Elsevier

Water Research

Volume 195, 1 May 2021, 117000
Water Research

DOM chemodiversity pierced performance of each tandem unit along a full-scale “MBR+NF” process for mature landfill leachate treatment

https://doi.org/10.1016/j.watres.2021.117000Get rights and content

Highlight

  • Contribution and function of each unit were recognized along the “MBR+NF” process.

  • The “MBR+NF” process removed 83.2%-92.2% of DOM molecules in terms of richness.

  • Preferential removal of lignin/CRAM-likes with relatively high saturation.

  • Lignin/CRAM-likes, lipids and aliphatic/proteins played key roles in sCOD and DOC.

  • Bio-derived aliphatic/proteins were resistant and positively correlated with DON.

Abstract

Mature landfill leachate contains a substantial fraction of recalcitrant dissolved organic matters (DOM) that is a challenging for conventional wastewater treatment that is typically focused on the removal of biodegradable organic matter. “Biological treatment + membrane treatment” has been widely employed to treat complex leachate. However, the performance of each unit based on both conventional bulk indicators and molecular information has not been well understood. Therefore, the fate of DOM chemodiversity along the full-scale treatment process across ten sampling points over three different seasons were analyzed to determine the efficiency of every unit process with the assistance of ultra-performance liquid chromatography coupled with hybrid quadrupole Orbitrap mass spectrometry. Results showed that the process performance, visualized through the molecular signals, were relatively stable in the temporal dimension. The process removed 83.2%-92.2% of DOM molecules in terms of richness, where lignin/carboxyl-rich alicyclic compounds (CRAM)-likes with relatively high saturation was preferentially removed, while newly generated bio-derived N-containing compounds (N/Cwa 0.15-0.17) became resistant. The relationship between conventional bulk physicochemical indicators and molecular indexes suggested that soluble chemical oxygen demand (sCOD) and dissolved organic carbon (DOC) were contributed by the refractory DOM with high weighted average double bond equivalents (DBEwa), which was distributed in the region of O/C 0.2-0.5 and H/C 1.2-1.8. This refractory DOM required ultrafiltration and nanofiltration for removal. DOM molecules were positively correlated with five-day biochemical oxygen demand (BOD5) and revealed that approximately 96.9%-98.4% of the DOM could be removed or transformed in the primary anoxic zone. In addition, the bio-derived aliphatic/proteins, lipids and lignin/CRAM-likes (O/C > 0.2) with condensed aromatization were the sources of dissolved organic nitrogen (DON) and still remained in the final effluent. The present study suggests that the design and operation of the combination process with biological and membrane treatment could be specifically optimized based on the DOM molecular characteristics of the wastewater.

Introduction

Landfilling is a predominate method for the management of municipal solid waste. One of the primary issues for landfill operation is the generation of highly concentrated and complex leachate (Qiu et al. 2020b, Zhan et al. 2017). The properties of landfill leachate changes over time, usually indicated by a gradual decrease in biodegradability and increase in ammonia-nitrogen concentration as leachate transitions from young to mature (Kurniawan and Lo 2009, Renou et al. 2008). The characteristics of mature leachate (i.e., low biodegradability and high concentration of ammonia-nitrogen) adds to the difficulty in treating this leachate. Dissolved organic matter (DOM) is the dominant contributor to total organic carbon of landfill leachate (Liu et al. 2015, Lü et al. 2009). In addition, the composition and characteristics of DOM change when undergoing diverse treatment factors, affecting effluent quality and subsequently the selection of advanced treatment technologies (Komatsu et al. 2020, Tang et al. 2020, Wagner et al. 2015). Meanwhile, more and more sophisticated combinations of different treatment technologies can be applied, raising the question of whether or not such combinations are redundant and too complicated and if the process can be simplified to some extent and still maintain the proper effluent quality. Hence, meeting a more stringent wastewater discharge requirements at a more cost-effective level is needed and it is important to trace the behavior of DOM in mature leachate during various treatment processes.

In order to uncover the characteristics of leachate DOM, significant efforts have focused on exploring analytical techniques to characterize these complex compounds (Lü et al. 2009, Qiu et al. 2020b, Yuan et al. 2017). To date, high-resolution mass spectrometry (HRMS) is recognized as the most promising analytical method to decipher the complex structure of DOM particularly at the molecular level, which has been universally employed in the environmental domain (Rathgeb et al. 2017, Wagner et al. 2015, Zhang et al. 2019). The combination of ultra-performance liquid chromatography with mass spectrometry ultrahigh-resolution (UPLC-HRMS) can provide additional information necessary to dissect DOM by accurate separation time and precise m/z (Lu et al. 2018, Petras et al. 2017). This technique has successfully confirmed the fingerprint characteristics of leachate DOM collected from different landfill sites (Qiu et al. 2020b) and the transformation of fresh leachate DOM during simultaneous denitrification and methanogenesis (Qiu et al. 2020a), therefore it is a proven powerful tool for tracing the transformation of mature leachate DOM during treatment processes in the field.

Recently, the endeavor of using molecular tools to uncover the characteristics of wastewater DOM and to improve the DOM removal efficiency gradually shifted from lab-scale or pilot-scale to field-scale processes. Biological treatment combined with membrane treatment is primary methods utilized for leachate treatment (Fudala-Ksiazek et al. 2018, Yang et al. 2019). For example, an anoxic-oxic membrane bioreactor with nanofiltration process for fresh leachate was examined by Wang et al. (2020), and membrane bioreactor with reverse osmosis (MBR-RO) process for mature leachate by Chen et al. (2020). However, these previous studies only evaluated the influent and effluent samples of the biological step, and the influent and effluent samples of the membrane step. Therefore, this methodology of sampling only the influent and effluent neglects the individual contribution of each unit in the complex biological steps (e.g. anaerobic unit, anoxic unit, oxic unit, MBR unit, sludge recycling unit) and in the complex membrane step (e.g. NF, the tandem of NF and RO). Typically, only direct data mining strategies have been applied, which only illustrate the molecular profile of either the influent or effluent DOM (e.g. the relative richness and abundance of DOM compounds). This limited information only provides the quantitative contribution of DOM removal via each unit. Furthermore, the molecular changes in DOM at the microscopic scale is rarely connected with the macroscopic performance indicated by traditionally bulk indicators like COD, which impairs the initial motivation of optimizing process performance through molecular tools.

Therefore, by using UPLC-HRMS to investigate the transformation of DOM on molecular level along a complex field-scale leachate treatment process, this study has the following goals: 1) to provide a comprehensive report on the fate of DOM at the molecular level in each treatment unit, 2) to quantify the contribution of each treatment unit in treating DOM, by applying our previously proposed mathematical method based on the absence/presence of DOM compounds (Qiu et al. 2020a), 3) to monitor the temporal changes of DOM in each treatment unit, and 4) to determine the performance efficiency of each unit by correlating the bulk indicators with the molecular DOM characteristics.

Section snippets

Sample collection and preparation

Samples marked as T1, T2, and T3, respectively, were collected in November 2018, January 2019, and March 2019 from a municipal solid waste landfill leachate treatment facility located in Shanghai, China. The landfill has been in operation for 11 years with a treatment capacity of 2 × 103-3 × 103 t/d. The physical composition of municipal solid waste is listed in Table S1 of supplementary information (SI). The workflow of the leachate treatment facility is shown in Fig. 1. Mature landfill

Treatment performance of “MBR+NF” for mature leachate in five months

As shown in Table S2, sCOD concentrations of the raw landfill leachate varied from 2,261-2,788 mg/L, while the ratios of BOD5/sCOD were merely 0.07-0.12 indicating its low biodegradability and confirming the stability of the studied leachate. The concentration range of NH4+-N was 1,176-1,858 mg/L and it accounted for more than 80% of DN.

The removal rates of sCOD and DN reached 93.0%-94.4% and 97.8%-98.7%, respectively. UF played a crucial role in the organic matter removal with its contribution

Relation of bulk indicators and molecular indexes as a whole

The relationship between the bulk indicators and molecular indexes were examined by the Pearson correlation (Fig. 9). The result showed that the DBEwa and Nwa were positively correlated with sCOD, DOC, and DON (R > 0.041, P < 0.831), while being negatively correlated with BOD5 (R < ‒0.238, P < 0.205). It could be assumed that organic matters in the mature landfill leachate were comprised of recalcitrant compounds with high condensation, and DON was occupied by high Nwa compounds with a high

Conclusions

Along the whole biological and membrane treatment train for the treatment of mature landfill leachate, DOM varied significantly in richness and composition. Approximately, 83.2%-92.2% of the DOM were removed in terms of richness, where the primary anoxic zone accounted for 55.1%-70.0%, followed by nanofiltration. However, it is difficult to remove the bio-derived N-containing compounds generated from the primary anoxic zone. Lignin/CRAM-likes DOM with a relatively high saturation were

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

The authors appreciate the National Key R&D Program of China (2018YFD1100600), National Natural Science Foundation of China (22076145), Shanghai Science and Technology Innovation Action Plan - One Belt One Road” International Cooperation Program (18230742200) for financial support. The authors also thank the great help from Shasha Li, Haowen Duan, Yulong Huang, Tianyu Hu and Dr. Stephanie Bolyard to this article.

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