区热岛效应得到缓解。
3. 南京秋、冬季热岛效应范围较小，春、夏季范围较大，并且春季热岛效应比夏季的分布范围要更大，市区与周围县区的在夏季的热岛等级反差最大。
4. 2009年的斑块破碎度高，到了2019年连通性重新升高。2019年相较于2009年热岛范围更大，热岛强度稍有缓解。

关键词：南京市，热岛效应，温度反演算法，热景观格局

Analysis of Nanjing thermal landscape based on time series Landsat images

Abstract

The acceleration of urbanization in China has brought about a heat island effect that affects the environment and people's physical and mental health.According to the accumulative study of heat island effect by domestic and foreign scholars over the years, the methods and data of heat island effect study have been improved gradually.

In nanjing city, jiangsu province from 1999 to 2020, a total of six phase of Landsat data as the main data source, through the atmospheric correction algorithm of annual data in nanjing by dual channel nonlinear split window the temperature inversion, seasonal data in nanjing temperature inversion, through the atmospheric correction algorithm, single channel algorithm, single algorithm and dual channel nonlinear split window algorithm for nanjing issue of temperature inversion and compared, and the inversion results of temperature division get heat island ranks according to heat island and the thermal landscape index.The following conclusions are drawn:

1. The distinction between the mean temperature of the four algorithms is inapperant.Both of Mono-window Algorithm and the Single channel window Algorithm is similar.The average surface temperature of the Mono-window Algorithm is the highest.The average value of the Two-channel nonlinear split window Algorithm is smaller than that of other algorithms, while the maximum and minimum values are larger than that of other algorithms.The extreme values of the Atmospheric correction Algorithm and the Single-channel Algorithm are close, while the standard deviation of the Atmospheric correction Algorithm is the smallest.
2. Most areas in nanjing belong to the medium-temperature region, and the Yangtze river basin and the southern part of the city are the main distribution areas of low-temperature sub-medium-temperature.From 1999 to 2019, the heat island effect in jiangbei new area was alleviated.
3. The heat island effect from September to February in nanjing is smaller, while the effect from March to October is larger.Besides, the distribution range of the heat island effect from June to August is smaller than that from March to May. The scale of the heat island effect in urban areas and surrounding counties in summer is the largest.
4. The plaques were more isolated in 2009 and reversed in 2019.In 2019, compared with 2009, the intensity of the heat island was slightly reduced.

Key Words:Nanjing,Heat island effect,Temperature inversion algorithm,Thermal landscape pattern

目 录

摘要…………………………………………………………………………………I

ABSTRACT………………………………………………………………………II

第一章 绪论………………………………………………………………………1

1.1 研究背景及意义……………………………………………………………1

1.2 国内外研究现状……………………………………………………………1

1.2.1 地表温度反演方法…………………………………………………1

1.2.2 热岛划分方法………………………………………………………2

1.2.3 热景观格局计算方法………………………………………………2

1.3 研究目标与研究内容………………………………………………………3

1.3.1 研究目标……………………………………………………………3

1.3.2 研究内容……………………………………………………………3

1.3.3 研究方法……………………………………………………………3

1.3.4 研究技术路线………………………………………………………4

第二章 研究区域概况与数据预处理………………………………………5

2.1 自然环境概况……………………………………………………………5

2.2 社会经济概况……………………………………………………………5

2.3 数据源……………………………………………………………………5

2.4 影像预处理………………………………………………………………7

2.4.1 辐射定标……………………………………………………………7

2.4.2 大气校正……………………………………………………………7

2.4.3 影像镶嵌……………………………………………………………8

2.4.4 影像裁剪……………………………………………………………8

第三章 基于Landsat数据的南京市地表温度反演……………………9

3.1 温度反演算法……………………………………………………………9

3.2 实验与讨论………………………………………………………………12

第四章 南京市热岛效应分析………………………………………………17

4.1 热岛分级方法……………………………………………………………17

4.2 南京市热岛时空分布动态演变………………………………………17

4.2.1 南京市年际性热岛效应时空分布特征及变化……………………17

4.2.2 南京市季节性热岛效应时空分布特征及变化……………………19

4.3 南京市热景观分析………………………………………………………21

4.4 改善南京市热岛效应的建议……………………………………………23

第五章 结论与展望…………………………………………………………25

5.1 结论………………………………………………………………………25

5.2 展望………………………………………………………………………25

参考文献…………………………………………………………………………27

致谢………………………………………………………………………………28

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