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Precipitation Processes01:12

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...
Precipitation and Co-precipitation01:17

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...
Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
Precipitation Gravimetry01:03

Precipitation Gravimetry

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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
What is Weather?01:07

What is Weather?

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Related Experiment Video

Updated: May 21, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Hurricane track forecast cones from fluctuations.

T Meuel1, G Prado, F Seychelles

  • 1Université Bordeaux 1, Laboratoire Ondes et Matière d’aquitaine (UMR 5798 CNRS), 33405 Talence, France.

Scientific Reports
|June 16, 2012
PubMed
Summary

This study introduces a novel method for predicting tropical cyclone tracks using statistical deviation properties. The new approach generates forecast corridors, improving landfall location uncertainty for hurricanes.

Related Experiment Videos

Last Updated: May 21, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Area of Science:

  • Meteorology
  • Atmospheric Sciences
  • Climate Dynamics

Background:

  • Tropical cyclone track prediction involves inherent uncertainties.
  • Current methods use forecast cones to represent probable cyclone locations, but lack direct statistical linkage to track deviations.

Purpose of the Study:

  • To develop a simple method for predicting tropical cyclone trajectory corridors.
  • To enhance the understanding of track forecast cones by linking them to statistical deviation properties.

Main Methods:

  • Utilizing statistical properties of historical track deviations.
  • Implementing a new scheme to predict future cyclone trajectory corridors.

Main Results:

  • The proposed method generates forecast corridors for cyclone trajectories.
  • Demonstrated effectiveness using examples from Hurricane Ike and Hurricane Jimena.
  • Corridors provide trajectory predictions up to 50 hours before landfall.

Conclusions:

  • The new method offers a statistically grounded approach to cyclone track forecasting.
  • These forecast corridors provide valuable insights into track prediction uncertainty.
  • The approach refines existing track forecast cones by incorporating deviation statistics.