着生刚毛藻处理富营养化湖泊水

分别研究了室内和露天条件下在鹅卵石上着生的刚毛藻Cladophora oligoclona对富营养化湖水中氮(N)和磷(P)的净化效果及其对水华藻类生长的抑制能力,同时对处理后湖水的藻类生长潜力进行了测试.结果显示,刚毛藻在原始浓度总氮(TN)10.512 mg/L和总磷(TP)0.856 mg/L的富营养化湖水中能维持正常的生长代谢,并能有效去除水体中的N、P养分.在室内12 d培养期间,刚毛藻对TN、氨氮(NH4-N)、TP和无机磷(PO4-P)的平均去除率分别达53.13%,44.40%,35.7

Primary Productivity of Benthic Algae in Liangzi Lake and the Efficiency of Water Treatment by Cladophora Oligoclona

本文通过对梁子湖底栖藻类初级生产力的调查，为该湖泊的水质保护提供基本资料。同时研究了不同营养条件下寡枝刚毛藻Cladophora oligoclona Kütz的水处理效果，为拓展该藻在水环境保护中的应用提供参考依据。 在典型内陆浅水湖泊梁子湖选取北咀和前海堤两个纳污量不同的调查样点，采用密封系统CO2同化法对底栖藻类初级生产力进行了为期7个月的监测，并结合叶绿素a含量等指标进行了分析和评价。调查结果显示，梁子湖水质良好，达到二级至三级地表水质量标准，在营养型上属于贫中营养型湖泊。除冬季12月和1月外，梁子湖沿岸带底栖藻类具有较高的初级生产力，在晴朗天气时一般为0.2~0.5g C/m2·d。叶绿素a、初级生产力等生物指标在用于水质监测与评价方面具有可行性，但需要进一步研究。 分别在露天和实验室条件下，研究了寡枝刚毛藻Cladophora oligoclona对不同营养水平天然湖泊水中氮磷的去除效果及其对水华藻类的抑制作用。研究结果表明寡枝刚毛藻Cladophora oligoclona在小型天然水体中能使TN降低13.5%~45.8%，NH4-N降低33.3%~50.0%；对富营养化东湖水中TN、NH4-N、TP和SRP的日去除率分别波动在45.3％～59.3％、36.1％～48.7％、31.8～38.6％和27.7％～33.6％之间；对富营养化月湖水中水华微囊藻的产生明显抑制作用。因此认为刚毛藻适应的营养浓度范围较广，在富营养化湖泊水体的修复及污水处理厂二级出水的三级深度处理中均有一定的应用前景

藻类生物膜技术脱氮除磷效果研究

利用藻类生物膜去除水体氮磷为富营养化的防治提供了1种新途径,实验室条件下研究了以巨颤藻(Oscillatoria princeps)占优势的藻类生物膜对人工合成污水、污水处理厂二级污水和富营养化湖水氮(N)、磷(P)的去除效果.结果表明,通过5 d的处理,藻类生物膜对人工合成污水、污水处理厂二级污水和富营养化湖水总氮(TN)去除率分别为57.1%、94.5%和93.8%,对总磷(TP)去除率分别为93%、73%和79%.藻类产量达到3.7~7.2 g.(m2.d)-1;收获藻体总凯氏氮(TKN)达5.7

两种藻类对水体氮、磷去除效果

借助人工装置和露天水池,通过分析实验水体中氮、磷元素浓度的变化,研究了实验室条件下一种绿球藻(Chlorococcumsp.)和露天小型生态系统中寡枝刚毛藻(Cladophora oligoclonaKütz).对污水中氮磷营养的去除效果.结果显示:绿球藻在高浓度氮和磷的污水中生长良好并维持较高的氮磷去除率,在6天处理期间,人工污水中总溶解性氮、硝酸盐氮、氨氮、总溶解性磷的去除率分别达到46.2%,37.8%,98.4%和79.3%;在对天然湖泊水的处理中,绿球藻对总溶解性磷的去除率在第5天为79.2%

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies