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Related Concept Videos

Precipitate Formation and Particle Size Control01:16

Precipitate Formation and Particle Size Control

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...
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Precipitation Processes

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...
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

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Streamlines, Streaklines, and Pathlines

A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over time,...
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Precipitation and Co-precipitation

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...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

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Capturing Flow-weighted Water and Suspended Particulates from Agricultural Canals During Drainage Events
06:26

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Published on: November 7, 2017

Element patterns for particulate matter in stormwater effluent.

T David1, P Krebs, D Borchardt

  • 1Institute for Urban Water Management, Dresden University of Technology, 01062 Dresden, Germany. telse.david@ufz.de

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|November 5, 2011
PubMed
Summary
This summary is machine-generated.

Stormwater particulate matter impacts water quality. Analysis reveals distinct element patterns for sewage versus runoff constituents, though site-specific variability limits broad comparisons.

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Area of Science:

  • Environmental Chemistry
  • Water Quality Assessment
  • Geochemistry

Background:

  • Stormwater particulate matter significantly degrades receiving water and sediment quality.
  • Understanding the elemental composition of this matter is crucial for assessing its environmental impact.
  • Previous studies highlight the need for detailed characterization of stormwater pollutants.

Purpose of the Study:

  • To characterize particle-associated elements in stormwater from combined sewer overflows.
  • To differentiate constituents based on their origin (e.g., sewage vs. runoff).
  • To assess the variability of elemental patterns within and between different sampling sites.

Main Methods:

  • A six-month measurement campaign was conducted in Stassfurt.
  • Particle-associated concentrations of major pollutants and rare earth elements were determined.
  • Hierarchical cluster analysis was applied to differentiate constituents and assess pattern variability.

Main Results:

  • Distinct element patterns were observed for sewage-associated and runoff-associated constituents.
  • Variability within individual site sample sets limited the site-to-site comparability of element patterns.
  • The complexity of the catchment area influenced the observed intra-site variability.

Conclusions:

  • Elemental pattern analysis is a valuable tool for understanding stormwater pollutant origins.
  • Site-specific variability, driven by catchment complexity, is a key factor in interpreting stormwater data.
  • Further research is needed to refine methods for broader application in water quality management.