中国近代旅游业与区域经济的新思考——读《滨海型城市青岛旅游业的演进》

作为国民经济的一个产业部门,旅游业之于地区经济发展的重要性已不言而喻,但二者间的互动机制却有待学界进一步明确和深化1。近读高玉玲博士所著之《滨海型城市青岛旅游业的演进(1898-2000)》一书(该书作为“厦门大学国学研究院资助出版丛书“第四十一种,由国家一级出版社厦门大学出版社于2013年9月出版,以下简称《滨海》),借青岛旅游演进历史的研究,就这一问题有了精彩的

Generalized Predictive Controller of a Water Hydraulic Variable Ballast System with Solenoid Valve Model-based Compensation

海水液压是目前最具竞争力的可调压载系统实现方式之一，因其诸多优点，可调压载系统（WHVBS）被公认为是大深度载人潜水器浮力调节的理想方式。为提高现有WHVBS在较高采样频率下的流量控制精度，提出一种基于电磁阀特性补偿（SVC）的广义模型预测控制方法（GPC），并进行仿真验证。结果表明，较GPC所提出的GPCSVC方法能实现较高频率下的小流量精确跟踪，并能避免流量控制元件非线性带来的辨识参数振荡问题。The water hydraulics is a competitive mechanism to adjust the ballast water and also is the best choice for ultra-deep sea manned submersible. In order to improve the flow-rate control performance in a higher sample frequency of the water hydraulic variable ballast system （WHVBS） , a generalized predictive controller with solenoid valve model-based compensation （GPCSVC） is proposed for simulation. As shown in simulation results, the GPCSVC can achieve a better tracing performance for small flow-rate than GPC in a higher sample frequency. Additionally, the osciUation of identification parameters in GPC, which is caused by the nonlinearity of WHVBS, is restrained by introduction of SVC.国家自然科学基金（51575200）;国家重点研发计划（2016YFC0300600,2016YFC0304800

塔里木河中下游荒漠化防治与生态系统管理研究与示范

该项目成果建立了荒漠区生态环境与经济和谐发展的模式，为正确处理生态环境建设与经济发展的关系提供了理论依据；建立了塔里木河中下游土地利用的5种模式和适宜性评价体系；创立了塔里木河中下游生态经济型植被的模式和结构优化配置方案；提出了6项绿洲灌溉农业节水节肥和棉花高产技术；确定了维护塔里木河中下游至大西海子和台特马湖生态安全的最低年需水量、最佳输水期，提出了塔里木河中下游天然植被合理地下水位的科学依据；揭示了塔里木河中下游30年断流输水后地表生态的响应规律；构建了数字塔河的框架，完成了水、土、植被等23个因子的图层

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