Marine Pollution Dispersion Simulation Using Numerical Tracers

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Solution Overview

Problem

Conventional marine pollution dispersion modeling systems face challenges with numerical diffusion problems and the practical difficulty of constructing fine grids to accurately represent pollution source concentrations, especially when simulating long-term continuous pollution discharges, which require high-performance computers and large memory resources.

Innovation Solution

A system and method using a numerical tracer technique that simulates marine pollution dispersion by discharging numerical tracers instead of physical tracers, employing the Quick Dispersion (Q-DISP) model with the Monte Carlo method to reduce computational volume and load, allowing for faster and more accurate simulations of suspended sediments and COD dispersion, even for long-term continuous discharges.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional finite difference method is used for marine pollution dispersion modeling, then numerical diffusion problem occurs and fine grid construction becomes difficult, but if numerical tracer technique is used, then measurement precision improves but computational load increases requiring high-performance computers

Engineering Contradiction:
Improvepollutant concentration measurement precisionVSAvoidcomputational power requirement
Core Design Contradiction:
Measurement precisionVSPower

Solution Approach 1:

The patent segments the continuous pollution source into multiple discrete virtual point sources distributed across the source region. Each virtual point source independently releases tracer particles, and their combined effects reconstruct the overall pollution dispersion pattern. This segmentation enables accurate representation of source concentration distribution without requiring fine grids while reducing computational burden compared to tracking every continuous element.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent creates virtual copies (numerical tracers) of the physical pollution source to simulate pollutant dispersion. These numerical tracers are released from virtual point sources and track the dispersion pathway, allowing accurate measurement of pollutant concentration without physically constructing fine grids or using excessive computational resources.

Inventive Principle:
Principle #26Copying

2Productivity

If numerical tracer technique with Monte Carlo method is used, then simulation speed improves and computational volume reduces, but accuracy in representing continuous long-term discharge may be compromised

Engineering Contradiction:
Improvesimulation speedVSAvoidaccuracy of long-term continuous discharge simulation
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent performs preliminary calculation of the diffusion coefficient before the main simulation process. By pre-computing this key parameter based on turbulence characteristics and flow conditions, the system accelerates the subsequent Monte Carlo simulation of tracer particle dispersion while maintaining accuracy in representing continuous long-term discharge patterns.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent simulates continuous long-term pollution discharge by releasing numerical tracers in periodic intervals from virtual point sources. This periodic release pattern accurately represents continuous discharge conditions while enabling efficient computation through time-discretized simulation steps, balancing simulation speed with reliability.

Inventive Principle:
Principle #19Periodic action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables efficient and accurate simulation of marine pollution dispersion for long-term continuous discharges by reducing computational requirements, overcoming the limitations of conventional methods that demand high-performance computers and large memory, while maintaining accuracy in modeling pollutant concentration and dispersion.

Implementation Method 1

employing the Quick Dispersion (Q-DISP) model with the Monte Carlo method to reduce computational volume and load

Methodology Applied
Scientific EffectMonte Carlo method:

Implementation Method 2

pollutants flowing into the ocean are advectively moved along the flow of tidal currents and ocean currents

Methodology Applied
Scientific EffectAdvection: Advection

Implementation Method 3

an eddy dispersion occurs simultaneously due to turbulent flows of seawater

Methodology Applied
Scientific EffectTurbulence: Turbulence

Implementation Method 4

suspended sediments are also treated as non-conservative pollutants because suspended sediments gravitate to the bottom over time

Methodology Applied
Scientific EffectGravitation: Gravitation

Data Source

PatentUS20240363201A1System and method for simulation of marine pollution dispersion using numerical tracer technique
Publication Date: 2024.10.31 KOREA INSTITUTE OF OCEAN SCIENCE & TECHNOLOGY
  • US20240363201A1 patent drawing
  • US20240363201A1 patent drawing
  • US20240363201A1 patent drawing

AI summary

Proposed is a system and method for simulations of marine pollution dispersion using a numerical tracer technique, wherein modeling is faster than conventional diffusion modeling methods by reducing computational volume and load and thereby a simulation of marine pollution dispersion with respect to the long-term continuous discharge may be performed through the numerical tracer technique by configuring to simulate the marine dispersion of suspended sediments (SS) and COD using the Quick Dispersion (Q-DISP) model, which is a diffusion model using the Monte Carlo method, in order to solve the problems of conventional marine pollution dispersion modeling systems and methods using numerical tracer techniques which have the disadvantage of requiring a high-performance computer and a large amount of memory due to the increased computation.