LOSS OF DISSOLVED AND PARTICULATE PHOSPHORUS FROM ARABLE CATCHMENTS BY SUBSURFACE DRAINAGE

Citation
R. Grant et al., LOSS OF DISSOLVED AND PARTICULATE PHOSPHORUS FROM ARABLE CATCHMENTS BY SUBSURFACE DRAINAGE, Water research, 30(11), 1996, pp. 2633-2642
Citations number
35
Categorie Soggetti
Engineering, Civil","Environmental Sciences","Water Resources
Journal title
ISSN journal
00431354
Volume
30
Issue
11
Year of publication
1996
Pages
2633 - 2642
Database
ISI
SICI code
0043-1354(1996)30:11<2633:LODAPP>2.0.ZU;2-U
Abstract
Drainage water loss of dissolved phosphorus (DP) and particulate phosp horus (PP) from four artificially drained, loamy soil, arable catchmen ts was studied over a 1-yr period comparing intensive (hourly samples pooled weekly) and discrete (weekly) sampling strategies. Annual total phosphorus (TP) loss determined by intensive sampling averaged 0.241 kg P ha(-1) yr(-1), and was particularly high (0.627 kg P ha(-1) yr(-1 )) at a catchment partly comprised of low-lying riparian areas used fo r grazing, where animal manure input was consequently high. At the oth er three catchments annual loss was lower (0.071-0.169 kg P ha(-1) yr( -1)). The major part of TP loss was accounted for by DP in the case of the catchment with the highest loss (71%), but by PP at the other thr ee catchments (55-71%). Annual loss of PP ranged from 0.043-0.182 kg P ha(-1) yr(-1), being episodic and mainly occurring during storm event s. Significant linear relationships were established between the conce ntrations of PP and particulate matter. Evidence was found indicating exhaustion of fine particulate matter availability during storm events , either in the soil macropores or in the drain pipe itself. As compar ed with intensive sampling, the discrete sampling strategy normally us ed for monitoring purposes underestimated P loss by more than 50% beca use most P loss occurred during storm events. It is therefore conclude d that reliable estimates of P losses from artificially drained catchm ents can only be obtained using a sampling strategy that incorporates intensive sampling during storm events. Copyright (C) 1996 Elsevier Sc ience Ltd