焉耆县北大渠灌区盐碱土改良综合治理中间试验

针对当地土壤盐渍化的原因，采取了排、灌、平、肥林综合治理措施，使大面积盐碱土得到了一定改良，示范区内地下水位四年下降了８０公分，土壤含盐量不断减少，脱盐率后三年达６５．４－７３．７％，保苗率提高１２％，粮食产量八年翻了一番。在中试期间还进行了多项课题研究，其中１７项具有应用价值，镁质盐碱土的提出是通过盆地土壤类型新发现，研究了它的特点，还进行了改良措施的研究；竖井排灌取得了成效，为当地水资源综合利用、扩大耕地面积、防治土壤盐渍化具有深远意义；焉耆盆地土壤改良利用区划、水文地质条件的调查、三水综合利用等论述，可作为农业区划重要参考内容；根据水盐动态观测资料，提出的临界深度、起始临界深度、井型结构可作为竖井排灌设计参数。 成果类别： 应用技

黄石城区夏季大气PM_(10) / PM_(2. 5)中元素特征分析

随着对大气颗粒物研究的深入,人们认识到颗粒物对人体健康具有很大危害,颗粒物粒径越小,对人体健康危害越大.黄石市是长江中下游典型的资源性工矿城市,大气污染比较严重.本研究旨在通过对黄石大气颗粒物以及颗粒物中化学元素污染特征的分析,为黄石市大气污染治理及探讨颗粒物对人体健康的影响提供一定的依据.</p

气温与降水形态关系研究——以开都河流域为例[J]

基于开都河流域4个气象站点的日平均气温与不同降水形态数据的统计分析,结合海拔高程探讨不同降水形态下的降水频次和降水量与气温的分布规律,以及不同降水形态的降水频次与降水量发生在同一气温区间的比率变化。结果表明:流域内不同高程站点的降水频次和降水量与气温的分布关系基本呈单峰形态变化,各个站点95%的降雪频次和95%的降雨频次发生在不同的气温区间,95%的降雨量和95%的降雪量发生的气温区间分别小于95%的降雨频次和95%的降雪频次发生的气温区间。降雨形态下随着海拔的升高气温越低越容易降雨,且降雨量增多;降雪形态下随着海拔的升高气温越低越容易降雪,但是降雪量却随海拔的升高,温度越高降雪量越大。随着气..

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