Jove
Visualize
Contact Us

Related Concept Videos

Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

407
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
407
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

405
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
405
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

177
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
177
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

279
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
279
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

254
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
254
Conservation of Mass in Moving, Nondeforming Control Volume01:14

Conservation of Mass in Moving, Nondeforming Control Volume

1.2K
Stormwater detention basins are essential in managing runoff during heavy rainfall, particularly in urban areas where impervious surfaces increase the risk of flooding. Understanding the conservation of mass in these systems allows engineers to optimize basin performance, balancing inflow, outflow, and water storage.
In the context of a detention basin, the conservation of mass states that the total mass of water entering the basin must equal the mass leaving the basin plus any accumulation of...
1.2K

You might also read

Related Articles

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

Sort by
Same author

An algorithm to generate 2D bathymetry of an Alpine river for habitat suitability assessment.

The Science of the total environment·2024
Same author

Concurrent Occurrence of Infectious Bursal Disease and Multicausal Respiratory Infections Caused by Newcastle Disease and Avian Metapneumovirus in Broilers.

Archives of Razi Institute·2023
Same author

Challenges Calibrating Hydrology for Groundwater-Fed Wetlands: a Headwater Wetland Case Study.

Environmental modeling and assessment·2022
Same author

Selected plant essential oils inhibit biofilm formation and luxS- and pfs-mediated quorum sensing by Escherichia coli O157:H7.

Letters in applied microbiology·2022
Same author

Safety and Efficacy of Early Oral Feeding after Liver Transplantation with Roux-en-Y Choledochojejunostomy: A Single-Center Experience.

International journal of organ transplantation medicine·2020
Same authorSame journal

Modeling Nitrogen and Carbon dynamics in wetland soils and water using a mechanistic wetland model.

Journal of hydrologic engineering·2019
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 Experiment Video

Updated: Dec 11, 2025

The Benthic Exchange of O2, N2 and Dissolved Nutrients Using Small Core Incubations
10:11

The Benthic Exchange of O2, N2 and Dissolved Nutrients Using Small Core Incubations

Published on: August 3, 2016

10.3K

Capturing Spatial Variability of Biogeochemical Mass Exchanges and Reaction Rates in Wetland Water and Soil through

A Sharifi1, L Kalin2, A M Asce1,2,3,4,5,6

  • 1Research Associate, Univ. of Maryland, 10300 Baltimore Ave., Bldg. 007, Barc-West, Beltsville, MD 20705.

Journal of Hydrologic Engineering
|August 18, 2020
PubMed
Summary

This study improved a wetland model to analyze nutrient cycling in active and stagnant zones. Wetlands can retain approximately 23% of incoming nitrogen, with anaerobic processes increasing in less active areas.

More Related Videos

Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment
08:24

Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment

Published on: May 2, 2025

749
Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations
10:30

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

11.2K

Related Experiment Videos

Last Updated: Dec 11, 2025

The Benthic Exchange of O2, N2 and Dissolved Nutrients Using Small Core Incubations
10:11

The Benthic Exchange of O2, N2 and Dissolved Nutrients Using Small Core Incubations

Published on: August 3, 2016

10.3K
Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment
08:24

Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment

Published on: May 2, 2025

749
Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations
10:30

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

11.2K

Area of Science:

  • Environmental Science
  • Ecology
  • Biogeochemistry

Background:

  • Wetlands exhibit short-circuiting flow and stagnant zones, leading to differing biogeochemistry between active and passive areas.
  • Understanding spatial variability in nutrient cycling is crucial for wetland management and restoration.

Purpose of the Study:

  • To enhance a wetland nutrient cycling model to capture spatial variations in carbon and nitrogen cycles.
  • To investigate the differences in biogeochemical processes between active and passive wetland zones.

Main Methods:

  • Improved spatial resolution of a pre-existing wetland nutrient cycling model.
  • Incorporated advective and dispersive/diffusive mass transport between horizontal compartments.
  • Applied the upgraded model to a restored California wetland with a significant stagnant zone.

Main Results:

  • The wetland retained 23.4±3.9% of the incoming total nitrogen load.
  • Nitrogen cycling exchanges (physical and biogeochemical) decreased from active to passive zones.
  • Anaerobic processes became more significant in passive wetland areas.

Conclusions:

  • The enhanced model effectively captures spatial variability in wetland nutrient cycling.
  • Wetland design influences nitrogen retention and the prevalence of anaerobic processes.
  • Passive zones play a significant role in overall wetland biogeochemistry.