A Data-Driven Approach to the Evening Dust Peak: Decoupling Meteorological Condition and Emission Dynamics in Feedlots

This poster investigates the previously poorly understood meteorological drivers behind the Evening Dust Peak (EDP) in cattle feedlots , a phenomenon potentially linked to costly bovine respiratory disease. By analyzing a continuous monitoring dataset spanning from 2011 to 2019 , the study decouples the effects of feedlot surface moisture and atmospheric stability on dust emissions. The findings reveal that the EDP is a major emission source, contributing up to 69% of daily $PM_{10}$ mass emissions, with peak severity consistently occurring during the summer and fall seasons. Furthermore, the research demonstrates that a Hot-Dry-Windy (HDW) index explains up to 43% of the EDP's variance through its influence on feedlot surface moisture , while atmospheric stability functions as a threshold gate for dust concentrations rather than directly determining the magnitude of the peak.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-06
DOI
https://doi.org/10.5281/zenodo.19440726
Primary Topic
Effects of Environmental Stressors on Livestock
Type
article
Field-Weighted Citation Impact
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article

A Data-Driven Approach to the Evening Dust Peak: Decoupling Meteorological Condition and Emission Dynamics in Feedlots

Brent W. Auvermann, Sirapoom Peanusaha, Guillermo S Marcillo
Zenodo (CERN European Organization for Nuclear Research)
Effects of Environmental Stressors on Livestock
article

A Data-Driven Approach to the Evening Dust Peak: Decoupling Meteorological Condition and Emission Dynamics in Feedlots

Brent W. Auvermann, Sirapoom Peanusaha, Guillermo S Marcillo
article en

Abstract

This poster investigates the previously poorly understood meteorological drivers behind the Evening Dust Peak (EDP) in cattle feedlots , a phenomenon potentially linked to costly bovine respiratory disease. By analyzing a continuous monitoring dataset spanning from 2011 to 2019 , the study decouples the effects of feedlot surface moisture and atmospheric stability on dust emissions. The findings reveal that the EDP is a major emission source, contributing up to 69% of daily $PM_{10}$ mass emissions, with peak severity consistently occurring during the summer and fall seasons. Furthermore, the research demonstrates that a Hot-Dry-Windy (HDW) index explains up to 43% of the EDP's variance through its influence on feedlot surface moisture , while atmospheric stability functions as a threshold gate for dust concentrations rather than directly determining the magnitude of the peak.

Zenodo (CERN European Organization for Nuclear Research)
West Texas A&M University (US)
Openalex Percentile: Top 22%
Effects of Environmental Stressors on Livestock
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A Data-Driven Approach to the Evening Dust Peak: Decoupling Meteorological Condition and Emission Dynamics in Feedlots — Brent W. Auvermann, Sirapoom Peanusaha, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS