主办单位：中国气象局沈阳大气环境研究所
国际刊号：ISSN 1673-503X
国内刊号：CN 21-1531/P
气象与环境学报

气象与环境学报 ›› 2016, Vol. 32 ›› Issue (6): 102-108.doi: 10.3969/j.issn.1673-503X.2016.06.013

• 论文 • 上一篇    下一篇

沈阳市区土地利用类型与地表温度关系研究

赵梓淇1, 李丽光1, 王宏博1, 赵先丽1, 姜鹏2,3, 温日红1, 丁抗抗4, 赵胡笳1, 赵苗5   

  1. 1. 中国气象局沈阳大气环境研究所, 辽宁 沈阳 110166;
    2. 中国气象局气象干部培训学院辽宁分院, 辽宁 沈阳 110166;
    3. 沈阳农业大学, 辽宁 沈阳 110161;
    4. 辽宁省气象信息中心, 辽宁 沈阳 110166;
    5. 辽宁省气象局, 辽宁, 沈阳 110001
  • 收稿日期:2016-08-17 修回日期:2016-10-24 出版日期:2016-12-31 发布日期:2016-12-31
  • 通讯作者: 李丽光,E-mail:liliguangyjs@foxmail.com。 E-mail:liliguangyjs@foxmail.com
  • 作者简介:赵梓淇,女,1985年生,助理研究员,主要从事气候变化对城市环境影响研究,E-mail:123521072@qq.com。
  • 基金资助:
    中央级公益性科研院所基本科研业务费专项“中高纬度城市典型地块热岛效应研究”（2015IAE-CMA03）资助。

Study on the relationships between land use and land surface temperature in Shenyang urban districts

ZHAO Zi-qi1, LI Li-guang1, WANG Hong-bo1, ZHAO Xian-li1, JIANG Peng2,3, WEN Ri-hong1, DING Kang-kang4, ZHAO Hu-jia1, ZHAO Miao5   

  1. 1. Institute of Atmospheric Environment, CMA, Shenyang 110166, China;
    2. Liaoning Branch of Training School of Meteorological Cadres in China Meteorological Administration, Shenyang 110166, China;
    3. Shenyang Agricultural University, Shenyang 110161, China;
    4. Liaoning Meteorological Information Center, Shenyang 110166, China;
    5. Liaoning Meteorological Service, Shenyang 110001, China
  • Received:2016-08-17 Revised:2016-10-24 Online:2016-12-31 Published:2016-12-31

PDF (PC)

408

被引次数

4

摘要： 利用2010年8月Landsat TM数据计算沈阳市三环内地表温度(Land Surface Temperature，LST)，基于目视解译与监督分类结合的方法将研究区划分为建筑用地、绿地、农田、弃地、道路和水体6类土地利用类型；以城市中心点为原点，分析城市中心不同距离圆环的LST及其与土地利用类型配置的关系，采用多元线性回归法和偏最小二乘回归法建立LST预测模型，并进行模型验证。结果表明：沈阳市区建筑用地、绿地、农田、道路和中心城区的平均LST均随着距中心原点的距离增加而减小；同一级别缓冲区内，建筑和道路的LST较高，水体的LST最低。城市的“摊饼”式发展，也造成了增强热岛效应的建筑用地和道路面积百分比随着距中心原点距离的增加逐渐降低。研究区范围内最主要的土地利用类型为建筑用地，其次为道路。对比分析表明，多元线性回归法和偏最小二乘回归法建立的模型均能较好的预测LST，采用偏最小二乘回归方法对沈阳地区土地利用类型与LST进行回归分析效果更理想。

关键词: 地表温度, 土地利用, 多元线性回归法, 偏最小二乘回归法

Abstract: The relationships of land surface temperature (LST) with the land use types were analyzed in Shenyang urban districts.The analyzing processes are as follows.First,the LSTs of Shenyang urban districts and within the third ring road were calculated using Landsat TM data in August 2010.Then,the land use of the studying area were classified as building land,green land,farmland,abandoned land,road and water body six types using visual interpretation and supervised classification methods.Finally,the city center was regarded as an origin point,and the relationships between the land use types and the LSTs at different circles distancing from the origin point in the city were analyzed using multivariate linear regression and partial least-square regression methods.The corresponding modeling results were verified as well.The results show that the mean LSTs of building land,green land,farmland,and road and the central urban district decrease with the increasing of the distance from the city center origin point.At the same level within buffering zones,the LSTs of building land and road are higher,and that of water body is the lowest.The "booth pie" developing in a city makes that the percentage of building land and road areas gradually reduced with the increasing of the distance from the city center origin point.Both of building land and road enhance the heat island effect.The main land use types are building land in the studying area,followed by road.Both of multivariate linear regression and partial least square regression methods perform very well in predicting LST.Comparatively,the partial least square regression method is more ideal to analyze the relationships between land use and LST in Shenyang.

Key words: Land surface temperature, Land use, Multivariate linear regression method, Partial least square regression method

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