江汉平原湖群藻相特征及其环境状况评价

于2011年4月—2012年5月丰、平、枯3个水期对江汉平原水面面积为10 km^2以上的22个湖泊进行了水质和藻类同步监测.结果显示：江汉平原主要湖泊中鉴定出藻类7门100属191种（亚种、变种）,其中蓝藻门17属29种,绿藻门45属99种,硅藻门26属40种,隐藻门2属5种,裸藻门4属9种,甲藻门3属5种,金藻门3属4种;全年平均藻细胞丰度为0.93×10^6~84.18×10^6cells/L,细胞丰度以蓝藻门最高（50.65%）,其次是绿藻门（29.56%）,再次是硅藻门（12.30%）、隐藻门（6.19%）、裸藻门（0.56%）、甲藻门（0.39%）和金藻门（0.35%）;丰水期生物量显著高于平水期和枯水期,Shannon-Wiener多样性指数年均值在1.44~2.10之间,丰水期的多样性指数略高于其他水期;藻类种类组成及优势种有明显的季节变化和空间差异.依据藻相特征的PCA分析将22个湖泊分为4个类群,不同类群具有显著不同的环境状况,氮磷营养负荷、水质状况和开发利用程度的不同是导致湖泊分化的内在原因;研究结果显示,江汉平原湖群总体上属于轻度污染状况,水体主要是中营养状态,丰水期与枯水期的湖泊生态环境状况具有显著差异;以藻相特征判断22个湖泊存在明显的时空异质性,部分湖泊因过度开发利用存在严重的富营养化风险;基于湖泊生态状况的显著时空异质性,对江汉平原湖群的管理应＂因湖而异＂制订科学合理的方法

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