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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

77
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...
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Responses to Drought and Flooding02:41

Responses to Drought and Flooding

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Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
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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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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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相关实验视频

Updated: Jun 29, 2025

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
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为中文文本提取台风灾难状态信息.

Peng Ye1,2, Chunju Zhang3, Mingzhu Chen4,5

  • 1Urban Planning and Development Institute, Yangzhou University, Yangzhou, 225127, China.

Scientific reports
|April 4, 2024
PubMed
概括

本研究为中国文本引入了台风灾害状态信息提取 (TDSIE) 方法. TDSIE有效地整合了碎片化的台风数据,使灾难动态和演变的全面分析成为可能.

关键词:
时间空间的语义单位.国家信息提取国家信息提取.国家信息融合融合.台风灾难 台风灾难的灾难台风灾难的语义向量语义向量

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科学领域:

  • 地理研究的地理研究.
  • 灾难科学 灾难科学
  • 自然语言处理自然语言处理.

背景情况:

  • 台风灾难具有复杂的时间进化过程,对地理研究至关重要.
  • 目前的灾难信息提取方法与分散的数据和时空多样性作斗争.
  • 分析台风灾难状态需要系统地整合碎片化信息.

研究的目的:

  • 为中国文本提出台风灾害状态信息提取 (TDSIE) 方法.
  • 为了促进碎片化台风灾难信息的系统整合.
  • 支持分析台风灾难的时空模式和进化特征.

主要方法:

  • 整合部分语音标签与时空信息提取用于文本标签的整合.
  • 在时空语义单元内构建台风灾难语义向量.
  • 基于时空线索的共同参考状态信息融合.

主要成果:

  • 提议的TDSIE方法实现了在线新闻数据的精度和回忆率始终超过85%.
  • TDSIE能够系统地整合碎片化台风灾害信息.
  • 提取的信息支持对台风灾害的时空模式,进化特征和活动模式的分析.

结论:

  • TDSIE为调查台风灾害固有的过程性质提供了宝贵的支持.
  • 该方法增强了对不同规模的台风灾难动态的理解.
  • 这种方法解决了灾难分析中数据分散和时空多样性所带来的挑战.