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

Quality of Water01:19

Quality of Water

195
In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
195
Testing Water Quality01:14

Testing Water Quality

191
When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
191
Typical Model Studies01:30

Typical Model Studies

448
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.
448
Modeling and Similitude01:12

Modeling and Similitude

346
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
346

You might also read

Related Articles

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

Sort by
Same author

A Methodology for Designing a Roof Rainwater Quality Sensing-Recording-Grading System Using Low-Cost Sensors Paired with Microcontroller Software.

ACS ES&T water·2025
Same author

New paths for modelling freshwater nature futures.

Sustainability science·2025
Same author

Modeling Metal(loid)s Transport in Arid Mountain Headwater Andean Basin: A WASP-Based Approach.

Water·2025
Same author

Enhancing Hydrological Modeling of Ungauged Watersheds through Machine Learning and Physical Similarity-based Regionalization of Calibration Parameters.

Environmental modelling & software : with environment data news·2025
Same author

ESAT: Environmental Source Apportionment Toolkit Python package.

Journal of open source software·2025
Same author

Enhancing prediction and inference of daily in-stream nutrient and sediment concentrations using an extreme gradient boosting based water quality estimation tool - XGBest.

The Science of the total environment·2025

Related Experiment Video

Updated: Sep 18, 2025

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
06:37

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

9.3K

Modeling water quality in a subalpine lake.

Jonathan Clough1, Brenda Rashleigh2, Rajbir Parmar3

  • 1Warren Pinnacle Consulting, Waitsfield, Vermont, USA.

Ecological Modelling
|June 23, 2025
PubMed
Summary
This summary is machine-generated.

This study tested the AQUATOX aquatic ecosystem model in a subalpine lake, finding it effective for phytoplankton dynamics during ice-off but needing improvements for winter conditions and specific ecological processes.

Keywords:
AQUATOXEcosystem modelingPhytoplankton dynamicsSubalpine lakes

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K
Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading
10:49

Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading

Published on: March 6, 2014

17.5K

Related Experiment Videos

Last Updated: Sep 18, 2025

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
06:37

Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds

Published on: November 13, 2017

9.3K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.1K
Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading
10:49

Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading

Published on: March 6, 2014

17.5K

Area of Science:

  • Environmental Science
  • Limnology
  • Ecological Modeling

Background:

  • Subalpine lakes face increasing environmental risks.
  • Aquatic ecosystem models are crucial for understanding lake dynamics.
  • Limited application of models to subalpine lakes, which have unique characteristics.

Purpose of the Study:

  • Assess AQUATOX model applicability to a subalpine lake.
  • Identify modeling gaps for subalpine lake ecosystems.
  • Evaluate model performance for phytoplankton and nutrient dynamics.

Main Methods:

  • Applied the AQUATOX model to the Loch, a subalpine lake in Colorado.
  • Calibrated and simulated phytoplankton dynamics during ice-off and ice-on periods.
  • Simulated a nutrient bioassay experiment (nitrate and phosphorus).

Main Results:

  • AQUATOX successfully represented phytoplankton dynamics during ice-off.
  • Model underestimated winter chlorophyll a concentrations during ice-on calibration.
  • Nitrate was well simulated; phosphorus was overestimated but showed a consistent pattern.

Conclusions:

  • Current aquatic ecosystem models can be used for subalpine lakes with sufficient data.
  • Future model development should focus on boundary conditions, light data, mixotrophy, and ice processes.
  • The study highlights areas for enhancing ecological models for cold-region lakes.