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Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

1.9K
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...
486
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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Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

1.8K
In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...
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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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Precipitation of Ions03:11

Precipitation of Ions

28.0K
Predicting Precipitation
The equation that describes the equilibrium between solid calcium carbonate and its solvated ions is:
28.0K

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Updated: Jul 19, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
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一个基于深度学习的算法,用于识别使用Fengyun-4A卫星观测数据的降雨云.

Guangyi Ma1, Jie Huang2, Yonghong Zhang2

  • 1School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括
此摘要是机器生成的。

一个新的卷积神经网络 (CNN) 算法PCINet使用Fengyun-4A卫星数据准确识别降雨云. 该方法增强了定量降水估计和现在预测,特别是在白天使用可见/近红外光谱数据.

关键词:
云-4A 是一个深度学习是一种深度学习.尼希特梅伦的晚上降水云的识别 降水云的识别

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科学领域:

  • 气象学和大气科学 气象学和大气科学
  • 遥感技术 遥感技术 遥感技术
  • 人工智能在地球观测中的作用

背景情况:

  • 从卫星数据准确识别降雨云对于定量降雨估计和现在预测至关重要.
  • 现有的方法需要改进,以便在白天和夜晚的不同时间全面识别.

研究的目的:

  • 开发和评估一种基于卷积神经网络 (CNN) 的新型算法 (PCINet) 来识别降水云.
  • 评估可见/近红外光谱信息对白天降雨云识别的贡献.
  • 将PCINet的性能与其他图像细分的深度学习模型进行比较.

主要方法:

  • 利用了来自风云-4A (FY-4A) 卫星的高时空和多光谱数据.
  • 开发了一个CNN架构 (PCINet),具有多个规模结构和跳过连接策略.
  • 探索可见/近红外光谱波段对白天识别的影响.
  • 与其他五种深度学习模型进行了比较分析,使用长时间序列数据和大量降雨事件的案例研究.

主要成果:

  • 拟议的PCINet算法与基线深度学习模型相比,表现优越.
  • 整合可见/近红外光谱信息显著提高了白天降雨云识别准确度.
  • 该模型提供了准确和近乎实时的降雨云识别.

结论:

  • PCINet提供了一种有效的解决方案,用于在白天,夜晚和夜间准确地识别降水云.
  • 整合特定的光谱频段增强了该模型在白天分析的能力.
  • 该算法在降水监测和预测中的操作应用具有显著的潜力.