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Potential benefits of a spatially targeted regulation based on detailed N-reduction maps to decrease N-load from agriculture in a small groundwater dominated catchment
被引:33
|作者:
Hansen, A. L.
[1
]
Refsgaard, J. C.
[1
]
Olesen, J. E.
[2
]
Borgesen, C. D.
[2
]
机构:
[1] Geol Survey Denmark & Greenland, Dept Hydrol, Oster Voldgade 10, DK-1350 Copenhagen K, Denmark
[2] Aarhus Univ, Dept Agroecol, Blichers Alle 20, DK-8830 Tjele, Denmark
关键词:
Nitrate reduction;
Groundwater;
Modelling;
Spatially targeted regulation;
Uncertainty;
RIVER-BASIN;
NITROGEN;
AREAS;
MANAGEMENT;
POLLUTION;
MODEL;
SWAT;
D O I:
10.1016/j.scitotenv.2017.03.114
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Denmark must further decrease the N-load to coastal waters from agricultural areas to comply with the Baltic Sea Action Plan and the EU Water Framework Directive. A new spatially targeted regulation is under development that focuses on locating N-mitigation measures in areas with low natural reduction of nitrate (N-reduction). A key tool in this respect is N-reduction maps showing how much N is removed by natural reduction processes, i.e. the ratio between the N-load out of the catchment and the N-leaching from the root zone for each spatial unit within the catchment. For the 85 km(2) groundwater dominated Norsminde catchment in Denmark we have analysed the potential benefits of a spatially targeted regulation and how its efficiency is affected by uncertainty in the N-reduction map. Our results suggest that there are potential benefits of implementing a spatially targeted regulation compared to a spatially uniform regulation. The total N-load at the catchment outlet can be decreased up to 8% by relocating the existing agricultural practice according to the N-reduction map and thus without decrease fertilization inputs. A further decrease in N-load can be obtained by identifying target areas with low N-reduction where N-mitigation measures must be applied. Uncertainty on the N-reduction map is found to lower the efficiency of spatially targeted regulation. This uncertainty can be lowered substantially by using the mean of an ensemble of N-reduction maps. The uncertainty decreases with coarser spatial resolution of the N-reduction map, but this will at the same time decrease the benefit from spatially targeted regulation. (C) 2017 Elsevier B.V. All rights reserved.
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页码:325 / 336
页数:12
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