Journal ArticleDOI
The value of high-resolution nutrient monitoring: A case study of the River Frome, Dorset, UK
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TLDR
The River Frome was sampled at sub-daily sampling interval, with additional storm sampling, through an annual cycle as discussed by the authors, where samples were analyzed for total phosphorus (TP), soluble reactive phosphorus (SRP), total oxidisable nitrogen (TON) and dissolved reactive silicon (Si).About:
This article is published in Journal of Hydrology.The article was published on 2009-11-15. It has received 114 citations till now. The article focuses on the topics: Sampling (statistics) & Eutrophication.read more
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Journal ArticleDOI
Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality
Abstract: This review and commentary sets out the need for authoritative and concise information on the expected error distributions and magnitudes in observational data We discuss the necessary components of a benchmark of dominant data uncertainties and the recent developments in hydrology which increase the need for such guidance We initiate the creation of a catalogue of accessible information on characteristics of data uncertainty for the key hydrological variables of rainfall, river discharge and water quality (suspended solids, phosphorus and nitrogen) This includes demonstration of how uncertainties can be quantified, summarizing current knowledge and the standard quantitative results available In particular, synthesis of results from multiple studies allows conclusions to be drawn on factors which control the magnitude of data uncertainty and hence improves provision of prior guidance on those uncertainties Rainfall uncertainties were found to be driven by spatial scale, whereas river discharge uncertainty was dominated by flow condition and gauging method Water quality variables presented a more complex picture with many component errors For all variables, it was easy to find examples where relative error magnitudes exceeded 40% We consider how data uncertainties impact on the interpretation of catchment dynamics, model regionalization and model evaluation In closing the review, we make recommendations for future research priorities in quantifying data uncertainty and highlight the need for an improved ‘culture of engagement’ with observational uncertainties Copyright © 2012 John Wiley & Sons, Ltd
Journal ArticleDOI
Effects of land cover, topography, and built structure on seasonal water quality at multiple spatial scales
Bethany Pratt,Heejun Chang +1 more
TL;DR: In the multiple regression models, sectioned watershed results were consistently better than the sectioned buffer results, except for dry season pH and stream temperature parameters, which suggests that while riparian land cover does have an effect on water quality, a wider contributing area needs to be included in order to account for distant sources of pollutants.
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Using hysteresis analysis of high-resolution water quality monitoring data, including uncertainty, to infer controls on nutrient and sediment transfer in catchments
TL;DR: This paper provides one of the first examples of a study which comprehensively examines storm behaviours for up to 76 storm events and three water quality parameters and examines the observational uncertainties using a non-parametric approach.
Journal ArticleDOI
Characterising phosphorus and nitrate inputs to a rural river using high-frequency concentration-flow relationships
Michael J. Bowes,Helen P. Jarvie,S. J. Halliday,Richard Skeffington,Andrew J. Wade,M. Loewenthal,E. Gozzard,Jonathan Newman,Elizabeth J. Palmer-Felgate +8 more
TL;DR: The simultaneous investigation of high-frequency time series data, concentration-flow relationships and hysteresis behaviour through multiple storms for both phosphorus and nitrate offers a simple and innovative approach for providing new insights into nutrient sources and dynamics.
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Universal fractal scaling in stream chemistry and its implications for solute transport and water quality trend detection
James W. Kirchner,Colin Neal +1 more
TL;DR: In the solute time series, statistically significant trends arise much more frequently, on all time scales, than one would expect from conventional t statistics, however, these same trends are poor predictors of future trends—much poorer than oneWould expect from their calculated uncertainties.
References
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Journal ArticleDOI
A modified single solution method for the determination of phosphate in natural waters
J. Murphy,J.P. Riley +1 more
TL;DR: In this article, a single solution reagent was described for the determination of phosphorus in sea water, which consists of an acidified solution of ammonium molybdate containing ascorbic acid and a small amount of antimony.
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Sewage-effluent phosphorus: a greater risk to river eutrophication than agricultural phosphorus?
TL;DR: It is demonstrated that an important starting point for reducing phosphorus concentrations to the levels approaching those required for ecological improvement, is to obtain better control over point source inputs, particularly small point sources discharging to ecologically sensitive rural/agricultural tributaries.
Journal ArticleDOI
The fine structure of water‐quality dynamics: the (high‐frequency) wave of the future
TL;DR: Kirchner et al. as mentioned in this paper argue that catchment hydrochemistry is on the verge of a major new advance, driven by automated, online continuous analysis for many chemical constituents in natural waters.
Journal ArticleDOI
Uncertainties in annual riverine phosphorus load estimation: Impact of load estimation methodology, sampling frequency, baseflow index and catchment population density
TL;DR: In this article, the authors used the daily paired instantaneous P and flow data for 17 UK research catchments covering a total of 39 water years (WY) to explore the nature and extent of the observational error associated with nutrient flux estimates based on partial fractions and infrequent sampling.
Related Papers (5)
Uncertainties in annual riverine phosphorus load estimation: Impact of load estimation methodology, sampling frequency, baseflow index and catchment population density
Limitations of instantaneous water quality sampling in surface-water catchments: Comparison with near-continuous phosphorus time-series data
Rachel Cassidy,Philip Jordan +1 more