Development of a pan-European River and Catchment Database

Vogt, Jürgen; Soille, Pierre; Colombo, R.; Paracchini, Maria Luisa; Jager, Alfred de

doi:10.1007/978-3-540-36731-4_6

Cited by 162 publications

(152 citation statements)

References 31 publications

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“…Even with these restrictions, the study area is one of the largest drainage basins in Europe, with an area of 160 000 km 2 covering land of eight countries, mainly from Switzerland, Germany, France and Luxembourg. The total length of the river network is 63 080 km and is divided into more than 30 000 catchments according to the CCM River and Catchment Database for Europe, version 2 (CCM2) from Vogt et al (2007). Altitude ranges from above 4200 m a.s.l.…”

Section: Study Areamentioning

confidence: 99%

Modelling biocide and herbicide concentrations in catchments of the Rhine basin

Möser

Wemyss

Scheidegger

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Impairment of water quality by organic micropollutants such as pesticides, pharmaceuticals or household chemicals is a problem in many catchments worldwide. These chemicals originate from different urban and agricultural usages and are transferred to surface waters from point or diffuse sources by a number of transport pathways. The quantification of this form of pollution in streams is challenging and especially demanding for diffuse pollution due to the high spatio-temporal concentration dynamics, which require large sampling and analytical efforts to obtain representative data on the actual water quality.Models can also be used to predict to what degree streams are affected by these pollutants. However, spatially distributed modelling of water quality is challenging for a number of reasons. Key issues are the lack of such models that incorporate both urban and agricultural sources of organic micropollutants, the large number of parameters to be estimated for many available water quality models, and the difficulty to transfer parameter estimates from calibration sites to areas where predictions are needed.To overcome these difficulties, we used the parsimonious iWaQa model that simulates herbicide transport from agricultural fields and diffuse biocide losses from urban areas (mainly façades and roof materials) and tested its predictive capabilities in the Rhine River basin. The model only requires between one and eight global model parameters per compound that need to be calibrated. Most of the data requirements relate to spatially distributed land use and comprehensive time series of precipitation, air temperature and spatial data on discharge. For larger catchments, routing was explicitly considered by coupling the iWaQa to the AQUASIM model.The model was calibrated with datasets from three different small catchments (0.5-24.6 km 2 ) for three agricultural herbicides (isoproturon, S-metolachlor, terbuthylazine) and two urban biocides (carbendazim, diuron). Subsequently, it was validated for herbicides and biocides in Switzerland for different years on 12 catchments of much larger size (31-35 899 km 2 ) and for herbicides for the entire Rhine basin upstream of the Dutch-German border (160 000 km 2 ) without any modification. For most compound-catchment combinations, the model predictions revealed a satisfactory correlation (median r 2 : 0.5) with the observations. The peak concentrations were mostly predicted within a factor of 2 to 4 (median: 2.1 fold difference for herbicides and 3.2 for biocides respectively). The seasonality of the peak concentration was also well simulated; the predictions of the actual timing of peak concentrations, however, was generally poor.Limited spatio-temporal data, first on the use of the selected pesticides and second on their concentrations in the river network, restrict the possibilities to scrutinize model performance. Nevertheless, the results strongly suggest that input data and model structure are major sources of predictive uncertainty. The latter is for exampl...

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Section: Study Areamentioning

confidence: 99%

Modelling biocide and herbicide concentrations in catchments of the Rhine basin

Möser

Wemyss

Scheidegger

et al. 2018

Hydrol. Earth Syst. Sci.

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“…From the European watershed polygons obtained from River and Catchment database (Catchment Characterisation and Modelling -CCM -version 2.1., Vogt et al, 2007) it was possible to calculate some catchment areas not found in literature using ArcGis software.…”

Section: Descriptors Of Watershed Properties and Coastal Characteristicsmentioning

confidence: 99%

Fish under influence: A macroecological analysis of relations between fish species richness and environmental gradients among European tidal estuaries

Nicolas

Lobry

Lepage

et al. 2010

Estuarine, Coastal and Shelf Science

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Estuarine fish assemblages are subject to a great environmental variability that largely depends on both upstream fluvial and downstream marine influences. From this ecohydrological view, our study introduces a macroecological approach aiming to identify the main environmental factors that structure fish assemblages among European tidal estuaries.The present paper focuses on the influence of large scale environmental gradients on estuarine fish species richness. The environment of 135 North-eastern Atlantic estuaries from Portugal to Scotland was characterized by various descriptors especially related to hydromorphology.Major environmental trends among estuaries were underlined using multivariate techniques and cluster analyses applied to abiotic data. In particular, an integrative system size covariate was derived from a principal component analysis. Factors explaining patterns of species richness at different scales from local habitat to regional features were highlighted. Based on generalised linear models, the estuarine system size, and more particularly the entrance width, and also the continental shelf width were identified as the best explanatory variables of estuarine fish species richness at a large scale. Our approach provides a standardized method to estimate the relationship between fish assemblages and environmental factors. This constitutes a first step in assessing estuarine ecological status and studying the effects of additional factors such as anthropogenic disturbances.

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“…(Ntegeka et al 2013 & Digital elevation model data based on SRTM, channel network data based on Hydroshed (Lehner et al 2006) and The Pan-European River and Catchment Database (Vogt et al 2007). …”

Section: Available Datamentioning

confidence: 99%

Towards a Pan-European Integrated Groundwater and Surface Water Model: Development and Applications

et al. 2017

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During the last years, we have developed a model, which is able to simulate hydrological processes at a Pan-European scale. The model has multiple possible uses, including flood forecasting, identification of groundwater recharge / discharge zones and large-scale water resources management. The integrated model is based on the LISFLOOD model, which simulates hydrological processes with a focus on snow and soil hydrology and streamflow routing. The area of interest is the full European continent, divided in 5 × 5 km cells. A conceptual 2D MODFLOW model was linked to improve groundwater simulation. With this coupling, it is now possible to simulate the water exchanges between adjacent cells, and between groundwater and river. Available meteorological data from 1-1-1990 to 31-10-2014 were used as input for the coupled model, together with values of aquifer properties derived from literature. We used observed data of recharge, discharge and hydraulic heads from the Danube river basin to check if the model results correspond to reality. The results show a reasonably high degree of agreement between observed and simulated data, taking into account the limitations of large scale modelling. This model is the first step to improve integrated groundwater and surface water modelling which includes the collection of data and the production of Pan-European groundwater parameter maps.

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Development of a pan-European River and Catchment Database

Cited by 162 publications

References 31 publications

Modelling biocide and herbicide concentrations in catchments of the Rhine basin

Modelling biocide and herbicide concentrations in catchments of the Rhine basin

Fish under influence: A macroecological analysis of relations between fish species richness and environmental gradients among European tidal estuaries

Towards a Pan-European Integrated Groundwater and Surface Water Model: Development and Applications

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