The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Organic pollution of rivers: Combined threats of urbanization, livestock farming and global climate change
Open accessAbstract
Organic pollution of rivers by wastewater discharge from human activities negatively impacts people and ecosystems. Without treatment, pollution control relies on a combination of natural degradation and dilution by natural runoff to reduce downstream effects. We quantify here for the first time the global sanitation crisis through its impact on organic river pollution from the threats of (1) increasing wastewater discharge due to urbanization and intensification of livestock farming, and (2) reductions in river dilution capacity due to climate change and water extractions. Using in-stream Biochemical Oxygen Demand (BOD) as an overall indicator of organic river pollution, we calculate historical (2000) and future (2050) BOD concentrations in global river networks. Despite significant self-cleaning capacities of rivers, the number of people affected by organic pollution (BOD >5 mg/l) is projected to increase from 1.1 billion in 2000 to 2.5 billion in 2050. With developing countries disproportionately affected, our results point to a growing need for affordable wastewater solutions.
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Global threats to human water security and river biodiversity
Vörösmarty, C. J., McIntyre, P. B., Gessner, M. O., Dudgeon, D., Prusevich, A., Green, P., Glidden, S., Bunn, S. E., Sullivan, C. A., Liermann, C. R., et al. (2010) · Nature · doi:10.1038/nature09440 · Cited by 7,582
Environmental Kuznets curve hypothesis: a survey
Dinda, S. (2004) · Ecological Economics · doi:10.1016/j.ecolecon.2004.02.011 · Cited by 4,106
Global pattern of trends in streamflow and water availability in a changing climate
Milly, P. C. D., Dunne, K. A., & Vecchia, A. V. (2005) · Nature · doi:10.1038/nature04312 · Cited by 2,283
Surface water-quality modeling
Chapra, S. C. (1997) · Cited by 2,051
Principles of surface water quality modeling and control
Thomann, R. V., & Mueller, J. A. (1987) · Cited by 1,280
(2002) · Medical Entomology and Zoology · Cited by 1,279
Human Population: The Next Half Century
Cohen, J. E. (2003) · Science · doi:10.1126/science.1088665 · Cited by 870
Massoud, M. A., Tarhini, A., & Nasr, J. A. (2009) · Journal of Environmental Management · doi:10.1016/j.jenvman.2008.07.001 · Cited by 833
Estimating the Burden of Disease from Water, Sanitation, and Hygiene at a Global Level
Prüss, A., Kay, D., Fewtrell, L., & Bartram, J. (2002) · Environmental Health Perspectives · doi:10.1289/ehp.02110537 · Cited by 832
Organic chemicals jeopardize the health of freshwater ecosystems on the continental scale
Malaj, E., von der Ohe, P. C., Grote, M., Kühne, R., Mondy, C. P., Usseglio-Polatera, P., Brack, W., & Schäfer, R. B. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1321082111 · Cited by 814
Cited by
Multiple threats imperil freshwater biodiversity in the Anthropocene
Dudgeon, D. (2019) · Current Biology · doi:10.1016/j.cub.2019.08.002 · Cited by 779
Green and Sustainable Pathways for Wastewater Purification
Yadav, M., Gupta, R., & Sharma, R. K. (2019) · Advances in Water Purification Techniques · doi:10.1016/b978-0-12-814790-0.00014-4 · Cited by 179
Inland navigation and land use interact to impact European freshwater biodiversity
Sexton, A. N., Beisel, J.-N., Staentzel, C., Wolter, C., Tales, E., Belliard, J., Buijse, A. D., Martínez Fernández, V., Wantzen, K. M., Jähnig, S. C., et al. (2024) · Nature Ecology & Evolution · doi:10.1038/s41559-024-02414-8 · Cited by 26
Metadata
- Authors
- Wen, Y., Schoups, G., & van de Giesen, N.
- Venue
- Scientific Reports
- Published
- 2017-02-23
- Volume
- 7
- Issue
- 1
- Pages
- 43289-43289
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2590804640
- Cited by
- 382
- References
- 31
- FWCI
- 13.91
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.