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相关概念视频

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Design Example: Sustainability in Concrete Building01:26

Design Example: Sustainability in Concrete Building

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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...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Manipulation and Analysis01:21

Manipulation and Analysis

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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...
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Thematic Layering in GIS01:30

Thematic Layering in GIS

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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)...
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Design Example: Design of an Irrigation Channel01:27

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Trapezoidal channels are widely used in irrigation systems due to their cost-effectiveness and efficiency in conveying water. Trapezoidal channels feature a flat bottom and sloping sides, making them stable and easier to construct compared to other shapes. The bottom width and side slope ratio are determined based on the required flow capacity and site conditions. The side slope is kept gentle for unlined channels to prevent soil erosion.Hydraulic parameters in channel design include the flow...
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相关实验视频

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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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一个基于深度神经网络的绿色空间设计优化框架,用于智能城市.

Shan Wang1, Yuqian Zhang2

  • 1College of Arts, Jiaozuo University, Jiaozuo, 454000, Henan, China. wangshan9527@hotmail.com.

Scientific reports
|December 9, 2025
PubMed
概括
此摘要是机器生成的。

一个新的基于深度神经网络的绿色空间设计优化框架 (DNN-GSOF) 优化了城市绿色空间布局,以实现智能城市的生态效率. 这种由人工智能驱动的方法提高了城市规划的可持续性和宜居性.

关键词:
深度神经网络是一个神经网络.设计优化框架设计优化框架环境可持续性 环境可持续性生成性的对抗性网络.绿色空间 绿色空间

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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科学领域:

  • 城市规划与生态学
  • 环境科学中的人工智能

背景情况:

  • 中国的快速城市化减少了绿色空间,影响了环境可持续性和城市宜居性.
  • 传统的绿色空间设计方法缺乏可扩展性,响应性和数据集成,以实现高效的,背景意识的规划.

研究的目的:

  • 提出基于深度神经网络的绿色空间设计优化框架 (DNN-GSOF) 以优化智慧城市的城市绿色空间布局.
  • 通过人工智能驱动的设计,提高城市环境的生态效率,监管合规性和整体宜居性.

主要方法:

  • 利用修改后的U-Net卷积神经网络 (CNN) 来处理卫星图像,环境传感器数据和基础设施地图,以确定最佳的绿化区域.
  • 采用受约束的深度卷积生成对抗网络,生成多样化,符合法规的城市绿色空间布局建议.
  • 实施了基于DenseNet的混合多层感知模型,用于在生态,社会和经济维度上的定量绩效评估.

主要成果:

  • 与其他模型相比,DNN-GSOF模型实现了13.2%更好的布局重叠精度和17.2%更高的合规率.
  • 显示FID得分44.8%更好,表明发电质量和绿色空间布局的多样性有所改善.
  • 加快了29.2%的推断,并减少了对区域划分合规性 (40.95%) 和绿地比例 (43.14%) 的平均绝对误差.

结论:

  • DNN-GSOF框架有效地生成准确且符合法规的城市绿色空间布局.
  • 为城市规划者和政策制定者提供实际应用,以改善快速发展的城市的生态可持续性和宜居性.