Spatially explicit fate factors of waterborne nitrogen emissions at the global scale
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Marine eutrophication impacts due to waterborne nitrogen (N) emissions may vary significantly with their type and location. The environmental fate of dissolved inorganic nitrogen (DIN) forms is essential to understand the impacts they may trigger in receiving coastal waters. Current life cycle impact assessment (LCIA) methods apply fate factors (FFs) with limited specificity of DIN emission routes, and often lack spatial differentiation and global applicability. This paper describes a newly developed method to estimate spatially explicit FFs for marine eutrophication at a global scale and river basin resolution.
The FF modelling work includes DIN removal processes in both inland (soil and river) and marine compartments. Model input parameters are the removal coefficients extracted from the Global NEWS 2-DIN model and residence time of receiving coastal waters. The resulting FFs express the persistence of the fraction of the original DIN emission in the receiving coastal large marine ecosystems (LMEs). The method further discriminates three DIN emission routes, i.e., diffuse emission from soils, and direct point emissions to freshwater or marine water. Based on modelling of individual river basins, regionally aggregated FFs are calculated as emission-weighted averages.
Results and discussion
Among 5772 river basins of the world, the calculated FFs show 5 orders of magnitude variation for the soil-related emission route, 3 for the river-related, and 2 for emissions to marine water. Spatial aggregation of the FFs at the continental level decreases this variation to 1 order of magnitude or less for all routes. Coastal water residence time was found to show inconsistency and scarcity of literature sources. Improvement of data quality for this parameter is suggested.
With the proposed method and factors, spatial information of DIN emissions can be used to improve the environmental relevance and the discriminatory power of the assessment of marine eutrophication impacts in a geographically differentiated characterization model at a global scale.
KeywordsCoastal water Denitrification Large marine ecosystems Life cycle impact assessment Removal processes Residence time River basin Watershed
The present research was partially funded by the European Commission under the 7th Framework Programme on Environment, ENV.2009.3.3.2.1: LC-IMPACT—Improved Life Cycle Impact Assessment (LCIA) methods for better sustainability assessment of technologies, grant agreement number 243827.
- Beusen AHW (2005) User manual of CARMEN1. (not published). Bilthoven, the NetherlandsGoogle Scholar
- Cosme N, Hauschild MZ (2017) Characterization of waterborne nitrogen emissions for marine eutrophication modelling in life cycle impact assessment at the damage level and global scale. Int J Life Cycle Assess 1–13. doi: 10.1007/s11367-017-1271-5
- Diaz RJ, Rosenberg R (1995) Marine benthic hypoxia: a review of its ecological effects and the behavioural responses of benthic macrofauna. In: Ansell AD, Gibson RN, Barnes M (eds) Oceanography and marine biology: an annual review. UCL Press, pp 245–303Google Scholar
- Fekete BM, Vörösmarty CJ, Grabs W (2000) Global composite runoff fields on observed river discharge and simulated water balances. Koblenz, GermanyGoogle Scholar
- GESAMP (2001) A sea of troubles. Rep. Stud. GESAMP No. 70. Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection and Advisory Committee on Protection of the SeaGoogle Scholar
- Goedkoop M, Heijungs R, Huijbregts MAJ et al (2012) ReCiPe 2008—a life cycle impact assessment method which comprises harmonised category indicators at the midpoint and the endpoint level. First edition (revised) Report I: Characterisation; July 2012. http://www.lcia-recipe.net
- Hauschild M, Potting J (2005) Spatial differentiation in life cycle assessment. The EDIP2003 methodology. Report No 80, Danish Ministry of the Environment. Environmental Protection Agency, Copenhagen, DenmarkGoogle Scholar
- Henderson AD (2015) Eutrophication. In: Hauschild MZ, Huijbregts MAJ (eds) Life cycle impact assessment, LCA compendium—the complete world of life cycle assessment. Springer Science+Business Media, Dordrecht, pp 177–196Google Scholar
- Kelly JR (2008) Nitrogen Effects on Coastal Marine Ecosystems. In: Hatfield JL, Follet RF (eds) Nitrogen in the Environment: Sources, Problems, and Management. Academic Press, Elsevier, Amsterdam, Boston pp 271–332 Google Scholar
- Klepper O, Beusen AHW, Meinardi CR (1995) Modelling the flow of nitrogen and phosphorus in Europe: from loads to coastal seas. National Institute of Public Health and Environmental Protection, BilthovenGoogle Scholar
- Lucas LV (2016) Encyclopedia of Estuaries. In: Kennish MJ (ed). Springer Netherlands, Dordrecht, pp 502–503 Google Scholar
- NRC (2000) Clean coastal waters: understanding and reducing the effects of nutrient pollution. National Academy Press, Washington, DCGoogle Scholar
- Seitzinger SP (1988) Denitrification in freshwater and coastal marine ecosystems: ecological and geochemical significance. Limnol Oceanogr 33:702–724Google Scholar
- Seitzinger SP, Mayorga E, Bouwman AF et al (2010) Global river nutrient export: a scenario analysis of past and future trends. Global Biogeochem Cycles 24:GB0A08Google Scholar
- Sherman K, Alexander LM (eds) (1986) Variability and management of large marine ecosystems. Westview Press Inc., BoulderGoogle Scholar
- Socolow RH (1999) Nitrogen management and the future of food: lessons from the management of energy and carbon. Proc Natl Acad Sci USA 96:6001–6008Google Scholar
- Turner RE, Qureshi N, Rabalais NN et al (1998) Fluctuating silicate: nitrate ratios and coastal plankton food webs. Proc Natl Acad Sci USA 95:13048–13051Google Scholar
- Udo de Haes HA, Finnveden G, Goedkoop M et al (2002) Life-cycle impact assessment: striving towards best practice. SETAC Press, PensacolaGoogle Scholar
- Van Drecht G, Bouwman AF, Knoop JM et al (2003) Global modeling of the fate of nitrogen from point and nonpoint sources in soils, groundwater, and surface water. Glob Biogeochem Cycles 17:1–20Google Scholar
- Van Drecht G, Bouwman AF, Harrison JA, Knoop JM (2009) Global nitrogen and phosphate in urban wastewater for the period 1970 to 2050. Glob Biogeochem Cycles 23:1–19Google Scholar
- Van Jaarsveld JA (1995) Modelling the long-term atmospheric behaviour of pollutants on various spatial scales. PhD Thesis. University of UtrechtGoogle Scholar
- Vollenweider RA (1976) Advances in defining critical loading levels for phosphorus in lake eutrophication. Mem dell’Istituto Ital di Idrobiol dott Marco Marchi 33:53–83Google Scholar