江汉平原农田生态系统B素循环及平衡分析

以江汉平原农田生态系统为研究对象 ,通过对当地农户小麦 -稻、稻 -稻、油菜 -大豆、油菜 -花生、小麦 -芝麻、小麦 -棉花、青椒 -大白菜、萝卜 -茄子 8种种植模式农田 B素的输入、输出和平衡研究。结果表明 ,B素的输出主要是作物收获 ,占 B素总输出量的 4 4.8%～ 6 4 .7% ;其次是淋溶损失占 2 5 %～ 4 1 .4 % ,B素流失占总输出量的 9.2 %～ 1 7.4 %。B素的主要输入途径是施有机肥和 B肥 ,此外 ,降雨也是 B素输入的主要途径 ,该区域各种类型农田生态系

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以江汉平原农田生态系统为研究对象，通过对当地农户小麦-稻、稻-稻、油菜-大豆、油菜-花生、小麦-芝麻、小麦-棉花、青椒-大白菜、萝卜-茄子8种种植模式农田B素的输入、输出和平衡研究。结果表明，B素的输出主要是作物收获，占B素总输出量的44.8%～64.7%；其次是淋溶损失占25%～41.4%，B素流失占总输出量的9.2%～17.4%。B素的主要输入途径是施有机肥和B肥，此外，降雨也是B素输入的主要途径，该区域各种类型农田生态系统B素输入途径大小顺序为菜田：有机肥>降雨>灌溉>自然归还>无机肥>种子（种苗）；水田和旱地：降雨>有机肥>灌溉>自然归还>无机肥>种子（种苗）。对B素平衡研究表明，该区2种菜田由于有机肥扩入较大，普通盈余，而2种稻田由于施用有机肥和秸杆还用归还许多B素，B素亦基本平衡。而4种旱地有1种种植模式由于有B肥和有机肥的投入，B素盈余较多，而另3种农田由于施化肥而不施有机肥和B肥，B素出现不同程度的亏损

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