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Author Spotlight: Unraveling the Role of Earthworms in Enhancing Mineral Weathering for CO2 Removal

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A generic approach to construct pseudo components for oil weathering models.

Xiaolong Geng¹, Christopher H Barker², Amy MacFadyen²

¹Department of Earth Sciences, University of Hawai'i at Mānoa, Honolulu, HI 96822, USA; Water Resources Research Center, University of Hawai'i at Mānoa, Honolulu, HI 96822, USA.

Journal of Hazardous Materials

|August 10, 2023

Summary

A new generic approach optimizes pseudo components (PCs) for oil weathering models, using distillation data to accurately predict oil behavior. This method establishes an optimal set of sixteen PCs for diverse oil types.

Keywords:

ADIOS oil database GNOME Numerical modeling Oil evaporative weathering Pseudo components

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Experimental Protocol to Investigate Particle Aerosolization of a Product Under Abrasion and Under Environmental Weathering

Experimental Protocol to Investigate Particle Aerosolization of a Product Under Abrasion and Under Environmental Weathering

Published on: September 16, 2016

Area of Science:

Environmental Science
Chemical Engineering
Petroleum Science

Background:

Oil weathering models are crucial for predicting spilled oil behavior.
Current models often use a Pseudo Component (PC) approach, but lack a generic method for diverse oils.
Previous research focused on traditional crude oils, not a wide range of petroleum products.

Purpose of the Study:

To develop a generic approach for constructing Pseudo Components (PCs) for oil weathering models.
To create an optimal set of PCs applicable to a variety of oils, not just crude oils.
To improve the accuracy of oil weathering predictions by capturing evaporative complexity.

Main Methods:

Developed a generic approach to construct PCs using oil distillation data.
Validated the method using 899 oils from the Automated Data Inquiry for Oil Spills (ADIOS) library.
Determined an optimal set of sixteen PCs with specific boiling point ranges.

Main Results:

An optimal set of sixteen PCs was identified for characterizing oil evaporative weathering.
These PCs include two low-boiling, one high-boiling, and thirteen mid-range components.
The proposed set of PCs adequately represents evaporative processes across a wide spectrum of oils.

Conclusions:

The generic PC construction approach enhances oil weathering model accuracy.
The optimized sixteen-PC set provides a robust representation for diverse oil types.
This methodology improves environmental spill response and prediction capabilities.