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Modeling phosphorus concentrations in Irish rivers using land use, soil type, and soil phosphorus data
Karen Daly1, Paul Mills, Brian Coulter
1Johnstown Castle Research Centre, Wexford, Ireland. kdaly@johnstown.teagasc.ie
Journal of Environmental Quality
|April 5, 2002
Summary
Modeling diffuse phosphorus (P) loss from agriculture is key. Poorly drained soils with high P inputs increase P concentrations in rivers, indicating areas at risk for water quality management.
Area of Science:
- Environmental science
- Agricultural science
- Water quality management
Background:
- Diffuse phosphorus (P) loss from agricultural sources is a significant environmental concern.
- Effective management strategies require accurate modeling of P transport to surface waters.
- Understanding the interplay between land use, soil properties, and P concentrations is crucial.
Purpose of the Study:
- To develop an empirical model predicting flow-weighted phosphorus concentrations (MRP) in Irish river catchments.
- To identify key factors influencing diffuse P loss, including land use, soil type, and soil P levels.
- To delineate areas at national scale at risk of P loss.
Main Methods:
- Collected monitoring data of riverine P and stream flow from 35 Irish river catchments (1991-1994).
- Modeled MRP values using land use, soil type (weighted by P desorption), and soil test P data (weighted by field experiment results).
- Statistically clustered catchments into two populations (A and B) based on soil hydrology and analyzed P concentrations.
Main Results:
- Catchments with poorly drained soils (Cluster A) showed higher MRP concentrations (0.03-0.17 mg L(-1)) than those with well-drained soils (Cluster B, 0.01-0.7 mg L(-1)).
- Regression models explained 68% (Cluster A) and 62% (Cluster B) of MRP variation.
- Models highlighted the influence of high P input grassland and soil hydrology on P transport.
Conclusions:
- Soil type, specifically hydrology, and land management practices significantly impact diffuse phosphorus loss.
- The developed models, while moderately accurate, are valuable tools for identifying national-scale areas at risk.
- Further refinement of models can aid in targeted management strategies to mitigate agricultural P pollution.