Title
Applicability of models to predict phosphorus losses in drained fields: A review
Date Issued
01 January 2015
Access level
metadata only access
Resource Type
journal article
Author(s)
Radcliffe D.E.
Keith Reid D.
Blombäck K.
Bolster C.H.
Collick A.S.
Easton Z.M.
Fuka D.R.
Johnsson H.
King K.
Larsbo M.
Youssef M.A.
Mulkey A.S.
Nelson N.O.
Persson K.
Ramirez-Avila J.J.
Schmieder F.
Smith D.R.
National Soil Erosion Research Laboratory
Publisher(s)
John Wiley & Sons
Abstract
Most phosphorus (P) modeling studies of water quality have focused on surface runoff loses. However, a growing number of experimental studies have shown that P losses can occur in drainage water from artificially drained fields. In this review, we assess the applicability of nine models to predict this type of P loss. A model of P movement in artificially drained systems will likely need to account for the partitioning of water and P into runoff, macropore flow, and matrix flow. Within the soil profile, sorption and desorption of dissolved P and filtering of particulate P will be important. Eight models are reviewed (ADAPT, APEX, DRAINMOD, HSPF, HYDRUS, ICECREAMDB, PLEASE, and SWAT) along with P Indexes. Few of the models are designed to address P loss in drainage waters. Although the SWAT model has been used extensively for modeling P loss in runoff and includes tile drain flow, P losses are not simulated in tile drain flow. ADAPT, HSPF, and most P Indexes do not simulate flow to tiles or drains. DRAINMOD simulates drains but does not simulate P. The ICECREAMDB model from Sweden is an exception in that it is designed specifically for P losses in drainage water. This model seems to be a promising, parsimonious approach in simulating critical processes, but it needs to be tested. Field experiments using a nested, paired research design are needed to improve P models for artificially drained fields. Regardless of the model used, it is imperative that uncertainty in model predictions be assessed.
Start page
614
End page
628
Volume
44
Issue
2
Language
English
OCDE Knowledge area
Ciencias agrícolas
Scopus EID
2-s2.0-84925442091
Source
Journal of Environmental Quality
ISSN of the container
00472425
Sponsor(s)
National Science Foundation 1343802 NSF
Sources of information: Directorio de Producción Científica Scopus