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Air-entraining Agents01:27

Air-entraining Agents

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Air-entraining agents improve the durability and workability of concrete in climates with frequent freezing and thawing. These agents prevent cracks by introducing small air bubbles into the mix, creating spaces accommodating water expansion when temperatures drop. The air-entraining agents lower the surface tension of water, forming stable, small air bubbles. This method is more effective than having accidental large voids, as the intentional, smaller, and evenly distributed air voids improve...
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Quality of Water01:19

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In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Air entrainment in concrete significantly enhances the material's durability, especially in environments subjected to freeze-thaw cycles. Introducing small air bubbles into the concrete mix acts as internal voids that accommodate the expansion of water when it freezes, thereby alleviating internal stress and preventing structural cracks. This function is crucial in climates with significant freezing and thawing, as it protects the concrete from repeated stresses that could lead to premature...
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Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
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Assessment of air quality using a cloud model method.

Qingwei Xu1, Kaili Xu1

  • 1School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, People's Republic of China.

Royal Society Open Science
|March 7, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel cloud model method for air quality assessment, effectively analyzing pollution indicators like PM2.5 and SO2. The findings validate this approach for better environmental management and public health.

Keywords:
air pollution indicatorair quality assessmentcloud generatorcloud modelseasonal variation

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Area of Science:

  • Environmental Science
  • Atmospheric Chemistry
  • Data Science

Background:

  • Effective air pollution control requires accurate air quality assessment.
  • Existing methods may not fully capture the uncertainty inherent in air quality data.

Purpose of the Study:

  • To introduce and validate a cloud model method for comprehensive air quality assessment.
  • To analyze air pollution levels and seasonal variations for informed policy decisions.

Main Methods:

  • Developed standard cloud models for key air pollution indicators (SO2, NO2, CO, O3, PM10, PM2.5).
  • Applied qualitative and quantitative cloud model analysis to assess pollution levels, incorporating fuzziness and randomness.
  • Validated the cloud model using grey relational analysis and entropy/hyper entropy.

Main Results:

  • The cloud model effectively converts qualitative air quality concepts into quantitative values, accounting for uncertainty.
  • Assessment results for SO2, NO2, CO, O3, PM10, and PM2.5 were analyzed.
  • Validation confirmed the reliability of the cloud model for air quality assessment, including AQI determination.

Conclusions:

  • The cloud model offers a robust and novel approach to air quality assessment, handling inherent uncertainties.
  • Analysis of seasonal variations provides actionable insights for policymakers and travelers.
  • This method enhances the understanding and management of air pollution.