聚羧酸盐与磺酸盐分散剂的复配及其在农药水分散粒剂中的应用研究

分散剂在农药水分散粒剂(WDG)制备中具有重要的作用,研究了聚羧酸盐分散剂SD-819和磺酸盐分散剂SD-661的复配对WDG性能的影响。通过测定分散剂的表面张力和WDG的悬浮率等物化参数,发现复配分散剂制备WDG的悬浮率和崩解性等性能优于单一分散剂;同时考察了2种最优配比(3:6和4:3)的复配分散剂制备的WDG,结果表明Zeta电位和表面张力对制剂悬浮率等性能有重要的影响。</p

Study on mathematical model construction of typical gorge wind field

Wind conditions in gorges have a significant impact on the safe operation of high-speed trains, due to the lack of a unified gorge wind model and the limitations of traditional simulations that use oversimplified wind models, the complex wind speed distribution arising from the mountain surface boundary layer cannot be accurately captured. To address this, a three-dimensional, incompressible, steady calculation method is used to study wind field characteristics in a typical gorge. We propose a two-dimensional mathematical model to study the effects of gorge width on model parameters, including wind speed growth indices a(1) and a(2) in the height and horizontal directions, respectively. Our results demonstrate that the thickness of the mountain boundary layer can reach a maximum of approximately 30 metres, and the values of a(1) and a(2) range from 0.11 to 0.19 and 0.21 to 0.5, respectively. As gorge width increases, boundary layer thickness remains constant, a(1) gradually decreases, a(2 )remains unchanged above 250 m height. Our findings provide more accurate boundary conditions for numerical simulations of high-speed train operation in gorge wind conditions and offer theoretical recommendations for safe high-speed train operation through bridges, tunnels, and railways in mountainous regions

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