两种人工湿地中氮、磷净化率与细菌分布关系的初步研究

研究了凤眼莲、水芹人工湿地对东湖污水中氮、磷净化率与有关细菌的空间分布的关系.结果表明:人工湿地中,植物除本身可以直接吸收含氮、磷化合物外,其根系分泌物可促进某些嗜磷、氮细菌的生长,促进氮、磷释放、转化,从而间接提高净化率.有植物的湿地系统,以上细菌数量显著高于无植物系统,且植物根部的细菌数比介质中高1～2 个数量级.在除氮机制中,植物起主导作用,而在磷的净化过程中,细菌是一个限制性因子

两种人工湿地中氮磷净化率与细菌分布关系的初步研究

研究了凤眼莲，水芹人工湿地对东湖污水中氮，磷经与有关细胞的空间分布的关系，结果表明，人工湿地中，植物除本身可以直接吸收含氮、磷化合物外，其根系分泌物可促进某些嗜磷，氮细菌的生长，促进氮，磷释放、转化，从而间接提高净化率

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