Literature DB >> 33524746

Characterization of dissolved organic matter and carbon release from wetland plants for enhanced nitrogen removal in constructed wetlands for low C-N wastewater treatment.

Yucong Zheng1, Ting Cao2, Yadai Zhang2, Jiaqing Xiong3, Mawuli Dzakpasu4, Dan Yang2, Qian Yang2, Ying Liu2, Qian Li2, Shuaishuai Liu2, Xiaochang Wang4.   

Abstract

The effects of pretreatment methods on the structure of functional groups and denitrification promotion capacity of solid carbon sources derived from reeds and cattails were elucidated. Alkaline treatment improved the relative content of carbon in the plant tissues, as well as prolonged the high denitrification rate of 0.40 mg/(L·h) from 6 days up to circa 28 days. Moreover, alkaline-heated cattails (ALH-C) showed high denitrification promotion capacity, and increased the removal rate of TN, NO3--N and NH4+-N in the CW by 24.41%, 31.80% and 8.80%, respectively. Furthermore, the quantity, quality and migration of dissolved organic matter (DOM) released from ALH-C in CW analyzed via fluorescence excitation-emission matrix spectrophotometry showed mainly humic acid-like, tyrosine-like, and tryptophan-like components. These DOM components were highly bioavailable and had minimal effects on COD removal. These results provide insights into the preparation and environmental applications of plant carbon sources.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Constructed wetland; Dissolved organic matter; Fluorescence; Solid carbon source; Wetland plants

Year:  2021        PMID: 33524746     DOI: 10.1016/j.chemosphere.2021.129630

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  1 in total

1.  Effectiveness of agricultural waste in the enhancement of biological denitrification of aquaculture wastewater.

Authors:  Shuwei Gao; Wangbao Gong; Kai Zhang; Zhifei Li; Guangjun Wang; Ermeng Yu; Yun Xia; Jingjing Tian; Hongyan Li; Jun Xie
Journal:  PeerJ       Date:  2022-04-28       Impact factor: 3.061

  1 in total

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