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

Lung Capacity01:47

Lung Capacity

56.2K
The air in the lungs is measured in volumes and capacities. Lung volume measures reflect the amount of air taken in, released, or left over after a lung function, like a single inhalation. Lung capacity measures are sums of two or more lung volume measures.
56.2K
Solution Equilibrium and Saturation01:59

Solution Equilibrium and Saturation

21.7K
Imagine adding a small amount of sugar to a glass of water, stirring until all the sugar has dissolved, and then adding a bit more. You can repeat this process until the sugar concentration of the solution reaches its natural limit, a limit determined primarily by the relative strengths of the solute-solute, solute-solvent, and solvent-solvent attractive forces. You can be certain that you have reached this limit because, no matter how long you stir the solution, undissolved sugar remains. The...
21.7K
Self-Help Support Groups01:28

Self-Help Support Groups

341
Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
341
Decision Making01:20

Decision Making

943
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
943
Development of Analytical Methods01:21

Development of Analytical Methods

1.8K
An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
1.8K
Respiratory Capacities01:24

Respiratory Capacities

1.4K
Respiratory capacities are crucial indicators of lung function, representing the maximum amount of air an individual's respiratory system can handle during various breathing phases.
One key metric is the Inspiratory Capacity (IC), which represents the maximum amount of air that can be inhaled with full effort. IC is calculated by summing the tidal volume and inspiratory reserve volume, typically ranging from 2.4 to 3.6 liters.
The Functional Residual Capacity (FRC) represents the air in the...
1.4K

You might also read

Related Articles

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

Sort by
Same author

A New Era of Collaborative MODFLOW Development.

Ground water·2026
Same author

Multi-Objective Optimization of a Hydro-Economic Model in an Over-Allocated Agricultural Basin.

Ground water·2026
Same author

PEST++IES How Many Iterations and Realizations, Finding the Point of Diminishing Returns.

Ground water·2025
Same author

Parameter ESTimation With the Gauss-Levenberg-Marquardt Algorithm: An Intuitive Guide.

Ground water·2024
Same author

Evaluation of an Impulse-Response Emulator for Groundwater Contaminant Transport Modeling.

Ground water·2024
Same author

Effects of Auto-Adaptive Localization on a Model Calibration Using Ensemble Methods.

Ground water·2023
Same journal

Leaky Sewers Hydraulically Disconnect from Groundwater: A Proof-of-Concept.

Ground water·2026
Same journal

Python-Based Model Emulation Workflows with PEST.

Ground water·2026
Same journal

Hydrogeology in the Age of AI and Climate Change.

Ground water·2026
Same journal

Aquifer Thermal Energy Storage: Groundwater for Efficient Data Center Cooling in the United States.

Ground water·2026
Same journal

Simulating the Impacts of Deep Geothermal Development on Shallow Hydrothermal Resources in a Rocky Mountain Rift Valley.

Ground water·2026
Same journal

Discharge-Targeted Hydraulic Tomography to Quantify and Locate Aquifer Discharge.

Ground water·2026
See all related articles
  1. Home
  2. Teach Me How To Pycap: A High-capacity Well Decision Support Tool Using Analytical Solutions In Python.
  1. Home
  2. Teach Me How To Pycap: A High-capacity Well Decision Support Tool Using Analytical Solutions In Python.

Related Experiment Video

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.3K

Teach Me How to PyCap: A High-Capacity Well Decision Support Tool Using Analytical Solutions in Python.

Michael N Fienen1, Aaron H Pruitt2, Howard W Reeves3

  • 1U.S. Geological Survey, Upper Midwest Water Science Center, Madison, Wisconsin.

Ground Water
|January 26, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

pycap-dss is a new Python package offering analytical solutions for streamflow depletion and drawdown assessments. It enables efficient cumulative impact analysis for regulatory decision-making in water resource management.

More Related Videos

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images
10:00

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

Published on: August 31, 2012

15.1K
Synthesis and Testing of Supported Pt-Cu Solid Solution Nanoparticle Catalysts for Propane Dehydrogenation
10:19

Synthesis and Testing of Supported Pt-Cu Solid Solution Nanoparticle Catalysts for Propane Dehydrogenation

Published on: July 18, 2017

12.5K

Related Experiment Videos

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.3K
An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images
10:00

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

Published on: August 31, 2012

15.1K
Synthesis and Testing of Supported Pt-Cu Solid Solution Nanoparticle Catalysts for Propane Dehydrogenation
10:19

Synthesis and Testing of Supported Pt-Cu Solid Solution Nanoparticle Catalysts for Propane Dehydrogenation

Published on: July 18, 2017

12.5K

Area of Science:

  • Hydrogeology
  • Environmental Science
  • Water Resource Management

Background:

  • Regulatory agencies require timely streamflow depletion and drawdown evaluations in humid temperate zones.
  • Traditional numerical models are often too complex and time-consuming for rapid regulatory decision-making.
  • Protecting aquatic ecosystems and existing water users necessitates efficient impact assessment tools.

Purpose of the Study:

  • Introduce pycap-dss, an open-source Python package for estimating streamflow depletion and drawdown.
  • Provide a tool that supports superposition of multiple wells and time-varying pumping for cumulative impact assessments.
  • Facilitate integration with regulatory workflows and enable uncertainty analysis.

Main Methods:

  • Implementation of a suite of analytical solutions for streamflow depletion and drawdown estimation.
  • Support for superposition of multiple wells and time-varying pumping scenarios.
  • Development of a modular and extensible software architecture with YAML-based configuration.
  • Integration of rigorous testing and continuous integration for reliability and development.
  • Main Results:

    • Demonstration of deterministic drawdown examples with multiple solutions.
    • Application to streamflow depletion with multiple wells in Wisconsin's Central Sands region.
    • Showcasing Monte Carlo analyses for evaluating uncertainty in streamflow depletion calculations from numerous wells.

    Conclusions:

    • pycap-dss offers a computationally efficient and reliable tool for regulatory streamflow depletion and drawdown assessments.
    • The package supports complex scenarios including multiple wells and time-varying pumping, crucial for cumulative impact analysis.
    • Its modular design and integration capabilities enhance its utility for water resource management and regulatory workflows.