Addition of Fe2+ increase nitrate removal in vertical subsurface flow constructed wetlands

人工湿地 环境科学 湿地 地下水流 水文学(农业) 反硝化细菌 硝化作用 缺氧水域 营养物 废水 地下水
作者
Xinshan Song,Wang Suyan,Yuhui Wang,Zhimiao Zhao,Denghua Yan
出处
期刊:Ecological Engineering [Elsevier BV]
卷期号:91: 487-494 被引量:56
标识
DOI:10.1016/j.ecoleng.2016.03.013
摘要

Abstract Fe 2+ can assist in the process of denitrification as electron donor to enhance nitrogen removal in constructed wetlands (CWs). In this study, Fe 2+ was added to the influent of CWs aiming to investigate the effects of external Fe 2+ addition on denitrification efficiency at different carbon/nitrogen (C/N). Community-level physiological profile (CLPP) was assessed according to substrate utilization patterns with Biolog Eco Plates™. Results showed that external Fe 2+ remarkably improved the capability of denitrification in constructed wetlands. Nitrate removal rate was largely increased after the addition of 30 mg/L Fe 2+ to the CWs reactor for a 2-day hydraulic retention time (HRT) at the presence of organic carbon source with low C/N ratio of 2. In reactor without adding organic carbon source, Fe(II)–Fe(III) cycle reaction could not be completed, thus forming hydroxide precipitation leading to low effluent Fe 2+ and total iron. However, the enhancement of Fe 2+ on denitrification was not obvious at high C/N of 6 and 4 in that organic carbon acted as dominant electron donor in participating denitrification processes. Substrate microbial community structure and diversity in CWs were influenced by organic carbon source and Fe 2+ . The Shannon, Pielou and Simpson indices in the CWs with external Fe 2+ were higher than the control. Principal component analysis (PCA) showed that the CLPPs in constructed wetlands of different influents were significantly different. The constructed wetlands with added organic carbon sources and Fe 2+ were grouped together, while the wetlands with the low C/N and the wetlands with high C/N were detached.

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
jyk完成签到,获得积分10
刚刚
1秒前
狗铎发布了新的文献求助10
1秒前
G_G发布了新的文献求助10
1秒前
1秒前
狂奔的酸笋完成签到,获得积分10
2秒前
陈陈完成签到,获得积分10
2秒前
帅豪发布了新的文献求助10
3秒前
可爱的夜昭昭完成签到,获得积分10
3秒前
3秒前
3秒前
4秒前
呵呵发布了新的文献求助10
4秒前
5秒前
JamesPei的应助被青青子衿采纳,获得10
5秒前
Jennier发布了新的文献求助30
5秒前
DW的应助被chenghuan采纳,获得10
5秒前
愉快惜寒发布了新的文献求助10
5秒前
月亮完成签到,获得积分10
6秒前
6秒前
彭于晏的应助被LIANG采纳,获得10
6秒前
6秒前
zzz关注了科研通微信公众号
7秒前
7秒前
7秒前
鱼鱼完成签到,获得积分20
7秒前
粥粥完成签到 ,获得积分10
7秒前
王志杰发布了新的文献求助10
8秒前
8秒前
8秒前
10秒前
齐哈哈发布了新的文献求助10
10秒前
今后的应助被夏儿采纳,获得10
11秒前
TtCherry发布了新的文献求助10
11秒前
肃肃其羽发布了新的文献求助10
11秒前
12秒前
Orange的应助被飞龙采纳,获得100
12秒前
风吹麦浪的应助被江伊采纳,获得100
12秒前
111完成签到,获得积分10
12秒前
淡然冬灵发布了新的文献求助10
12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
Les Mantodea De Guyane 2000
从自在到自觉:中华民族观念形成研究:全二册 800
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
桑白皮エキスの実験的, 臨床的育毛効果について 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 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7998248
求助须知:如何正确求助?哪些是违规求助? 9451960
关于积分的说明 21137223
捐赠科研通 7571111
什么是DOI,文献DOI怎么找? 3380407
关于科研通互助平台的介绍 2513558
邀请新用户注册赠送积分活动 2414267