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

100
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...
100
Adaptations that Reduce Water Loss01:57

Adaptations that Reduce Water Loss

26.3K
Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
26.3K
Survival Tree01:19

Survival Tree

159
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
159
Responses to Drought and Flooding02:41

Responses to Drought and Flooding

10.9K
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.
10.9K
Manipulation and Analysis01:21

Manipulation and Analysis

59
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...
59
Modeling and Similitude01:12

Modeling and Similitude

328
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...
328

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

Long-cycling and High-voltage Solid State Lithium Metal Batteries Enabled by Fluorinated and Crosslinked Polyether Electrolytes.

Angewandte Chemie (International ed. in English)·2024
Same author

Succulent-Inspired Implicit Structural Change for Smart "ON/OFF" Switchable and Flexible EMI Shielding Coating.

ACS applied materials & interfaces·2024
Same author

Global research on RNA vaccines for COVID-19 from 2019 to 2023: a bibliometric analysis.

Frontiers in immunology·2024
Same author

Macular Neural and Microvascular Alterations in Type 2 Diabetes Without Retinopathy: A SS-OCT Study.

American journal of ophthalmology·2024
Same author

Tumor characteristics, brain functional activity, and connectivity of tinnitus in patients with vestibular schwannoma: a pilot study.

Quantitative imaging in medicine and surgery·2024
Same author

Dysregulation of ferroptosis-related genes in granulosa cells associates with impaired oocyte quality in polycystic ovary syndrome.

Frontiers in endocrinology·2024

相关实验视频

Updated: Sep 9, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K

基于特征选择优化和可解释机器学习的城市浸水易感性评估

Chenxi Li1, Xiaofan Yang2, Xiaoyong Ni3

  • 1School of National Safety and Emergency Management, Beijing Normal University, Zhuhai, 519087, China.

Journal of environmental management
|August 29, 2025
PubMed
概括

这项研究引入了洪水易感性测绘的新框架,改善了特征选择和模型培训. 像海拔和国内生产总值这样的关键因素对中国深的淹水风险产生重大影响.

关键词:
基平方测试机器学习相互提供信息易受攻击的设施易受浸水的情况

更多相关视频

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.4K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.6K

相关实验视频

Last Updated: Sep 9, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K
Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.4K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.6K

科学领域:

  • 环境科学
  • 地理空间分析
  • 机器学习应用

背景情况:

  • 在洪水易感性研究中,机器学习 (ML) 往往缺乏解释性和概括性.
  • 功能选择和模型训练之间的断开阻碍了现有的ML模型的有效性.

研究的目的:

  • 开发和验证C2MI-ML框架,同时优化特征选择和洪水易感性评估的模型培训.
  • 鉴定影响中国深地区浸水易感的主要自然和社会经济因素.

主要方法:

  • 在C2MI-ML框架内整合基平方测试,相互信息和ML算法.
  • 在中国深的案例研究应用,利用多种数据集进行培训和验证.
  • 使用曲线下的面积 (AUC) 和卡帕系数进行性能评估.

主要成果:

  • 在C2MI-LightGBM模型中,AUC高达0.965;所有组合模型的AUC都超过0.95.
  • 其中,海拔和国内生产总值 (GDP) 是影响淹水的最重要因素.
  • 空间分析显示深西部的易感性较高,特定的地区和学校等易受影响的地点被确定.

结论:

  • C2MI-ML框架为洪水易感性建模提供了更好的解释性和概括性.
  • 这些发现突显了自然和社会经济因素在城市水浸层中的关键作用.
  • 这项研究为深的水灾风险管理和预警系统提供了可操作的见解.