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Integrating mineral-associated organic matter (MAOM) colloid characteristics into dissolved organic matter (DOM) representation in Earth system models


EMSL Project ID
60097

Abstract

We propose developing a workflow to generate colloids from operationally defined DOM solutions using aerosol-based techniques, then develop a spectroscopic/microscopic capability pipeline to correlate colloidal DOM characteristics - nature of organically-bound metals/minerals; total organic C, inorganic C, and N contents; pH and Eh - and soil mineralogy to OM composition by FT-ICR-MS analysis. Machine learning algorithms will be used to find relationships among the resulting complex data and parameters that can be ingested by Earth system models (ESMs). This project strengthens EMSL's goal of high-throughput OM and soil analysis to enable efficient ESM improvement through model-experiment integration.

Project Details

Start Date
2021-10-29
End Date
N/A
Status
Active

Team

Principal Investigator

Ravi Kukkadapu
Institution
Environmental Molecular Sciences Laboratory

Co-Investigator(s)

Nicholas Ward
Institution
Pacific Northwest National Laboratory

Xingyuan Chen
Institution
Pacific Northwest National Laboratory

Team Members

James Moran
Institution
Michigan State University

Madison Bowe
Institution
Pacific Northwest National Laboratory

Bing Li
Institution
Pacific Northwest National Laboratory

Katherine Muller
Institution
Pacific Northwest National Laboratory

Peter Regier
Institution
Pacific Northwest National Laboratory

Nicholas Huggett
Institution
Environmental Molecular Sciences Laboratory

Qian Zhao
Institution
Environmental Molecular Sciences Laboratory

Swarup China
Institution
Environmental Molecular Sciences Laboratory

Rosalie Chu
Institution
Environmental Molecular Sciences Laboratory

Libor Kovarik
Institution
Pacific Northwest National Laboratory

Mark Bowden
Institution
Pacific Northwest National Laboratory

Mark Engelhard
Institution
Environmental Molecular Sciences Laboratory