Gharbia Abdalkarim S, Zákányi Balázs, Tóth Márton
Faculty of Earth Science and Engineering, Institute of Environmental Management, University of Miskolc, Miskolc, Hungary.
Sci Rep. 2024 Apr 5;14(1):8065. doi: 10.1038/s41598-024-58787-0.
Reusing reclaimed wastewater became a practical resource for water utilization in groundwater recharge and irrigation activities. However, the quality of reclaimed wastewater needs improvement to meet the environmental regulations and reduce contamination risks. A laboratory-scale study simulated a soil aquifer treatment (SAT) system, exploring the synergistic effects of wet and dry cycles alongside key physicochemical parameters on pollutant removal efficiency using a glass column filled with quartz sand as the filtration medium. The investigation focused on the cyclic wetting and drying phases to unravel their impact on removing NH, NO, and PO. The synthetic wastewater introduced into the system exhibited varying pollutant concentrations during wet and dry periods, influenced by dynamic soil water content (WC%), pH, dissolved oxygen (DO), and oxidation-reduction potential (ORP). The high removal rates of 93% for PO and 43% for Total N demonstrate the system's capability to reduce concentrations significantly under dynamic alternating between wet and dry conditions. Results unveiled that the wet period consistently yielded higher removal rates for N species. Interestingly, for PO, the dry periods demonstrated a higher removal efficiency. Moreover, the study identified an average NO production during the experimental phases as a byproduct of nitrification. The average NO production in wet periods was 2.5 mg/L, whereas it slightly decreased to 2.2 mg/L in dry periods. These findings underscore the nuanced influence of wet and dry conditions on specific pollutants within SAT systems. Applying the logistic regression model and principal component analysis demonstrated the statistical significance of WC, pH, DO, and ORP in predicting wet/dry conditions, providing quantitative insights into their influential roles on the nutrient dynamic concentrations. This study contributes valuable data to our understanding of SAT systems, offering practical implications for designing and implementing sustainable wastewater treatment practices and pollution management across diverse environmental contexts.
再生废水回用成为地下水回灌和灌溉活动中一种切实可行的水资源利用方式。然而,再生废水的质量需要提高,以符合环境法规并降低污染风险。一项实验室规模的研究模拟了土壤含水层处理(SAT)系统,使用填充石英砂作为过滤介质的玻璃柱,探索干湿循环以及关键理化参数对污染物去除效率的协同效应。该研究聚焦于循环的湿润和干燥阶段,以阐明其对去除氨氮、硝酸盐氮和磷酸盐的影响。引入系统的合成废水在干湿期呈现出不同的污染物浓度,这受到动态土壤含水量(WC%)、pH值、溶解氧(DO)和氧化还原电位(ORP)的影响。磷酸盐93%和总氮43%的高去除率表明该系统在干湿条件动态交替下能够显著降低浓度。结果表明,湿润期对氮类物质的去除率始终较高。有趣的是,对于磷酸盐,干燥期表现出更高的去除效率。此外,该研究确定在实验阶段平均有亚硝酸盐氮作为硝化作用的副产物产生。湿润期亚硝酸盐氮的平均产量为2.5毫克/升,而在干燥期略有下降至2.2毫克/升。这些发现强调了干湿条件对SAT系统中特定污染物的细微影响。应用逻辑回归模型和主成分分析证明了土壤含水量、pH值、溶解氧和氧化还原电位在预测干湿条件方面的统计学意义,为它们对养分动态浓度的影响作用提供了定量见解。这项研究为我们理解SAT系统提供了有价值的数据,对设计和实施可持续废水处理实践以及在不同环境背景下的污染管理具有实际意义。