Optimization and modeling of coagulation-flocculation to remove algae and organic matter from surface water by response surface methodology

Charge neutralization and sweep flocculation were the major mechanisms. Effect of process parameters was investigated. Optimal coagulation conditions were studied by response surface methodology. ANN models presented more robust and accurate prediction than RSM. Seasonal algal blooms of Lake Yangcheng highlight the necessity to develop an effective and optimal water treatment process to enhance the removal of algae and dissolved organic matter (DOM). In the present study, the coagulation performance for the removal of algae, turbidity, dissolved organic carbon (DOC) and ultraviolet absorbance at 254 nm (UV₂₅₄) was investigated systematically by central composite design (CCD) using response surface methodology (RSM). The regression models were developed to illustrate the relationships between coagulation performance and experimental variables. Analysis of variance (ANOVA) was performed to test the significance of the response surface models. It can be concluded that the major mechanisms of coagulation to remove algae and DOM were charge neutralization and sweep flocculation at a pH range of 4.66–6.34. The optimal coagulation conditions with coagulant dosage of 7.57 mg Al/L, pH of 5.42 and initial algal cell density of 3.83 × 10⁶ cell/mL led to removal of 96.76%, 97.64%, 40.23% and 30.12% in term of cell density, turbidity, DOC and UV₂₅₄ absorbance, respectively, which were in good agreement with the validation experimental results. A comparison between the modeling results derived through both ANOVA and artificial neural networks (ANN) based on experimental data showed a high correlation coefficient, which indicated that the models were significant and fitted well with experimental results. The results proposed a valuable reference for the treatment of algae-laden surface water in practical application by the optimal coagulation-flocculation process.     

蟛蜞菊水提液对水华蓝藻——卵孢金孢藻的化感作用研究

为探究陆生植物对水华蓝藻的化感作用,本文采用不同浓度的蟛蜞菊(Wedelia chinensis)水提液对卵孢金孢藻(Chrysosporum ovalisporum)进行了为期6 d的室内培养试验,结果发现:蟛蜞菊水提液对卵孢金孢藻的化感作用总体上呈"低促高抑";当蟛蜞菊水提液浓度大于6 g·L~(-1)时,将显著降低卵孢金孢藻光合作用有效量子效率(YⅡ)、最大量子产量(Fv/Fm)、叶绿素a(Chla)含量和藻细胞生物量(P0.01);当浓度大于8 g·L~(-1)时,单位藻细胞内的超氧化物歧化酶(SOD)、谷胱甘肽-S-转移酶(GST)活性显著高于对照组(P0.05),表明蓝藻细胞受到较强的胁迫作用;透射电镜观察结果表明:高浓度蟛蜞菊水提液会破坏细胞膜,导致藻细胞内的类囊体、羧基体、气囊等超微结构受损,并最终导致藻细胞溶解、藻丝断裂和死亡。此外,本文利用Logisitic模型研究了蟛蜞菊水提液对卵孢金孢藻的半效应浓度(EC50),其24 h、48 h、72 h和144 h的EC50分别为:3.78 g·L~(-1)、4.47 g·L~(-1)、4.72 g·L~(-1)和6.55 g·L~(-1)。本研究为中国湖泊蓝藻水华的防治增添了基础数据和新的技术思路。     

结合卫星遥感技术的太湖蓝藻水华形成风场特征

为进一步了解太湖蓝藻水华形成和分布与近地面风场的关系,利用太湖湖面及周边地区2003~2013年气象与卫星观测数据分析、并应用WRF3.5.1数值模型模拟,发现太湖蓝藻水华主要出现在卫星观测时刻前6h平均风速为0.5~3.4 m/s的区间,占比达94.7%;蓝藻水华面积总体上随风速增大而减小,大范围蓝藻水华主要出现在前6h平均风速≤2 m/s的情形下,占比达89%;风向则主要影响蓝藻水华在太湖的空间分布格局.结果表明局地风场对于太湖蓝藻水华的形成、输移和分布具有重要作用.     

1株微小杆菌对4种蓝藻的生长影响

利用过滤的天然珍珠养殖水参照BG11配制加富培养液,将1株能促进鱼害微囊藻生长的微小杆菌属菌株(Exiguobacterium sp.013,简写为E.sp.013)进行纯化扩大培养后与铜绿微囊藻(Microcystis aeruginosa)、水华微囊藻(Microcystis flosaquae)、平裂藻(Merismopedia sp.)和惠氏微囊藻(Microcystis wesenbergii)按一定菌、藻密度比例同时接种后进行为期24 d的培养试验,利用特定生长率和细胞密度等指标观察并检验E.sp.013菌株对4种蓝藻生长的影响,同时检测培养液中优势菌群的数量变化趋势.结果表明:E.sp.013菌对铜绿微囊藻、水华微囊藻和惠氏微囊藻具有显著促生长和延长稳定生长期作用,对平裂藻不具有显著促生长作用,但对延长其稳定生长期具有显著效果;试验培养过程中E.sp.013菌落数量占所有菌落总数的比例始终高于46％,处于绝对优势地位,表明E.sp.013菌具有调控其他菌群的能力.     

水环境中微囊藻毒素研究进展

随着水体污染和富营养化进程的加剧,淡水水华暴发的频率和强度亦趋严重,笔者综述了有毒水华发生过程中释放的主要次级代谢物——微囊藻毒素的研究现状。该毒素是一类具有多种异构体的环状多肽物质。由于其毒性大、分布广、结构稳定,从而成为水环境中的潜在危害物质。对微囊藻毒素的产生、迁移及转化途径的研究已成为关注热点。微囊藻毒素作为安全性评价的风险因子,其分析方法主要有液相色谱和酶联免疫法等。为改善水源水质,逐步发展了包括物理、化学、生物等手段的控制方法。在总结国内外研究的基础上,根据我国实情,提出了微囊藻毒素在大型富营养化湖泊治理中的研究内容和方向。      

Patchiness and bistability in the comprehensive cyanobacterial model (CCM)

We analyzed spatiotemporal dynamics of cyanobacteria using a four-component mathematical model with nutrients, unicellular algae, colonial algae and herbivorous zooplankton. One of the astonishing abilities of cyanobacteria is the morphological change from the unicellular type to the colonial or filamentous type in response to grazing activities of zooplankton, the phenomenon known as phenotypic plasticity. Our model, referred to as comprehensive cyanobacterial model (CCM), includes the effects of phenotypic plasticity. Depending on parameter values, CCM exhibits not only bistability but also limit cycle oscillations without showing the paradox of enrichment, which has been a controversy among mathematical ecologists. Further, CCM is modified to reaction–advection–diffusion equations, the simulation results of which indicate that the ratio of the lateral diffusivity to the turbulent velocity significantly affects the appearance of patchiness patterns.     

再生水用于景观水体的氮磷水质标准确定

污水再生利用是解决水资源短缺问题的重要措施,其中再生水回用于景观水体是主要途径之一.而防止水华爆发则是再生水景观利用的首要任务,控制再生水中的氮磷是防止水华爆发的根本措施.目前已有的景观水体水质标准中,氮磷浓度限值要求不统一,缺乏科学依据.因此再生水处理过程中氮磷控制标准执行易出现矛盾,不利于保障再生水景观利用的水质安全.再生水景观利用的氮磷控制标准,应在藻类最大生长潜力研究的基础上,通过藻类生长的Logistic模型和Monod模型、景观水体氮磷浓度模型按拟合,并结合水体自净能力和水质保障措施等综合因素加以确定.以栅藻(Scenedesmus sp)为例,通过Logistic模型和Monod模型拟合景观水体水华控制氮磷浓度限值的确定方法.     

潜水丁坝在湖滨带生态恢复中的应用

为保护和稳固湖滨带,在太湖梅梁湾进行生态恢复研究,并成功地实施了示范工程.沿湖滨带共构筑14道潜水丁坝,每道长23～28 m,坝间距为40～80 m,坝上种植芦苇和菰.构筑的潜水丁坝能经受住太湖常见大风袭击和湖流淘蚀,芦苇和菰等长势良好,湖滨原有芦苇带在一定水深范围内每年向湖延伸2～5 cm,坝上其他水生植物和底栖动物螺蛳等自然繁衍.潜水丁坝所起作用为利用自然力改变岸边流场,使泥沙在湖滨带预定沉积区内沉积,减缓岸边侵蚀和降低沉积物再悬浮,从而为湖滨带水生植物生长创造良好的生境条件.研究发现,在微风条件下,潜水丁坝群能有效拦截麇集于岸边的蓝绿藻,并在湖滨带进行消化降解.研究提出的构筑潜水丁坝并种植水生植物的方案为湖滨带生态恢复提供了一种新的探索途径.     

引滦河道中水质偏碱的起因研究

过分析揭示引滦河道pH值偏高的主要区域在于桥水库内,并分别从引滦河道流域内的岩石、土壤对地面水中溶质的影响、地下水运移及地面水中浮游植物的光合作用对水体pH值的影响等几方面寻找原因。经研究确定水体中藻类的光合作用是pH升高的主要原因。水中较高的氮、磷使藻类大量繁殖,而藻类在光合作用过程中,吸收二氧化碳,放出氧气,从而影响水中HCO-₃,CO₂和OH-的平衡,进而导致水体中pH升高。      

壳聚糖改性粘土对水华优势藻铜绿微囊藻的絮凝去除

研究了壳聚糖改性对粘土絮凝去除铜绿微囊藻的影响.经壳聚糖包覆改性后的海泡石在投加总量仅为11 mg/L时,0.5h即可去除80%的藻细胞,2h去除率达到90%.不同粘土改性后絮凝除藻能力均有大幅度提高,原来除藻能力相去甚远的不同粘土,包括一般的黄土,改性后除藻能力被提升到相近的水平,投加量11 mg/L,可去除铜绿微囊藻90%以上.改性粘土和一般絮凝剂一样有一最佳投加量(本研究为11 mg/L),低于或超过此最佳值,絮凝除藻效果均下降.