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Related Concept Videos

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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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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Statistical Methods for Analyzing Epidemiological Data01:25

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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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Watershed Planning within a Quantitative Scenario Analysis Framework
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Quantification of urban mitigation potentials - coping with data heterogeneity.

Fabian Reitemeyer1, David Fritz2, Nikolai Jacobi3

  • 1Potsdam Institute for Climate Impact Research - PIK, Member of Leibniz Association, P.O. Box 601203, Potsdam, 14412, Germany.

Heliyon
|June 12, 2023
PubMed
Summary

Urban planning significantly impacts climate action. Strategies like sustainable building materials (e.g., wood) and transport shifts offer high mitigation potential for cities facing population growth.

Keywords:
00001111Data heterogeneityMitigation potentialsRedensificationSustainable buildingTransport

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Area of Science:

  • Urban planning and climate change mitigation
  • Sustainable urban development
  • Environmental science and policy

Background:

  • Cities are central to European and international climate action efforts.
  • Growing urban populations increase pressure on infrastructure and development, necessitating focused urban planning.
  • Existing urban planning approaches often lack standardized quantification methods for climate impact assessment.

Purpose of the Study:

  • To introduce adaptable quantification approaches for assessing urban planning measures.
  • To evaluate the climate mitigation potential across sustainable building, transport, and redensification strategies.
  • To provide tools applicable across diverse urban data availability levels.

Main Methods:

  • Development of flexible quantification approaches for urban planning impacts.
  • Calculation of mitigation potentials for measures including modal shifts, material substitution (wood in construction), and redensification scenarios.
  • Analysis tailored to accommodate varying data availability across different cities.

Main Results:

  • Substitution of conventional building materials with wood demonstrates significant climate mitigation potential.
  • Modal shifts in transport and various redensification strategies also contribute to climate mitigation.
  • Building construction, integrated with urban planning and design, is identified as a key climate change mitigation driver in urban environments.

Conclusions:

  • Integrated urban planning and building design are crucial for city-level climate change mitigation.
  • Mixed quantification approaches are necessary due to data heterogeneity among cities.
  • Identifying high-potential measures and policy areas is key for effective climate action.