Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

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

46
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...
46
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

74
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...
74
Rapidly Varying Flow01:24

Rapidly Varying Flow

60
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
60
Typical Model Studies01:30

Typical Model Studies

358
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.
358
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

164
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.
164
Gradually Varying Flow01:29

Gradually Varying Flow

46
Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
46

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

CDK10 loss primes tumor cells for transcriptional vulnerability and sensitizes to CDK12/13 inhibition.

Cell death & disease·2026
Same author

Exploring the Relationship Between MDM4 Gene Polymorphisms (rs1380576 and rs4245739) and Breast Cancer Susceptibility in Bangladesh: A Case-Control Study.

Journal of clinical laboratory analysis·2026
Same author

Advancing skin cancer detection through deep learning and fusion of patient metadata and skin lesion images.

Scientific reports·2026
Same author

Correction: Navigating the complexities of end-stage kidney disease (ESKD) from risk factors to outcome: insights from the UK Biobank cohort.

BMC nephrology·2025
Same author

Navigating the complexities of end-stage kidney disease (ESKD) from risk factors to outcome: insights from the UK Biobank cohort.

BMC nephrology·2025
Same author

Mechanically robust and thermally insulating natural cotton fiber-reinforced biocomposite panels for structural applications.

RSC advances·2025

相关实验视频

Updated: Jun 28, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K

一个数据驱动的全球洪水预测系统,用于中型和大型河流.

Wahid Palash1, Ali S Akanda2, Shafiqul Islam3

  • 1Integrated Sustainability, Calgary, AB, T2P 4H2, Canada.

Scientific reports
|April 18, 2024
PubMed
概括

一个新的非常简单的 (ReqSim) 洪水预报系统为全球河流流域提供了准确的,数据驱动的预警. 该系统简化了洪水预测,改善了全球对灾难性洪水事件的准备.

更多相关视频

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
06:37

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

9.2K
Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

11.2K

相关实验视频

Last Updated: Jun 28, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K
Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
06:37

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

9.2K
Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

11.2K

科学领域:

  • 水文和水资源水文与水资源
  • 环境建模环境建模
  • 灾害管理 灾害管理

背景情况:

  • 灾难性洪水需要改进预警系统,以做好准备和应对.
  • 准确的洪水预测受到建模,校准和验证方面的不确定性所阻碍.
  • 现有的系统往往缺乏全球实施的简单性和适应性.

研究的目的:

  • 引入必要简单的 (ReqSim) 洪水预测系统.
  • 为了证明该系统在为各种全球河流盆地提供有用的实时洪水预测方面的有效性.
  • 分析影响预测准确度和交付时间的因素.

主要方法:

  • 开发了一个数据驱动的建模框架,包括关键的盆地水文学和大气强迫变量.
  • 设计了一个简单的建模结构,对全球定制的数据要求最小.
  • 通过全球主要河流流域的运营预测验证了该系统.

主要成果:

  • ReqSim系统为许多河流流域提供了有用的预测,包括河,长江,尼日尔,多河,帕拉纳河和密西西比河.
  • 预测准确度和交付时间与盆地大小,地形,水文气象学和流量控制有关.
  • 在中度斜率,高流持久性和有限流量控制的河流系统中观察到最佳性能.

结论:

  • ReqSim系统提供了一个可定制和有效的解决方案,用于实时预测中型和大型河流流域的洪水.
  • 它的简单结构,最小的数据需求和操作准确性使其成为提高全球洪水准备能力的有吸引力的选择.
  • ReqSim解决了准确预测洪水的挑战,有助于更好地应对灾害和减轻灾害的努力.