MOE Key Laboratory of Resourcces and Environmental Systems Optimization, North China Electric Power University, Beijing, 102206, China.
MOE Key Laboratory of Resourcces and Environmental Systems Optimization, North China Electric Power University, Beijing, 102206, China; Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, S4S 0A2, Canada.
Sci Total Environ. 2018 Dec 10;644:536-546. doi: 10.1016/j.scitotenv.2018.06.331. Epub 2018 Jul 11.
The discharge of wastewater in rural areas without effective treatment may result in contamination of surrounding surface water and groundwater resources. This study explored the wastewater treatment performance of multi-soil-layering (MSL) systems through interactive factorial analysis. MSL systems showed good performances under various operating conditions. The COD and BOD removal rates in MSL systems could reach 98.53 and 93.66%, respectively. The performances of MSL systems in TP removal stayed at high levels ranged from 97.97 to 100% throughout the experiments. The NH - N removal rates of the well performed MSL systems reached highest levels ranging from 89.96 to 100%. The TN removal rates of aerated MSL systems ranged from 51.11 to 64.44% after 72 days of operation. The independent effects of bottom submersion, microbial amendment and aeration, as well as most interactions were significant. The performance of MSL systems was mainly affected by bottom submersion and aeration as well as their interactions. Aeration was the most positive factor for the removal of organic matter, TP and NH - N. However, oxygenated environment was unfavorable for NO - N removal. In the submerged area with limited oxygen, the microbial transformation of NO - N still occurred. A stepwise-cluster inference model was developed for tackling the multivariate nonlinear relationships in contaminant removal processes. The results can help obtain a better understanding of the complicated processes among contaminant removal in MSL systems.
农村污水未经有效处理排放,可能导致周边地表水和地下水资源污染。本研究通过交互因子分析探讨了多层土壤过滤(MSL)系统的废水处理性能。MSL 系统在各种运行条件下均表现出良好的性能。MSL 系统对 COD 和 BOD 的去除率分别可达 98.53%和 93.66%。在整个实验过程中,MSL 系统对 TP 的去除率始终保持在较高水平,范围为 97.97%至 100%。性能良好的 MSL 系统对 NH₋₅-N 的去除率高达 89.96%至 100%。曝气 MSL 系统经过 72 天运行后,TN 的去除率范围为 51.11%至 64.44%。底部浸没、微生物添加和曝气的独立效应以及大多数相互作用均显著。MSL 系统的性能主要受底部浸没和曝气及其相互作用的影响。曝气是去除有机物、TP 和 NH₋₅-N 的最积极因素。然而,富氧环境不利于 NO₋₅-N 的去除。在含氧有限的淹没区域,NO₋₅-N 的微生物转化仍会发生。建立了逐步聚类推断模型来解决污染物去除过程中多变量非线性关系的问题。研究结果有助于更好地理解 MSL 系统中污染物去除过程的复杂性。