超声波去除藻类:Aru水库的案例研究

T. Thurkka, N. Anoja, T. Mikunthan, A. Thavaranjit
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引用次数: 0

摘要

Per Aru水库位于斯里兰卡北部省Vavuniya地区,全长32公里,流域面积372平方公里。Per Aru水库的唯一目的是由国家供水和排水委员会向瓦武尼亚地区的市区供应饮用水。主要问题被确定为Per Aru水库的藻类数量非常高。因此,研究的重点是超声波技术(Quattro- DB超声器)在Per Aru水库中减少藻类数量的效率,以及评价饮用水颜色和浑浊度的变化。2018年4月至7月,按月间隔在离超声仪不同距离处采集原水样本;50米、100米、150米、200米、500米作为表层、中层、底层三个不同深度的控制。测定了EC、pH、浊度、总硬度、硝酸盐、磷酸盐和总铁。藻类数量也受到抑制。除颜色和浊度外,所有参数均在斯里兰卡饮用水标准的推荐水平内。颜色(20 - 75 Pt-Co)和浊度(3.03 - 5.97 NTU)非常高。超声波发生器在水体表面的去除率为76 ~ 85%。超声波控藻效果良好,声纳效率随距离的增加而降低,随深度的增加而降低。统计分析表明,在50米和100米距离上,效率没有显著变化。在距离声纳器50米、100米的地方,藻类被明显清除。最后得出结论:Per Aru水库存在色差、浑浊和藻类问题,常规处理是去除色差和浑浊的重要措施。超声波处理有效地控制了阿鲁水库的藻类数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Removal of algae by sonicator: a case study from per Aru reservoir
Per Aru is a reservoir which rises in Vavuniya district, Northern Province, Sri Lanka with the length and basin size of 32 Km and 372 Km2 respectively. Per Aru reservoir is for the sole purpose of supplying drinking water to the urban area of Vavuniya district by National Water Supply and Drainage Board. Major problem was identified as very high algal population in the Per Aru reservoir. Hence research was focused on efficiency of ultrasound wave’s technology (Quattro- DB sonicator) to reduce the algal population in Per Aru reservoir and to evaluate the change of colour and turbidity for drinking water supply. Raw water samples were collected from April to July 2018 at monthly interval from different distance from sonicator; 50m, 100m, 150m, 200m and 500m as control in three different depths as surface, middle and bottom. EC, pH, turbidity, total hardness, nitrate, phosphate and total iron were tested. Algae population also was countered. All the parameters were within the recommended level of Sri Lankan drinking water standards except colour and turbidity. The colour (20 - 75 Pt-Co) and Turbidity (3.03 - 5.97 NTU) was very high. Efficiency of sonicator was high in the surface and algal removal percentage was ranges from 76 to 85%. Ultrasonic algal control has favourable results and sonicator efficiency was reduced with increasing distance and was reduced with increasing depth from surface to bottom. Statistical analysis shows that there were no significant variation in the efficiency in 50m and 100m distance. Algae were significantly removed in 50m, 100m than the 200m distance from the sonicator. Finally it was concluded that Per Aru reservoir has colour, turbidity and algae problem and conventional treatment is important to remove colour and turbidity. Ultrasonication has effectively control the algal population in Per Aru reservoir.
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