Ali Haider, Min Yongen, Yu Xiaofei, Kooch Yahya, Marnn Phyoe, Ahmed Sarfraz
Engineering Research Center of Low-Carbon Treatment and Green Development of Polluted Water in Northeast China, Ministry of Education and State Environmental Protection Key Laboratory For Wetland Conservation and Vegetation Restoration, School of Environment, Northeast Normal University, Changchun, China.
Key Laboratory of Vegetation Ecology of Ministry of Education and Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun, China.
Front Microbiol. 2024 Jul 19;15:1421094. doi: 10.3389/fmicb.2024.1421094. eCollection 2024.
Traditionally constructed wetlands face significant limitations in treating tailwater from wastewater treatment plants, especially those associated with sugar mills. However, the advent of novel modified surface flow constructed wetlands offer a promising solution. This study aimed to assess the microbial community composition and compare the efficiencies of contaminant removal across different treatment wetlands: CW1 (Brick rubble, lignite, and L.), CW2 (Brick rubble and lignite), and CW3 ( L.). The study also examined the impact of substrate and vegetation on the wetland systems. For a hydraulic retention time of 7 days, CW1 successfully removed more pollutants than CW2 and CW3. CW1 demonstrated removal rates of 72.19% for biochemical oxygen demand (BOD), 74.82% for chemical oxygen demand (COD), 79.62% for NH -N, 77.84% for NO -N, 87.73% for ortho phosphorous (OP), 78% for total dissolved solids (TDS), 74.1% for total nitrogen (TN), 81.07% for total phosphorous (TP), and 72.90% for total suspended solids (TSS). Furthermore, high-throughput sequencing analysis of the 16S rRNA gene revealed that CW1 exhibited elevated Chao1, Shannon, and Simpson indices, with values of 1324.46, 8.8172, and 0.9941, respectively. The most common bacterial species in the wetland system were Proteobacteria, Spirochaetota, Bacteroidota, Desulfobacterota, and Chloroflexi. The denitrifying bacterial class Rhodobacteriaceae also had the highest content ratio within the wetland system. These results confirm that CW1 significantly improves the performance of water filtration. Therefore, this research provides valuable insights for wastewater treatment facilities aiming to incorporate surface flow-constructed wetland tailwater enhancement initiatives.
传统建造的湿地在处理来自污水处理厂的尾水方面面临重大限制，尤其是那些与糖厂相关的尾水。然而，新型改良表面流人工湿地的出现提供了一个有前景的解决方案。本研究旨在评估微生物群落组成，并比较不同处理湿地（CW1：砖 rubble、褐煤和 L.；CW2：砖 rubble 和褐煤；CW3：L.）的污染物去除效率。该研究还考察了基质和植被对湿地系统的影响。在水力停留时间为 7 天的情况下，CW1 成功去除的污染物比 CW2 和 CW3 更多。CW1 对生化需氧量（BOD）的去除率为 72.19%，对化学需氧量（COD）的去除率为 74.82%，对 NH -N 的去除率为 79.62%，对 NO -N 的去除率为 77.84%，对正磷酸盐（OP）的去除率为 87.73%，对总溶解固体（TDS）的去除率为 78%，对总氮（TN）的去除率为 74.1%，对总磷（TP）的去除率为 81.07%，对总悬浮固体（TSS）的去除率为 72.90%。此外，对 16S rRNA 基因的高通量测序分析表明，CW1 的 Chao1、Shannon 和 Simpson 指数升高，分别为 1324.46、8.8172 和 0.9941。湿地系统中最常见的细菌种类是变形菌门、螺旋体门、拟杆菌门、脱硫杆菌门和绿弯菌门。反硝化细菌类红杆菌科在湿地系统中的含量比例也最高。这些结果证实 CW1 显著提高了水过滤性能。因此，本研究为旨在纳入表面流人工湿地尾水强化举措的污水处理设施提供了有价值的见解。
