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相关概念视频

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

35
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...
35
Manipulation and Analysis01:21

Manipulation and Analysis

18
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...
18
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

37
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...
37
Levels of Use of a GIS01:29

Levels of Use of a GIS

40
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...
40
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

25
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
25
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

35
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...
35

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相关实验视频

Updated: May 27, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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使用深度学习算法评估来自GNSS和GRACE数据的水文负载位移.

Changshou Wei1,2, Maosheng Zhou3,4, Zhixing Du1

  • 1College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China.

Scientific reports
|February 19, 2025
PubMed
概括

一种新的3D卷积神经网络 (3D-CNN) 方法使用卫星和GNSS数据准确估计了水文负载位移. 这种先进的技术显著提高了对环境负载监测的传统方法的精度.

关键词:
在3D-CNN中.在GNSS中使用GNSS.格雷斯 (GRACE) 是一个恩典.负载 格林的函数是负载.陆地水负载流动位移.

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科学领域:

  • 地质测量是指地质测量.
  • 地球科学 地球科学 地球科学
  • 机器学习 机器学习

背景情况:

  • 陆地水储量变化导致地显著变形.
  • 精确估计水文负载位移对于精确的地质观测和参考框架维护至关重要.
  • 像负载格林的函数逆转等传统方法在精度上有局限性.

研究的目的:

  • 引入一种新的3D卷积神经网络 (3D-CNN) 方法来估计水文负载位移.
  • 为了比较3D-CNN方法与传统技术的精度.
  • 分析云南省陆地水储和负载位移的时空特征.

主要方法:

  • 利用来自全球导航卫星系统 (GNSS) 站的垂直位移时间序列数据.
  • 来自重力恢复和气候实验 (GRACE) 卫星的陆地水储存的综合时空变化.
  • 应用了一个3D卷积神经网络 (3D-CNN) 模型来估计位移.

主要成果:

  • 3D-CNN方法的反转精度明显高于传统负载的格林函数反转.
  • 观察到偏差显著减少:最大偏差减少1.34毫米,绝对最小偏差减少1.47毫米,绝对平均值减少79.6%,标准偏差减少31.4%.
  • 分析显示,在陆地水储量和负载位移方面,占主导的年度和半年度周期占比超过90%的差异.

结论:

  • 3D-CNN方法为估计陆地水负载位移 (TWLD) 提供了一种新且更精确的方法.
  • TWLD表现出显著的空间异质性,与区域降水模式有很强的相关性.
  • 集成的GRACE-GNSS TWLD模型为高精度的陆地储水逆转和地质测量应用提供了有价值的数据.