Proposing a Strict Epidemiological Methodology for Setting Empirical Critical Loads for Nitrogen Deposition

Author(s):  
Harald Sverdrup ◽  
Bengt Nihlgård ◽  
Salim Belyazid ◽  
Lucy J. Sheppard
1998 ◽  
pp. 591-598 ◽  
Author(s):  
J.C.I. Kuylenstierna ◽  
W.K. Hicks ◽  
S. Cinderby ◽  
H. Cambridge

1998 ◽  
Vol 102 (1) ◽  
pp. 591-598 ◽  
Author(s):  
J.C.I. Kuylenstierna ◽  
W.K. Hicks ◽  
S. Cinderby ◽  
H. Cambridge

Atmosphere ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 447 ◽  
Author(s):  
Thomas Ellermann ◽  
Jesper Nygaard ◽  
Jesper Christensen ◽  
Per Løfstrøm ◽  
Camilla Geels ◽  
...  

Eutrophication events are frequent in Inner Danish waters and critical loads are exceeded for much of the Danish sensitive terrestrial ecosystems. The Danish air quality monitoring program combines measurements and model calculations to benefit from the complementarities in data from these two sources. Measurements describe actual status, seasonal variation, and temporal trends. Model calculations extrapolate the results to the entire country and determine depositions to specific ecosystems. Measurements in 2016 show annual depositions between 7.5 and 11 kg N/ha to terrestrial ecosystems, and a load to marine waters of 5.3 kg N/ha. The deposition on Danish marine waters in 2016 was calculated to be 73,000 tons N with an average deposition of 6.9 kg N/ha. For terrestrial areas, the deposition was calculated to be 57,000 tons N with an average deposition of 13 kg N/ha. This is above critical loads for sensitive ecosystems. Long-term trends show a 35% decrease since 1990 in measured annual nitrogen deposition. At two out of four stations in nature areas, measured ammonia levels exceeded critical levels for lichens and mosses. Conclusions: Nitrogen loads and levels to Danish nature is decreasing, but critical loads and levels are still exceeded for sensitive ecosystems. Combining measurements and model calculations is a strong tool in monitoring.


2011 ◽  
Vol 22 (4) ◽  
pp. 741-749 ◽  
Author(s):  
G.W.W. Wamelink ◽  
P.W. Goedhart ◽  
A.H. Malinowska ◽  
J.Y. Frissel ◽  
R.J.M. Wegman ◽  
...  

2004 ◽  
Vol 8 (4) ◽  
pp. 813-822 ◽  
Author(s):  
J. Kros ◽  
A. Tietema ◽  
J. P. Mol-Dijkstra ◽  
W. de Vries

Abstract. To evaluate the effects of nitrogen (N) emission policies, reliable information on nitrate concentrations and leaching fluxes from forest ecosystems is necessary. Insight into the regional variability of nitrate concentrations, to support local policy on emission abatement strategies is especially desirable. In this paper, three methods for the calculation of a spatial distribution of soil nitrate concentrations in Dutch forest ecosystems are compared. These are (i) a regression model based on observed nitrate concentrations and additional data on explanatory variables such as soil type, tree species and nitrogen deposition (ii) a semi-empirical dynamic model WANDA, and (iii) a process-oriented dynamic model SMART2. These two dynamic models are frequently used to evaluate the effects of reductions in nitrogen deposition at scales ranging from regional to countrywide. The results of the regression model evaluated the performance of the two dynamic models. Furthermore, the results of the three methods are compared with the steady-state approach currently used for the derivation of nitrogen critical loads. Both dynamic models, in the form of cumulative distribution functions, give similar results on a national scale. Regional variability is predicted differently by both models. Discrepancies are caused mainly by a difference in handling forest filtering and denitrification. All three methods show that, despite the high nitrogen inputs, Dutch forests still accumulate more N than they release. This implies that, in respect of groundwater quality, presently acceptable nitrogen deposition is higher than the (long-term) critical loads. However, in areas with high atmospheric nitrogen input, all three methods indicate that the EU standard for nitrate in groundwater (50 mg NO3 l–1) is exceeded. Steady-state with nitrogen deposition seems to have been reached in about 10% of the forested area, with a nitrate concentration greater than 50 mg NO3–1. Keywords: soil modelling, up-scaling, model validation, critical load


2012 ◽  
Vol 166 ◽  
pp. 125-135 ◽  
Author(s):  
Leora Nanus ◽  
David W. Clow ◽  
Jasmine E. Saros ◽  
Verlin C. Stephens ◽  
Donald H. Campbell

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