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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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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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Precipitation Titration Curve: Analysis01:21

Precipitation Titration Curve: Analysis

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The precipitation titration curve demonstrates the change in concentration of one reactant with the volume of titrant added. During the titration of chloride ions with silver nitrate, the precipitation titration curve is divided into three regions: before, at, and after the equivalence point. Before the equivalence point, low redissolution of the sparingly soluble silver chloride precipitate gives a low silver ion concentration. However, in the second region, representing the equivalence point,...
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Light Acquisition02:16

Light Acquisition

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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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.
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A harmonized global gridded transpiration product based on collocation analysis.

Changming Li1, Juntai Han1, Ziwei Liu1

  • 1State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China.

Scientific Data
|June 7, 2024
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Summary
This summary is machine-generated.

A new method improves global transpiration datasets by accounting for error cross-correlation. This leads to a more reliable long-term dataset crucial for understanding water cycle dynamics.

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Area of Science:

  • Earth System Science
  • Hydrology
  • Remote Sensing

Background:

  • Transpiration is a key component of the global water cycle, influenced by environmental factors and human activities.
  • Accurate global transpiration datasets are vital for climate modeling and water resource management.
  • Existing methods for assessing transpiration product errors often neglect error cross-correlation, limiting their reliability.

Purpose of the Study:

  • To develop a more reliable global transpiration dataset by incorporating error cross-correlation into collocation analysis.
  • To improve multisource data fusion techniques for hydrological variables.
  • To provide a long-term, high-resolution global transpiration dataset for scientific research.

Main Methods:

  • Employed collocation analysis with consideration of non-zero error cross-correlation (ECC) to assess errors in multiple transpiration products.
  • Merged multiple transpiration products using the improved collocation analysis to create a unified dataset.
  • Validated the merged dataset against in-situ observations and partitioned transpiration data from FLUXNET sites across diverse vegetation types.

Main Results:

  • Developed a long-term (2000-2020) daily global transpiration dataset at 0.1° resolution.
  • The merged dataset demonstrates superior reliability compared to individual input products.
  • The enhanced methodology, accounting for ECC, significantly improves the accuracy and trustworthiness of the transpiration data.

Conclusions:

  • Incorporating error cross-correlation in collocation analysis is a significant advancement for creating reliable hydrological datasets.
  • The new global transpiration dataset offers enhanced accuracy and is validated across various ecosystems.
  • This work provides a valuable resource for understanding transpiration dynamics in a changing climate.