昌吉回族自治州旅游资源普查及旅游业发展规划

对昌吉州３市５县的各类旅游资源进行了认真的实地调查，按科学系统分类对资源进行较详细地测量描述，并收集前人大量工作资料和成果，填写了１１８张资源调查卡片，对旅游资源及开发条件进行科学评价，并以此为依据，对旅游业发展的旅游资源区划，重点景区，主要旅游路线开发，客源市场，宾馆，交通通讯，旅游商品，人才等进行了全面规划。完成了昌吉州旅游资源普查及旅游业发展规划，报告分１０章，分别阐述了旅游环境；旅游业发展回顾；旅游业发展总体规划；旅游资源类型及特征；旅游资源评价与旅游资源区划；旅游资源开发区划；旅游客源市场分析及目标市场策略；旅游宾馆规划与人才预测；交通通讯规划和旅游商品规划并附旅游景点简介。为昌吉州旅游业投资建设提供依据，制定发展方向和目标。专家鉴定认为：基础工作系统扎实，资料数据充分准确，定性定量相结合，研究方法和技术路线有所创新，报告结构合理、层次分明，在同类研究中是较翔实，较完善的成果。在现有４０个景点基础上，发掘了一批新景点，对全州景点作了科学分类的评价，各项规划符合昌吉州自然，社会经济发展实际，具有较强的可操作性，为昌吉州旅游业的发展具有重要的科学和指导意义，研究成果达到中国先进水平

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研究通过现场调查、资料收集和遥感影像解译,分析了青海湖水质及刚毛藻分布特征的变化。研究结果表明, 2011-2019年间青海湖主要水质指标保持动态稳定,水质未呈现显著变化趋势。2019年现场调查发现,近岸浅水区域存在数量可观的刚毛藻分布,其中以鸟岛和布哈河口周边区域刚毛藻生物量最大, 8月的平均生物量达到5213.4 g/m~2。遥感影像分析显示,刚毛藻主要分布在青海湖西部及西北部湖湾及入湖河口附近, 1987-2019年间刚毛藻覆盖面积呈先下降后上升趋势。分析表明,近年来刚毛藻生物量增加和覆盖面积扩大可能与青海湖水位不断上涨以及新生浅水淹没区范围的扩大有关。目前,刚毛藻分布的这种变化对青海湖水生态环境的影响尚不明确,后续需进一步关注气候变化与人类活动双重影响下青海湖的水生态系统健康问题

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