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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

665
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...
665
Types of Coprecipitation01:10

Types of Coprecipitation

976
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...
976
What is Climate?01:16

What is Climate?

19.3K
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.
19.3K
Precipitation Gravimetry01:03

Precipitation Gravimetry

7.9K
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...
7.9K
Precipitate Formation and Particle Size Control01:16

Precipitate Formation and Particle Size Control

1.1K
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.
The obtained precipitate should be either a pure substance of known composition or easily converted to one by a simple process, such as ignition or drying. In addition, the precipitate should be insoluble and easily filterable. In general, filterability...
1.1K

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Updated: Oct 2, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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对未来降水变化的新出现的约束

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

  • 1Earth System Division, National Institute for Environmental Studies, Tsukuba, Japan. shiogama.hideo@nies.go.jp.

Nature
|February 24, 2022
PubMed
概括

未来的气候模型显示全球降水变化 (ΔP) 预测的不确定性减少. 通过分析最近的趋势,科学家们限制了降水预测,为影响评估提供了更可靠的数据.

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Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
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Using Generative Art to Convey Past and Future Climate Transitions
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Watershed Planning within a Quantitative Scenario Analysis Framework
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Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
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Using Generative Art to Convey Past and Future Climate Transitions
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科学领域:

  • 气候科学
  • 地球系统建模
  • 大气科学

背景情况:

  • 全球平均降水变化 (ΔP) 预测的不确定性高于全球平均温度变化 (ΔT).
  • 对于 ΔP 的观察约束比 ΔT 的研究少,通常因气溶的影响而复杂化.
  • 现有的地球系统模型显示了未来降水预测的显著变化.

研究的目的:

  • 使用观测约束来减少未来全球降水变化 (ΔP) 预测的不确定性.
  • 在中等温室气体场景下确定 ΔP 的可靠范围.
  • 提高气候模型对影响评估的准确性.

主要方法:

  • 使用了5和6阶段的合模型对比项目组合.
  • 分析了 ΔP (2051-2100) 与最近的全球平均温度趋势 (1980年以后) 之间的相关性.
  • 研究了 ΔP 与近期降水趋势之间的相关性,不包括热带陆地地区.

主要成果:

  • 在温室气体中等情景下, ΔP预测的上限从6.2%降至5.2-5.7%.
  • 在2051-2100年, ΔP与1980年后的全球平均温度趋势有显著的相关性.
  • 根据观察约束和最近的趋势, ΔP 的变量减少了 8-30%.

结论:

  • 由观测限制的 ΔP 范围为未来降水变化提供了更可靠的估计.
  • 这项研究成功地减少了气候模型降雨预测的不确定性.
  • 改善的 ΔP 预测将提高气候变化影响评估的准确性.