Nitrogen and phosphorus retention in surface waters: an inter-comparison of predictions by catchment models of different complexity

Hejzlar, Josef; Anthony, Stephen M.; Arheimer, Berit; Behrendt, Horst; Bouraoui, F.; Grizzetti, Bruna; Groenendijk, P.; Jeuken, Michel; Johnsson, Holger; Porto, A. Lo; Kronvang, Brian; Panagopoulos, Yiannis; Siderius, Christian; Silgram, M.; Venohr, Markus; Žaloudík, Jiří

doi:10.1039/b901207a

Cited by 60 publications

(70 citation statements)

References 18 publications

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“…Results are expressed as tonnes of P or N per year for total load, retention, total emissions, and emissions through each of the pathways. Full details on MONERIS can be found in Venohr et al (2009).…”

Section: The Moneris Modelmentioning

confidence: 99%

“…Our version differs from MONERIS only slightly in how in-stream nutrient retention is estimated, as discussed in the calibration section below. All other equations are as described in Venohr et al (2009). In the remainder of the paper when we refer to the model MONERIS, the calculations discussed have been made with the R version.…”

Section: The Moneris Modelmentioning

confidence: 99%

“…Retention accounts for the fact that modelled emissions from the catchment generally overestimate observed nutrient loads due to temporary storage or permanent losses of nutrients occurring in the river network and riparian areas (Behrendt et al, 2002, Alexander et al, 2000Howarth et al, 2002). Retention can be very high, especially in headwater catchments where low flows allow contact between the nutrients in transport and the biologically active streambed (Peterson et al, 2001;Martí et al, 2006;Hejzlar et al, 2009). Because retention processes are important in small catchments such as La Tordera (von Schiller et al, 2008), in this application we calibrated MONERIS for nutrient retention parameters.…”

Section: F Caille Et Al: Modelling Nitrogen and Phosphorus Loads Inmentioning

confidence: 99%

“…Because retention processes are important in small catchments such as La Tordera (von Schiller et al, 2008), in this application we calibrated MONERIS for nutrient retention parameters. Specifically, nutrient retention was modelled as a function of specific runoff (discharge divided by catchment area, l s −1 km −2 ) (Venohr et al, 2009), and the parameters α and β were calibrated independently for P and N according to the following equation:…”

Section: F Caille Et Al: Modelling Nitrogen and Phosphorus Loads Inmentioning

confidence: 99%

“…Among the large number of models available for assessing nutrient loads, MONERIS (MOdelling Nutrient Emissions in RIver Systems) is a steady-state, conceptual lumpedparameter model that has been widely used, especially in northern and central Europe, to estimate annual nitrogen (N) and phosphorus (P) loads Venohr et al, 2009). MONERIS provides estimates of emissions through different point and diffuse pathways, and estimates of retention in the stream network.…”

Section: Introductionmentioning

confidence: 99%

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Modelling nitrogen and phosphorus loads in a Mediterranean river catchment (La Tordera, NE Spain)

Caille¹,

Riera

Rosell-Melé³

2012

Hydrol. Earth Syst. Sci.

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Abstract. Human activities have resulted in increased nutrient levels in many rivers all over Europe. Sustainable management of river basins demands an assessment of the causes and consequences of human alteration of nutrient flows, together with an evaluation of management options. In the context of an integrated and interdisciplinary environmental assessment (IEA) of nutrient flows, we present and discuss the application of the nutrient emission model MONERIS (MOdelling Nutrient Emissions into River Systems) to the Catalan river basin, La Tordera (north-east Spain), for the period 1996-2002. After a successful calibration and verification process (Nash-Sutcliffe efficiencies E = 0.85 for phosphorus and E = 0.86 for nitrogen), the application of the model MONERIS proved to be useful in estimating nutrient loads. Crucial for model calibration, in-stream retention was estimated to be about 50 % of nutrient emissions on an annual basis. Through this process, we identified the importance of point sources for phosphorus emissions (about 94 % for 1996-2002), and diffuse sources, especially inputs via groundwater, for nitrogen emissions (about 31 % for 1996-2002). Despite hurdles related to model structure, observed loads, and input data encountered during the modelling process, MONERIS provided a good representation of the major interannual and spatial patterns in nutrient emissions. An analysis of the model uncertainty and sensitivity to input data indicates that the model MONERIS, even in datastarved Mediterranean catchments, may be profitably used by water managers for evaluating quantitative nutrient emission scenarios for the purpose of managing river basins. As an example of scenario modelling, an analysis of the changes in nutrient emissions through two different future scenarios allowed the identification of a set of relevant measures to reduce nutrient loads.

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Section: The Moneris Modelmentioning

confidence: 99%

Section: The Moneris Modelmentioning

confidence: 99%

Section: F Caille Et Al: Modelling Nitrogen and Phosphorus Loads Inmentioning

confidence: 99%

Section: F Caille Et Al: Modelling Nitrogen and Phosphorus Loads Inmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modelling nitrogen and phosphorus loads in a Mediterranean river catchment (La Tordera, NE Spain)

Caille¹,

Riera

Rosell-Melé³

2012

Hydrol. Earth Syst. Sci.

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show abstract

Development of an integrated modeling approach for identifying multilevel non-point-source priority management areas at the watershed scale

et al. 2014

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The identification of priority management areas (PMAs) at the large-basin scale is notably complex because of the random nature of watershed processes, which complicates the application of traditional deterministic PMAs. In this study, a multilevel PMA (ML-PMA) framework is designed as a new tool to pinpoint these sensitive areas, within a basin, that contribute the most to water quality deterioration. The main advantage of the ML-PMA framework is the wide availability of its supplementary tools and its complete framework, which integrates both watershed and river processes in addressing PMAs at the watershed scale. The watershed model, stream model, and a Markov chain approach are integrated to depict the dynamics of watershed processes and various water quality statutes. Based on the results of this study, the river migration process is vital for water quality degradation in the river network and significantly influenced the final PMA map. In addition, the proposed ML-PMA framework considers the impact of climatic conditions and hydrological properties and allows for a more cost-effective allocation of PMAs among different years. In the authors' view, the connectivity of PMAs in terms of flux distribution and propagation downstream on which the ML-PMA is based makes the ML-PMA framework particularly interesting for watershed non-point-source pollution control.

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Phosphorus Loadings to the World's Largest Lakes: Sources and Trends

Fink

Alcamo

Flörke

et al. 2018

Global Biogeochemical Cycles

116

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Eutrophication is a major water quality issue in lakes worldwide and is principally caused by the loadings of phosphorus from catchment areas. It follows that to develop strategies to mitigate eutrophication, we must have a good understanding of the amount, sources, and trends of phosphorus pollution. This paper provides the first consistent and harmonious estimates of current phosphorus loadings to the world's largest 100 lakes, along with the sources of these loadings and their trends. These estimates provide a perspective on the extent of lake eutrophication worldwide, as well as potential input to the evaluation and management of eutrophication in these lakes. We take a modeling approach and apply the WorldQual model for these estimates. The advantage of this approach is that it allows us to fill in large gaps in observational data. From the analysis, we find that about 66 of the 100 lakes are located in developing countries and their catchments have a much larger average phosphorus yield than the lake catchments in developed countries (11.1 versus 0.7 kg TP km−2 year−1). Second, the main source of phosphorus to the examined lakes is inorganic fertilizer (47% of total). Third, between 2005–2010 and 1990–1994, phosphorus pollution increased at 50 out of 100 lakes. Sixty percent of lakes with increasing pollution are in developing countries. P pollution changed primarily due to changing P fertilizer use. In conclusion, we show that the risk of P‐stimulated eutrophication is higher in developing countries.

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Nitrogen and phosphorus retention in surface waters: an inter-comparison of predictions by catchment models of different complexity

Cited by 60 publications

References 18 publications

Modelling nitrogen and phosphorus loads in a Mediterranean river catchment (La Tordera, NE Spain)

Modelling nitrogen and phosphorus loads in a Mediterranean river catchment (La Tordera, NE Spain)

Development of an integrated modeling approach for identifying multilevel non-point-source priority management areas at the watershed scale

Phosphorus Loadings to the World's Largest Lakes: Sources and Trends

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