HR: 0800h
AN: H51D-0753    [Abstracts]
TI: Uncertainty Of Stream Nutrient Transport Estimates Using Random Sampling Of Storm Events From High Resolution Water Quality And Discharge Data
AU: * Scholefield, P A
EM: paul1@ceh.ac.uk
AF: Centre for Ecology and Hydrology, Library Avenue, Lancaster, LA1 4AP, United Kingdom
AU: Arnscheidt, J
EM: j.arnscheidt@ulster.ac.uk
AF: School of Environmental Sciences, University of Ulster, Coleraine, BT52 1SA, United Kingdom
AU: Jordan, P
EM: p.jordan@ulster.ac.uk
AF: School of Environmental Sciences, University of Ulster, Coleraine, BT52 1SA, United Kingdom
AU: Beven, K
EM: k.beven@lancaster.ac.uk
AF: Centre for Sustainable Water Management, Lancaster Environment Centre, Library Avenue, Lancaster, LA1 4AP, United Kingdom
AU: Heathwaite, L
EM: louise.heathwaite@lancaster.ac.uk
AF: Centre for Sustainable Water Management, Lancaster Environment Centre, Library Avenue, Lancaster, LA1 4AP, United Kingdom
AB: The uncertainties associated with stream nutrient transport estimates are frequently overlooked and the sampling strategy is rarely if ever investigated. Indeed, the impact of sampling strategy and estimation method on the bias and precision of stream phosphorus (P) transport calculations is little understood despite the use of such values in the calibration and testing of models of phosphorus transport. The objectives of this research were to investigate the variability and uncertainty in the estimates of total phosphorus transfers at an intensively monitored agricultural catchment. The Oona Water which is located in the Irish border region, is part of a long term monitoring program focusing on water quality. The Oona Water is a rural river catchment with grassland agriculture and scattered dwelling houses and has been monitored for total phosphorus (TP) at 10 min resolution for several years (Jordan et al, 2007). Concurrent sensitive measurements of discharge are also collected. The water quality and discharge data were provided at 1 hour resolution (averaged) and this meant that a robust estimate of the annual flow weighted concentration could be obtained by simple interpolation between points. A two-strata approach (Kronvang and Bruhn, 1996) was used to estimate flow weighted concentrations using randomly sampled storm events from the 400 identified within the time series and also base flow concentrations. Using a random stratified sampling approach for the selection of events, a series ranging from 10 through to the full 400 were used, each time generating a flow weighted mean using a load-discharge relationship identified through log-log regression and monte-carlo simulation. These values were then compared to the observed total phosphorus concentration for the catchment. Analysis of these results show the impact of sampling strategy, the inherent bias in any estimate of phosphorus concentrations and the uncertainty associated with such estimates. The estimates generated using the full time series underestimate the flow weighted mean concentration of total phosphorus. This work compliments other contemporary work in the area of load estimation uncertainty in the UK (Johnes, 2007). Johnes P,J. 2007, Uncertainties in annual riverine phosphorus load estimation: Impact of load estimation methodology, sampling frequency, baseflow index and catchment population density, Journal of hydrology 332 (1- 2): 241-258 Jordan, P., Arnscheidt, J., McGrogan, H & McCormick, S., 2007. Characterising phosphorus transfers in rural transfers using a continuous bank-side analyser. Hydrology and Earth System Science 11, 372-381 Kronvang B & Bruhn, A. J, 1996. Choice of sampling strategy and estimation method for calculating nitrogen and phosphorus transport in small lowland streams , Hydrological processes 10 (11): 1483-1501
DE: 1806 Chemistry of fresh water
DE: 1872 Time series analysis (3270, 4277, 4475)
DE: 1895 Instruments and techniques: monitoring
SC: Hydrology [H]
MN: 2007 Fall Meeting