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Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

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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 Processes01:12

Precipitation Processes

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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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Types of Coprecipitation01:10

Types of Coprecipitation

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Coprecipitation is the contamination of a precipitate by otherwise soluble species and occurs via different processes. In colloidal precipitates, coprecipitation occurs via surface adsorption. For instance, barium sulfate has a primary layer of adsorbed barium ions and a secondary layer of nitrate counterions. This results in contamination of the precipitate by barium nitrate.
Sometimes, ions in a crystal lattice can undergo isomorphous replacement by inclusions of similar charge and size. For...
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What is Climate?01:16

What is Climate?

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Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
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Precipitation Gravimetry01:03

Precipitation Gravimetry

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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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Precipitate Formation and Particle Size Control01:16

Precipitate Formation and Particle Size Control

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In precipitation gravimetry, the precipitating agent should react specifically or selectively with the analyte. While a specific reagent reacts with the analyte alone, a selective reagent can react with a limited number of chemical species.
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Emergent constraints on future precipitation changes.

Hideo Shiogama1, Masahiro Watanabe2, Hyungjun Kim3,4,5

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Summary

Future climate models show reduced uncertainty in global precipitation change (ΔP) projections. By analyzing recent trends, scientists constrained precipitation projections, offering more reliable data for impact assessments.

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Area of Science:

  • Climate science
  • Earth system modeling
  • Atmospheric science

Background:

  • Global mean precipitation change (ΔP) projections exhibit higher uncertainty than global mean temperature changes (ΔT).
  • Observational constraints for ΔP are less studied than for ΔT, often complicated by aerosol influences.
  • Existing Earth-system models show significant variability in future precipitation predictions.

Purpose of the Study:

  • To reduce uncertainties in future global precipitation change (ΔP) projections using observational constraints.
  • To establish reliable ranges for ΔP under medium greenhouse gas scenarios.
  • To improve the accuracy of climate model outputs for impact assessments.

Main Methods:

  • Utilized Coupled Model Intercomparison Project phases 5 and 6 ensembles.
  • Analyzed correlations between ΔP (2051-2100) and recent global mean temperature trends (post-1980).
  • Examined correlations between ΔP and recent precipitation trends, excluding tropical land areas.

Main Results:

  • The upper bound of ΔP projections was lowered from 6.2% to 5.2-5.7% under a medium greenhouse gas scenario.
  • ΔP for 2051-2100 showed significant correlation with post-1980 global mean temperature trends.
  • Variance of ΔP was reduced by 8-30% based on observational constraints and recent trends.

Conclusions:

  • Observationally constrained ΔP ranges provide more reliable estimates for future precipitation changes.
  • The study successfully reduced uncertainty in climate model projections of precipitation.
  • Improved ΔP projections will enhance the accuracy of climate change impact assessments.