土地利用对四个东亚大都市土地表面温度的影响的空间回归分析
Tzu-Ling Chen1, Zih-Hong Lin2, De-Cyuan Jheng3
1Department of Urban Development, University of Taipei, Taipei, 111036, Taiwan.
Scientific reports
|July 2, 2025
概括
全球气候变化加剧了城市热岛效应. 低密度建筑物显著增加城市温度,影响东京,北京,首尔和台北等城市的热舒适度.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 遥感 遥感 遥感 遥感
背景情况:
- 全球气候变化加剧了城市热岛 (UHI) 效应,给城市可持续性和热舒适性带来了挑战.
- 土地使用成分在不同的城市环境和气候区显著影响土地表面温度 (LST).
研究的目的:
- 研究四个主要东亚大都市:北京,首尔,东京和台北的土地使用类型和LST之间的相关性.
- 评估空间回归模型在分析土地利用与城市温度之间的关系方面的有效性.
主要方法:
- 利用中等分辨率成像光谱辐射仪 (MODIS) 数据用于夏季LST生成.
- 综合的Sentinel-2和可见红外成像辐射仪套件 (VIIRS) 数据用于推导土地使用和覆盖分类.
- 采用空间回归技术,包括空间滞后模型 (SLM) 和空间错误模型 (SEM),以分析空间相关性.
主要成果:
- 在2020年夏天,东京在四个城市中展出了最高的LST.
- 空间滞后和空间误差模型在普通最小平方 (OLS) 模型上显示出更好的准确性.
- 发现低密度建筑区对LST的影响比高密度建筑区更大.
结论:
- 空间回归模型有效地捕捉了土地利用对城市温度的影响.
- 土地利用规划,特别是关于建筑密度的规划,对于减轻城市热岛效应至关重要.
- 这些发现为制定大规模战略提供了基础,以提高城市的热舒适性和可持续性.
相关概念视频
01:11Regression Analysis
6.1K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
6.1K
01:21Manipulation and Analysis
61
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
61
01:17Radiation: Applications
1.3K
The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...
The average...
1.3K
01:25Selected Data About Geographic Locations
71
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
71
01:14Temperature Measurement Sites
2.2K
A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
2.2K
01:25Multiple Regression
3.2K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.2K