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Indeterminate Forms and L’Hôpital’s Rule01:27

Indeterminate Forms and L’Hôpital’s Rule

Indeterminate forms occur when evaluating limits leads to expressions that cannot be directly interpreted, such as zero divided by zero or infinity divided by infinity. These results do not describe the true behavior of a function near a given point and instead signal that additional analysis is required. L’Hôpital’s Rule provides a reliable method for resolving such ambiguities by replacing the original functions with their derivatives.Core Idea of L’Hôpital’s RuleL’Hôpital’s Rule applies when...
Partial Differential Equations01:21

Partial Differential Equations

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Poisson's And Laplace's Equation01:25

Poisson's And Laplace's Equation

The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
Divergence and Stokes' Theorems01:06

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The divergence and Stokes' theorems are a variation of Green's theorem in a higher dimension. They are also a generalization of the fundamental theorem of calculus. The divergence theorem and Stokes' theorem are in a way similar to each other; The divergence theorem relates to the dot product of a vector, while Stokes' theorem relates to the curl of a vector. Many applications in physics and engineering make use of the divergence and Stokes' theorems, enabling us to write numerous physical laws...
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When multiple forces act on an object in two-dimensional space, the concept of the net moment can be used to understand the tendency of these forces to induce rotational motion about a fixed point. The scalar formulation of the resultant moment is a helpful tool in analyzing the equilibrium of structures subjected to multiple forces.
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Iterated Integrals and Fubini's Theorem01:28

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A double integral generalizes the concept of a single-variable integral to functions of two variables, enabling the computation of the volume beneath a surface z = f(x, y) over a planar region R . For a rectangular region defined by a ≤ x ≤ b and c ≤ y ≤ d, and for functions continuous on this domain, the double integral can be evaluated as an iterated integral. This approach simplifies computation by reducing the problem to successive integrations with respect to one variable at a...

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Related Experiment Video

Updated: Jul 10, 2026

Convergent Polishing: A Simple, Rapid, Full Aperture Polishing Process of High Quality Optical Flats & Spheres
13:07

Convergent Polishing: A Simple, Rapid, Full Aperture Polishing Process of High Quality Optical Flats & Spheres

Published on: December 1, 2014

Revisiting the Domenico plume formula through saddle-point asymptotics.

Kentaro Miyamoto1, Makoto Yasojima1, Hiroaki Takemori1

  • 1Shimadzu Techno-Research, Inc., 1 Nishinokyo Shimoaicho, Nakagyo-ku, Kyoto 604-8436, Japan.

Journal of Contaminant Hydrology
|July 8, 2026
PubMed
Summary

The Domenico plume formula, used for contaminant migration screening, is derived from a Green's function solution. This study clarifies its accuracy limits and provides corrections for better environmental risk assessment.

Keywords:
Advection–dispersionAsymptotic expansionDomenico solutionGroundwater

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Last Updated: Jul 10, 2026

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Published on: October 20, 2023

Area of Science:

  • Environmental Science
  • Hydrogeology
  • Geochemistry

Background:

  • The Domenico plume formula is a standard tool for screening contaminant migration from sources.
  • Its precise relationship with the reactive advection-dispersion equation has been unclear.
  • Understanding the formula's limitations is crucial for accurate environmental risk assessment.

Purpose of the Study:

  • To clarify the theoretical underpinnings of the Domenico plume formula.
  • To derive corrections to the Domenico formula based on the advection-dispersion equation.
  • To establish a framework for assessing the reliability of the Domenico formula.

Main Methods:

  • Derivation of a finite-time saddle-point expansion from the Green's function solution for a finite rectangular source.
  • Analysis of the large-distance expansion of the Green's function solution.
  • Identification of leading-order, next-to-leading-order (NLO), and next-next-to-leading-order (NNLO) terms.

Main Results:

  • The standard Domenico expression is identified as the far-field leading-order term.
  • Explicit NLO and NNLO corrections are derived, capturing transient and steady-state discrepancies.
  • A hierarchy explaining the emergence of the Domenico formula from the Green's function solution is established.

Conclusions:

  • The study provides a theoretical basis for the Domenico plume formula and its limitations.
  • Derived corrections enhance the accuracy of contaminant migration screening.
  • A validity map guides practitioners on when to use the formula versus numerical evaluation for defensible site decisions.