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Frontiers of Environmental Science & Engineering    2020, Vol. 14 Issue (1) : 4-     https://doi.org/10.1007/s11783-019-1183-7
RESEARCH ARTICLE
Nitrate removal to its fate in wetland mesocosm filled with sponge iron: Impact of influent COD/N ratio
Zhihao Si, Xinshan Song(), Xin Cao(), Yuhui Wang, Yifei Wang, Yufeng Zhao, Xiaoyan Ge, Awet Arefe Tesfahunegn
College of Environmental Science and Engineering, State Environmental Protection Engineering Center for Pollution Treatment and Control in Textile Industry, Donghua University, Shanghai 201620, China
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Abstract

• CW-Fe allowed a high-performance of NO3-N removal at the COD/N ratio of 0.

• Higher COD/N resulted in lower chem-denitrification and higher bio-denitrification.

• The application of s-Fe0 contributed to TIN removal in wetland mesocosm.

• s-Fe0 changed the main denitrifiers in wetland mesocosm.

Sponge iron (s-Fe0) is a porous metal with the potential to be an electron donor for denitrification. This study aims to evaluate the feasibility of using s-Fe0 as the substrate of wetland mesocosms. Here, wetland mesocosms with the addition of s-Fe0 particles (CW-Fe) and a blank control group (CW-CK) were established. The NO3-N reduction property and water quality parameters (pH, DO, and ORP) were examined at three COD/N ratios (0, 5, and 10). Results showed that the NO3-N removal efficiencies were significantly increased by 6.6 to 58.9% in the presence of s-Fe0. NH4+-N was mainly produced by chemical denitrification, and approximately 50% of the NO3-N was reduced to NH4+-N, at the COD/ratio of 0. An increase of the influent COD/N ratio resulted in lower chemical denitrification and higher bio-denitrification. Although chemical denitrification mediated by s-Fe0 led to an accumulation of NH4+-N at COD/N ratios of 0 and 5, the TIN removal efficiencies increased by 4.5%‒12.4%. Moreover, the effluent pH, DO, and ORP values showed a significant negative correlation with total Fe and Fe (II) (P<0.01). High-throughput sequencing analysis indicated that Trichococcus (77.2%) was the most abundant microorganism in the CW-Fe mesocosm, while Thauera, Zoogloea, and Herbaspirillum were the primary denitrifying bacteria. The denitrifiers, Simplicispira, Dechloromonas, and Denitratisoma, were the dominant bacteria for CW-CK. This study provides a valuable method and an improved understanding of NO3-N reduction characteristics of s-Fe0 in a wetland mesocosm.

Keywords Sponge iron      Wetland mesocosm      Electronic donor      Denitrification      COD/N ratio     
发布日期: 2019-10-30
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作者相关文章
Zhihao Si
Xinshan Song
Xin Cao
Yuhui Wang
Yifei Wang
Yufeng Zhao
Xiaoyan Ge
Awet Arefe Tesfahunegn
引用本文:   
Zhihao Si,Xinshan Song,Xin Cao, et al. Nitrate removal to its fate in wetland mesocosm filled with sponge iron: Impact of influent COD/N ratio[J]. Front. Environ. Sci. Eng., 2020, 14(1): 4.
网址:  
https://journal.hep.com.cn/fese/EN/10.1007/s11783-019-1183-7     OR     https://journal.hep.com.cn/fese/EN/Y2020/V14/I1/4
Iron content (%) Caron content (%) Bulk density (g/cm3) BET (m2/g)
62.7?68.3 10.3?15.6 1.6?1.8 3.07?3.38
Tab.1  The physical properties of sponge iron particles
Fig.1  Schematic of wetland mesocosms.
Fig.2  Effects of sponge iron on NO3?-N conversion at different COD/N ratios. (a) Effluent NO3?-N concentrations. (b) Average NO3?-N removal. (c) Effluent NO2?-N concentrations. (d) Effluent NH4+-N concentrations. ** indicates a significant difference of P<0.01. *** indicates a significant difference of P<0.001.
Fig.3  Effects of sponge iron on TIN removal. ** indicates a significant difference of P<0.01. *** indicates a significant difference of P<0.001.
Fig.4  Effects of sponge iron on effluent COD concentrations. ns represents no significant difference.
Fig.5  SEM images and EDS analysis of sponge iron before (a) and after use (b).
Fig.6  Effluent concentrations of total Fe, Fe(II) and Fe(III) at different COD/N ratios.
Wetland type COD/N pH DO (mg/L) ORP (mV)
Influent 0 7.01±0.03 d 7.65±0.10a 198.0±11.3a
5 7.01±0.04 d 7.71±0.12a 196.0±8.1a
10 7.00±0.08 d 7.79±0.17a 198.9±9.2a
CW-CK 0 6.92±0.03 e 2.36±0.08b 93.0±10.6b
5 6.90±0.06 e 2.03±0.20c 61.4±13.9d
10 6.88±0.05 e 1.70±0.03e -41.2±4.1f
CW-Fe 0 9.55±0.08 a 1.86±0.07d 77.5±7.9c
5 9.39±0.06 b 1.87±0.25d 40.3±13.9e
10 7.63±0.05 c 1.51±0.03f -128.2±8.7g
Tab.2  Effects of sponge iron on effluent pH, DO and ORP values
Wetland type Iron speciation pH DO (mg/L) ORP (mV)
CW-CK Total Fe 0.22 0.308 0.293
Fe(II) 0.032 0.189 0.123
Fe(III) 0.469 0.284 0.417
CW-Fe Total Fe -0.953** -0.808** -0.958**
Fe(II) -0.957** -0.810** -0.971**
Fe(III) 0.275 0.258 0.353
Tab.3  Pearson’s correlation analysis between total Fe/Fe(II)/Fe(III) and pH, DO as well as ORP
Sample\Estimators ACE Chao1 Shannon Coverage
CW-CK 565.60 559.44 2.68 0.998
CW-Fe 243.27 242.00 1.22 0.999
Tab.4  The alpha diversity estimators of samples from CW-CK and CW-Fe
Fig.7  Heat map hierarchy cluster for the top 30 genera. Red and blue represent high or poor enrichment of a genus, respectively.
1 S S Adav, D J Lee, J Y Lai (2010). Enhanced biological denitrification of high concentration of nitrite with supplementary carbon source. Applied Microbiology and Biotechnology, 85(3): 773–778
https://doi.org/10.1007/s00253-009-2265-4 pmid: 19809812
2 Y An, T Li, Z Jin, M Dong, Q Li, S Wang (2009). Decreasing ammonium generation using hydrogenotrophic bacteria in the process of nitrate reduction by nanoscale zero-valent iron. Science of the Total Environment, 407(21): 5465–5470
https://doi.org/10.1016/j.scitotenv.2009.06.046 pmid: 19665759
3 G Claus, H J Kutzner (1985). Denitrification of nitrate and nitric acid with methanol as carbon source. Applied Microbiology and Biotechnology, 22(5): 378–381
https://doi.org/10.1007/BF00582424
4 T Hao, W Li, H Lu, H Chui, H R Mackey, M C van Loosdrecht, G Chen (2013). Characterization of sulfate-reducing granular sludge in the SANI(®) process. Water Research, 47(19): 7042–7052
https://doi.org/10.1016/j.watres.2013.07.052 pmid: 24200003
5 J J Her, J S Huang (1995). Influences of carbon source and C/N ratio on nitrate/nitrite denitrification and carbon breakthrough. Bioresource Technology, 54(1): 45–51
https://doi.org/10.1016/0960-8524(95)00113-1
6 G Huang, F Liu, Y Yang, X Kong, S Li, Y Zhang, D Cao (2015). Ammonium-nitrogen-contaminated groundwater remediation by a sequential three-zone permeable reactive barrier (multibarrier) with oxygen-releasing compound (ORC)/clinoptilolite/spongy iron: column studies. Environmental Science and Pollution Research International, 22(5): 3705–3714
https://doi.org/10.1007/s11356-014-3602-4 pmid: 25256584
7 H Ilyas, I Masih (2017). The performance of the intensified constructed wetlands for organic matter and nitrogen removal: A review. Journal of Environmental Management, 198(Pt 1): 372–383
https://doi.org/10.1016/j.jenvman.2017.04.098 pmid: 28494426
8 C Jiang, X Xu, M Megharaj, R Naidu, Z Chen (2015). Inhibition or promotion of biodegradation of nitrate by Paracoccus sp. in the presence of nanoscale zero-valent iron. Science of the Total Environment, 530-531: 241–246
https://doi.org/10.1016/j.scitotenv.2015.05.044 pmid: 26047857
9 Y Ju, X Liu, R Liu, G Li, X Wang, Y Yang, D Wei, J Fang, D D Dionysiou (2015). Environmental application of millimeter-scale sponge iron (s-Fe0) particles (II): The effect of surface copper. Journal of Hazardous Materials, 287: 325–334
https://doi.org/10.1016/j.jhazmat.2015.01.019 pmid: 25668301
10 A M E Khalil, O Eljamal, B B Saha, N Matsunaga (2018). Performance of nanoscale zero-valent iron in nitrate reduction from water using a laboratory-scale continuous-flow system. Chemosphere, 197: 502–512
https://doi.org/10.1016/j.chemosphere.2018.01.084 pmid: 29407812
11 D W Lee, S D Lee (2008). Tessaracoccus flavescens sp. nov., isolated from marine sediment. International Journal of Systematic and Evolutionary Microbiology, 58(4): 785–789
https://doi.org/10.1099/ijs.0.64868-0 pmid: 18398170
12 B Li, S Irvin (2007). The comparison of alkalinity and ORP as indicators for nitrification and denitrification in a sequencing batch reactor (SBR). Biochemical Engineering Journal, 34(3): 248–255
https://doi.org/10.1016/j.bej.2006.12.020
13 J Li, J Li, Y Li (2009). Cadmium removal from wastewater by sponge iron sphere prepared by charcoal direct reduction. Journal of Environmental Sciences (China), 21(Suppl 1): S60–S64
https://doi.org/10.1016/S1001-0742(09)60038-3 pmid: 25084434
14 Y Liu, G V Lowry (2006). Effect of particle age (Fe0 content) and solution pH on NZVI reactivity: H2 evolution and TCE dechlorination. Environmental Science & Technology, 40(19): 6085–6090
https://doi.org/10.1021/es060685o pmid: 17051804
15 Y Mao, Y Xia, Z Wang, T Zhang (2014). Reconstructing a Thauera genome from a hydrogenotrophic-denitrifying consortium using metagenomic sequence data. Applied Microbiology and Biotechnology, 98(15): 6885–6895
https://doi.org/10.1007/s00253-014-5756-x pmid: 24769905
16 Y Mao, Y Xia, T Zhang (2013). Characterization of Thauera-dominated hydrogen-oxidizing autotrophic denitrifying microbial communities by using high-throughput sequencing. Bioresource Technology, 128(1): 703–710
https://doi.org/10.1016/j.biortech.2012.10.106 pmid: 23247099
17 A Mielcarek, J Rodziewicz, W Janczukowicz, T Dulski, S Ciesielski, A Thornton (2016). Denitrification aided by waste beer in anaerobic sequencing batch biofilm reactor (AnSBBR). Ecological Engineering, 95: 384–389
https://doi.org/10.1016/j.ecoleng.2016.06.083
18 E D Negri, O M Alfano, M G Chiovetta (1995). Moving-Bed Reactor Model for the direct reduction of hematite. Parametric study. Industrial & Engineering Chemistry Research, 34(12): 4266–4276
https://doi.org/10.1021/ie00039a017
19 N H A Nguyen, R Špánek, V Kasalický, D Ribas, D Vlková, H Řeháková, P Kejzlar, A Ševců (2018). Different effects of nano-scale and micro-scale zero-valent iron particles on planktonic microorganisms from natural reservoir water. Environmental Science. Nano, 5(5): 1117–1129
https://doi.org/10.1039/C7EN01120B
20 L Panda, B Das, D S Rao, B K Mishra (2011). Application of dolochar in the removal of cadmium and hexavalent chromium ions from aqueous solutions. Journal of Hazardous Materials, 192(2): 822–831
https://doi.org/10.1016/j.jhazmat.2011.05.098 pmid: 21723036
21 M M Rahman, K L Roberts, M R Grace, A J Kessler, P L M Cook (2019). Role of organic carbon, nitrate and ferrous iron on the partitioning between denitrification and DNRA in constructed stormwater urban wetlands. Science of the Total Environment, 666: 608–617
https://doi.org/10.1016/j.scitotenv.2019.02.225 pmid: 30807951
22 K H Shin, D K Cha (2008). Microbial reduction of nitrate in the presence of nanoscale zero-valent iron. Chemosphere, 72(2): 257–262
https://doi.org/10.1016/j.chemosphere.2008.01.043 pmid: 18331753
23 Z Si, X Song, Y Wang, X Cao, Y Zhao, B Wang, Y Chen, A Arefe (2018). Intensified heterotrophic denitrification in constructed wetlands using four solid carbon sources: Denitrification efficiency and bacterial community structure. Bioresource Technology, 267: 416–425
https://doi.org/10.1016/j.biortech.2018.07.029 pmid: 30032055
24 T Tosco, M Petrangeli Papini, C, Cruz Viggi R Sethi. (2014). Nanoscale zerovalent iron particles for groundwater remediation: A review. Journal of Cleaner Production, 77: 10–21
https://doi.org/10.1016/j.jclepro.2013.12.026
25 J Vymazal (2007). Removal of nutrients in various types of constructed wetlands. Science of the Total Environment, 380(1-3): 48–65
https://doi.org/10.1016/j.scitotenv.2006.09.014 pmid: 17078997
26 G Wang, Y Wang, Y Guo, D Peng (2017). Effects of four different phosphorus-locking materials on sediment and water quality in Xi’an moat. Environmental Science and Pollution Research International, 24(1): 264–274
https://doi.org/10.1007/s11356-016-7796-5 pmid: 27714656
27 G B Wang, Y Wang, Y Zhang (2018). Combination effect of sponge iron and calcium nitrate on severely eutrophic urban landscape water: An integrated study from laboratory to fields. Environmental Science and Pollution Research International, 25(9): 8350–8363
https://doi.org/10.1007/s11356-017-1161-1 pmid: 29307060
28 Z Yi, J Xu, M Chen, W Li, J Yao, H Chen, F Wang (2013). Removal of uranium(VI) from aqueous solution using sponge iron. Journal of Radioanalytical and Nuclear Chemistry, 298(2): 955–961
https://doi.org/10.1007/s10967-013-2479-x
29 Y Zhang, G B Douglas, L Pu, Q Zhao, Y Tang, W Xu, B Luo, W Hong, L Cui, Z Ye (2017). Zero-valent iron-facilitated reduction of nitrate: Chemical kinetics and reaction pathways. Science of the Total Environment, 598: 1140–1150
https://doi.org/10.1016/j.scitotenv.2017.04.071 pmid: 28482461
30 Y Zhao, X Cao, X Song, Z Zhao, Y Wang, Z Si, F Lin, Y Chen, Y Zhang (2018). Montmorillonite supported nanoscale zero-valent iron immobilized in sodium alginate (SA/Mt-NZVI) enhanced the nitrogen removal in vertical flow constructed wetlands (VFCWs). Bioresource Technology, 267: 608–617
https://doi.org/10.1016/j.biortech.2018.07.072 pmid: 30056371
31 Z Zhen, W Qiao, C Xing, A Ying, X Shen, W Ren, L M Jiang, L Wang (2015). Microbial community structure of anoxic–oxic-settling-anaerobic sludge reduction process revealed by 454-pyrosequencing. Chemical Engineering Journal, 266(12): 249–257
32 Y Zhong, Q Yang, G Fu, Y Xu, Y Cheng, C Chen, R Xiang, T Wen, X Li, G Zeng (2018). Denitrifying microbial community with the ability to bromate reduction in a rotating biofilm-electrode reactor. Journal of Hazardous Materials, 342: 150–157
https://doi.org/10.1016/j.jhazmat.2017.08.019 pmid: 28826057
33 J Zhou, H Wang, K Yang, B Ji, D Chen, H Zhang, Y Sun, J Tian (2016). Autotrophic denitrification by nitrate-dependent Fe(II) oxidation in a continuous up-flow biofilter. Bioprocess and Biosystems Engineering, 39(2): 277–284
https://doi.org/10.1007/s00449-015-1511-7 pmid: 26650718
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