玛纳斯河流域湿地平原水库群对流域生态环境作用的研究

玛纳斯河流域湿地水库群上接大河、下通灌区,是流域供水系统中最主要、保证率最高的供水水源。对位于玛纳斯河流域泉水溢出带中的湿地水库群对流域生态环境的作用进行了研究,结果表明,该湿地水库群在防止湿地萎缩退化、防止次生盐渍化、保护流域内生物多样性、防风固沙、防止土壤沙化、抵御洪、旱灾害威胁、加强湿地调控能力以及增加了绿洲的人口承载能力和生产力等方面起到了很好的保护作用。该湿地水库群的建设为干旱区山前潜水平原地区的生态工程建设、水资源安全与可持续利用提供了一种良好的示范

玛纳斯河流域生态与环境需水研究

在总结国内外关于生态和环境需水研究的基础上,本文界定了玛纳斯河流域生态与环境需水的内涵。结合国内外生态与环境需水量的计算方法和玛纳斯河流域的实际情况,初步探讨了玛纳斯河流域生态和环境需水的研究思路、计算内容和方法,并对玛纳斯河流域的生态与环境需水进行了分析计算,从而为定量评价玛纳斯河流域水资源的合理配置提供理论基础

玛纳斯河流域生态与环境需水研究初探

在总结国内外关于生态和环境需水研究的基础上,本文界定了玛纳斯河流域生态与环境需水的内涵。结合国内外生态与环境需水量的计算方法和玛纳斯河流域的实际情况,初步探讨了玛纳斯河流域生态和环境需水的研究思路、计算内容和方法,从而为定量评价玛纳斯河流域水资源的合理配置提供理论基础

灌溉工程环境影响评价的内容和方法探讨

以E IA的理论、方法体系和管理机制为指导,分析探讨了新疆兵团开展灌溉工程环境影响评价的内容和方法,可为兵团内其他灌区开展灌溉工程环境影响评价时借鉴参考,能够全面分析灌溉工程对环境的影响,利用有利影响,消除或减少不利影响,实现区域可持续发展提供指导

绿色木霉EU2-77纤维素酶对园艺废弃物的酶解特性分析

以溶剂萃取法对园艺废弃物进行预处理,利用本实验室自筛绿色木霉(Trichoderma viride)EU2-77产生的纤维素酶对预处理前后的园艺废弃物进行酶解.结果表明,经过预处理的园艺废弃物的酶解产物总还原糖收率为未预处理的22.55倍.绿色木霉EU2-77纤维素酶分别与商业菌株里氏木霉(T.reesei)RUT C30纤维素酶和商业酶进行酶解性能比较,得出该酶酶解总还原糖收率(316.4 mg/g)高于商业菌株里氏木霉RUT C30纤维素酶(232.4 mg/g)和商业酶Celluclast1.5L(239.6 mg/g);而与商业酶Celluclast 1.5L+Novozym188混合液酶解能力(331.6 mg/g)以及Celic Ctec酶解能力(303.2 mg/g)相差不大.绿色木霉EU2-77产生的纤维素酶可望在园艺废弃物的回收利用方面得到推广应用

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