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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

72
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...
72
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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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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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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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:
153
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

227
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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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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相关实验视频

Updated: Jul 23, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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设计一个高效的数据驱动决策支持系统,通过使用数据湖分析异质和多个数据源来预测洪水.

Sreepathy H V1, B Dinesh Rao1, Mohan Kumar J1

  • 1Manipal School of Information Sciences, MAHE, Manipal, 576104, India.

MethodsX
|July 14, 2023
PubMed
概括

本研究介绍了一个数据湖架构,用于管理各种洪水引起的数据,以获得更好的洪水预测模型. 这种方法增强了早期洪水预警,减少了自然灾害造成的社会经济损失.

科学领域:

  • 环境科学 环境科学
  • 数据科学数据科学数据科学
  • 水文学 水文学

背景情况:

  • 洪水是普遍存在的全球自然灾害,对人类生活和经济产生重大影响.
  • 由于数据的复杂性,现有的洪水预测模型往往无法纳入所有异构的洪水引起因素.
  • 有效的洪水预报对于减轻灾害影响和社会经济损失至关重要.

研究的目的:

  • 为了应对处理异质数据源来进行洪水预测的挑战.
  • 提出一个新的大数据架构,数据湖,用于摄取和存储各种洪水相关数据.
  • 提高洪水预报和预警系统的准确性和可靠性.

主要方法:

  • 开发一个数据湖架构来管理导致洪水的异质数据.
  • 利用推断统计方法来分析洪水引起因素的相关性.
  • 机器学习模型创建使用原始,多样化的数据摄入到数据湖.

主要成果:

  • 数据湖架构成功地以原始格式吸收和存储异构的洪水数据.
  • 推理统计确定了导致洪水的关键因素及其对预测结果的统计相关性.
  • 建立了一个创建更准确,更全面的洪水预测模型的基础.
关键词:
数据湖 数据湖 数据湖预测洪水的预测洪水造成的重要因素.推理统计学 推理统计学

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相关实验视频

Last Updated: Jul 23, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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结论:

  • 拟议的数据湖架构为在洪水预测中管理各种数据提供了可行的解决方案.
  • 准确的洪水预测模型,以统计相关因素为基础,可以显著改善预警系统.
  • 实施这些系统可以减少社会经济损失,并在洪水事件中提高公共安全.