干旱区绿洲散耗型水文模型及其在塔里木河流域的应用

该项目主要内容包括干旱区绿洲水文过程特点的分析：分析了干旱区水文气象特点、土地利用特点以及水量引用、输送（散流）、转化、消耗等水文过程；绿洲散耗性水文模型的建立：在散耗型流域概念基础上，构建了绿洲散耗性水文模型的理论体系和实现框架，提出并建立了干旱区绿洲散耗性水文模型；模型的应用与分析：利用所建立的散耗型水文模型，对喀什、阿克苏、巴州、克州与和田等绿洲的水文循环过程进行了模拟，分析了现状条件下绿洲内水分运动、转化、消耗、利用的规律，结合绿洲水土资源管理规划、重大建设工程的立项与地下水开发利用等问题进行情景分析的模型模拟。 成果类别： 应用技

塔克拉玛干沙漠4种结构尼龙阻沙网的防风阻沙效益对比/Comparison of Wind Prevention and Sand Blocking Effects of 4 Types of Sand Blocking Nylon Nets in the Central Taklimakan Desert[J]

常用尼龙阻沙网的孔隙度为均匀分布,而风沙流结构在垂直方向上是非均匀分布的.通过设计4种孔隙度非均匀分布的尼龙阻沙网:大条带上疏下密式(A)、大条带上密下疏式(B)、小条带疏密相间式(C),将其布设在塔克拉玛干沙漠腹地的垄间平地,以均匀结构阻沙网为对照(CK).对4种阻沙网前后的风速变化、防风效能、积沙形态、积沙量进行对比.结果表明:①B阻沙网有效防护距离最短,仅为6H(H为阻沙网的高度),其余3种结构有效防护距离差别不大,均为15H;在网后10H处0.15m、0.3m和0.5m 3个观测高度,风速削弱程度的平均值存在明显差异,呈C＞A＞B＞CK.②在风季后期,4种结构阻沙网前后积沙量B最小,其余3种类型差别不大.③综合考虑防风和阻沙效益,C阻沙网提供了一个较好的结构模式,防护效益最好,B阻沙网最差,A和CK阻沙网效益相差不大.研究结果为高立式沙障结构优化设计提供了参考依据

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