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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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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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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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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
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Design Example: Alignment of a Road Line Using GIS01:17

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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Related Experiment Video

Updated: Jul 2, 2025

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
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Risk analysis of critical infrastructure with the MOSAR method.

Ajda Fošner1, Brane Bertoncelj1, Tomaž Poznič1

  • 1GEA College, Slovenia.

Heliyon
|February 26, 2024
PubMed
Summary

Maintaining a robust electric energy system infrastructure is vital for national security and economic stability. This study identifies key risks like cyberattacks and network failures, emphasizing proactive risk assessment for reliable power delivery.

Keywords:
Critical infrastructureDistribution transformer stationsMOSAR methodRisk analysis

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Area of Science:

  • Energy Systems Engineering
  • Risk Management
  • Cybersecurity in Critical Infrastructure

Background:

  • The electric energy system's reliability is paramount, particularly amidst geopolitical instability.
  • A secure and accessible infrastructure is essential for consumer trust and economic stability.
  • Continuous operation mitigates financial losses and negative impacts on stakeholders.

Purpose of the Study:

  • To identify and analyze critical risks to the electric energy system.
  • To contribute to enhanced risk assessment methodologies for national power grids.
  • To underscore the importance of a resilient energy infrastructure.

Main Methods:

  • Utilized the Method Organised Systematic Analysis of Risk (MOSAR) for comprehensive risk identification.
  • Focused on key areas including cyber threats, system availability, human factors, and network integrity.
  • Evaluated current practices against best practices, technical standards, and safety measures.

Main Results:

  • Identified significant risks: cyberattacks, information technology system availability, loss of key personnel, and network issues.
  • Highlighted the necessity of timely, high-standard electrical energy delivery.
  • Emphasized adherence to best practices, technical standards, and safety protocols.

Conclusions:

  • The study provides valuable insights for risk assessment in national power systems.
  • Proactive identification and mitigation of threats are crucial for energy security and reliability.
  • A robust and resilient energy infrastructure is essential for uninterrupted operation.