A UAV-Based System for Validating a Backward Lagrangian Stochastic Model in a Dairy Cattle Farm
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View abstract on PubMed
Summary
This summary is machine-generated.This study measured carbon dioxide (CO2) emissions from dairy cattle compost-bedded pack barns using a drone-based system. The findings validate atmospheric models for improved greenhouse gas emission assessments in livestock farming.
Area Of Science
- Environmental Science
- Agricultural Engineering
- Atmospheric Chemistry
Background
- Compost-bedded pack barns are significant sources of greenhouse gas emissions.
- Accurate measurement of CO2 fluxes from these barns is crucial for environmental management.
- Existing atmospheric models require validation for livestock environments.
Purpose Of The Study
- To characterize CO2 emissions from a dairy cattle compost-bedded pack barn.
- To validate the bLS (Building Large Eddy Simulation) model using a UAV-based system.
- To assess the performance of a novel multi-sensor platform (MSP) for environmental monitoring.
Main Methods
- Emission fluxes were calculated using the bLS model (WindTrax).
- CO2 concentrations were measured at 5.0 m and 10.0 m above ground level (ABGL) by a UAV-based system equipped with an NDIR sensor.
- Ground-based sensors provided input data upwind and downwind of the emission source.
Main Results
- The study validated bLS model concentrations against UAV-measured data at two altitudes.
- Sensitivity analysis showed differences in calculated emission fluxes under stable and unstable atmospheric conditions.
- The UAV-based system demonstrated effectiveness in measuring CO2 concentrations for model validation.
Conclusions
- This research provides the first validation of bLS model concentrations at multiple altitudes using a UAV-based system for compost-bedded pack barns.
- The findings highlight the potential for UAVs to improve the accuracy of greenhouse gas emission estimations from agricultural sources.
- Accurate emission data is essential for developing effective mitigation strategies in dairy farming.
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