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Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Reduction of Hydrocarbon Pollutants by Hyacinth Plants (Eichhornia crassipes)

Authors: Nedi, Syahril; Effendi, Irwan; Tanjung, Afrizal; Elizal, Elizal;

Reduction of Hydrocarbon Pollutants by Hyacinth Plants (Eichhornia crassipes)

Abstract

The application of phytoremediation by utilizing plants has been used to control oil pollution in waters. One of the plants that can act as a phytoremediator is the hyacinth. Because this plant can reduce various pollutants including petroleum hydrocarbons. This study aims to study the reduction ability of petroleum hydrocarbons at different concentrations including improving water quality. This study consisted of one treatment (petroleum hydrocarbon) consisting of five factors with three replicates. The treatments consisted of 10 ppm (E1), 30 ppm (E2), 50 ppm (E3), 70 ppm (E4), 90 ppm (E5), and (E0) without aquatic plants as controls. The treatments were observed daily and measured from the first day (D-1), the seventh day (D7), and the fourteenth day (D-14). The water quality in each treatment was also measured; such as water temperature, pH, and dissolved oxygen. The results showed that the Hyacinth plant was able to reduce hydrocarbon in terms of Total Petroleum Hydrocarbon by 79% while it was only between 17-27% naturally without hyacinth. The reduction of TPH in the water was in line with the decrease of chlorophyll in the leaves of hyacinth, and it was followed by the increase of dissolved oxygen in the water media. In conclusion, hyacinths can reduce petroleum hydrocarbons and they can improve the water quality as well

Related Organizations
Keywords

Hyacinths, TPH, chlorophyll, Hydrocarbon pollutants, Phytoremediation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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