Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting the...
Design Example: Designing a Residential Plumbing System01:25

Design Example: Designing a Residential Plumbing System

The design of residential plumbing systems requires carefully evaluating water demand, flow rates, and pressure dynamics to ensure both efficiency and reliability. The nature of water flow within pipes is defined by its Reynolds number, which classifies flow as either laminar (smooth) or turbulent.
Net Change Theorem01:22

Net Change Theorem

The Net Change Theorem is a fundamental principle in calculus that establishes a direct relationship between a function’s rate of change and its accumulated change over an interval. Mathematically, it states that the definite integral of a function's derivative over a given interval [a,b] yields the net change in the original function:This theorem has significant applications in various real-world scenarios, including physics, economics, and engineering. A particularly useful application is in...
Derivatives: Problem Solving01:26

Derivatives: Problem Solving

Temperature-Dependent Growth of Brook TroutThe growth of brook trout is closely influenced by water temperature. Experimental data demonstrate how trout weight changes over a 24-day period in response to varying water temperatures. At lower temperatures, such as 15.5 degrees Celsius, brook trout show significant weight gain. However, as the temperature increases, the amount of weight gained steadily decreases. At the highest temperature measured, 24.4 degrees Celsius, trout experience a net...
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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Integrating machine learning and multi-criteria decision analysis for health risk management in water distribution networks.

Scientific reports·2026
Same author

Variations of the Virome in Raw and Treated Water: A One-Year Follow-Up at Six Different Drinking Water Treatment Plants.

Environmental microbiology reports·2025
Same author

The Virucidal Effect of the Chlorination of Water at the Initial Phase of Disinfection May Be Underestimated If Contact Time Calculations Are Used.

Pathogens (Basel, Switzerland)·2023
Same author

Systematic literature review of the performance characteristics of Chebyshev polynomials in machine learning applications for economic forecasting in low-income communities in sub-Saharan Africa.

SN business & economics·2022
Same author

The UV Dose Used for Disinfection of Drinking Water in Sweden Inadequately Inactivates Enteric Virus with Double-Stranded Genomes.

International journal of environmental research and public health·2022
Same author

Cross-connections in drinking water distribution networks: Quantitative microbial risk assessment in combination with fault tree analysis and hydraulic modelling.

The Science of the total environment·2022

Related Experiment Video

Updated: May 24, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Replacement predictions for drinking water networks through historical data.

Annika Malm1, Olle Ljunggren, Olof Bergstedt

  • 1Gothenburg Water, Box 123, SE-424 23 Angered, Sweden. annika.malm@vatten.goteborg.se

Water Research
|February 22, 2012
PubMed
Summary

Future drinking water pipe replacement needs were predicted using over 100 years of historical data from Gothenburg, Sweden. This approach offers a reliable method for infrastructure planning, complementing traditional lifetime distribution functions.

More Related Videos

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

Related Experiment Videos

Last Updated: May 24, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

Area of Science:

  • Civil Engineering
  • Water Resource Management
  • Infrastructure Planning

Background:

  • Accurate prediction of drinking water distribution network replacement needs is crucial for infrastructure management.
  • Traditional lifetime prediction models are often limited by incomplete understanding of pipe deterioration processes.
  • Historical replacement data offers a valuable alternative for assessing future infrastructure demands.

Purpose of the Study:

  • To predict future replacement needs for drinking water distribution networks.
  • To evaluate the utility of historical replacement data for infrastructure assessment.
  • To analyze replacement needs within the framework of path dependence theory.

Main Methods:

  • Utilized over one hundred years of historical drinking water pipe replacement data from Gothenburg, Sweden.
  • Compared historical data with commonly used lifetime distribution curves.
  • Applied path dependence theory to interpret future replacement predictions.

Main Results:

  • Historical replacement data from Gothenburg provided a good fit with standard lifetime distribution curves.
  • The study successfully predicted future replacement needs based on empirical data.
  • Findings suggest that historical patterns significantly influence future infrastructure requirements.

Conclusions:

  • Historical data analysis is a viable and reliable method for predicting drinking water pipe replacement needs.
  • Understanding past replacement trends is essential for effective long-term infrastructure planning.
  • Path dependence theory provides a useful lens for interpreting long-term infrastructure replacement patterns.