2011
DOI: 10.1002/iroh.201111331
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Modelling of Nutrient Emissions in River Systems – MONERIS – Methods and Background

Abstract: MONERIS is a semi-empirical, conceptual model, which has gained international acceptance as a robust meso-to macro scale model for nutrient emissions. MONERIS is used to calculate nitrogen (N) and phosphorus (P) emissions into surface waters, in-stream retention, and resulting loads, on a river catchment scale. This paper provides the first (i) comprehensive overview of the model structure (both the original elements and the new additions), (ii) depiction of the algorithms used for all pathways, and for retent… Show more

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Cited by 84 publications
(65 citation statements)
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“…On the right side, an attribute window (top) and a structure window (bottom) are arranged, which show additional information about the record selected in the data grid. This includes access to related documents, for example, with graphical documentation of the calculation approaches (flowcharts) and R scripts for The empirical calculation approaches used in MoRE largely originate from the model MONERIS 2.01 [4][5][6] (MOdelling Nutrient Emissions in RIver Systems). Therefore, both models are related to one another, although they have been developed independently since 2009.…”
Section: Technical Backgroundmentioning
confidence: 99%
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“…On the right side, an attribute window (top) and a structure window (bottom) are arranged, which show additional information about the record selected in the data grid. This includes access to related documents, for example, with graphical documentation of the calculation approaches (flowcharts) and R scripts for The empirical calculation approaches used in MoRE largely originate from the model MONERIS 2.01 [4][5][6] (MOdelling Nutrient Emissions in RIver Systems). Therefore, both models are related to one another, although they have been developed independently since 2009.…”
Section: Technical Backgroundmentioning
confidence: 99%
“…MoRE is used to calculate regionalized emissions considering different pollutant sources and emission pathways. Such approaches are considered a good compromise between detailed, process-based models and the application of simple balancing approaches [5]. Compared to more physically based models such as SWAT [7] and AGNPS [8], they have lower input data demands.…”
Section: Technical Backgroundmentioning
confidence: 99%
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“…Some of the tools have been improved or extended to predict nutrient level at a monthly or, daily time scale, such as, modelling tool E2 (Perraud et al 2005) and Water and Contaminant Analysis and Simulation Tools (WaterCAST) (Cook et al 2009). Similar conceptual models were developed for European catchments such as Modelling Nutrient Emissions in River Systems (MONERIS) (Venohr et al 2011). Such models are comparatively simple to build (Tzoraki et al 2014).…”
mentioning
confidence: 99%