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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

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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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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

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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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Survival Tree01:19

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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.
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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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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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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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相关实验视频

Updated: Jan 16, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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使用随机森林利用卫星观测和地形特征绘制洪水易感性的地图.

Jorge Saavedra Navarro1, Ruodan Zhuang1, Cinzia Albertini1

  • 1Department of Civil, Construction and Environmental Engineering (DICEA), University of Naples Federico II, Naples, Italy.

The Science of the total environment
|September 25, 2025
PubMed
概括

这项研究通过使用随机森林模型和26个洪水条件因素,增强了意大利的洪水易感性测绘. 最好的模型,包括地形洪水指数,提高了准确性,有助于风险管理.

关键词:
造成洪水的条件因素.易受洪水影响的易感性地形洪水指数 地形洪水指数随机的森林 随机的森林卫星观测 卫星观测

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科学领域:

  • 环境科学 环境科学
  • 地质科学 地质科学
  • 数据科学数据科学数据科学

背景情况:

  • 洪水事件带来了重大破坏性风险,需要有效的风险管理策略.
  • 准确地绘制洪水易受性的地图对于社会和环境保护至关重要.

研究的目的:

  • 用随机森林 (RF) 模型评估意大利的洪水易感性.
  • 评估26个洪水条件因素 (FCF) 的有效性,并确定最佳预测器集.
  • 提高洪水易发地区识别的准确性和效率.

主要方法:

  • 采用随机森林 (RF) 模型进行洪水易感性评估.
  • 利用信息的平均价值 (AMI) 来最大限度地利用FCF信息和皮尔森相关性/VIF来解决对线性.
  • 通过卫星观测和历史洪水记录对模型进行校准;根据官方地图对11个因子集 (SoFs) 进行评估.

主要成果:

  • 使用SoF-1训练的射频模型 (包括平均最大每日降水量,地形洪水指数 (GFI),与河流的距离,海拔,岩石学,土壤,NDVI,土地覆盖) 显示出优异的概括性.
  • 包括GFI在内显著提高了预测准确性,特别是在以前未被绘制的区域.
  • 在平坦地形和数据稀缺地区预测易感性仍然存在挑战.

结论:

  • 整合卫星数据,互补数据集和优化预测器 (如GFI) 可以提高洪水易感性绘图的准确性.
  • 开发的方法简化了初步分析的计算过程.
  • 调查结果为洪水风险管理决策者提供了宝贵的见解.