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Forecasting the effects of EU policy measures on the nitrate pollution of groundwater and surface waters
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作者 ralf kunkel Peter Kreins +1 位作者 Bjrn Tetzlaff Frank Wendland 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2010年第6期872-877,共6页
We used the interdisciplinary model network REGFLUD to predict the actual mean nitrate concentration in percolation water at the scale of the Weser river basin (Germany) using an area differentiated (100 m × 1... We used the interdisciplinary model network REGFLUD to predict the actual mean nitrate concentration in percolation water at the scale of the Weser river basin (Germany) using an area differentiated (100 m × 100 m) approach. REGFLUD combines the agro-economic model RAUMIS for estimating nitrogen surpluses and the hydrological models GROWA/DENUZ for assessing the nitrate leaching from the soil. For areas showing predicted nitrate concentrations in percolation water above the European Union (EU) groundwater quality standard of 50 mg NO3-N/L, effective agri-environmental reduction measures need to be derived and implemented to improve groundwater and surface water quality by 2015. The effects of already implemented agricultural policy are quantified by a baseline scenario projecting the N-surpluses from agricultural sector to 2015. The REGFLUD model is used to estimate the effects of this scenario concerning groundwater and surface water pollution by nitrate. From the results of the model analysis the needs for additional measures can be derived in terms of required additional N-surplus reduction and in terms of regional prioritization of measures. Research work will therefore directly support the implementation of the Water Framework Directive of the European Union in the Weser basin. 展开更多
关键词 catchment management diffuse source pollution mitigation methods river basin management Water Framework Directive
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Determination of nitrogen reduction levels necessary to reach groundwater quality targets in Slovenia
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作者 Miso Andelov ralf kunkel +1 位作者 Jo?e Uhan Frank Wendland 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2014年第9期1806-1817,共12页
Within a collaborative project between Slovenian Environment Agency (ARSO) and Research Center Jfilich (FZJ), nitrogen reduction levels necessary to reach groundwater quality targets in Slovenia were assessed. For... Within a collaborative project between Slovenian Environment Agency (ARSO) and Research Center Jfilich (FZJ), nitrogen reduction levels necessary to reach groundwater quality targets in Slovenia were assessed. For this purpose the hydrological model GROWA- DENUZ was coupled with agricultural N balances and applied consistently to the whole territory of Slovenia in a spatial resolution of 100 x 100 m. GROWA was used to determine the water balance in Slovenia for the hydrologic period 1971-2000. Simultaneously, the displaceable N load in soft was assessed from agricultural Slovenian N surpluses for 2011 and the atmospheric N deposition. Subsequently, the DENUZ model was used to assess the nitrate degradation in soil and, in combination with the percolation water rates from the GROWA model, to determine nitrate concentration in the leachate. The areas showing predicted nitrate concentrations in the leachate above the EU groundwater quality standard of 50 mg NO3/L have been identified as priority areas for implementing nitrogen reduction measures. For these "hot spot" areas DENUZ was used in a backward mode to quantify the maximal permissible nitrogen surplus levels in agriculture to guarantee a nitrate concentration in percolation water below 50 mg NO3/L. Model results indicate that additional N reduction measures should be implemented in priority areas rather than area-covering. Research work will directly support the implementation of the European Union Water Framework Directive in Slovenia, e.g., by using the maximal permissible nitrogen surplus levels as a framework for the derivation of regionally adapted and hence effective nitrogen reduction measures. 展开更多
关键词 EU Water Framework DirectiveGroundwater quality targetsNitrate pollutionReactive nitrate transport modeling
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