Articles | Volume 16, issue 10
https://doi.org/10.5194/essd-16-4673-2024
https://doi.org/10.5194/essd-16-4673-2024
Data description paper
 | 
17 Oct 2024
Data description paper |  | 17 Oct 2024

Gridded dataset of nitrogen and phosphorus point sources from wastewater in Germany (1950–2019)

Fanny J. Sarrazin, Sabine Attinger, and Rohini Kumar

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Cited articles

Arle, J., Blondzik, K., Claussen, U., Duffek, A., Grimm, S., Hilliges, F., Kirschbaum, B., Kirst, I., Koch, D., Koschorreck, J., Lepom, P., Leujak, W., Mohaupt, V., Naumann, S., Pirntke, U., Rechenberg, J., Schilling, P., Ullrich, A., Wellmitz, J., Werner, S., and Wolter, R.: Waters in Germany: Status and assessment German environment, German Environmental Agency (UBA), Dessau-Roßlau, Germany, https://www.umweltbundesamt.de/en/publikationen/waters-in-germany (last access: 3 October 2023), 2017. a, b
Ascott, M. J., Gooddy, D. C., Wang, L., Stuart, M. E., Lewis, M. A., Ward, R. S., and Binley, A. M.: Global patterns of nitrate storage in the vadose zone, Nat. Commun., 8, 1416, https://doi.org/10.1038/s41467-017-01321-w, 2017. a
Basu, N. B., Meter, K. J. V., Byrnes, D. K., Cappellen, P. V., Brouwer, R., Jacobsen, B. H., Jarsjö, J., Rudolph, D. L., Cunha, M. C., Nelson, N., Bhattacharya, R., Destouni, G., and Olsen, S. B.: Managing nitrogen legacies to accelerate water quality improvement, Nat. Geosci., 15, 97–105, https://doi.org/10.1038/s41561-021-00889-9, 2022. a
Batool, M., Sarrazin, F. J., Attinger, S., Basu, N. B., Van Meter, K., and R., K.: Long-term annual soil nitrogen surplus across Europe (1850–2019), Scientific Data, 9, 612, https://doi.org/10.1038/s41597-022-01693-9, 2022. a, b
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Short summary
Nitrogen (N) and phosphorus (P) contamination of water bodies is a long-term issue due to the long history of N and P inputs to the environment and their persistence. Here, we introduce a long-term and high-resolution dataset of N and P inputs from wastewater (point sources) for Germany, combining data from different sources and conceptual understanding. We also account for uncertainties in modelling choices, thus facilitating robust long-term and large-scale water quality studies.
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