The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
Concerns and Threats of Contamination on Aquatic Ecosystems
Open accessAbstract
Aquatic ecosystems are the ultimate sinks for the contaminants. Water contamination is the outcome of human activities such as urbanization, industrialization, and agricultural activities. The overuse of pesticides and fertilizers and sewage from residential and industrial areas ultimately find its way to aquatic environment. Thus results in the degradation of the water quality and leads to the spread of infectious diseases such as dysentery, diarrhea, and jaundice. Contamination in aquatic environs is one of the leading types of pollution which has significant negative health issues and mortality. Water has a natural capacity to neutralize the contamination, but when contamination becomes uncontrolled, water will lose its self-generating capacity. Therefore, there is a need for regular monitoring and controlling of pollutant discharge into the nearby aquatic environs.
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1 retracted
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Sharma, A., Goel, H., Sharma, S., Rathore, H. S., Jamir, I., Kumar, A., Thimmappa, S. C., Kesari, K. K., & Kashyap, B. K. (2024) · Environmental Science and Pollution Research · doi:10.1007/s11356-024-34977-1 · Cited by 34
Schutz, E. R. D., Broch Mignoni, D. S., Michelon, W., & Oliveira Nunes, E. D. (2025) · Biofuels · doi:10.1080/17597269.2025.2457817 · Cited by 3
Metadata
- Authors
- Bashir, I., Lone, F. A., Bhat, R. A., Mir, S. A., Dar, Z. A., & Dar, S. A.
- Venue
- Bioremediation and Biotechnology
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 1-26
- OpenAlex
- W3002354620
- Cited by
- 608
- References
- 104
- FWCI
- 114.15
- Type
- book chapter
- Language
- en
- Open access
- green
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- Bashir, I., Lone, F. A., Bhat, R. A., Mir, S. A., Dar, Z. A., & Dar, S. A. (2020). Concerns and Threats of Contamination on Aquatic Ecosystems. Bioremediation and Biotechnology. https://doi.org/10.1007/978-3-030-35691-0_1
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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.
