Societal, land cover and climatic controls on river nutrient flows into the Baltic Sea

Saaltink, Rémon; Velde, Ype van der; Dekker, Stefan C.; Lyon, Steve W.; Dahlke, H. E.

doi:10.1016/j.ejrh.2014.06.001

Cited by 16 publications

(13 citation statements)

References 34 publications

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“…For temperature, a similar picture arises as for precipitation: 96 % of all catchments show a warming trend on the annual timescale, and none show a cooling trend (see also Saaltink et al, 2014). For the seasonal timescales, these percentages are 23 % (winter) and 73 % (summer).…”

Section: Temperaturementioning

confidence: 72%

Streamflow recession patterns can help unravel the role of climate and humans in landscape co-evolution

Bogaart

Velde²,

Lyon

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. Traditionally, long-term predictions of river discharges and their extremes include constant relationships between landscape properties and model parameters. However, due to the co-evolution of many landscape properties more sophisticated methods are necessary to quantify future landscape-hydrological model relationships. As a first step towards such an approach we use the Brutsaert and Nieber (1977) analysis method to characterize streamflow recession behaviour of ≈ 200 Swedish catchments within the context of global change and landscape co-evolution. Results suggest that the Brutsaert-Nieber parameters are strongly linked to the climate, soil, land use, and their interdependencies. Many catchments show a trend towards more non-linear behaviour, meaning not only faster initial recession but also slower recession towards base flow. This trend has been found to be independent from climate change. Instead, we suggest that land cover change, both natural (restoration of natural soil profiles in forested areas) and anthropogenic (reforestation and optimized water management), is probably responsible. Both change types are characterised by system adaptation and change, towards more optimal ecohydrological conditions, suggesting landscape co-evolution is at play. Given the observed magnitudes of recession changes during the past 50 years, predictions of future river discharge critically need to include the effects of landscape co-evolution. The interconnections between the controls of land cover and climate on river recession behaviour, as we have quantified in this paper, provide first-order handles to do so.

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Section: Temperaturementioning

confidence: 72%

Streamflow recession patterns can help unravel the role of climate and humans in landscape co-evolution

Bogaart

Velde²,

Lyon

et al. 2016

Hydrol. Earth Syst. Sci.

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“…Regions like the BSDB lend themselves naturally to the development of frameworks spanning disciplinary as well as geographical and political boundaries (e.g., the BALTEX project [Bengtsson, ] which investigates the hydrological cycle and the exchange of energy between the atmosphere and the surface of the Earth). Such large regions offer unique challenges of resource management and development of governance (Saaltink et al ., ). For example, the BSDB intersects 14 countries of different development trajectories: Belarus, Czech Republic, Denmark, Estonia, Finland, Germany, Latvia, Lithuania, Norway, Poland, Russia, Slovakia, Sweden, and Ukraine.…”

Section: Introductionmentioning

confidence: 97%

Seasonal and Regional Patterns in Performance for a Baltic Sea Drainage Basin Hydrologic Model

Lyon

Meidani

Velde

et al. 2014

J American Water Resour Assoc

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This study evaluates the ability of the Catchment SIMulation (CSIM) hydrologic model to describe seasonal and regional variations in river discharge over the entire Baltic Sea drainage basin (BSDB) based on 31 years of monthly simulation from 1970 through 2000. To date, the model has been successfully applied to simulate annual fluxes of water from the catchments draining into the Baltic Sea. Here, we consider spatiotemporal bias in the distribution of monthly modeling errors across the BSDB since it could potentially reduce the fidelity of predictions and negatively affect the design and implementation of land-management strategies. Within the period considered, the CSIM model accurately reproduced the annual flows across the BSDB; however, it tended to underpredict the proportion of discharge during high-flow periods (i.e., spring months) and overpredict during the summer low flow periods. While the general overpredictions during summer periods are spread across all the subbasins of the BSDB, the underprediction during spring periods is seen largely in the northern regions. By implementing a genetic algorithm calibration procedure and/or seasonal parameterization of subsurface water flows for a subset of the catchments modeled, we demonstrate that it is possible to improve the model performance albeit at the cost of increased parameterization and potential loss of parsimony.(KEY TERMS: Baltic Sea drainage basin; Baltic NEST; hydrological modeling; generalized watershed loading function (GWLF).)

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“…Analyzing trends in monitoring data from 1970 to 2000, Saaltink et al [18] found that the reduced loads in nitrogen is not evenly distributed but display large spatial variation and are related to the socio-economic developments within the Baltic Sea Basin. The estimated required abatement similarly varies significantly with a required reduction of up to 26% in the Baltic Sea [17] of which 5000 t/a N shall be reduced by the state MV.…”

Section: Introductionmentioning

confidence: 99%

Groundwater Contribution to Surface Water Contamination in a North German Low Land Catchment with Intensive Agricultural Land Use

Waseem¹,

Koegst²,

Tränckner³

2018

JWARP

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The contribution of groundwater (GW) to the nitrate loads in surface waters (SW) was exemplarily studied for the river Augraben with a catchment area of 89.9 km 2 , located in north eastern Germany. The study uses available GW and SW quality data in order to develop a relationship between SW and GW in the Augraben catchment. The calculated ratio of base flow varies from 40% to 80% using various filtering methods of hydrograph separation methods

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Societal, land cover and climatic controls on river nutrient flows into the Baltic Sea

Cited by 16 publications

References 34 publications

Streamflow recession patterns can help unravel the role of climate and humans in landscape co-evolution

Streamflow recession patterns can help unravel the role of climate and humans in landscape co-evolution

Seasonal and Regional Patterns in Performance for a Baltic Sea Drainage Basin Hydrologic Model

Groundwater Contribution to Surface Water Contamination in a North German Low Land Catchment with Intensive Agricultural Land Use

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