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模拟运行和气候变化条件下土壤基废水处理系统中的细菌迁移

Bacteria Transport in a Soil-Based Wastewater Treatment System under Simulated Operational and Climate Change Conditions.

作者信息

Morales Ivan, Amador José A, Boving Thomas

出版信息

J Environ Qual. 2015 Sep;44(5):1459-72. doi: 10.2134/jeq2014.12.0547.

DOI:10.2134/jeq2014.12.0547
PMID:26436263
Abstract

Bacteria removal efficiencies in a conventional soil-based wastewater treatment system (OWTS) have been modeled to elucidate the fate and transport of bacteria under environmental and operational conditions that might be expected under changing climatic conditions. The HYDRUS 2D/3D software was used to model the impact of changing precipitation patterns, bacteria concentrations, hydraulic loading rates (HLRs), and higher subsurface temperatures at different depths and soil textures. Modeled effects of bacteria concentration shows that greater depth of treatment was required in coarser soils than in fine-textured ones to remove . The initial removal percentage was higher when HLR was lower, but it was greater when HLR was higher. When a biomat layer was included in the transport model, the performance of the system improved by up to 12.0%. Lower bacteria removal (<5%) was observed at all depths under the influence of precipitation rates ranging from 5 to 35 cm, and 35-cm rainfall combined with a 70% increase in HLR. Increased subsurface temperature (23°C) increased bacteria removal relative to a lower temperature range (5-20°C). Our results show that the model is able to effectively simulate bacteria removal and the effect of precipitation and temperature in different soil textures. It appears that the performance of OWTS may be impacted by changing climate.

摘要

已对传统土壤型污水处理系统(OWTS)中的细菌去除效率进行了建模,以阐明在气候变化可能带来的环境和运行条件下细菌的归宿和迁移情况。利用HYDRUS 2D/3D软件对不同深度和土壤质地条件下降水模式变化、细菌浓度、水力负荷率(HLR)以及较高的地下温度的影响进行了建模。细菌浓度的模拟效果表明,为实现去除目标,粗质地土壤所需的处理深度要大于细质地土壤。当HLR较低时,初始去除率较高,但当HLR较高时,去除率增幅更大。当在迁移模型中加入生物膜层时,系统性能提升了12.0%。在5至35厘米的降水速率以及35厘米降雨且HLR增加70%的影响下,各深度的细菌去除率均较低(<5%)。相对于较低温度范围(5-20°C),地下温度升高(23°C)会提高细菌去除率。我们的结果表明,该模型能够有效模拟不同土壤质地中细菌的去除情况以及降水和温度的影响。看来,气候变化可能会影响OWTS的性能。

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