NDLI: Organic and Nutrients Removal by 5 Aquatic Plants in Simulated Constructed Wetland

Content Provider	IEEE Xplore Digital Library
Author	Feng Xiaoyou Song Yonghui Peng Jianfeng Liu Xueyu Qiu Guanglei Zeng Qingru
Copyright Year	2011
Abstract	In order to study the contaminant removal characteristics of constructed wetlands (CWs) under high loadings, the performance of CWs planted with Arrowhead, Alisma, Monochoria korsakowii, Thalia dealbata and Oenan the were investigated, respectively, to determine the effects of plants in contaminant removal and for wetland plant selection. The experiment was conducted by sequencing batch feed, with the initial ammonia nitrogen(NH4+-N), total phosphorus(TP)and chemical oxygen demand (COD) concentration of37.7mg/L, 2.1 mg/L and 71.6 mg/L, respectively. The results showed that, for TP removal, the highest removal efficiency of79.01% was acquired in Arrowhead treatment, while other plants treatment showed little difference from unplanted control. For NH4+-N removal, all planted treatments showed superior removal rates than unplanted control, the highest removal rate of 63.67% was also acquired in Arrowhead treatment. For the COD removal, the removal rate of 6treatments all reached 40%-70% and planted treatments performed better than the control treatment, especially for Arrowhead. Generally speaking, Arrowhead was the best plant for CWs under high loadings. Plant factors played an important role in contaminant removal processes of CWs.
Starting Page	923
Ending Page	925
File Size	250146
Page Count	3
File Format	PDF
ISBN	9781612842783
DOI	10.1109/CDCIEM.2011.228
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-02-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Computers Contaminant removal Wetland plants Chemical oxygen demand Distributed control Phosphorus Nitrogen Monitoring
Content Type	Text
Resource Type	Article

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