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Hydroinformatics

Hydroinformatics is a computer 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 Hydroinformatics rather than just read about it. In short: Hydroinformatics is a branch of informatics which concentrates on the application of information and communications technologies (ICTs) in addressing the increasingly serious problems of the equitable and efficient use of water for many different purposes. Growing out of the earlier discipline of computational hydraulics, the numerical simulation of water flows and related processes remains a mainstay of hydroinform…

Key takeaways

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

Reference excerpt

Hydroinformatics is a branch of informatics which concentrates on the application of information and communications technologies (ICTs) in addressing the increasingly serious problems of the equitable and efficient use of water for many different purposes. Growing out of the earlier discipline of computational hydraulics, the numerical simulation of water flows and related processes remains a mainstay of hydroinformatics, which encourages a focus not only on the technology but on its application in a social context. On the technical side, in addition to computational hydraulics, hydroinformatics has a strong interest in the use of techniques originating in the so-called artificial intelligence community, such as artificial neural networks or recently support vector machines and genetic programming. These might be used with large collections of observed data for the purpose of data mining for knowledge discovery, or with data generated from an existing, physically based model in order to generate a computationally efficient emulator of that model for some purpose. Hydroinformatics recognises the inherently social nature of the problems of water management and of decision-making processes, and strives to understand the social processes by which technologies are brought into use. Since the problems of water management are most severe in the majority world, while the resources to obtain and develop technological solutions are concentrated in the hands of the minority, the need to examine these social processes are particularly acute. Hydroinformatics draws on and integrates hydraulics, hydrology, environmental engineering and many other disciplines. It sees application at all points in the water cycle from atmosphere to ocean, and in artificial interventions in that cycle such as urban drainage and water supply systems. It provides support for decision making at all levels from governance and policy through management to operations. Hydroinformatics is studied by researchers and practitioners in several countries, and postgraduate programmes in the field are offered by a number of institutions. The Journal of Hydroinformatics publishes research related to the field. Biennial hydroinformatics conferences have also been coordinated by organisations including the IAHR, the IWA, and the IAHS.

Further reading Eslamian, Saeid, ed. Handbook of HydroInformatics, Volume I: Classic Soft-Computing Techniques. Elsevier. Eslamian, Saeid, ed. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques. Elsevier. Eslamian, Saeid, ed. Handbook of HydroInformatics, Volume III: Water Data Management Best Practices. Elsevier.

References

External links Hydroinformatics Lab at Brigham Young University Hydroinformatics Lab at Tulane University (formerly University of Iowa) - Research and Community Platform. IHE Delft MSc / PhD in Hydroinformatics. EuroAquae - European master course of Hydroinformatics and Water Management. Hydroinformatics MSc at Newcastle University. The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Hydrologic Information System.

Worked examples

Example 1 — a first encounter with Hydroinformatics

Start with the simplest possible case. Write down what Hydroinformatics claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer 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 Hydroinformatics 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 Hydroinformatics 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 Hydroinformatics

In research
Hydroinformatics appears in computer 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 Hydroinformatics 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
Hydroinformatics is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational fields of study, Environmental engineering, Hydrology, so understanding it makes those chapters shorter.
In everyday life
Look for Hydroinformatics 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.

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How to study Hydroinformatics in 20 minutes

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

Frequently asked questions

What is Hydroinformatics in simple terms?

Hydroinformatics is a branch of informatics which concentrates on the application of information and communications technologies (ICTs) in addressing the increasingly serious problems of the equitable and efficient use of water for many different purposes. Growing out of the earlier discipline of c…

Why does Hydroinformatics matter?

Because it connects several computer 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 Hydroinformatics?

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 Hydroinformatics.

Tags

  • Computational fields of study
  • Environmental engineering
  • Hydrology
  • Information science by discipline

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