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相关概念视频

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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Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Applications of GIS: Disaster Management and Emergency Response01:29

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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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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Modeling and Similitude01:12

Modeling and Similitude

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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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相关实验视频

Updated: Sep 14, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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使用级联机器学习模型进行概率性洪水风险评估的多源数据驱动框架:四川盆地的案例研究.

Yan Lu1,2, Ying Huang3, Xiaoling Liu4,5

  • 1Research Center for Pacific Island Countries, Liaocheng University, Liaocheng, 252000, Shandong, China. luyan@lcu.edu.cn.

Scientific reports
|July 22, 2025
PubMed
概括
此摘要是机器生成的。

气候变化正在增加中国四川盆地的洪水风险. 预测显示,到本世纪末,极端洪水事件的数量将翻一番,迫切需要采取适应和减缓策略.

关键词:
气候变化 气候变化 气候变化洪水发生频率分析基于物理的顺序建模框架.基于SVM的机器学习模型四川流域的流域 四川流域

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相关实验视频

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科学领域:

  • 气候科学 气候科学
  • 水文学的水文学
  • 环境科学 环境科学

背景情况:

  • 全球气候变化正在增加极端天气事件的频率和严重性,导致更频繁和更严重的洪水灾害.
  • 城市化有助于增加不透水面积,加剧洪水风险.
  • 四川盆地是中国最容易受到洪水影响的地区,经常面临灾难性洪水.

研究的目的:

  • 量化四川盆地三个主要热点的洪水复发间隔的气候驱动变化.
  • 评估气候变化和人为因素如何影响这个以季风为主导的地区的洪水灾害概率.

主要方法:

  • 在各种共享社会经济路径 (SSP) 场景下利用结合模型相互比较项目第6阶段 (CMIP6) 预测.
  • 开发了一个基于物理的,基于过程的建模框架,包含统计缩小和极端值调整.
  • 进行洪水频率分析以了解水文制度的变化.

主要成果:

  • 预计到本世纪末气温上升约1.7°C,降雨量增加9.4%.
  • 预计在研究地区极端洪水灾难事件发生的可能性将翻一番.
  • 由于人类修改的水文制度,极端事件概率的放大.

结论:

  • 四川盆地因气候变化而面临极端洪水灾害的风险显著增加.
  • 强大的气候适应和减灾战略对于该地区至关重要.
  • 该研究强调了对综合方法的关键需求,以管理脆弱盆地的洪水风险.