808
Views
38
CrossRef citations to date
0
Altmetric
Articles

Efficiency of nitrogen and phosphorus removal by six macrophytes from eutrophic water

, , , , &
Pages 643-651 | Published online: 24 Jan 2019
 

Abstract

Increased nitrogen and phosphorus pollution causes eutrophication in water bodies. Using aquatic plants to remove nutrients from water is an attractive phytoremediation. It is a cost-effective, environment-friendly, and efficient way that reduces water body eutrophication by the plant. It is important to choose suitable macrophytes to remove excess N and P under different nutrient conditions. In this study, six macrophyte species (Polygonum orientale, Juncus effuses, Iris pseudocorus, Phragmites australis, Iris sanguinea, Typha orientalis) were tested. Simulation experiment was conducted under five N and P levels. The removal rate, relative growth rate, and the dynamic nutrition concentration of cultivated solution were investigated. Of all the treatment, a 23–95% reduction in N removal and a 29–92% reduction in P removal were recorded. The results showed I. sanguinea is a promising species to treat various eutrophic waters and the other five species can be used specifically to treat certain types of water. The data provided a theoretical guidance to plant species selection for phytoremediation of polluted water bodies for the purpose of water quality improvement around the different reservoir in northern China.

Acknowledgments

We gratefully thank editor and anonymous reviewer for their valuable suggestions.

Additional information

Funding

This work was financially supported by the National Key Research and Development Program of China [2016YFC0500300].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 382.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.