Comprehensive evaluation of manganese oxides and iron oxides as metal substrate materials for constructed wetlands from the perspective of water quality and greenhouse effect

Ecotoxicology and Environmental Safety

Jian Zhang¹  Congli Qin²  Shiyi Cheng³  Huijun Xie³  Wenxing Wang³  Zhen Hu³  Shuang Liang⁴ 

[1]Correspondence to: Shandong University, No. 72 Bin Hai Road, Qingdao 266237, PR China.

[2]Jiangsu Ecological Environmental Monitoring Co., Ltd, NanJing 210004, PR China

[3]Environment Research Institute, Shandong University, Qingdao 266237, PR China

[4]Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, PR China

关键词: Constructed wetlands;    Manganese oxides;    Iron oxides;    Global warming potential;    Microbial community;   

DOI  :  

来源: DOAJ

【 摘 要 】

Manganese oxides and iron oxides have been widely introduced in constructed wetlands (CWs) for sewage treatment due to their extensiveness in nature and their ability to participate in various reactions, but their effects on greenhouse gas (GHG) emissions remain unclear. Here, a set of vertical subsurface-flow CWs (Control, Fe-VSSCWs, and Mn-VSSCWs) was established to comprehensively evaluate which are the better metal substrate materials for CWs, iron oxides or manganese oxides, through water quality and the global warming potential (GWP) of nitrous oxide (N2O), methane (CH4), and carbon dioxide (CO2). The results revealed that the removal efficiencies of chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) in Mn-VSSCWs were all higher than that in Fe-VSSCWs, and manganese oxides could almost completely suppress the CH4 production and reduce GWP (from 8.15 CO2-eq/m2/h to 7.17 mg CO2-eq/m2/h), however, iron oxides promoted GWP (from 8.15 CO2-eq/m2/h to 10.84 mg CO2-eq/m2/h), so manganese oxides are the better CW substrate materials to achieve effective sewage treatment while reducing the greenhouse gas effect.

【 授权许可】

Unknown