Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 400464
Title Improving load estimates for NO3 and P in surface waters by characterizing the concentration response to rainfall events
Author(s) Rozemeijer, J.C.; Velde, Y. van der; Geer, F.C. van; Rooij, G.H. de; Torfs, P.J.J.F.; Broers, H.P.
Source Environmental Science and Technology 44 (2010)16. - ISSN 0013-936X - p. 6305 - 6312.
Department(s) Soil Physics, Ecohydrology and Groundwater Management
Hydrology and Quantitative Water Management
Publication type Refereed Article in a scientific journal
Publication year 2010
Keyword(s) field-scale - land-use - phosphorus - catchments - dynamics - management - separation - frequency - transport - nutrient
Abstract For the evaluation of action programs to reduce surface water pollution, water authorities invest heavily in water quality monitoring. However, sampling frequencies are generally insufficient to capture the dynamical behavior of solute concentrations. For this study, we used on-site equipment that performed semicontinuous (15 min interval) NO3 and P concentration measurements from June 2007 to July 2008. We recorded the concentration responses to rainfall events with a wide range in antecedent conditions and rainfall durations and intensities. Through sequential linear multiple regression analysis, we successfully related the NO3 and P event responses to high-frequency records of precipitation, discharge, and groundwater levels. We applied the regression models to reconstruct concentration patterns between low-frequency water quality measurements. This new approach significantly improved load estimates from a 20% to a 1% bias for NO3 and from a 63% to a 5% bias for P. These results demonstrate the value of commonly available precipitation, discharge, and groundwater level data for the interpretation of water quality measurements. Improving load estimates from low-frequency concentration data just requires a period of high-frequency concentration measurements and a conceptual, statistical, or physical model for relating the rainfall event response of solute concentrations to quantitative hydrological changes
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