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Related Concept Videos

Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

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Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
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Typical Model Studies01:30

Typical Model Studies

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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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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.
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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Sampling Methods: Overview01:06

Sampling Methods: Overview

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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
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Contaminants and Errors01:16

Contaminants and Errors

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Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
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Related Experiment Video

Updated: Apr 19, 2026

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
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Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

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Sampling, testing and modeling particle size distribution in urban catch basins.

G Garofalo1, M Carbone1, P Piro1

  • 1University of Calabria, Department of Civil Engineering, Cubo 42B, Rende (CS), Italy

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|December 16, 2014
PubMed
Summary

Catch basins near high-traffic areas capture significant particulate matter (PM), with fine particles (<45 μm) dominating. Filter units in these basins can reduce PM load by 30-40%.

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Area of Science:

  • Environmental Engineering
  • Water Quality Management
  • Urban Hydrology

Background:

  • Particulate matter (PM) in urban runoff poses environmental risks.
  • Catch basins are crucial for managing stormwater pollutants.
  • Understanding PM characteristics is key to effective treatment.

Purpose of the Study:

  • Analyze particle size distribution of PM in catch basins near traffic areas.
  • Evaluate the treatment performance of a filter medium.
  • Model the hydrological response and treatment quality of catch basins.

Main Methods:

  • Field sampling of PM in two catch basins (parking lot and traffic intersection).
  • Laboratory testing of a filter medium's treatment performance.
  • Numerical modeling using field data and experimental results.

Main Results:

  • Average PM concentrations: ~300 mg/L (parking lot) and ~400 mg/L (road).
  • Fine PM (<45 μm) constituted 40-50% of the total PM mass.
  • Numerical model indicated 30-40% PM load removal by catch basins with filters.

Conclusions:

  • Catch basins effectively retain substantial amounts of PM, particularly fine particles.
  • Filter units enhance PM removal efficiency in catch basins.
  • Storm characteristics influence the effectiveness of PM filtration.