Can we use mine waste as substrate in constructed wetlands to intensify nutrient removal? A critical assessment of key removal mechanisms and long-term environmental risks

浸出(土壤学) 环境科学 营养物 废水 废物管理 环境化学 环境工程 化学 土壤水分 工程类 土壤科学 有机化学
作者
Ruigang Wang,Xin Zhao,Tiecheng Wang,Zizhang Guo,Zhen Hu,Jian Zhang,Shubiao Wu,Haiming Wu
出处
期刊:Water Research [Elsevier BV]
卷期号:210: 118009-118009 被引量:69
标识
DOI:10.1016/j.watres.2021.118009
摘要

The utilization of natural ores and/or mine waste as substrate in constructed wetlands (CWs) to enhance nutrient removal performance has been gaining high popularity recently. However, the knowledge regarding the long-term feasibility and key removal mechanisms, particularly the potential negative environmental effects of contaminants leached from mine waste is far insufficient. This study, for the first time, performed a critical assessment by using different CWs with three mine waste (coal gangue, iron ore and manganese ore) as substrates in a 385-day experiment treating wastewater with varying nutrient loadings. The results showed that the addition of mine waste in CWs increased removal of total phosphorus (TP) by 17-34%, and total nitrogen (TN) by 11-51%. The higher removal of TP is mainly attributed to the strong binding mechanism of phosphate with the oxides and hydroxides of Mn, Fe and/or Al, which are leached out of mine waste. Moreover, integration of mine waste in CWs also significantly stimulated biofilm establishment and enriched the relative abundance of key functional genes related to the nitrogen cycle, supporting the observed high-rate nitrogen removal. However, leaching of heavy metals (Fe, Mn, Cu and Cr) from the beded mine waste in the experimented CWs was monitored, which further influenced cytoplasmic enzymes and created oxidative stress damage to plants, resulting in a decline of nutrient uptake by plants.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
旅途之人发布了新的文献求助10
1秒前
HY发布了新的文献求助10
2秒前
慕青应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
Hello应助科研通管家采纳,获得10
3秒前
桐桐应助科研通管家采纳,获得10
3秒前
molihuakai应助科研通管家采纳,获得10
3秒前
4秒前
4秒前
缓慢怜菡应助科研通管家采纳,获得20
4秒前
4秒前
4秒前
无花果应助科研通管家采纳,获得10
4秒前
李爱国应助gogogo采纳,获得10
4秒前
祎辰完成签到 ,获得积分10
5秒前
发发发布了新的文献求助10
5秒前
5秒前
过桥完成签到,获得积分10
5秒前
Ughitsmu应助危机的煎饼采纳,获得20
6秒前
VIGO完成签到,获得积分10
6秒前
djbj2022发布了新的文献求助10
6秒前
7秒前
8秒前
达落完成签到,获得积分10
8秒前
桐桐应助今天退休了吗采纳,获得10
8秒前
敏感的熊猫完成签到 ,获得积分10
10秒前
10秒前
lllllll完成签到,获得积分10
10秒前
11秒前
橘灯完成签到,获得积分10
12秒前
bkagyin应助谨慎的翩跹采纳,获得10
13秒前
Orange应助leez采纳,获得10
13秒前
xzy998应助天乐69采纳,获得10
13秒前
酷酷紫夏完成签到,获得积分10
14秒前
刀剑发布了新的文献求助10
14秒前
lllllll发布了新的文献求助50
15秒前
852应助cx采纳,获得30
15秒前
科研通AI6.4应助Xuehai采纳,获得10
15秒前
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6371119
求助须知:如何正确求助?哪些是违规求助? 8184815
关于积分的说明 17269319
捐赠科研通 5425601
什么是DOI,文献DOI怎么找? 2870327
邀请新用户注册赠送积分活动 1847364
关于科研通互助平台的介绍 1694018