science

MERCURE

MERCURE is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand MERCURE rather than just read about it. In short: MERCURE is an atmospheric dispersion modeling CFD code developed by Électricité de France (EDF) and distributed by ARIA Technologies, a French company. MERCURE is a version of the CFD software ESTET, developed by EDF's Laboratoire National d'Hydraulique.

Key takeaways

MERCURE belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect MERCURE to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of MERCURE from memory before moving on to harder problems.

Reference excerpt

MERCURE is an atmospheric dispersion modeling CFD code developed by Électricité de France (EDF) and distributed by ARIA Technologies, a French company. MERCURE is a version of the CFD software ESTET, developed by EDF's Laboratoire National d'Hydraulique. Thus, it has directly benefited from the improvements developed for ESTET. When requested, ARIA integrates MERCURE as a module into the ARIA RISK software for use in industrial risk assessments.

Features of the model MERCURE is particularly well adapted to perform air pollution dispersion modelling on local or urban scales. Some of the models capabilities and features are:

Pollution source types: Point or line sources, continuous or intermittent. Pollution plume types: Buoyant or dense gas plumes. Deposition: The model is capable of simulating the deposition or decay of plume pollutants.

Users of the model There are many organizations that have used MERCURE. To name a few:

Électricité de France (EDF) Laboratoire de Mécanique des Fluides et d’Acoustique (LMFA) de l'École Centrale de Lyon, France Institut de radioprotection et de sûreté nucléaire (IRSN), Fontenay, France The Italian National Agency for New Technology, Energy and the Environment (ENEA), Bologna, Italy Queensland University of Technology, Brisbane, Australia

See also Bibliography of atmospheric dispersion modeling Atmospheric dispersion modeling List of atmospheric dispersion models

Further reading For those who are unfamiliar with air pollution dispersion modelling and would like to learn more about the subject, it is suggested that either one of the following books be read:

Turner, D.B. (1994). Workbook of atmospheric dispersion estimates: an introduction to dispersion modeling (2nd ed.). CRC Press. ISBN 1-56670-023-X. www.crcpress.com Beychok, M.R. (2005). Fundamentals Of Stack Gas Dispersion (4th ed.). self-published. ISBN 0-9644588-0-2. www.air-dispersion.com

References

External links ARIA Technologies web site (English version) EDF website (English version)

Worked examples

Example 1 — a first encounter with MERCURE

Start with the simplest possible case. Write down what MERCURE claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to MERCURE before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about MERCURE ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of MERCURE

In research: MERCURE appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses MERCURE in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: MERCURE is common in secondary-school and first-year university syllabi. It links to neighbouring topics Atmospheric dispersion modeling, Électricité de France, so understanding it makes those chapters shorter.
In everyday life: Look for MERCURE outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study MERCURE in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what MERCURE means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain MERCURE out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is MERCURE in simple terms?

Why does MERCURE matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study MERCURE?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on MERCURE.