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相关概念视频

Design Example: Sustainability in Concrete Building01:26

Design Example: Sustainability in Concrete Building

386
As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
386
Thematic Layering in GIS01:30

Thematic Layering in GIS

323
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)...
323
Levels of Use of a GIS01:29

Levels of Use of a GIS

346
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...
346
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

254
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...
254
Manipulation and Analysis01:21

Manipulation and Analysis

283
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...
283
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

452
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
452

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Evaluating lake water quality with a GIS-based MCDA integrated approach: a case in Konya/Karapınar.

Environmental science and pollution research international·2024
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相关实验视频

Updated: Jul 19, 2026

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
07:12

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers

Published on: December 12, 2025

利用空间数据基础设施进行基于机器学习的建筑能效预测.

Suleyman Sisman1, Abdullah Kara1,2, Arif Cagdas Aydinoglu1

  • 1Department of Geomatics Engineering, Gebze Technical University, Kocaeli, Türkiye.

PloS one
|October 27, 2025
PubMed
概括

本研究开发了一种建筑能源数据模型和机器学习,用于预测建筑能源性能 (EPB). 该模型准确地估计了EPB分数,有助于能源效率政策和可持续发展目标.

科学领域:

  • 建筑能源性能 (EPB) 评估和管理.
  • 空间数据基础设施 (SDI) 和建筑物的数据建模.
  • 机器学习 (ML) 在能源效率方面的应用.

背景情况:

  • 建筑物占能源消耗的三分之一,现有库存显著低效.
  • 缺乏EPB计算和整合到国家空间数据基础设施中,阻碍了政策制定.
  • 土耳其的建筑业面临着能源效率和温室气体减排方面的挑战.

研究的目的:

  • 设计和实施建筑能源数据模型,扩展土耳其的NSDI.
  • 开发和验证ML模型,用于预测建筑能源性能得分.
  • 支持数据驱动的能源效率和可持续性政策制定.

主要方法:

  • 设计了一个建筑能源数据模型,作为国家空间数据基础设施 (NSDI) 的延伸.
  • 在伊斯坦布尔的图兹拉区使用能源绩效证书的真实数据实现了该模型.
  • 开发并应用了ML算法 (RF,GBM,LightGBM,XGBoost) 来进行能源性能预测.

主要成果:

  • 该XGBoost模型实现了高预测准确度,R2 = 0.818.
  • 绩效指标包括RMSE=5.153,MAE=2.886和MAPE=3.369. 这些都是表现指标.

相关实验视频

Last Updated: Jul 19, 2026

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
07:12

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers

Published on: December 12, 2025

  • 该模型在估计建筑能源性能得分方面表现出可靠性.
  • 结论:

    • 开发的模型和ML预测为评估地区级EPB提供了可靠的工具.
    • 调查结果可以为能源效率路线图,立法和激励计划提供信息.
    • 该研究强调,需要在不同地区对该模型进行更广泛的验证.