Suppr超能文献

原位地下水中反硝化和DNRA 速率在综合人工湿地之下。

In situ denitrification and DNRA rates in groundwater beneath an integrated constructed wetland.

机构信息

Department of Civil, Structural & Environmental Engineering, Trinity College Dublin, Ireland; Teagasc Environment Research Centre, Johnstown Castle, Co. Wexford, Ireland; Department of Soil Science, Bangladesh Agricultural University, Mymenisngh, 2202, Bangladesh.

Teagasc Environment Research Centre, Johnstown Castle, Co. Wexford, Ireland.

出版信息

Water Res. 2017 Mar 15;111:254-264. doi: 10.1016/j.watres.2017.01.015. Epub 2017 Jan 7.

Abstract

Evaluation of the environmental benefits of constructed wetlands (CWs) requires an understanding of their impacts on the groundwater quality under the wetlands. Empirical mass-balance (nitrogen in/nitrogen out) approaches for estimating nitrogen (N) removal in CWs do not characterise the final fate of N; where nitrate (NO-N) could be reduced to either ammonium (NH-N) or N with the potential for significant production of NO. Herein, in situ denitrification and DNRA (dissimilatory nitrate reduction to ammonium) rates were measured in groundwater beneath cells of an earthen lined integrated constructed wetland (ICW, used to remove the nutrients from municipal wastewater) using the N-enriched NO-N push-pull method. Experiments were conducted utilising replicated (n = 3) shallow (1 m depth) and deep (4 m depth) piezometers installed along two control planes. These control planes allowed for the assessment of groundwater underlying high (Cell 2, septic tank waste) and low (Cell 3) load cells of the ICW. Background piezometers were also installed off-site. Results showed that denitrification (NO-N + N-N) and DNRA were major NO-N consumption processes accounting together for 54-79% of the total biochemical consumption of the applied NO-N. Of which 14-16% and 40-63% were consumed by denitrification and DNRA, respectively. Both processes differed significantly across ICW cells indicating that N transformation depends on nutrient loading rates and were significantly higher in shallow compared to the deep groundwater. In such a reduced environment (low dissolved oxygen and low redox potential), higher DNRA over the denitrification rate can be attributed to the high C concentration and high TC/NO-N ratio. Low pH (6.5-7.1) in this system might have limited denitrification to some extent to an incomplete state, evidenced by a high NO-N/(NO-N+N-N) ratio (0.35 ± 0.17, SE). A relatively higher NO-N/(NO-N+N-N) ratio and higher DNRA rate over denitrification, suggest that the end products of N transformations are reactive. This NO can be consumed to N and/or emitted to the atmosphere. The DNRA rate and accumulation of NH-N indicated that the ICW created a suitable groundwater biogeochemical environment that enhanced NO-N reduction to NH-N. This study showed that CWs significantly influence NO-N attenuation to reactive forms of N in the groundwater beneath them and that solely focusing on within wetland NO-N attenuation can underestimate the environmental benefits of wetlands.

摘要

评价人工湿地(CWs)的环境效益需要了解湿地对地下水水质的影响。用于估计 CWs 中氮(N)去除的经验质量平衡(氮进氮出)方法不能描述 N 的最终归宿;硝酸盐(NO-N)可能被还原为铵(NH-N)或 N,并有产生大量 NO 的潜力。在此,使用 N 富集的 NO-N 推拉法,在用于去除城市废水中营养物质的土衬综合人工湿地(ICW)的单元下方的地下水中测量了原位反硝化和 DNRA(硝酸盐还原为铵)速率。实验利用沿两个对照面安装的(n=3)浅层(1m 深度)和深层(4m 深度)测压计进行了重复实验。这些对照面允许评估 ICW 高(单元 2,化粪池废物)和低(单元 3)负荷单元下方的地下水。还在场外安装了背景测压计。结果表明,反硝化(NO-N+N-N)和 DNRA 是主要的 NO-N 消耗过程,共同占应用的 NO-N 总生化消耗的 54-79%。其中,14-16%和 40-63%分别被反硝化和 DNRA 消耗。两个过程在 ICW 单元中差异显著,表明 N 转化取决于养分加载速率,并且在浅层地下水与深层地下水相比时,其显著更高。在这种还原环境(低溶解氧和低氧化还原电位)中,DNRA 相对于反硝化的速率较高,可归因于高 C 浓度和高 TC/NO-N 比。该系统中的低 pH 值(6.5-7.1)可能在一定程度上限制了反硝化到不完全状态,这一点从高 NO-N/(NO-N+N-N)比(0.35±0.17,SE)中可以看出。相对较高的 NO-N/(NO-N+N-N)比和较高的 DNRA 速率超过反硝化,表明 N 转化的最终产物是反应性的。可以将这种 NO 消耗为 N 和/或排放到大气中。DNRA 速率和 NH-N 的积累表明,ICW 创造了一个合适的地下水生物地球化学环境,增强了 NO-N 向 NH-N 的还原。本研究表明,CWs 显著影响其下方地下水中 NO-N 向反应性 N 形式的衰减,并且仅关注湿地内的 NO-N 衰减可能会低估湿地的环境效益。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验