Literature DB >> 19704139

Diffuse phosphorus models in the United States and europe: their usages, scales, and uncertainties.

D E Radcliffe1, Jim Freer, Oscar Schoumans.   

Abstract

Today there are many well-established computer models that are being used at different spatial and temporal scales to describe water, sediment, and P transport from diffuse sources. In this review, we describe how diffuse P models are commonly being used in the United States and Europe, the challenge presented by different temporal and spatial scales, and the uncertainty in model predictions. In the United States, for water bodies that do not meet water quality standards, a total maximum daily load (TMDL) of the pollutant of concern must be set that will restore water quality and a plan implemented to reduce the pollutant load to meet the TMDL. Models are used to estimate the current maximum daily and annual average load, to estimate the contribution from different nonpoint sources, and to develop scenarios for achieving the TMDL target. In Europe, the EC-Water Framework Directive is the driving force to improve water quality and models are playing a similar role to that in the United States, but the models being used are not the same. European models are more likely to take into account leaching of P and the identification of critical source areas. Scaling up to the watershed scale has led to overparameterized models that cannot be used to test hypotheses regarding nonpoint sources of P or transport processes using the monitoring data that is typically available. There is a need for more parsimonious models and monitoring data that takes advantage of the technological improvements that allow nearly continuous sampling for P and sediment. Tools for measuring model uncertainty must become an integral part of models and be readily available for model users.

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Year:  2009        PMID: 19704139     DOI: 10.2134/jeq2008.0060

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  1 in total

1.  Developing a non-point source P loss indicator in R and its parameter uncertainty assessment using GLUE: a case study in northern China.

Authors:  Jingjun Su; Xinzhong Du; Xuyong Li
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-16       Impact factor: 4.223

  1 in total

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