使用机器学习了解空间城市化和城市热岛之间的关系:基于景观的空间框架
Manob Das1, Arijit Das2, Ashis Mandal2
1Department of Geography, Ramananda College, Bishnupur, West Bengal, India. dasmanob631@gmail.com.
Environmental science and pollution research international
|December 12, 2025
概括
城市化显著增加了加尔各答的不透气表面和表面城市热岛 (SUHI) 强度. 空间城市化与SUHI有积极的相关性,突出了可持续城市规划和绿色基础设施的需要.
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:
- 城市化推动城市热岛 (UHI) 效应,这是一个关键的环境问题.
- 了解城市扩张和UHI之间的联系对于城市规划至关重要.
研究的目的:
- 用机器学习分析卡尔卡塔大都会地区 (KMA) 的城市化和表面城市热岛 (SUHI) 之间的关系.
- 开发一个空间城市化指数 (SUI) 并评估其与SUHI的相关性.
主要方法:
- 开发了一个空间城市化指数 (SUI) 并使用空间景观指标.
- 使用空间梯度方法分析沿城乡梯度 (URG) 的土地表面温度 (LST).
- 应用相关性,回归和随机森林 (RF) 模型来确定主要的城市化和SUHI驱动因素.
主要成果:
- 不透面 (IS) 从2000年到2020年增加了128%,高/非常高的SUHI强度区域分别增长了287%和207%.
- 建筑面积 (AREA_AM) 是空间城市化的主要驱动力,而最大补丁指数 (LPI) 则对SUHI产生了最大的影响.
- 空间城市化与SUHI强度有显著的正相关性.
结论:
- 城市扩张直接加剧了SUHI效应,需要立即进行可持续的城市规划.
- 整合绿色和蓝色基础设施对于减轻UHI和改善城市热环境至关重要.
相关概念视频
Selected Data About Geographic Locations
245
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...
245
Levels of Use of a GIS
319
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
319
Thematic Layering in GIS
300
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
300
Introduction to GIS
479
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
479
Manipulation and Analysis
274
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...
274
Quantifying Heat
61.5K
Thermal Energy Microscopically, thermal energy is the kinetic energy associated with the random motion of atoms and molecules. Temperature is a quantitative measure of “hot” or “cold”, which depends on the amount of thermal energy. When the atoms and molecules in an object are moving or vibrating quickly, they have a higher average kinetic energy (KE) (or higher thermal energy), and the object is perceived as “hot”, or it is described as being at a higher temperature. When the...
61.5K


