UK Shelterbelt Ammonia Recapture Model Predictions Over 50 Years

Ten years of averaged UK meteorological data underpins modelled ammonia recapture predictions for shelterbelt trees. The dataset, produced by the NERC-funded MUDMAT project, forecasts recapture at 5, 15, 25, and 50 years after planting for various tree species and heights.

Use Cases

• Analyze ammonia recapture predictions across different tree species and heights to identify optimal planting strategies.
• Model the impact of seasonal meteorological data on ammonia dispersion and deposition over a 50-year forecast horizon.
• Compare recapture outcomes for the years 5, 15, 25, and 50 after planting to assess long-term mitigation effectiveness.

Strengths

• Predictions span a 50-year forecast horizon, providing long-term environmental impact modeling.
• Model coupling integrates OpenFOAM and MODDAS-2D for detailed atmospheric dispersion simulation.
• Analysis incorporates ten years of averaged meteorological data across different seasons.

Limitations

• Contains modelled predictions, not direct empirical measurements, which may differ from real-world outcomes.
• Geographic scope is limited to the UK, limiting generalizability to other regions.
• Specific sample size, row count, and underlying data granularity are unknown.

Provenance

Source

Environmental Information Data Centre

Collection Method

Generated by coupling the OpenFOAM and MODDAS-2D atmospheric dispersion models.

Time Range

Predictions for years 5, 15, 25, and 50 after planting, based on ten years of averaged meteorological data.

Freshness

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Geography

United Kingdom