Sun Guangzhi, Saeed Tanveer, Zhang Guangxin, Sivakugan Nagaratnam
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Road, Gaoxinbei District, Changchun City 130102, Jilin, China E-mail:
Department of Civil Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh.
Water Sci Technol. 2015;71(4):511-7. doi: 10.2166/wst.2014.479.
This study aimed to assess the quantity and quality of water in a surface flow constructed wetland in Australia's far north Queensland. Owing to tropical climate in the region, the wetland provided dual functions: retention of a treated wastewater for zero discharge during the dry season and tertiary treatment prior to discharge during the wet season. Rainfall data, permeability of wetland soil, evaporation, inflow and outflow were analysed in a water balance analysis; the results showed that based on a 72-year-average rainfall pattern, daily wastewater inflow of 85 m(3)/d is the maximum this wetland can cope with without breaching its discharge certificate. In water quality analysis, the K-C* model was used to predict changes of biochemical oxygen demand (BOD, suspended solids (SS), total nitrogen (TN), total phosphorus (TP) and faecal coliforms (FC) in the wetland. Model predictions were compared with field sampling results. It was found that the wetland was effective in removing FC (>99.9%), TN (70.7%) and TP (68.2%), for which the predictions by the K-C* model were consistent with field testing results. However, significant disparities between the predictions and testing results were found for BOD and SS. A revised K-C* equation was proposed to account for the internal generation of organics in constructed wetlands with a long retention time.
本研究旨在评估澳大利亚昆士兰州极北部一个地表流人工湿地的水量和水质。由于该地区的热带气候,该湿地具有双重功能:在旱季截留经过处理的废水以实现零排放,在雨季则在排放前进行三级处理。在水平衡分析中对降雨数据、湿地土壤渗透率、蒸发量、流入量和流出量进行了分析;结果表明,基于72年平均降雨模式,每日85立方米/天的废水流入量是该湿地在不违反其排放许可的情况下所能应对的最大值。在水质分析中,使用K-C模型预测湿地中生化需氧量(BOD)、悬浮固体(SS)、总氮(TN)、总磷(TP)和粪大肠菌群(FC)的变化。将模型预测结果与现场采样结果进行了比较。结果发现,该湿地在去除FC(>99.9%)、TN(70.7%)和TP(68.2%)方面效果显著,K-C模型对这些指标的预测与现场测试结果一致。然而,对于BOD和SS,预测结果与测试结果之间存在显著差异。针对停留时间较长的人工湿地中有机物的内源性生成问题,提出了一个修正的K-C*方程。