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Precipitation Processes01:12

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The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
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Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
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Precipitation Gravimetry01:03

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Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
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A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
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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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Predicting Precipitation
The equation that describes the equilibrium between solid calcium carbonate and its solvated ions is:
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Using Generative Art to Convey Past and Future Climate Transitions
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Dynamically-downscaled probabilistic projections of precipitation changes: A Canadian case study.

Xiuquan Wang1, Guohe Huang1, Brian W Baetz2

  • 1Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, Saskatchewan, Canada S4S 0A2.

Environmental Research
|April 2, 2016
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Summary

Global warming is projected to increase annual precipitation in Ontario, Canada. Seasonal changes vary, with potential decreases in summer precipitation and increases in other seasons, highlighting regional climate modeling uncertainties.

Keywords:
Changes in precipitationClimate changeGlobal warmingOntarioRegional climate modeling

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Area of Science:

  • Climate Science
  • Environmental Science
  • Atmospheric Science

Background:

  • Global warming impacts precipitation patterns.
  • Regional climate modeling is crucial for understanding localized climate change effects.
  • Ontario, Canada faces potential shifts in its hydrological cycle.

Purpose of the Study:

  • Investigate plausible changes in annual and seasonal precipitation over Ontario, Canada.
  • Utilize a regional climate modeling approach to project future climate scenarios.
  • Quantify uncertainties in climate model projections.

Main Methods:

  • Employed a high-resolution regional climate model ensemble using the Providing REgional Climates for Impacts Studies (PRECIS) model.
  • Applied a Bayesian hierarchical model to quantify uncertainties and generate probabilistic projections.
  • Analyzed precipitation changes at grid point scales for various time periods (2030s, 2050s, 2080s).

Main Results:

  • Projected median annual precipitation changes are between 0% and 20%, indicating a likely increase.
  • Annual precipitation is expected to increase by approximately 7.5% by the 2030s/2050s and 12.5% by the 2080s.
  • Significant spatial variability in seasonal precipitation changes observed, with notable variations in spring precipitation and a projected decrease in summer precipitation.

Conclusions:

  • Annual precipitation over Ontario is likely to increase under global warming scenarios.
  • Seasonal precipitation patterns will exhibit significant variability, with potential decreases in summer.
  • Model biases in historical simulations correlate with increased uncertainty in future climate projections.