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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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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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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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Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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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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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Updated: Jun 8, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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提高精确的洪水绘图:揭示了Pahang的漏洞

Tahmina Afrose Keya1,2, Siventhiran S Balakrishnan3, Maheswaran Solayappan4

  • 1Department of Community Medicine, AIMST University, Bedong, Kedah, Malaysia.

PloS one
|November 7, 2024
PubMed
概括
此摘要是机器生成的。

这项研究使用集体机器学习开发了马来西亚Pahang的洪水易感性地图. 雨量和海拔被确定为关键因素,突出了改善洪水管理的高风险地区.

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科学领域:

  • 环境科学 环境科学
  • 地理空间分析是什么
  • 机器学习 机器学习

背景情况:

  • 马来西亚的 Pahang 面临每年严重的洪水,造成广泛的破坏.
  • 有效的洪水管理需要准确的易感性映射.

研究的目的:

  • 使用集成机器学习 (EML) 算法创建Pahang的洪水易感性地图.
  • 识别和排名影响该地区洪水易感性的因素.

主要方法:

  • 使用地理信息系统 (GIS) 和ArcGIS软件.
  • 采用随机森林 (RF) 模型和特征选择 (FS) 进行分析.
  • 分析了9个地理空间因素,包括降雨量,海拔和土地使用/土地覆盖 (LULC).

主要成果:

  • 雨量和海拔被确定为影响洪水的最重要因素.
  • "非常高"和"高"等级的洪水易感性分别占该地区的37.1%和26.3%.
  • 东部,南部和中部的帕罕州被确定为高风险的洪水区.

结论:

  • 使用EML进行洪水易感性测绘为降低风险提供了强大的工具.
  • 这些发现可以为脆弱地区的目标洪水管理策略提供信息.
  • 先进的方法提高了社区对洪水事件的抵御力.