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Evaluation of the factors influencing the treatment performance of a livestock constructed wetland
Ecological Engineering ( IF 3.9 ) Pub Date : 2020-04-01 , DOI: 10.1016/j.ecoleng.2020.105811
Nash Jett Reyes , Franz Kevin Geronimo , Lee-Hyung Kim

Abstract The expansion of livestock industry resulted to larger waste production and pollutant deposition in the natural environment. Advanced treatment systems for treating wastewater and discharges from livestock areas are necessary to reduce the pollutant loads in receiving water bodies. This study mainly focused on evaluating the effectiveness of a livestock constructed wetland in treating composite wastewater discharge and stormwater runoff. Water and sediment samples were collected and analyzed to determine the factors that can potentially affect the performance of the facility. Positive pollutant removal performances for turbidity (52% to 81%), TSS (61 to 82%), organics (34% to 50%), and nutrients (10% to 48%) were noted in the CW for storm events and dry days due to the continuity of flow and adequate HRT conducive to pollutant removal. SLR models for pollutant removal efficiency yielded low r2 values (0.26 to 0.53) and high errors (6.85% to 31.45%) implied that the predictive removal efficiencies were not precise. Despite the significant decrease (p

中文翻译:

畜禽人工湿地处理效果影响因素评价

摘要 畜牧业的扩张导致了自然环境中更大的废物产生和污染物沉积。为了减少受纳水体中的污染物负荷,需要用于处理废水和牲畜区排放物的高级处理系统。本研究主要集中于评估牲畜人工湿地在处理复合废水排放和雨水径流方面的有效性。收集并分析水和沉积物样本,以确定可能影响设施性能的因素。在 CW 中,针对风暴事件和干旱,浊度(52% 至 81%)、TSS(61% 至 82%)、有机物(34% 至 50%)和营养物(10% 至 48%)的污染物去除性能良好由于流动的连续性和足够的 HRT 有利于污染物去除。污染物去除效率的 SLR 模型产生低 r2 值(0.26 至 0.53)和高误差(6.85% 至 31.45%)意味着预测去除效率不准确。尽管显着下降 (p
更新日期:2020-04-01
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